Technical Indicators Defined and Explained

Former investment bank FX trader: news trading and second order thinking

Former investment bank FX trader: news trading and second order thinking
Thanks to everyone who responded to the previous pieces on risk management. We ended up with nearly 2,000 upvotes and I'm delighted so many of you found it useful.
This time we're going to focus on a new area: reacting to and trading around news and fundamental developments.
A lot of people get this totally wrong and the main reason is that they trade the news at face value, without considering what the market had already priced in. If you've ever seen what you consider to be "good" or "better than forecast" news come out and yet been confused as the pair did nothing or moved in the opposite direction to expected, read on...
We are going to do this in two parts.
Part I
  • Introduction
  • Why use an economic calendar
  • How to read the calendar
  • Knowing what's priced in
  • Surveys
  • Rates decisions
  • First order thinking vs second order thinking

Introduction

Knowing how to use and benefit from the economic calendar is key for all traders - not just news traders.
In this chapter we are going to take a practical look at how to use the economic calendar. We are also going to look at how to interpret news using second order thinking.
The key concept is learning what has already been ‘priced in’ by the market so we can estimate how the market price might react to the new information.

Why use an economic calendar

The economic calendar contains all the scheduled economic releases for that day and week. Even if you purely trade based on technical analysis, you still must know what is in store.

https://preview.redd.it/20xdiq6gq4k51.png?width=1200&format=png&auto=webp&s=6cd47186db1039be7df4d7ad6782de36da48f1db
Why? Three main reasons.
Firstly, releases can help provide direction. They create trends. For example if GBPUSD has been fluctuating aimlessly within a range and suddenly the Bank of England starts raising rates you better believe the British Pound will start to move. Big news events often start long-term trends which you can trade around.
Secondly, a lot of the volatility occurs around these events. This is because these events give the market new information. Prior to a big scheduled release like the US Non Farm Payrolls you might find no one wants to take a big position. After it is released the market may move violently and potentially not just in a single direction - often prices may overshoot and come back down. Even without a trend this volatility provides lots of trading opportunities for the day trader.

https://preview.redd.it/u17iwbhiq4k51.png?width=1200&format=png&auto=webp&s=98ea8ed154c9468cb62037668c38e7387f2435af
Finally, these releases can change trends. Going into a huge release because of a technical indicator makes little sense. Everything could reverse and stop you out in a moment. You need to be aware of which events are likely to influence the positions you have on so you can decide whether to keep the positions or flatten exposure before the binary event for which you have no edge.
Most traders will therefore ‘scan’ the calendar for the week ahead, noting what the big events are and when they will occur. Then you can focus on each day at a time.

Reading the economic calendar


Most calendars show events cut by trading day. Helpfully they adjust the time of each release to your own timezone. For example we can see that the Bank of Japan Interest Rate decision is happening at 4am local time for this particular London-based trader.

https://preview.redd.it/lmx0q9qoq4k51.jpg?width=1200&format=pjpg&auto=webp&s=c6e9e1533b1ba236e51296de8db3be55dfa78ba1

Note that some events do not happen at a specific time. Think of a Central Banker’s speech for example - this can go on for an hour. It is not like an economic statistic that gets released at a precise time. Clicking the finger emoji will open up additional information on each event.

Event importance

How do you define importance? Well, some events are always unimportant. With the greatest of respect to Italian farmers, nobody cares about mundane releases like Italian farm productivity figures.
Other events always seem to be important. That means, markets consistently react to them and prices move. Interest rate decisions are an example of consistently high importance events.
So the Medium and High can be thought of as guides to how much each event typically affects markets. They are not perfect guides, however, as different events are more or less important depending on the circumstances.
For example, imagine the UK economy was undergoing a consumer-led recovery. The Central Bank has said it would raise interest rates (making GBPUSD move higher) if they feel the consumer is confident.
Consumer confidence data would suddenly become an extremely important event. At other times, when the Central Bank has not said it is focused on the consumer, this release might be near irrelevant.

Knowing what's priced in

Next to each piece of economic data you can normally see three figures. Actual, Forecast, and Previous.
  • Actual refers to the number as it is released.
  • Forecast refers to the consensus estimate from analysts.
  • Previous is what it was last time.
We are going to look at this in a bit more detail later but what you care about is when numbers are better or worse than expected. Whether a number is ‘good’ or ‘bad’ really does not matter much. Yes, really.

Once you understand that markets move based on the news vs expectations, you will be less confused by price action around events

This is a common misunderstanding. Say everyone is expecting ‘great’ economic data and it comes out as ‘good’. Does the price go up?
You might think it should. After all, the economic data was good. However, everyone expected it to be great and it was just … good. The great release was ‘priced in’ by the market already. Most likely the price will be disappointed and go down.
By priced in we simply mean that the market expected it and already bought or sold. The information was already in the price before the announcement.
Incidentally the official forecasts can be pretty stale and might not accurately capture what active traders in the market expect. See the following example.

An example of pricing in

For example, let’s say the market is focused on the number of Tesla deliveries. Analysts think it’ll be 100,000 this quarter. But Elon Musk tweets something that hints he’s really, really, really looking forward to the analyst call. Tesla’s price ticks higher after the tweet as traders put on positions, reflecting the sentiment that Tesla is likely to massively beat the 100,000. (This example is not a real one - it just serves to illustrate the concept.)

Tesla deliveries are up hugely vs last quarter ... but they are disappointing vs market expectations ... what do you think will happen to the stock?

On the day it turns out Tesla hit 101,000. A better than the officially forecasted result - sure - but only marginally. Way below what readers of Musk's twitter account might have thought. Disappointed traders may sell their longs and close out the positions. The stock might go down on ‘good’ results because the market had priced in something even better. (This example is not a real one - it just serves to illustrate the concept.)

Surveys

It can be a little hard to know what the market really expects. Often the published forecasts are stale and do not reflect what actual traders and investors are looking for.
One of the most effective ways is a simple survey of investors. Something like a Twitter poll like this one from CNBC is freely available and not a bad barometer.
CNBC, Bloomberg and other business TV stations often have polls on their Twitter accounts that let you know what others are expecting

Interest rates decisions

We know that interest rates heavily affect currency prices.
For major interest rate decisions there’s a great tool on the CME’s website that you can use.

See the link for a demo

This gives you a % probability of each interest rate level, implied by traded prices in the bond futures market. For example, in the case above the market thinks there’s a 20% chance the Fed will cut rates to 75-100bp.
Obviously this is far more accurate than analyst estimates because it uses actual bond prices where market participants are directly taking risk and placing bets. It basically looks at what interest rate traders are willing to lend at just before/after the date of the central bank meeting to imply the odds that the market ascribes to a change on that date.
Always try to estimate what the market has priced in. That way you have some context for whether the release really was better or worse than expected.

Second order thinking

You have to know what the market expects to try and guess how it’ll react. This is referred to by Howard Marks of Oaktree as second-level thinking. His explanation is so clear I am going to quote extensively.
It really is hard to improve on this clarity of thought:
First-level thinking is simplistic and superficial, and just about everyone can do it (a bad sign for anything involving an attempt at superiority). All the first-level thinker needs is an opinion about the future, as in “The outlook for the company is favorable, meaning the stock will go up.” Second-level thinking is deep, complex and convoluted.
Howard Marks
He explains first-level thinking:
The first-level thinker simply looks for the highest quality company, the best product, the fastest earnings growth or the lowest p/e ratio. He’s ignorant of the very existence of a second level at which to think, and of the need to pursue it.
Howard Marks
The above describes the guy who sees a 101,000 result and buys Tesla stock because - hey, this beat expectations. Marks goes on to describe second-level thinking:
The second-level thinker goes through a much more complex process when thinking about buying an asset. Is it good? Do others think it’s as good as I think it is? Is it really as good as I think it is? Is it as good as others think it is? Is it as good as others think others think it is? How will it change? How do others think it will change? How is it priced given: its current condition; how do I think its conditions will change; how others think it will change; and how others think others think it will change? And that’s just the beginning. No, this isn’t easy.
Howard Marks
In this version of events you are always thinking about the market’s response to Tesla results.
What do you think they’ll announce? What has the market priced in? Is Musk reliable? Are the people who bought because of his tweet likely to hold on if he disappoints or exit immediately? If it goes up at which price will they take profit? How big a number is now considered ‘wow’ by the market?
As Marks says: not easy. However, you need to start getting into the habit of thinking like this if you want to beat the market. You can make gameplans in advance for various scenarios.
Here are some examples from Marks to illustrate the difference between first order and second order thinking.

Some further examples
Trying to react fast to headlines is impossible in today’s market of ultra fast computers. You will never win on speed. Therefore you have to out-think the average participant.

Coming up in part II

Now that we have a basic understanding of concepts such as expectations and what the market has priced in, we can look at some interesting trading techniques and tools.
Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The trimming position effect
  • Reversals
  • Some key FX releases
Hope you enjoyed this note. As always, please reply with any questions/feedback - it is fun to hear from you.
***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

I was creating photos including trading tips and then I collected it to write an article on those tips !

I have so far created tips on strategies like • Price Action Trading • Range Trading Startegy • Trend Trading Startegy • Position Trading • Day Trading Startegy
Price Action Trading :-
This type of trading strategy involves the study of historical prices to formulate technical trading strategies. It is used by retail traders, speculators, arbitrageurs and trading firms who employ traders.
Range Trading Startegy :-
This strategy works well in market without significant volatility and no discernible trend. Technical analysis is the primary tool used with this strategy. Markets trends about 30% of the time which means the other 70% is a trading range.
Trend Trading Startegy :-
Trend trading attempts to yield positive returns by exploiting markets directional momentum.
Position Trading :-
This is a long-term strategy primarily focused on fundamental factors.This strategy can be employed on all markets from stocks to forex.
Day Trading Startegy :-
This is a strategy made to trade financial instruments within the same trading day. Its one of the most famous trading strategies.
All these strategies are available on this source with pictures :- https://jaskaransaini.com/forex-trading-tips-with-pictures/
Indicator Basics are also here !
Indicator Basics
MACD- BUY/SELL SIGNAL
RSI- OVERBOUGHT/OVERSOLD
BOLLINGER BANDS- VOLATILITY LEVELS
9 EMA- SHORT TERM TREND
21 EMA- ENTRY/EXIT POINTS
50 EMA- PLACE STOP LOSS
200 EMA- LONG TERM TREND
VWAP- INTRADAY BREAKOUTS
ADX- STRENGTH OF THE TREND
submitted by lazymentors to Daytrading [link] [comments]

Top Strategies that I Kno & Indicator Basics

• PRICE ACTION TRADING
RANGE TRADING STRATEGY
TREND TRADING STRATEGY
POSITION TRADING
DAY TRADING STRATEGY
Indicator Basics
MACD- BUY/SELL SIGNAL
RSI- OVERBOUGHT/OVERSOLD
BOLLINGER BANDS- VOLATILITY LEVELS
9 EMA- SHORT TERM TREND
21 EMA- ENTRY/EXIT POINTS
50 EMA- PLACE STOP LOSS
200 EMA- LONG TERM TREND
VWAP- INTRADAY BREAKOUTS
ADX- STRENGTH OF THE TREND
Price Action Trading :- This type of trading strategy involves the study of historical prices to formulate technical trading strategies. It is used by retail traders, speculators, arbitrageurs and trading firms who employ traders.
Range Trading Startegy :- This strategy works well in market without significant volatility and no discernible trend. Technical analysis is the primary tool used with this strategy. Markets trends about 30% of the time which means the other 70% is a trading range.
Trend Trading Startegy :- Trend trading attempts to yield positive returns by exploiting markets directional momentum.
Position Trading :- This is a long-term strategy primarily focused on fundamental factors.This strategy can be employed on all markets from stocks to forex.
Day Trading Startegy :- This is a strategy made to trade financial instruments within the same trading day. Its one of the most famous trading strategies.
Source :- https://jaskaransaini.com/forex-trading-tips-with-pictures/?_gl=1%2Aks9kf3%2A_ga%2AYW1wLVNDZWZTcnlrbXdONGJ3UlBFSUVfWWc.
Above article include trading strategy with pictures , please if you know another strategy. Please tell that in comments and make me know !
submitted by lazymentors to options [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are.
TL;DR at the bottom for those not interested in the details.
This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.

Background

For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX!
I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose.
This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem.
I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.

System Details

I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:

And now for the fun. Results!

As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker.
EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.

A Note on Spread

As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits.
Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way).
However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades.
You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term.
Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.

Time of Day

Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either.
On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate.
That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.

Moving stops up to breakeven

This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers.
Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability.
One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)?
Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right?
Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert.
I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall.
The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.

2-Candle vs Confirmation Candle Stops

Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it.
Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL.
Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.

Correlated Trades

As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular.
Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system.
This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here).
Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses.
Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels).
Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant.
One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak.
EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much.
I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system.
This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions.
There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated.
I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful.
Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.

What I will trade

Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
Looking at the data for these rules, test results are:
I'll be sure to let everyone know how it goes!

Other Technical Details

Raw Data

Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.)
I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.

Insanely detailed spreadsheet notes

For you real nerds out there. Here's an explanation of what each column means:

Pairs

  1. AUD/CAD
  2. AUD/CHF
  3. AUD/JPY
  4. AUD/NZD
  5. AUD/USD
  6. CAD/CHF
  7. CAD/JPY
  8. CHF/JPY
  9. EUAUD
  10. EUCAD
  11. EUCHF
  12. EUGBP
  13. EUJPY
  14. EUNZD
  15. EUUSD
  16. GBP/AUD
  17. GBP/CAD
  18. GBP/CHF
  19. GBP/JPY
  20. GBP/NZD
  21. GBP/USD
  22. NZD/CAD
  23. NZD/CHF
  24. NZD/JPY
  25. NZD/USD
  26. USD/CAD
  27. USD/CHF
  28. USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc).
A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade.
I'm heading out of town next week, then after that it'll be time to take this sucker live!

Live Trading Results

I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
submitted by ForexBorex to Forex [link] [comments]

Summarizing some free trading idea resources I've been using

I've been following many free resources on youtube and twitter to generate trading ideas. Some of them are suspicious; some are more like boasting their wining trades but never post any losing trades. I see many people ask about trading ideas/resources, so I want to briefly share some resources I find useful.

Twitter resources:
  1. @ TicTocTick


  1. @ tradingwarz


  1. @ traderstewie


Youtube resources:
  1. Conquer trading and investing. https://www.youtube.com/channel/UCN2WmKUchJpIcS1MupY-BuA


  1. Blaze Capital: https://www.youtube.com/channel/UCq0BCGckWWjrnV8YdYO24JA
Other notes:
  1. The scalping trades in the morning is not very suitable for small accounts since they will trade for example 100 shares of BA (~160) to scalp a few dollars per share.
  2. Even though the stocks on their weekly watchlist does well very, one still need to come up with an actionable plan. Very often say they recommend stock A on Sunday, and on Monday it already gaps up big. They sometimes do YOLO options -- big risk big rewards-- options can go to 0.
  3. Besides the free content, everyone can get a free one-week trial for their paid membership, or a 2-week free trial by winning a lottery game on their youtube ( what I did) or knowing someone in their group and get a referral. What I like about the group: (i) very frequently updates each day on SPY and stocks on the watchlist. (ii) all their positions, Profit / Loss are very transparent. I learned a lot about how to manage trades by observing their live trades. (iii) There are many very experienced traders in the group posting their trading ideas, plans, entry/exit, and there are many live discussions. (iv) There's a "helpdesk" in the group where members' questions will be answered in minutes. I often ask about my trading plan, entries/ targets.




Other resources:
  1. Shadow trader free newsletter
https://www.shadowtrader.net/newsletter-category/swing-trade


I've spent much time looking for free contents, and I like the ones above. Also looking forward to hearing about other good/bad resources. I might also update this post if there are enough interests. NFA
submitted by Busy-Valuable to Daytrading [link] [comments]

Former investment bank FX trader: Risk management part II

Former investment bank FX trader: Risk management part II
Firstly, thanks for the overwhelming comments and feedback. Genuinely really appreciated. I am pleased 500+ of you find it useful.
If you didn't read the first post you can do so here: risk management part I. You'll need to do so in order to make sense of the topic.
As ever please comment/reply below with questions or feedback and I'll do my best to get back to you.
Part II
  • Letting stops breathe
  • When to change a stop
  • Entering and exiting winning positions
  • Risk:reward ratios
  • Risk-adjusted returns

Letting stops breathe

We talked earlier about giving a position enough room to breathe so it is not stopped out in day-to-day noise.
Let’s consider the chart below and imagine you had a trailing stop. It would be super painful to miss out on the wider move just because you left a stop that was too tight.

Imagine being long and stopped out on a meaningless retracement ... ouch!
One simple technique is simply to look at your chosen chart - let’s say daily bars. And then look at previous trends and use the measuring tool. Those generally look something like this and then you just click and drag to measure.
For example if we wanted to bet on a downtrend on the chart above we might look at the biggest retracement on the previous uptrend. That max drawdown was about 100 pips or just under 1%. So you’d want your stop to be able to withstand at least that.
If market conditions have changed - for example if CVIX has risen - and daily ranges are now higher you should incorporate that. If you know a big event is coming up you might think about that, too. The human brain is a remarkable tool and the power of the eye-ball method is not to be dismissed. This is how most discretionary traders do it.
There are also more analytical approaches.
Some look at the Average True Range (ATR). This attempts to capture the volatility of a pair, typically averaged over a number of sessions. It looks at three separate measures and takes the largest reading. Think of this as a moving average of how much a pair moves.
For example, below shows the daily move in EURUSD was around 60 pips before spiking to 140 pips in March. Conditions were clearly far more volatile in March. Accordingly, you would need to leave your stop further away in March and take a correspondingly smaller position size.

ATR is available on pretty much all charting systems
Professional traders tend to use standard deviation as a measure of volatility instead of ATR. There are advantages and disadvantages to both. Averages are useful but can be misleading when regimes switch (see above chart).
Once you have chosen a measure of volatility, stop distance can then be back-tested and optimised. For example does 2x ATR work best or 5x ATR for a given style and time horizon?
Discretionary traders may still eye-ball the ATR or standard deviation to get a feeling for how it has changed over time and what ‘normal’ feels like for a chosen study period - daily, weekly, monthly etc.

Reasons to change a stop

As a general rule you should be disciplined and not change your stops. Remember - losers average losers. This is really hard at first and we’re going to look at that in more detail later.
There are some good reasons to modify stops but they are rare.
One reason is if another risk management process demands you stop trading and close positions. We’ll look at this later. In that case just close out your positions at market and take the loss/gains as they are.
Another is event risk. If you have some big upcoming data like Non Farm Payrolls that you know can move the market +/- 150 pips and you have no edge going into the release then many traders will take off or scale down their positions. They’ll go back into the positions when the data is out and the market has quietened down after fifteen minutes or so. This is a matter of some debate - many traders consider it a coin toss and argue you win some and lose some and it all averages out.
Trailing stops can also be used to ‘lock in’ profits. We looked at those before. As the trade moves in your favour (say up if you are long) the stop loss ratchets with it. This means you may well end up ‘stopping out’ at a profit - as per the below example.

The mighty trailing stop loss order
It is perfectly reasonable to have your stop loss move in the direction of PNL. This is not exposing you to more risk than you originally were comfortable with. It is taking less and less risk as the trade moves in your favour. Trend-followers in particular love trailing stops.
One final question traders ask is what they should do if they get stopped out but still like the trade. Should they try the same trade again a day later for the same reasons? Nope. Look for a different trade rather than getting emotionally wed to the original idea.
Let’s say a particular stock looked cheap based on valuation metrics yesterday, you bought, it went down and you got stopped out. Well, it is going to look even better on those same metrics today. Maybe the market just doesn’t respect value at the moment and is driven by momentum. Wait it out.
Otherwise, why even have a stop in the first place?

Entering and exiting winning positions

Take profits are the opposite of stop losses. They are also resting orders, left with the broker, to automatically close your position if it reaches a certain price.
Imagine I’m long EURUSD at 1.1250. If it hits a previous high of 1.1400 (150 pips higher) I will leave a sell order to take profit and close the position.
The rookie mistake on take profits is to take profit too early. One should start from the assumption that you will win on no more than half of your trades. Therefore you will need to ensure that you win more on the ones that work than you lose on those that don’t.

Sad to say but incredibly common: retail traders often take profits way too early
This is going to be the exact opposite of what your emotions want you to do. We are going to look at that in the Psychology of Trading chapter.
Remember: let winners run. Just like stops you need to know in advance the level where you will close out at a profit. Then let the trade happen. Don’t override yourself and let emotions force you to take a small profit. A classic mistake to avoid.
The trader puts on a trade and it almost stops out before rebounding. As soon as it is slightly in the money they spook and cut out, instead of letting it run to their original take profit. Do not do this.

Entering positions with limit orders

That covers exiting a position but how about getting into one?
Take profits can also be left speculatively to enter a position. Sometimes referred to as “bids” (buy orders) or “offers” (sell orders). Imagine the price is 1.1250 and the recent low is 1.1205.
You might wish to leave a bid around 1.2010 to enter a long position, if the market reaches that price. This way you don’t need to sit at the computer and wait.
Again, typically traders will use tech analysis to identify attractive levels. Again - other traders will cluster with your orders. Just like the stop loss we need to bake that in.
So this time if we know everyone is going to buy around the recent low of 1.1205 we might leave the take profit bit a little bit above there at 1.1210 to ensure it gets done. Sure it costs 5 more pips but how mad would you be if the low was 1.1207 and then it rallied a hundred points and you didn’t have the trade on?!
There are two more methods that traders often use for entering a position.
Scaling in is one such technique. Let’s imagine that you think we are in a long-term bulltrend for AUDUSD but experiencing a brief retracement. You want to take a total position of 500,000 AUD and don’t have a strong view on the current price action.
You might therefore leave a series of five bids of 100,000. As the price moves lower each one gets hit. The nice thing about scaling in is it reduces pressure on you to pick the perfect level. Of course the risk is that not all your orders get hit before the price moves higher and you have to trade at-market.
Pyramiding is the second technique. Pyramiding is for take profits what a trailing stop loss is to regular stops. It is especially common for momentum traders.

Pyramiding into a position means buying more as it goes in your favour
Again let’s imagine we’re bullish AUDUSD and want to take a position of 500,000 AUD.
Here we add 100,000 when our first signal is reached. Then we add subsequent clips of 100,000 when the trade moves in our favour. We are waiting for confirmation that the move is correct.
Obviously this is quite nice as we humans love trading when it goes in our direction. However, the drawback is obvious: we haven’t had the full amount of risk on from the start of the trend.
You can see the attractions and drawbacks of both approaches. It is best to experiment and choose techniques that work for your own personal psychology as these will be the easiest for you to stick with and build a disciplined process around.

Risk:reward and win ratios

Be extremely skeptical of people who claim to win on 80% of trades. Most traders will win on roughly 50% of trades and lose on 50% of trades. This is why risk management is so important!
Once you start keeping a trading journal you’ll be able to see how the win/loss ratio looks for you. Until then, assume you’re typical and that every other trade will lose money.
If that is the case then you need to be sure you make more on the wins than you lose on the losses. You can see the effect of this below.

A combination of win % and risk:reward ratio determine if you are profitable
A typical rule of thumb is that a ratio of 1:3 works well for most traders.
That is, if you are prepared to risk 100 pips on your stop you should be setting a take profit at a level that would return you 300 pips.
One needn’t be religious about these numbers - 11 pips and 28 pips would be perfectly fine - but they are a guideline.
Again - you should still use technical analysis to find meaningful chart levels for both the stop and take profit. Don’t just blindly take your stop distance and do 3x the pips on the other side as your take profit. Use the ratio to set approximate targets and then look for a relevant resistance or support level in that kind of region.

Risk-adjusted returns

Not all returns are equal. Suppose you are examining the track record of two traders. Now, both have produced a return of 14% over the year. Not bad!
The first trader, however, made hundreds of small bets throughout the year and his cumulative PNL looked like the left image below.
The second trader made just one bet — he sold CADJPY at the start of the year — and his PNL looked like the right image below with lots of large drawdowns and volatility.
Would you rather have the first trading record or the second?
If you were investing money and betting on who would do well next year which would you choose? Of course all sensible people would choose the first trader. Yet if you look only at returns one cannot distinguish between the two. Both are up 14% at that point in time. This is where the Sharpe ratio helps .
A high Sharpe ratio indicates that a portfolio has better risk-adjusted performance. One cannot sensibly compare returns without considering the risk taken to earn that return.
If I can earn 80% of the return of another investor at only 50% of the risk then a rational investor should simply leverage me at 2x and enjoy 160% of the return at the same level of risk.
This is very important in the context of Execution Advisor algorithms (EAs) that are popular in the retail community. You must evaluate historic performance by its risk-adjusted return — not just the nominal return. Incidentally look at the Sharpe ratio of ones that have been live for a year or more ...
Otherwise an EA developer could produce two EAs: the first simply buys at 1000:1 leverage on January 1st ; and the second sells in the same manner. At the end of the year, one of them will be discarded and the other will look incredible. Its risk-adjusted return, however, would be abysmal and the odds of repeated success are similarly poor.

Sharpe ratio

The Sharpe ratio works like this:
  • It takes the average returns of your strategy;
  • It deducts from these the risk-free rate of return i.e. the rate anyone could have got by investing in US government bonds with very little risk;
  • It then divides this total return by its own volatility - the more smooth the return the higher and better the Sharpe, the more volatile the lower and worse the Sharpe.
For example, say the return last year was 15% with a volatility of 10% and US bonds are trading at 2%. That gives (15-2)/10 or a Sharpe ratio of 1.3. As a rule of thumb a Sharpe ratio of above 0.5 would be considered decent for a discretionary retail trader. Above 1 is excellent.
You don’t really need to know how to calculate Sharpe ratios. Good trading software will do this for you. It will either be available in the system by default or you can add a plug-in.

VAR

VAR is another useful measure to help with drawdowns. It stands for Value at Risk. Normally people will use 99% VAR (conservative) or 95% VAR (aggressive). Let’s say you’re long EURUSD and using 95% VAR. The system will look at the historic movement of EURUSD. It might spit out a number of -1.2%.

A 5% VAR of -1.2% tells you you should expect to lose 1.2% on 5% of days, whilst 95% of days should be better than that
This means it is expected that on 5 days out of 100 (hence the 95%) the portfolio will lose 1.2% or more. This can help you manage your capital by taking appropriately sized positions. Typically you would look at VAR across your portfolio of trades rather than trade by trade.
Sharpe ratios and VAR don’t give you the whole picture, though. Legendary fund manager, Howard Marks of Oaktree, notes that, while tools like VAR and Sharpe ratios are helpful and absolutely necessary, the best investors will also overlay their own judgment.
Investors can calculate risk metrics like VaR and Sharpe ratios (we use them at Oaktree; they’re the best tools we have), but they shouldn’t put too much faith in them. The bottom line for me is that risk management should be the responsibility of every participant in the investment process, applying experience, judgment and knowledge of the underlying investments.Howard Marks of Oaktree Capital
What he’s saying is don’t misplace your common sense. Do use these tools as they are helpful. However, you cannot fully rely on them. Both assume a normal distribution of returns. Whereas in real life you get “black swans” - events that should supposedly happen only once every thousand years but which actually seem to happen fairly often.
These outlier events are often referred to as “tail risk”. Don’t make the mistake of saying “well, the model said…” - overlay what the model is telling you with your own common sense and good judgment.

Coming up in part III

Available here
Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

VfxAlert signals and candlestick patterns

VfxAlert signals and candlestick patterns
All how to make on binary options strategies should take into account all market analysis options. You cannot make a decision on only one instrument, even if these are candlestick analysis patterns.
Let's start with trend signals, see examples of vfxAlert binary signals.
Currency pair GBP/USD and a strong signal on PUT-option signal. Let's look at the price chart - confirmation by the "Three Method" candlestick pattern and you can open an option with an expiration of 5-10 minutes.

https://preview.redd.it/gwn6hg5fs8p51.png?width=1100&format=png&auto=webp&s=f67cae8d8fde0e38a27318f8eadea0e2c3cad495
The signal appeared at the intersection of the moving average ("MA" on the signal panel). Traders see this. The option opens on a reversal, but then there are also candlestick patterns, and new PUT-signals with the “MA” label open the next options with a large volume.
The next signal on the CCI indicator shows the dynamics of the current trend. Created for the stock market, where trends are long and easier to find. On Forex, volatility is higher and there may be strong corrections and pullbacks that "break" the indicator. In the figure, binary options trading signals is confirmed by a strong candle pattern – the price goes towards the gap and you can open a CALL-option.
Reversal real binary options signals vfxAlert.
More reliable than trendy ones, beginners should start with them. It is easier to see and understand: "Bulling engulfing" pattern, which means the "bulls" managed to shift the balance of power to themselves and start an uptend on EUR / GBP. The vfxAlert signal confirms this by technical analysis of the RSI indicator.

https://preview.redd.it/gpikbe6js8p51.png?width=1100&format=png&auto=webp&s=8581ebe0a59f665b78891996f23d95c289972250
Doji candlestick appeared on EUUSD. In candlestick analysis, this is the strongest reversal pattern. The vfxAlert binary options signal according to Parabolic SAR trend confirms the beginning of the downtrend. After one candlestick, the trend started you can open the PUT-option.
The trader looks at «Power» value first, the market may be sideways, and candlestick patterns are false:

https://preview.redd.it/efwtnupms8p51.png?width=1100&format=png&auto=webp&s=1170e6526704d44ec1a0ee936de5797f41e61d31
We always start testing combination "vfxAlert live binary signals + candlestick patterns" on a demo account. You only receive recommendations and must make sure that they fit your strategy, trading session and trading style.
submitted by vfxAlert to u/vfxAlert [link] [comments]

Forex Signals Reddit: top providers review (part 1)

Forex Signals Reddit: top providers review (part 1)

Forex Signals - TOP Best Services. Checked!

To invest in the financial markets, we must acquire good tools that help us carry out our operations in the best possible way. In this sense, we always talk about the importance of brokers, however, signal systems must also be taken into account.
The platforms that offer signals to invest in forex provide us with alerts that will help us in a significant way to be able to carry out successful operations.
For this reason, we are going to tell you about the importance of these alerts in relation to the trading we carry out, because, without a doubt, this type of system will provide us with very good information to invest at the right time and in the best assets in the different markets. financial
Within this context, we will focus on Forex signals, since it is the most important market in the world, since in it, multiple transactions are carried out on a daily basis, hence the importance of having an alert system that offers us all the necessary data to invest in currencies.
Also, as we all already know, cryptocurrencies have become a very popular alternative to investing in traditional currencies. Therefore, some trading services/tools have emerged that help us to carry out successful operations in this particular market.
In the following points, we will detail everything you need to know to start operating in the financial markets using trading signals: what are signals, how do they work, because they are a very powerful help, etc. Let's go there!

What are Forex Trading Signals?

https://preview.redd.it/vjdnt1qrpny51.jpg?width=640&format=pjpg&auto=webp&s=bc541fc996701e5b4dd940abed610b59456a5625
Before explaining the importance of Forex signals, let's start by making a small note so that we know what exactly these alerts are.
Thus, we will know that the signals on the currency market are received by traders to know all the information that concerns Forex, both for assets and for the market itself.
These alerts allow us to know the movements that occur in the Forex market and the changes that occur in the different currency pairs. But the great advantage that this type of system gives us is that they provide us with the necessary information, to know when is the right time to carry out our investments.
In other words, through these signals, we will know the opportunities that are presented in the market and we will be able to carry out operations that can become quite profitable.
Profitability is precisely another of the fundamental aspects that must be taken into account when we talk about Forex signals since the vast majority of these alerts offer fairly reliable data on assets. Similarly, these signals can also provide us with recommendations or advice to make our operations more successful.

»Purpose: predict movements to carry out Profitable Operations

In short, Forex signal systems aim to predict the behavior that the different assets that are in the market will present and this is achieved thanks to new technologies, the creation of specialized software, and of course, the work of financial experts.
In addition, it must also be borne in mind that the reliability of these alerts largely lies in the fact that they are prepared by financial professionals. So they turn out to be a perfect tool so that our investments can bring us a greater number of benefits.

The best signal services today

We are going to tell you about the 3 main alert system services that we currently have on the market. There are many more, but I can assure these are not scams and are reliable. Of course, not 100% of trades will be a winner, so please make sure you apply proper money management and risk management system.

1. 1000pipbuilder (top choice)

Fast track your success and follow the high-performance Forex signals from 1000pip Builder. These Forex signals are rated 5 stars on Investing.com, so you can follow every signal with confidence. All signals are sent by a professional trader with over 10 years investment experience. This is a unique opportunity to see with your own eyes how a professional Forex trader trades the markets.
The 1000pip Builder Membership is ordinarily a signal service for Forex trading. You will get all the facts you need to successfully comply with the trading signals, set your stop loss and take earnings as well as additional techniques and techniques!
You will get easy to use trading indicators for Forex Trades, including your entry, stop loss and take profit. Overall, the earnings target per months is 350 Pips, depending on your funding this can be a high profit per month! (In fact, there is by no means a guarantee, but the past months had been all between 600 – 1000 Pips).
>>>Know more about 1000pipbuilder
Your 1000pip builder membership gives you all in hand you want to start trading Forex with success. Read the directions and wait for the first signals. You can trade them inside your demo account first, so you can take a look at the performance before you make investments real money!
Features:
  • Free Trial
  • Forex signals sent by email and SMS
  • Entry price, take profit and stop loss provided
  • Suitable for all time zones (signals sent over 24 hours)
  • MyFXBook verified performance
  • 10 years of investment experience
  • Target 300-400 pips per month
Pricing:
https://preview.redd.it/zjc10xx6ony51.png?width=668&format=png&auto=webp&s=9b0eac95f8b584dc0cdb62503e851d7036c0232b
VISIT 1000ipbuilder here

2. DDMarkets

Digital Derivatives Markets (DDMarkets) have been providing trade alert offerings since May 2014 - fully documenting their change ideas in an open and transparent manner.
September 2020 performance report for DD Markets.
Their manner is simple: carry out extensive research, share their evaluation and then deliver a trading sign when triggered. Once issued, daily updates on the trade are despatched to members via email.
It's essential to note that DDMarkets do not tolerate floating in an open drawdown in an effort to earnings at any cost - a common method used by less professional providers to 'fudge' performance statistics.
Verified Statistics: Not independently verified.
Price: plans from $74.40 per month.
Year Founded: 2014
Suitable for Beginners: Yes, (includes handy to follow trade analysis)
VISIT
-------

3. JKonFX

If you are looking or a forex signal service with a reliable (and profitable) music record you can't go previous Joel Kruger and the team at JKonFX.
Trading performance file for JKonFX.
Joel has delivered a reputable +59.18% journal performance for 2016, imparting real-time technical and fundamental insights, in an extremely obvious manner, to their 30,000+ subscriber base. Considered a low-frequency trader, alerts are only a small phase of the overall JKonFX subscription. If you're searching for hundreds of signals, you may want to consider other options.
Verified Statistics: Not independently verified.
Price: plans from $30 per month.
Year Founded: 2014
Suitable for Beginners: Yes, (includes convenient to follow videos updates).
VISIT

The importance of signals to invest in Forex

Once we have known what Forex signals are, we must comment on the importance of these alerts in relation to our operations.
As we have already told you in the previous paragraph, having a system of signals to be able to invest is quite advantageous, since, through these alerts, we will obtain quality information so that our operations end up being a true success.

»Use of signals for beginners and experts

In this sense, we have to say that one of the main advantages of Forex signals is that they can be used by both beginners and trading professionals.
As many as others can benefit from using a trading signal system because the more information and resources we have in our hands. The greater probability of success we will have. Let's see how beginners and experts can take advantage of alerts:
  • Beginners: for inexperienced these alerts become even more important since they will thus have an additional tool that will guide them to carry out all operations in the Forex market.
  • Professionals: In the same way, professionals are also recommended to make use of these alerts, so they have adequate information to continue bringing their investments to fruition.
Now that we know that both beginners and experts can use forex signals to invest, let's see what other advantages they have.

»Trading automation

When we dedicate ourselves to working in the financial world, none of us can spend 24 hours in front of the computer waiting to perform the perfect operation, it is impossible.
That is why Forex signals are important, because, in order to carry out our investments, all we will have to do is wait for those signals to arrive, be attentive to all the alerts we receive, and thus, operate at the right time according to the opportunities that have arisen.
It is fantastic to have a tool like this one that makes our work easier in this regard.

»Carry out profitable Forex operations

These signals are also important, because the vast majority of them are usually quite profitable, for this reason, we must get an alert system that provides us with accurate information so that our operations can bring us great benefits.
But in addition, these Forex signals have an added value and that is that they are very easy to understand, therefore, we will have a very useful tool at hand that will not be complicated and will end up being a very beneficial weapon for us.

»Decision support analysis

A system of currency market signals is also very important because it will help us to make our subsequent decisions.
We cannot forget that, to carry out any type of operation in this market, previously, we must meditate well and know the exact moment when we will know that our investments are going to bring us profits .
Therefore, all the information provided by these alerts will be a fantastic basis for future operations that we are going to carry out.

»Trading Signals made by professionals

Finally, we have to recall the idea that these signals are made by the best professionals. Financial experts who know perfectly how to analyze the movements that occur in the market and changes in prices.
Hence the importance of alerts, since they are very reliable and are presented as a necessary tool to operate in Forex and that our operations are as profitable as possible.

What should a signal provider be like?

https://preview.redd.it/j0ne51jypny51.png?width=640&format=png&auto=webp&s=5578ff4c42bd63d5b6950fc6401a5be94b97aa7f
As you have seen, Forex signal systems are really important for our operations to bring us many benefits. For this reason, at present, there are multiple platforms that offer us these financial services so that investing in currencies is very simple and fast.
Before telling you about the main services that we currently have available in the market, it is recommended that you know what are the main characteristics that a good signal provider should have, so that, at the time of your choice, you are clear that you have selected one of the best systems.

»Must send us information on the main currency pairs

In this sense, one of the first things we have to comment on is that a good signal provider, at a minimum, must send us alerts that offer us information about the 6 main currencies, in this case, we refer to the euro, dollar, The pound, the yen, the Swiss franc, and the Canadian dollar.
Of course, the data you provide us will be related to the pairs that make up all these currencies. Although we can also find systems that offer us information about other minorities, but as we have said, at a minimum, we must know these 6.

»Trading tools to operate better

Likewise, signal providers must also provide us with a large number of tools so that we can learn more about the Forex market.
We refer, for example, to technical analysis above all, which will help us to develop our own strategies to be able to operate in this market.
These analyzes are always prepared by professionals and study, mainly, the assets that we have available to invest.

»Different Forex signals reception channels

They must also make available to us different ways through which they will send us the Forex signals, the usual thing is that we can acquire them through the platform's website, or by a text message and even through our email.
In addition, it is recommended that the signal system we choose sends us a large number of alerts throughout the day, in order to have a wide range of possibilities.

»Free account and customer service

Other aspects that we must take into account to choose a good signal provider is whether we have the option of receiving, for a limited time, alerts for free or the profitability of the signals they emit to us.
Similarly, a final aspect that we must emphasize is that a good signal system must also have excellent customer service, which is available to us 24 hours a day and that we can contact them at through an email, a phone number, or a live chat, for greater immediacy.
Well, having said all this, in our last section we are going to tell you which are the best services currently on the market. That is, the most suitable Forex signal platforms to be able to work with them and carry out good operations. In this case, we will talk about ForexPro Signals, 365 Signals and Binary Signals.

Forex Signals Reddit: conclusion

To be able to invest properly in the Forex market, it is convenient that we get a signal system that provides us with all the necessary information about this market. It must be remembered that Forex is a very volatile market and therefore, many movements tend to occur quickly.
Asset prices can change in a matter of seconds, hence the importance of having a system that helps us analyze the market and thus know, what is the right time for us to start operating.
Therefore, although there are currently many signal systems that can offer us good services, the three that we have mentioned above are the ones that are best valued by users, which is why they are the best signal providers that we can choose to carry out. our investments.
Most of these alerts are quite profitable and in addition, these systems usually emit a large number of signals per day with full guarantees. For all this, SignalsForexPro, Signals365, or SignalsBinary are presented as fundamental tools so that we can obtain a greater number of benefits when we carry out our operations in the currency market.
submitted by kayakero to makemoneyforexreddit [link] [comments]

When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
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Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

Rules for Trading Forex

Forex markets can be volatile and uncertain at the best of times, and inexperienced traders can easily end up chasing their losses. Yet it is precisely this volatility that gives you the potential for major profits. These 10 rules of forex trading may give you the best chance of landing on the winning side. Please remember, however, that trading carries a high level of risk to your capital, and profit is not guaranteed. Over 95% of all new individuals lose all their capital in the first month of trading forex

1. Avoid forex trading software that claims to guarantee returns

While you’re on the hunt for forex trading software, be sure that you’re not taken in by promises of guaranteed returns. There is no forex trading software that can assure you of winning trades. If there was, why would anyone sell it?

2. Always use a demo trading account

We’ve all heard that practice makes perfect, and it’s true. A demo trading account can help you improve your trading skills with virtual trades in real markets. Once you’re skilled at demo trading, you can switch over to real-money forex trading. And even once you’re using a live account, you may still want to use your demo account to try out new forex trading strategies. Of course, you should always remember that your performance on a demo account may not be replicated in a live trading account.

3. Forex trading can be highly stressful – avoid emotional trading

Whenever real money is changing hands, the risk of loss is ever-present. Therefore you should base your trades on considered tactics and strategies. To avoid being led by your emotions stay focused on technical and fundamental factors and market news at all times.

4. Invest in a solid forex education

Knowledge is power – we all know that. Ensure that your forex provider gives you access to tutorials, webinars, expert financial analysis and commentary, an economic calendar, graphs and charts, and even forex trading signals. All of these tools will work to improve your trading performance. The ultimate goal is to generate greater profits than losses over time, even if you have less winning trades than losing trades.

5. You can learn to trade forex successfully

No forex trading system guarantees success (see rule 1) but some may be used as reliable guides. If you learn from the experience of successful forex strategists, your likelihood of success is far greater. But remember, when judging the results of any system or any expert, that past performance is not a reliable indicator of future results.

6. Manage your forex capital wisely

The forex markets can change on a dime, as currency markets are often characterized by high volatility. If you have generated winning trades, be sure to manage your profits. Use stop-loss and limit orders, closeout positions, and hedge your exposure to the best of your ability. Be sure that you are in control of your capital at all times.

7. Manage your investment-per-trade wisely

This is one of the most crucial aspects of forex trading. Many traders fail to heed this important advice: Don't trade more than one currency at a time. Doing so puts you at a significant risk of loss. If you spread your investments over a wide number of trades, you limit your overall losses by not putting all your proverbial eggs into one basket!

8. Use common sense

If you know you’re trading a strong currency against a weak currency, chances are the strong currency will dominate. We are going through a period now where USD is a strong global currency. With a Fed rate hike looming, you may want to back USD against emerging-market currencies. Use your common sense when judging the effect of current and upcoming events.

9. Ensure you use risk protection strategies at all times

Risk protection varies from one trader to the next. However, you can limit your risk by managing your capital wisely, limiting the amount you trade per position, using forex trading signals, trading with greater knowledge, hedging your trades, and using specific technical strategies. Your key risk protection tool is always your stop-loss order. Remember, however, that stop-losses are not guaranteed and you can lose more than your initial deposit.

10. Be especially cautious about overextending yourself with leverage

Leverage allows you to increase the size of trade you can control with your investment capital. It magnifies your profits but it can also magnify your losses. Be sure to limit the leverage you use so you don’t get into serious financial trouble.

The bottom line

By following these 10 golden rules to forex trading, you should find yourself in a much better position over the long term. Your focus should always be on trading currency pairs that you understand, in a way that does not expose you to too much risk. Read up about market conditions likely to impact upon the currencies you’re trading, limit your leverage to an affordable amount, and use a demo trading account to understand the market dynamics.
submitted by ShelSingh to u/ShelSingh [link] [comments]

Rules for Trading Forex

Rules for Trading Forex

Forex markets can be volatile and uncertain at the best of times, and inexperienced traders can easily end up chasing their losses. Yet it is precisely this volatility that gives you the potential for major profits. These 10 rules of forex trading may give you the best chance of landing on the winning side. Please remember, however, that trading carries a high level of risk to your capital, and profit is not guaranteed. Over 95% of all new individuals lose all their capital in the first month of trading forex
  1. Avoid forex trading software that claims to guarantee returns
While you’re on the hunt for forex trading software, be sure that you’re not taken in by promises of guaranteed returns. There is no forex trading software that can assure you of winning trades. If there was, why would anyone sell it?
  1. Always use a demo trading account
We’ve all heard that practice makes perfect, and it’s true. A demo trading account can help you improve your trading skills with virtual trades in real markets. Once you’re skilled at demo trading, you can switch over to real-money forex trading. And even once you’re using a live account, you may still want to use your demo account to try out new forex trading strategies. Of course, you should always remember that your performance on a demo account may not be replicated in a live trading account.
  1. Forex trading can be highly stressful – avoid emotional trading
Whenever real money is changing hands, the risk of loss is ever-present. Therefore you should base your trades on considered tactics and strategies. To avoid being led by your emotions stay focused on technical and fundamental factors and market news at all times.
  1. Invest in a solid forex education
Knowledge is power – we all know that. Ensure that your forex provider gives you access to tutorials, webinars, expert financial analysis and commentary, an economic calendar, graphs and charts, and even forex trading signals. All of these tools will work to improve your trading performance. The ultimate goal is to generate greater profits than losses over time, even if you have less winning trades than losing trades.
  1. You can learn to trade forex successfully
No forex trading system guarantees success (see rule 1) but some may be used as reliable guides. If you learn from the experience of successful forex strategists, your likelihood of success is far greater. But remember, when judging the results of any system or any expert, that past performance is not a reliable indicator of future results.
  1. Manage your forex capital wisely
The forex markets can change on a dime, as currency markets are often characterized by high volatility. If you have generated winning trades, be sure to manage your profits. Use stop-loss and limit orders, closeout positions, and hedge your exposure to the best of your ability. Be sure that you are in control of your capital at all times.
  1. Manage your investment-per-trade wisely
This is one of the most crucial aspects of forex trading. Many traders fail to heed this important advice: Don't trade more than one currency at a time. Doing so puts you at a significant risk of loss. If you spread your investments over a wide number of trades, you limit your overall losses by not putting all your proverbial eggs into one basket!
  1. Use common sense
If you know you’re trading a strong currency against a weak currency, chances are the strong currency will dominate. We are going through a period now where USD is a strong global currency. With a Fed rate hike looming, you may want to back USD against emerging-market currencies. Use your common sense when judging the effect of current and upcoming events.
  1. Ensure you use risk protection strategies at all times
Risk protection varies from one trader to the next. However, you can limit your risk by managing your capital wisely, limiting the amount you trade per position, using forex trading signals, trading with greater knowledge, hedging your trades, and using specific technical strategies. Your key risk protection tool is always your stop-loss order. Remember, however, that stop-losses are not guaranteed and you can lose more than your initial deposit.
  1. Be especially cautious about overextending yourself with leverage
Leverage allows you to increase the size of trade you can control with your investment capital. It magnifies your profits but it can also magnify your losses. Be sure to limit the leverage you use so you don’t get into serious financial trouble.
The bottom line
By following these 10 golden rules to forex trading, you should find yourself in a much better position over the long term. Your focus should always be on trading currency pairs that you understand, in a way that does not expose you to too much risk. Read up about market conditions likely to impact upon the currencies you’re trading, limit your leverage to an affordable amount, and use a demo trading account to understand the market dynamics.
submitted by ShelSingh to FxKings [link] [comments]

Get ready for the trading week of February 25th, 2019!

Hey what's happening wallstreetbets! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market last week, and are ready for the new trading week ahead! :)
Here is everything you need to know to get you ready for the trading week beginning February 25th, 2019.

Next week will be pivotal for markets with trade deadline, Powell, Trump-Kim and more - (Source)

The coming week could be one of the most pivotal for the Trump White House and the markets, depending on how President Donald Trump chooses to proceed with China trade tariffs.
U.S.-China trade talks apparently have been making progress, and in a positive sign, sources said a possible meeting between Trump and Chinese President Xi Jinping is being discussed for late March. Strategists expect some eventual deal to be reached, but first and foremost, the March 2 deadline on new tariffs looms at the end of the week. For now, it looks like the deadline could be extended.
Trump, in fact, Friday reiterated that he could extend the deadline if progress is being made. He also said there was a very good chance a deal could be reached with China, and that he and Xi would make the big decisions.
The week is packed with major events that could be market moving, including two days of economic testimony from Federal Reserve Chairman Jerome Powell. He appears before the Senate Banking Committee on Tuesday, and then a House committee Wednesday for the semiannual testimony.
Trump also heads to Vietnam for a summit with North Korean leader Kim Jong Un on Wednesday and Thursday, and U.K. Prime Minister Theresa May faces another Brexit vote in parliament.
The markets are also closely watching U.S. economic data after a string of misses on manufacturing and consumer data rattled stocks in the past couple of weeks. The lack of government data during the 35-day government shutdown has made it more difficult than usual to get a handle on the economy, and some economists now see fourth-quarter and first-quarter growth running at just 2 percent or below. Fourth-quarter GDP, delayed because of the shutdown, is finally released on Thursday.

Earnings

Though earnings season is winding down, quite a few earnings releases are expected, including from retailers Home Depot, Macy'sand Nordstrom.
"To me, the biggest story next week for markets is China. Do they announce an agreement or do they at least extend the deadline? That's the one that has the most immediate market impact. The markets are pricing in good news on China next week," said Tom Block, Washington policy strategist at Fundstrat.
There were some news reports that Special Counsel Robert Mueller's report on the Trump campaign and Russia would be provided to the attorney general next week, but a Justice Department official Friday afternoon said that was not true.Whether the Trump campaign was involved with Russia or not matters much less than whether the president himself was involved.
"This is of course great for American political drama but as for the $4.3 trillion foreign exchange market or what does this mean for the value of corporate America, it's not a big deal unless there's a smoking gun, and people think Trump is going to get impeached," said Marc Chandler, chief market strategist at Bannockburn Global Forex. "Why this is important is it might paralyze other policy. … The only way it is a really big factor is if it's used as fodder to pursue further investigations that paralyze the administration like Watergate did."
Chandler said while the geopolitical events in the coming week could add to tension, they could all remain unresolved.
"We want some closure. Next week is not going to bring some closure. We're going to get extensions," said Chandler.
The uncertainty around China trade has been impacting the economic data, and business leaders have called on the White House to end the tariffs on China. The farm belt has been hurt as China retaliated against U.S. products.
Cowen analysts said the talks are nearing a "term sheet" between Chinese and U.S. trade negotiators. The memorandums are expected to touch on a half-dozen key areas, including forced technology transfers and cybertheft; intellectual property rights; opening up of Chinese financial services to U.S. companies; currency; agriculture, and nontariff barriers to trade. Those barriers include industrial subsidies, licensing procedures and other regulations.
The talks are also expected to focus on a list of 10 goods and commodities that China will buy to help narrow the trade balance. That could include an additional $30 billion per year of U.S. farm products including soybeans, corn, and wheat, the Cowen analysts said.
Fundstrat's Block said the president understands the political impact of continuing tariffs or raising them to 25 percent by March 2, as he has threatened.

Trade deadline, North Korea, Brexit

Trump has said the deadline could be extended. "The road to 270 electoral votes for Trump goes through the farm states of the Midwest. There's no road map for Trump to get 270 electoral votes if he doesn't carry all those Midwestern farm states," Block said. "China is very big for lots of reasons. …Trump's people have to figure out, at a minimum, how to extend the truce. … The biggest threat to those states is continued trade war with China focused on agricultural products exported from the U.S."
Besides China and trade and the Mueller report, Trump plans to meet North Korean leader Kim Jong Un in Vietnam in the week ahead, and Trump has said it is not to be his last meeting with Kim. The U.S. and North Korea are expected to seek a common understanding of what is expected in denuclearization, and Trump is expected to push Kim to give up his nuclear ambitions.
Block said it's unclear what will come of those talks. "Trump overstates what he does, but the world is a little safer with us talking with North Korea rather than saber rattling with North Korea. That seems to be Trump's approach. Regardless of what his thought process is, the net result is better than not doing it," said Block.
Investors are also looking to Europe where the U.K. Parliament votes on a no-deal Brexit, which critics say would disrupt trade and commerce .
Prime Minister Theresa May continues to push for Britain's exit from the European Union on March 29. On Wednesday, there will be a vote on an amendment that would give the House of Commons the power to block a no-exit deal if May has not secured the approval by Parliament for a revised Brexit deal by the middle of March.
"They're trying to force her to give up the no deal exit. The EU is expecting a request for a 60-day extension," said Chandler.

Economic data

As for U.S. data, reports on personal income and spending are coming on Friday and fourth-quarter GDP on Thursday. December's disappointing durable goods data showed slower business spending, so analysts are watching closely to see whether there was any improvement in consumer spending.
"The U.S. growth slowdown is seen intensifying in the first quarter too. We forecast U.S. GDP growth at a modest 1.5% annual rate in Q1. Slowing global manufacturing activity, tighter financial conditions, sluggish business equipment spending, and lackluster federal government spending (due in part to the government shutdown in January) are all contributing to the weakest quarter for U.S. growth in two years," wrote Scott Anderson, chief economist at Bank of the West.
Anderson expects fourth-quarter growth at 2.2 percent. He also said if uncertainties in the U.S. around China trade talks and the Brexit negotiations go away, there is a good chance U.S. economic growth will bounce back in the second quarter.
"I should note this is our base case forecast, as none of the parties involved in the negotiations want to see the worst case outcomes realized. If for some reason either of the negotiations go seriously off-track, however, the 2019 U.S. and global economic outlook will become considerably bleaker," he wrote.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR CHART LINK #1!)
(CLICK HERE FOR CHART LINK #2!)
(CLICK HERE FOR CHART LINK #3!)

Pre-Election Year March: Small-Caps Perfect 10 for 10

Turbulent March markets tend to drive prices up early in the month and batter stocks at month end. Julius Caesar failed to heed the famous warning to “beware the Ides of March” but investors have been served well when they have. Stock prices have a propensity to decline, sometimes rather precipitously, during the latter days of the month. In March 2001, DJIA plunged 1469 points (-11.8%) from March 9 to the 22.
Normally a decent performing market month, March performs even better in pre-election years (see Vital Statistics table below). In pre-election years March ranks: 4th best for DJIA, S&P 500, NASDAQ and Russell 1000 (January, April and December are better). Pre-election year March rank #3 for Russell 2000. Pre-election year March has been up 13 out of the last 14 for DJIA. In fact, since inception in 1979, the Russell 2000 has a perfect, 10-for-10 winning record.
(CLICK HERE FOR THE CHART!)

When Is Overbought Bullish?

What more can we say about the amazing rebound of the stock market since December 24? For the first time since 1997, the S&P 500 Index is up more than 10% for the year through this point in February. Of course, it was the worst December for stocks since the Great Depression—making a larger bounce possible—but the rebound over the past two months has been historic.
That begs the question: What does it mean when stocks are overbought on many short-term levels? “Yes, stocks are quite extended near -term,” explained LPL Senior Market Strategist Ryan Detrick, “but historically, extended markets have tended to deliver continued outperformance over the next several months.”
We can see this by looking at the number of stocks in the S&P 500 that are above their 50-day moving average and the subsequent performance of the index. That number recently cleared 90%, which was one of the highest readings ever. And after 90% of stocks in the S&P 500 go above their 50-day moving average, their 1-, 3-, and 6-month returns actually have shown continued strength. In fact, as the LPL Chart of the Day shows, three months after hitting that 90% mark, the S&P 500 has been higher 12 of the previous 13 times going back to 1990.
(CLICK HERE FOR THE CHART!)
This tells us the easy part of the recent rally is over, and we do see reasons to expect some type of consolidation or well-deserved pullback at some point, but we still think the stage is potentially set for new highs later this year.

More Good News

As this week’s Weekly Market Commentary suggested, over the near term equities appear quite stretched, but overall we continue to think the bull market has plenty of life left. Today, we’ll take a look at market breadth—one of our favorite technical indicators—to explore whether it may be pointing to better times ahead for equities.
Market breadth measures how many stocks are participating in the movement of broader indexes. One of the easiest ways to measure this is via advance/decline (A/D) lines on various exchanges. An A/D line is a ratio of how many stocks go up versus down each day. The thinking is, if gains are caused by increases in many stocks, then there are plenty of buyers and the upward trend should likely continue, all else equal. On the other hand, if an upward move in a broad market gauge is driven by relatively few stocks, this can be a warning sign of cracks in the bull’s armor.
Today’s LPL Chart of the Day shows that the NYSE Common Stock Only A/D line has broken out to a new all-time high. “This is another clue to market participants that things are actually quite healthy under the surface. When advance/decline lines are breaking out to new highs, history tells us that stocks usually aren’t too far behind,” explained LPL Senior Market Strategist Ryan Detrick.
(CLICK HERE FOR THE CHART!)

Broad Based Breadth

One aspect of the rally in stocks this year that we can’t stress enough is how strong breadth has been. Besides the fact that the equal-weighted S&P 500 is outperforming the market cap weighted index by close to three percentage points YTD, the vast majority of S&P 500 Industry Groups are also either right at or very close to YTD highs. The table below lists S&P 500 Industry Groups that, along with the S&P 500, hit YTD highs so far today. Of the 60 Industry Groups, 26 hit YTD highs today and five of them are already up 20% YTD!
(CLICK HERE FOR THE CHART!)
In addition to the 26 Industry Groups above, another 16 Industry Groups traded within 1% of a YTD high today and three of those are also up over 20% YTD. Adding both lists together, 70% of S&P 500 Industry Groups either traded at or came within 1% of hitting a YTD high this morning. That’s broad!
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for February 22nd, 2019

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET UP!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 2.24.19 - Rebull Without a Pause

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $SQ
  • $HD
  • $CHK
  • $ETSY
  • $JD
  • $M
  • $MDR
  • $PCG
  • $FIT
  • $AMRN
  • $LOW
  • $JCP
  • $WTW
  • $KOS
  • $PANW
  • $BKNG
  • $ABB
  • $BBY
  • $SPLK
  • $VEEV
  • $AZO
  • $TEX
  • $TRXC
  • $SHAK
  • $NTNX
  • $ECA
  • $JT
  • $WDAY
  • $CRI
  • $DNR
  • $TNDM
  • $AWI
  • $DORM
  • $GWPH
  • $HTZ
  • $TREE
  • $PLAN
  • $NSA
  • $ICPT
  • $FLXN
  • $BNS
  • $CROX
  • $RRC
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 2.25.19 Before Market Open:

(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Monday 2.25.19 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Tuesday 2.26.19 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 2.26.19 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Wednesday 2.27.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 2.27.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 2.28.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 2.28.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Friday 3.1.19 Before Market Open:

(CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Friday 3.1.19 After Market Close:

(CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)
NONE.

Square, Inc. $76.08

Square, Inc. (SQ) is confirmed to report earnings at approximately 4:05 PM ET on Wednesday, February 27, 2019. The consensus earnings estimate is $0.13 per share on revenue of $908.21 million and the Earnings Whisper ® number is $0.16 per share. Investor sentiment going into the company's earnings release has 80% expecting an earnings beat The company's guidance was for earnings of $0.12 to $0.13 per share on revenue of $895.00 million to $905.00 million. Consensus estimates are for year-over-year earnings growth of 62.50% with revenue increasing by 47.43%. Short interest has increased by 8.9% since the company's last earnings release while the stock has drifted lower by 4.2% from its open following the earnings release to be 8.3% above its 200 day moving average of $70.25. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, February 13, 2019 there was some notable buying of 5,812 contracts of the $75.00 put and 5,392 contracts of the $75.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 8.4% move on earnings and the stock has averaged a 4.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Home Depot, Inc. $192.39

Home Depot, Inc. (HD) is confirmed to report earnings at approximately 6:00 AM ET on Tuesday, February 26, 2019. The consensus earnings estimate is $2.16 per share on revenue of $26.56 billion and the Earnings Whisper ® number is $2.21 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 27.81% with revenue increasing by 11.21%. Short interest has decreased by 13.1% since the company's last earnings release while the stock has drifted higher by 8.5% from its open following the earnings release to be 2.2% above its 200 day moving average of $188.29. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, February 12, 2019 there was some notable buying of 11,051 contracts of the $165.00 put expiring on Friday, March 15, 2019. Option traders are pricing in a 3.6% move on earnings and the stock has averaged a 1.1% move in recent quarters.

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Chesapeake Energy Corp. $2.60

Chesapeake Energy Corp. (CHK) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, February 27, 2019. The consensus earnings estimate is $0.17 per share on revenue of $1.04 billion and the Earnings Whisper ® number is $0.20 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 43.33% with revenue decreasing by 58.71%. Short interest has increased by 117.9% since the company's last earnings release while the stock has drifted lower by 22.2% from its open following the earnings release to be 33.4% below its 200 day moving average of $3.91. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, January 11, 2019 there was some notable buying of 5,346 contracts of the $7.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 14.4% move on earnings and the stock has averaged a 8.6% move in recent quarters.

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Etsy, Inc. $56.67

Etsy, Inc. (ETSY) is confirmed to report earnings at approximately 4:05 PM ET on Monday, February 25, 2019. The consensus earnings estimate is $0.26 per share on revenue of $194.88 million and the Earnings Whisper ® number is $0.28 per share. Investor sentiment going into the company's earnings release has 75% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 73.33% with revenue increasing by 43.01%. Short interest has increased by 2.6% since the company's last earnings release while the stock has drifted higher by 22.6% from its open following the earnings release to be 25.1% above its 200 day moving average of $45.29. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, February 5, 2019 there was some notable buying of 2,590 contracts of the $55.00 put expiring on Friday, March 15, 2019. Option traders are pricing in a 11.6% move on earnings and the stock has averaged a 10.9% move in recent quarters.

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JD.com, Inc. $25.95

JD.com, Inc. (JD) is confirmed to report earnings at approximately 5:25 AM ET on Thursday, February 28, 2019. The consensus estimate is for a loss of $0.04 per share on revenue of $19.15 billion and the Earnings Whisper ® number is ($0.02) per share. Investor sentiment going into the company's earnings release has 60% expecting an earnings beat. Consensus estiamtes are for year-over-year revenue growth of 13.10%. Short interest has increased by 25.4% since the company's last earnings release while the stock has drifted higher by 15.6% from its open following the earnings release to be 9.9% below its 200 day moving average of $28.80. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, February 15, 2019 there was some notable buying of 17,853 contracts of the $30.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 7.9% move on earnings and the stock has averaged a 4.4% move in recent quarters.

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Macy's, Inc. $24.06

Macy's, Inc. (M) is confirmed to report earnings at approximately 8:00 AM ET on Tuesday, February 26, 2019. The consensus earnings estimate is $2.65 per share on revenue of $8.46 billion and the Earnings Whisper ® number is $2.60 per share. Investor sentiment going into the company's earnings release has 28% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 6.03% with revenue decreasing by 2.38%. Short interest has decreased by 12.4% since the company's last earnings release while the stock has drifted lower by 31.6% from its open following the earnings release to be 28.4% below its 200 day moving average of $33.59. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, February 22, 2019 there was some notable buying of 3,804 contracts of the $24.50 call expiring on Friday, March 1, 2019. Option traders are pricing in a 10.0% move on earnings and the stock has averaged a 9.8% move in recent quarters.

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McDermott International Inc. $7.74

McDermott International Inc. (MDR) is confirmed to report earnings at approximately 7:30 AM ET on Monday, February 25, 2019. The consensus earnings estimate is $0.21 per share on revenue of $2.70 billion and the Earnings Whisper ® number is $0.18 per share. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 110.00% with revenue increasing by 275.99%. Short interest has increased by 9.7% since the company's last earnings release while the stock has drifted lower by 15.0% from its open following the earnings release to be 48.2% below its 200 day moving average of $14.94. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, February 20, 2019 there was some notable buying of 22,689 contracts of the $8.00 call expiring on Friday, May 17, 2019. Option traders are pricing in a 17.4% move on earnings and the stock has averaged a 25.9% move in recent quarters.

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PG&E Corp. $18.77

PG&E Corp. (PCG) is confirmed to report earnings at approximately 8:45 AM ET on Thursday, February 28, 2019. The consensus earnings estimate is $0.62 per share on revenue of $4.29 billion. Investor sentiment going into the company's earnings release has 18% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 1.59% with revenue increasing by 4.63%. Short interest has increased by 122.1% since the company's last earnings release while the stock has drifted lower by 60.9% from its open following the earnings release to be 47.6% below its 200 day moving average of $35.85. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, January 24, 2019 there was some notable buying of 10,702 contracts of the $20.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 11.5% move on earnings and the stock has averaged a 2.1% move in recent quarters.

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Fitbit, Inc. $6.70

Fitbit, Inc. (FIT) is confirmed to report earnings at approximately 4:05 PM ET on Wednesday, February 27, 2019. The consensus earnings estimate is $0.07 per share on revenue of $567.68 million and the Earnings Whisper ® number is $0.08 per share. Investor sentiment going into the company's earnings release has 80% expecting an earnings beat The company's guidance was for earnings of at least $0.07 per share on revenue of at least $560.00 million. Consensus estimates are for year-over-year earnings growth of 200.00% with revenue decreasing by 0.54%. Short interest has decreased by 27.1% since the company's last earnings release while the stock has drifted higher by 22.3% from its open following the earnings release to be 9.2% above its 200 day moving average of $6.13. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, February 5, 2019 there was some notable buying of 6,274 contracts of the $6.50 call expiring on Friday, March 1, 2019. Option traders are pricing in a 14.7% move on earnings and the stock has averaged a 13.0% move in recent quarters.

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Amarin Corporation plc $19.87

Amarin Corporation plc (AMRN) is confirmed to report earnings at approximately 5:00 AM ET on Wednesday, February 27, 2019. The consensus estimate is for a loss of $0.08 per share on revenue of $74.45 million and the Earnings Whisper ® number is ($0.08) per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 0.00% with revenue increasing by 38.21%. Short interest has increased by 15.4% since the company's last earnings release while the stock has drifted lower by 4.8% from its open following the earnings release to be 89.6% above its 200 day moving average of $10.48. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, February 22, 2019 there was some notable buying of 35,406 contracts of the $20.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 17.3% move on earnings and the stock has averaged a 4.6% move in recent quarters.

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DISCUSS!

What are you all watching for in this upcoming trading week ahead?
Have a fantastic weekend and a great trading week ahead to everyone here on wallstreetbets! :)
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Volatility mq4 – indicator for MetaTrader 4 Volatility Index Technical Analysis Auto Bot Using a Forex Volatility Indicator: Best Trading Strategies  ForexTips FX Technical Analysis - YouTube 3 Indicators to Measure Market Volatility 📈 - YouTube

Technical indicators are chart analysis tools that can help traders better understand and act on price movement. There is a huge range of technical analysis tools available that analyze trends ... In the centre of every modern forex trading platform or charting application is a price chart which shows candlestick patterns typically. These candlesticks represent previous prices of a currency pair. Traders use technical analysis indicators to observe how the market previously behaved and try to predict how it could move in the future. Some techniques prove to be incredibly effective at ... Volatility indicators are technical indicators. That means they aggregate the data of past market movements, apply a formula, and display the result in a way that allows traders to quickly and simply understand what is going and what will happen next. Technical indicators focus solely on price action. That means they ignore all fundamental information about the underlying asset, for examples ... Volatility-based indicators are valuable technical analysis tools that look at changes in market prices over a specified period of time. The faster prices change, the higher the volatility. The slower prices change, the lower the volatility. It can be measured and calculated based on historical prices and can be used for trend identification. It also typically signals if a market is overbought ... Some forex trading strategies include splitting one position into several smaller ones, adding to already open positions or averaging. When opening several positions, it is not very […] Posted in FOREX TECHNICAL ANALYSIS, FOREX BASICS, FOREX INDICATORS; Forex Indicators: 3 moving averages for all timeframes. Volatility-based indicators are valuable technical analysis tools that look at changes in market prices over a specified period of time. The faster prices change, the higher the volatility. The slower prices change, the lower the volatility. It can be measured and calculated based on historical prices and can be used for trend identification. It also typically signals if a market is overbought ... Volatility Technical Analysis. Average True Range - The Average True Range (ATR) indicator was developed by J. Welles Wilder to measure a security's volatility. The ATR indicator does not reflect price direction and is not used to predict price. However, this indicator is widely used in technical analysis to measure the degree of price movement or price volatility.

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Volatility mq4 – indicator for MetaTrader 4

In this video 9-year forex trader, Jose Tormos, shows you how to use volatility indicators in your forex trading analysis with the help of GBP/JPY on 4 different time frames to help you determine ... How to Measure Market Volatility. http://www.financial-spread-betting.com/course/technical-analysis.html PLEASE LIKE AND SHARE THIS VIDEO SO WE CAN DO MORE! ... ForexMT4Indicators.com are a compilation of free download of forex strategies, forex systems, forex mt4 indicators, forex mt5 indicators, technical analysis and fundamental analysis in forex trading. Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. Trade any volatility Index market with this bot! programmed to find best entries using technical indicators! With 85% win rate if you run the bot while following the market chart trend {1minute ... Volatility measures the size and frequency of changes in the price of a security, and hence shows how much risky trading in that security is. Viewers of this video will have the chance to take a ...

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