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So there seems to be a lot of new people on this sub. And makes sense if you have questions a lot of time you'll turn to reddit for the answers (I know I do). Well here are some tips that I think would benefit new traders.
Don't trade ANY Euro pairs. Look I know it's the most traded pair it goes up and down really fast and there's so much potential for you to make money. Turns out there's even more for you to lose money. It's way too volatile specially if you don't know what you're doing. EUUSD is the worst offender.
Trade the Daily. Might think you're cool looking at charts every x amount of times during the day. You get to tell your friends and family that you trade all day and they might be impressed at what you're doing but unless you have some years under you stick to the daily. There's less noise. You can see clearer trends and when you don't stare at the screen all day you're less emotional therefore a more effective trader. I only look at the chart 15 minutes a day to either enter close or manage my trades. Whatever happens when I'm gone is what happens.
There is no holy grail indicator Look for it all you want. It doesn't exist. There are good indicators. There are bad indicators. There are some indicators that are so broken if you do the opposite of what they're intended for you'll actually make a profit. But the fact remains that there's no perfect one. Stop looking. What you should be looking for is an indicator that fits with your strategy.
What currencies to pick. I actually never see this brought up. The notion in forex is that all pairs can be traded equally. To a certain extent that's not false. But until you get the hang of it stick to a strict trading diet. Look for pairs that trend a lot. Duh look for the trend I can hear you say. When I say trend I don't mean a couple of days or weeks. I mean a couple of months. Half a year. Pairs that do that have a higher tendency to stick with one direction for a while. That's where you make your money. An easy way to identify those pairs as well is putting together a volatile currency (USD) with a less volatile one(JPY).
USE YOUR SL Trust me even if not putting a SL has netted you all kinds of gains eventually the market will turn around and bite you. With no safety net you'll lose most if not all your profit. The best offense is a good defense.
How to pick your TP and SL level. Most new traders care so much about that. I put it near the bottom because in my opinion you should know everything listed first. This is my opinion and I use it for my strategy I use the ATR(average true range) indicator. It's a really helpful tool that helps you identify the range at which the candles will either rise or fall. Obviously you want to set your TP inside of that range and your SL slightly outside of it.
Lot sizes. Everyone has a different story about how they pick their lot size. The general consensus is don't risk over 2% of your account. But I'm a simple man and I can't be bothered to figure out what my risk is every single time. So what I do is I put $0.10 for every $100 I have on the account. I then assign $300(minimum) to each pair. That's $0.30 per pair. It's easy to remember. 10 cent for every $100. If you're able to blow $100 with $0.10 then you probably shouldn't trade.
How to avoid reversals. Tbh you can't. There's no way to predict the future so eventually you'll get hit by one. What you can do however is minimize the blow. How I do it is for every pair I take two trades. If you remember in the previous tip is said I do about$0.30 per pair well I divide it 2:1. I take one trade with a TP(2) and one without (1). If my TP is hit I pocket that amount and if the trend keeps going in my direction I make even more. If the trend decides to end or reverses my losses are minimal because at least I kept half.
There is NO right way to trade. Stop listening to people telling the best way to trade is fundamentals or naked charts of to use some specific indicator. There are no right way to do this. It's as flexible and unlimited as your imagination. I personally use indicators but if that's not your thing do YOU! Just remember to manage your trades properly and be level headed when trading. Hell if your trading strategy is flipping a coin with proper trade management you'd probably make some money (don't quote me on that).
Trade money you're willing to lose Don't trade your rent money.
That's all I have for now. If anyone sees this and wants to add more feel free. Hope this helps someone.
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
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.
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.
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 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.
So I found a strategy I like and added some stuff to it. It is a simple pullback trading strategy using break and retest. I have my risk management planned out and how I'm going to manage active trades and trail my stop. I'm going to be trading the daily chart. My problem is, I feel like I should learn some more stuff before I start. I want to start backtesting but I don't know if I should read some books first and learn some more stuff. Will this help me or should I just go on and start backtesting? Some books I think might be helpful: Naked Forex, The Art And Science Of Technical Analysis, The Candlestick Trading bible, and Attacking Currency Trends. Any other book suggestions? Should I just skip the reading and jump right in? Thanks.
This thread is the direct continuation of my previous entry, which you can find here. I have the feeling my rambles may be long, so I'm not going to repeat anything I already said in my previous post for the sake of keeping this brief. What is this? I am backtesting the strategy shared by ParallaxFx. I have just completed my second run of testing, and I am here to share my results with those who are interested. If you want to read more about the strategy, go to my previous thread where I linked it. What changed? Instead of using a fixed target of the -100.0 Fibonacci extension, I tracked both the -61.8 and the -100.0 targets. ParallaxFx used the -61.8 as a target, but never tried the second one, so I wanted to compare the two and see what happens. Where can I see your backtested result? I am going to do something I hope I won't regret and share the link to my spreadsheet. Hopefully I won't be doxxed, but I think I should be fine. You can find my spreadsheet at this link. There are a lot of entries, so it may take a while for them to load. In the "Trades" tab, you will find every trade I backtested with an attached screenshot and the results it would have had with the extended and the unextended target. You can see the UNCOMPOUNDED equity curve in the Summary tab, together with the overall statistics for the system. What was the sample size? I backtested on the Daily chart, from January 2017 to December 2019, over 28 currency pairs. I took a total of 310 trades - although keep in mind that every position is most often composed by two entries, meaning that you can roughly halve this number. What is the bottom line? If you're not interested in the details, here are the stats of the strategy based on how I traded it.
Extended: 223.46 R of return, 2.34 of profit factor, 0.72 R of expected value, 46.13% winrate. The average win is 2.72 R while the average loss is -1.00 R.
Unextended: 172.20 R of return, 2.19 of profit factor, 0.56 R of expected value, 53.23% winrate. The average win is 1.92 R while the average loss is -1.00 R.
The highest drawdown for both systems was 18 R. This seems like a lot, but remember you're splitting risk in half.
Here you can see the two uncompounded equity curves side by side: red is unextended and blue is extended. Who wins? The test suggests the strategy to be more profitable with the extended target. In addition, most of the trades that reached the unextended target but reversed before reaching the extended, were trades that I would have most likely not have taken with the extented target. This is because there was a resistance/support area in the way of the -100.0 extension level, but there was enough room for price to reach the -61.8 level. I will probably trade this strategy using the -100.0 level as target, unless there is an area in the way. In that case I will go for the unextended target. Drawdown management The expected losing streak for this system, using the extended target, is 7 trades in a row in a sample size of 100 trades. My goal is to have a drawdown cap of 4%, so my risk per trade will be 0.54%. If I ever find myself in a losing streak of more than 8 trades, I will reduce my risk per trade further. What's next? I'll be taking this strategy live. The wisest move would be to repeat the same testing over lower timeframes to verify the edge plays out there as well, but I would not be able to trust my results because I would have vague memories of where price went because of the testing I just did. I also believe markets are fractals, so I see no reason why this wouldn't work on lower timeframes. Before going live, I will expand this spreadsheet to include more specific analysis and I will continue backtesting at a slower pace. The goal is to reach 20 years of backtesting over these 28 pairs and put everything into this spreadsheet. It's not something I will do overnight, but I'll probably do one year every odd day, and maybe a couple more during the weekend. I think I don't have much else to add. I like the strategy. Feel free to ask questions.
Real quick before I get into my next steps of my FX Journey, id like to say thank you to all the people who commented on my last post! All of the tips I got were really eye-opening and introduced me to different parts of FX trading that I didn't even know existed. So thank you so much, and I hope to get more interesting feedback from you guys in the future! Also Im going to probably change my writing frequency from daily to biweekly. I think writing about every little trade is not going to be as beneficial to me as writing about my overall progress at certain points throughout the week. I started this trading day out by learning up on order flow. A whole bunch of you guys suggested really interesting youtubers to watch, and I started with Mr. pip's series on order flow. After I finished up watching a few of his videos, I started to tweak my trading plan so that I could get in some chart time. I changed currency pair from EUUSD to the AUD/USD, the time frame from the 4 hour to the 1 hour, and my indicators from RSI, Stochastic, 2 SMAs and ADX to ATR, RSI, and Ichimoku Kinko Hyo. I also added a little fundamental analysis in my trading plan because I think that I am being far too reliant on my indicators. I planned to check the economic calendar and determine the general trend of the currency pairs that are strongly correlated to the AUD/USD before I began my chart analysis. In addition to all of my analysis, I tried to practice using the techniques I learned in Mr. Pip's videos and analyze the order flow of the chart. Even if my analysis of order flow is wrong, as long as I am getting practice I am learning. Eventhough I planned to use today to back-test indicators and find a solid new plan, I did not have enough time. I ended up getting on my demo account really late in the day, and started to force myself to enter a trade. Destructive habits like this could lead into some massive issues when I eventually get into live trading. To combat this harmful attitude specifically, I will restrict myself to trading on certain parts of the day (for example session overlaps, news releases, and earlier in the day). Despite this mistake I still continued with my trading strategy. I calculated all the currency correlations for AUS/USD using the past weeks economic data, and set my indicators in place. After checking the overall trend of the most strongly correlated pairs (Positive: EUUSD, GPB/USD, Negative: USD/CAD, USD/JPY) I started to analyze the order flow. All the correlated currencies, except for EUUSD, indicated that the AUD/USD would fall, while my order flow analysis indicated the opposite. Seeing as though I am extremely new to order flow, I dismissed this analysis, and ended up forcing a trade on the AUD/USD going short when my indicators seemed to line up correctly. I learned from last time that I should not alter or close my trade purely based on emotion, and to just wait till the market hits my stop loss or take profit. I included a trailing stop loss of 60 pips this time, but I have no evidence to base that number range on. The trade is currently open and I am down about 30 pips. Although I am not labeling this trade as a loser yet, I can definitely see a lot of holes in my trading strategy. The most obvious mistake in my eyes right now is my use of indicators. Currently all my trades are purely based on what my indicators say, and since I do not have any back-tested data to support the credibility of my indicators, it feels a lot like strategic gambling. Another issue is that I feel far too reliant on indicators alone. I think that if I can find ways to include various types of analysis efficiently and evenly in my trading plan I will become a much more skillful and well-rounded trader. In order to combat these two issues I will begin forming various types of trading strategies this weekend and back-test them all extensively. I also plan on researching more on price action, order flow, and Naked Forex. Once again any and all feedback is welcome. I am just beginning Forex, but it had been a huge passion of mine and I don't plan on stopping anytime soon.
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.
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.
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:
I'm using the stop entry version - so I wait for the price to trade beyond the confirmation candle(in the direction of my trade) before entering. I don't have any data to support this decision, but I've always preferred this method over retracement-limit entries. Maybe I just like the feeling of a higher winrate even though there can be greater R:R using a limit entry. Variety is the spice of life.
I put my stop loss right at the opposite edge of the confirmation candle. NOT at the edge of the 2-candle pattern that makes up the system. I'll get into this more below - not enough trades are saved to justify the wider stops. (Wider stop means less $ per pip won, assuming you still only risk 1%).
All my profit/loss statistics are based on a 1% risk per trade. Because 1 is real easy to multiply.
There are definitely some questionable trades in here, but I tried to make it as mechanical as possible for evaluation purposes. They do fit the definitions of the system, which is why I included them. You could probably improve the winrate by being more discretionary about your trades by looking at support/resistance or other techniques.
I didn't use MBB much for either entering trades, or as support/resistance indicators. Again, trying to be pretty mechanical here just for data collection purposes. Plus, we all make bad trading decisions now and then, so let's call it even.
As stated in the title, this is for H1 only. These results may very well not play out for other time frames - who knows, it may not even work on H1 starting this Monday. Forex is an unpredictable place.
I collected data to show efficacy of taking profit at three different levels: -61.8%, -100% and -161.8% fib levels described in the system using the passive trade management method(set it and forget it). I'll have more below about moving up stops and taking off portions of a position.
And now for the fun. Results!
Total Trades: 241
TP at -61.8%: 177 out of 241: 73.44%
TP at -100%: 156 out of 241: 64.73%
TP at -161.8%: 121 out of 241: 50.20%
Adjusted Proft % (takes spread into account):
TP at -61.8%: 5.22%
TP at -100%: 23.55%
TP at -161.8%: 29.14%
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):
7pm-4am: Fewer setups, but winrate high.
5am-6am: Lots of setups, but but winrate low.
12pm-3pm Medium number of setups, but winrate low.
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.
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Adjusted Proft % (takes spread into account): 5.36%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Adjusted Proft % (takes spread into account): -1.01% (yes, a net loss)
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:
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Winrate(breakeven doesn't count as a win): 46.4%
Adjusted Proft % (takes spread into account): 17.97%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Winrate(breakeven doesn't count as a win): 65.97%
Adjusted Proft % (takes spread into account): 11.60%
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.
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.
Total Trades: 75
TP at -61.8%: 84.00%
TP at -100%: 73.33%
TP at -161.8%: 60.00%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 53.33%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 53.33% (yes, oddly the exact same winrate. but different trades/profits)
Adjusted Proft % (takes spread into account):
TP at -61.8%: 18.13%
TP at -100%: 26.20%
TP at -161.8%: 34.01%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 19.20%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 17.29%
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):
"System Details" I described above.
TP at -161.8%
Static SL at opposite side of confirmation candle - I won't move stops up to breakeven.
Trade only 7am-11am and 4pm-11pm signals.
Nothing where spread is more than 25% of trade width.
Looking at the data for these rules, test results are:
Adjusted Proft % (takes spread into account): 47.43%
I'll be sure to let everyone know how it goes!
Other Technical Details
ATR is only slightly elevated in this date range from historical levels, so this should fairly closely represent reality even after the COVID volatility leaves the scalpers sad and alone.
The sample size is much too small for anything really meaningful when you slice by hour or pair. I wasn't particularly looking to test a specific pair here - just the system overall as if you were going to trade it on all pairs with a reasonable spread.
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.
I'm on the East Coast in the US, so the timestamps are Eastern time.
Time stamp is from the confirmation candle, not the indecision candle. So 7am would mean the indecision candle was 6:00-6:59 and the confirmation candle is 7:00-7:59 and you'd put in your order at 8:00.
I found a couple AM/PM typos as I was reviewing the data, so let me know if a trade doesn't make sense and I'll correct it.
Insanely detailed spreadsheet notes
For you real nerds out there. Here's an explanation of what each column means:
Pair - duh
Date/Time - Eastern time, confirmation candle as stated above
Win to -61.8%? - whether the trade made it to the -61.8% TP level before it hit the original SL.
Win to -100%? - whether the trade made it to the -100% TP level before it hit the original SL.
Win to -161.8%? - whether the trade made it to the -161.8% TP level before it hit the original SL.
Retracement level between -61.8% and -100% - how deep the price retraced after hitting -61.8%, but before hitting -100%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -61.8% to -100%. Positive 100 means it hit the original SL.
Retracement level between -100% and -161.8% - how deep the price retraced after hitting -100%, but before hitting -161.8%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -100% to -161.8%. Positive 100 means it hit the original SL.
Trade Width(Pips) - the size of the confirmation candle, and thus the "width" of your trade on which to determine position size, draw fib levels, etc.
Loser saved by 2 candle stop? - for all losing trades, whether or not the 2-candle stop loss would have saved the trade and how far it ended up getting if so. "No" means it didn't save it, N/A means it wasn't a losing trade so it's not relevant.
Spread(ThinkorSwim) - these are typical spreads for these pairs on ToS.
Spread % of Width - How big is the spread compared to the trade width? Not used in any calculations, but interesting nonetheless.
True Risk(Trade Width + Spread) - I set my SL at the opposite side of the confirmation candle knowing that I'm actually exposing myself to slightly more risk because of the spread(stop order = market order when submitted, so you pay the spread). So this tells you how many pips you are actually risking despite the Trade Width. I prefer this over setting the stop inside from the edge of the candle because some pairs have a wide spread that would mess with the system overall. But also many, many of these trades retraced very nearly to the edge of the confirmation candle, before ending up nicely profitable. If you keep your risk per trade at 1%, you're talking a true risk of, at most, 1.25% (in worst-case scenarios with the spread being 25% of the trade width as I am going with above).
Win or Loss in %(1% risk) including spread TP -61.8% - not going to go into huge detail, see the spreadsheet for calculations if you want. But, in a nutshell, if the trade was a win to 61.8%, it returns a positive # based on 61.8% of the trade width, minus the spread. Otherwise, it returns the True Risk as a negative. Both normalized to the 1% risk you started with.
Win or Loss in %(1% risk) including spread TP -100% - same as the last, but 100% of Trade Width.
Win or Loss in %(1% risk) including spread TP -161.8% - same as the last, but 161.8% of Trade Width.
Win or Loss in %(1% risk) including spread TP -100%, and move SL to breakeven at 61.8% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you moved SL to 0% fib level after price hit -61.8%. Then full TP at 100%.
Win or Loss in %(1% risk) including spread take off half of position at -61.8%, move SL to breakeven, TP 100% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you took of half the position and moved SL to 0% fib level after price hit -61.8%. Then TP the remaining half at 100%.
Overall Growth(-161.8% TP, 1% Risk) - pretty straightforward. Assuming you risked 1% on each trade, what the overall growth level would be chronologically(spreadsheet is sorted by date).
Based on the reasonable rules I discovered in this backtest:
Date range: 6/11-7/3
Adjusted Proft % (takes spread into account): 47.43%
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!
Date range: 7/9-7/30
Adjusted Proft % (takes spread into account): 20.73%
Starting Balance: $5,000
Ending Balance: $6,036.51
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.
The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market
Author: Christian Hsieh, CEO of Tokenomy This paper examines some explanations for the continual global market demand for the U.S. dollar, the rise of stablecoins, and the utility and opportunities that crypto dollars can offer to both the cryptocurrency and traditional markets. The U.S. dollar, dominant in world trade since the establishment of the 1944 Bretton Woods System, is unequivocally the world’s most demanded reserve currency. Today, more than 61% of foreign bank reserves and nearly 40% of the entire world’s debt is denominated in U.S. dollars1. However, there is a massive supply and demand imbalance in the U.S. dollar market. On the supply side, central banks throughout the world have implemented more than a decade-long accommodative monetary policy since the 2008 global financial crisis. The COVID-19 pandemic further exacerbated the need for central banks to provide necessary liquidity and keep staggering economies moving. While the Federal Reserve leads the effort of “money printing” and stimulus programs, the current money supply still cannot meet the constant high demand for the U.S. dollar2. Let us review some of the reasons for this constant dollar demand from a few economic fundamentals.
Demand for U.S. Dollars
Firstly, most of the world’s trade is denominated in U.S. dollars. Chief Economist of the IMF, Gita Gopinath, has compiled data reflecting that the U.S. dollar’s share of invoicing was 4.7 times larger than America’s share of the value of imports, and 3.1 times its share of world exports3. The U.S. dollar is the dominant “invoicing currency” in most developing countries4. https://preview.redd.it/d4xalwdyz8p51.png?width=535&format=png&auto=webp&s=9f0556c6aa6b29016c9b135f3279e8337dfee2a6 https://preview.redd.it/wucg40kzz8p51.png?width=653&format=png&auto=webp&s=71257fec29b43e0fc0df1bf04363717e3b52478f This U.S. dollar preference also directly impacts the world’s debt. According to the Bank of International Settlements, there is over $67 trillion in U.S. dollar denominated debt globally, and borrowing outside of the U.S. accounted for $12.5 trillion in Q1 20205. There is an immense demand for U.S. dollars every year just to service these dollar debts. The annual U.S. dollar buying demand is easily over $1 trillion assuming the borrowing cost is at 1.5% (1 year LIBOR + 1%) per year, a conservative estimate. https://preview.redd.it/6956j6f109p51.png?width=487&format=png&auto=webp&s=ccea257a4e9524c11df25737cac961308b542b69 Secondly, since the U.S. has a much stronger economy compared to its global peers, a higher return on investments draws U.S. dollar demand from everywhere in the world, to invest in companies both in the public and private markets. The U.S. hosts the largest stock markets in the world with more than $33 trillion in public market capitalization (combined both NYSE and NASDAQ)6. For the private market, North America’s total share is well over 60% of the $6.5 trillion global assets under management across private equity, real assets, and private debt investments7. The demand for higher quality investments extends to the fixed income market as well. As countries like Japan and Switzerland currently have negative-yielding interest rates8, fixed income investors’ quest for yield in the developed economies leads them back to the U.S. debt market. As of July 2020, there are $15 trillion worth of negative-yielding debt securities globally (see chart). In comparison, the positive, low-yielding U.S. debt remains a sound fixed income strategy for conservative investors in uncertain market conditions. Source: Bloomberg Last, but not least, there are many developing economies experiencing failing monetary policies, where hyperinflation has become a real national disaster. A classic example is Venezuela, where the currency Bolivar became practically worthless as the inflation rate skyrocketed to 10,000,000% in 20199. The recent Beirut port explosion in Lebanon caused a sudden economic meltdown and compounded its already troubled financial market, where inflation has soared to over 112% year on year10. For citizens living in unstable regions such as these, the only reliable store of value is the U.S. dollar. According to the Chainalysis 2020 Geography of Cryptocurrency Report, Venezuela has become one of the most active cryptocurrency trading countries11. The demand for cryptocurrency surges as a flight to safety mentality drives Venezuelans to acquire U.S. dollars to preserve savings that they might otherwise lose. The growth for cryptocurrency activities in those regions is fueled by these desperate citizens using cryptocurrencies as rails to access the U.S. dollar, on top of acquiring actual Bitcoin or other underlying crypto assets.
The Rise of Crypto Dollars
Due to the highly volatile nature of cryptocurrencies, USD stablecoin, a crypto-powered blockchain token that pegs its value to the U.S. dollar, was introduced to provide stable dollar exposure in the crypto trading sphere. Tether is the first of its kind. Issued in 2014 on the bitcoin blockchain (Omni layer protocol), under the token symbol USDT, it attempts to provide crypto traders with a stable settlement currency while they trade in and out of various crypto assets. The reason behind the stablecoin creation was to address the inefficient and burdensome aspects of having to move fiat U.S. dollars between the legacy banking system and crypto exchanges. Because one USDT is theoretically backed by one U.S. dollar, traders can use USDT to trade and settle to fiat dollars. It was not until 2017 that the majority of traders seemed to realize Tether’s intended utility and started using it widely. As of April 2019, USDT trading volume started exceeding the trading volume of bitcoina12, and it now dominates the crypto trading sphere with over $50 billion average daily trading volume13. https://preview.redd.it/3vq7v1jg09p51.png?width=700&format=png&auto=webp&s=46f11b5f5245a8c335ccc60432873e9bad2eb1e1 An interesting aspect of USDT is that although the claimed 1:1 backing with U.S. dollar collateral is in question, and the Tether company is in reality running fractional reserves through a loose offshore corporate structure, Tether’s trading volume and adoption continues to grow rapidly14. Perhaps in comparison to fiat U.S. dollars, which is not really backed by anything, Tether still has cash equivalents in reserves and crypto traders favor its liquidity and convenience over its lack of legitimacy. For those who are concerned about Tether’s solvency, they can now purchase credit default swaps for downside protection15. On the other hand, USDC, the more compliant contender, takes a distant second spot with total coin circulation of $1.8 billion, versus USDT at $14.5 billion (at the time of publication). It is still too early to tell who is the ultimate leader in the stablecoin arena, as more and more stablecoins are launching to offer various functions and supporting mechanisms. There are three main categories of stablecoin: fiat-backed, crypto-collateralized, and non-collateralized algorithm based stablecoins. Most of these are still at an experimental phase, and readers can learn more about them here. With the continuous innovation of stablecoin development, the utility stablecoins provide in the overall crypto market will become more apparent.
In addition to trade settlement, stablecoins can be applied in many other areas. Cross-border payments and remittances is an inefficient market that desperately needs innovation. In 2020, the average cost of sending money across the world is around 7%16, and it takes days to settle. The World Bank aims to reduce remittance fees to 3% by 2030. With the implementation of blockchain technology, this cost could be further reduced close to zero. J.P. Morgan, the largest bank in the U.S., has created an Interbank Information Network (IIN) with 416 global Institutions to transform the speed of payment flows through its own JPM Coin, another type of crypto dollar17. Although people argue that JPM Coin is not considered a cryptocurrency as it cannot trade openly on a public blockchain, it is by far the largest scale experiment with all the institutional participants trading within the “permissioned” blockchain. It might be more accurate to refer to it as the use of distributed ledger technology (DLT) instead of “blockchain” in this context. Nevertheless, we should keep in mind that as J.P. Morgan currently moves $6 trillion U.S. dollars per day18, the scale of this experiment would create a considerable impact in the international payment and remittance market if it were successful. Potentially the day will come when regulated crypto exchanges become participants of IIN, and the link between public and private crypto assets can be instantly connected, unlocking greater possibilities in blockchain applications. Many central banks are also in talks about developing their own central bank digital currency (CBDC). Although this idea was not new, the discussion was brought to the forefront due to Facebook’s aggressive Libra project announcement in June 2019 and the public attention that followed. As of July 2020, at least 36 central banks have published some sort of CBDC framework. While each nation has a slightly different motivation behind its currency digitization initiative, ranging from payment safety, transaction efficiency, easy monetary implementation, or financial inclusion, these central banks are committed to deploying a new digital payment infrastructure. When it comes to the technical architectures, research from BIS indicates that most of the current proofs-of-concept tend to be based upon distributed ledger technology (permissioned blockchain)19. https://preview.redd.it/lgb1f2rw19p51.png?width=700&format=png&auto=webp&s=040bb0deed0499df6bf08a072fd7c4a442a826a0 These institutional experiments are laying an essential foundation for an improved global payment infrastructure, where instant and frictionless cross-border settlements can take place with minimal costs. Of course, the interoperability of private DLT tokens and public blockchain stablecoins has yet to be explored, but the innovation with both public and private blockchain efforts could eventually merge. This was highlighted recently by the Governor of the Bank of England who stated that “stablecoins and CBDC could sit alongside each other20”. One thing for certain is that crypto dollars (or other fiat-linked digital currencies) are going to play a significant role in our future economy.
There is never a dull moment in the crypto sector. The industry narratives constantly shift as innovation continues to evolve. Twelve years since its inception, Bitcoin has evolved from an abstract subject to a familiar concept. Its role as a secured, scarce, decentralized digital store of value has continued to gain acceptance, and it is well on its way to becoming an investable asset class as a portfolio hedge against asset price inflation and fiat currency depreciation.Stablecoins have proven to be useful as proxy dollars in the crypto world, similar to how dollars are essential in the traditional world. It is only a matter of time before stablecoins or private digital tokens dominate the cross-border payments and global remittances industry. There are no shortages of hypes and experiments that draw new participants into the crypto space, such as smart contracts, new blockchains, ICOs, tokenization of things, or the most recent trends on DeFi tokens. These projects highlight the possibilities for a much more robust digital future, but the market also needs time to test and adopt. A reliable digital payment infrastructure must be built first in order to allow these experiments to flourish. In this paper we examined the historical background and economic reasons for the U.S. dollar’s dominance in the world, and the probable conclusion is that the demand for U.S. dollars will likely continue, especially in the middle of a global pandemic, accompanied by a worldwide economic slowdown. The current monetary system is far from perfect, but there are no better alternatives for replacement at least in the near term. Incremental improvements are being made in both the public and private sectors, and stablecoins have a definite role to play in both the traditional and the new crypto world. Thank you. Reference:  How the US dollar became the world’s reserve currency, Investopedia  The dollar is in high demand, prone to dangerous appreciation, The Economist  Dollar dominance in trade and finance, Gita Gopinath  Global trades dependence on dollars, The Economist & IMF working papers  Total credit to non-bank borrowers by currency of denomination, BIS  Biggest stock exchanges in the world, Business Insider  McKinsey Global Private Market Review 2020, McKinsey & Company  Central banks current interest rates, Global Rates  Venezuela hyperinflation hits 10 million percent, CNBC  Lebanon inflation crisis, Reuters  Venezuela cryptocurrency market, Chainalysis  The most used cryptocurrency isn’t Bitcoin, Bloomberg  Trading volume of all crypto assets, coinmarketcap.com  Tether US dollar peg is no longer credible, Forbes  New crypto derivatives let you bet on (or against) Tether’s solvency, Coindesk  Remittance Price Worldwide, The World Bank  Interbank Information Network, J.P. Morgan  Jamie Dimon interview, CBS News  Rise of the central bank digital currency, BIS  Speech by Andrew Bailey, 3 September 2020, Bank of England
TSM has been on my radar since I started saving to invest in 2018 because of AMD / GlobalFoundries. Really interesting business model for Semis AMD has. In 2019, you couldn't get away from heating up of the trade war. Congress began debating SAR for HK around the end of Hong Kong's "2019 Summer of Love" and rumors of what happens in the "re-education" camps / "Where did the Falun Gong practitioners go?" This is important because of the SWIFT system of world banking. HK is how they get dollars. Then in November of 2019, this happened.. https://en.m.wikipedia.org/wiki/Hong_Kong_Human_Rights_and_Democracy_Act#Related_bill Arizona plant news is where the tin foil ends and the conviction began for me. The Foundry is basically THE corporation of Taiwan. The Great Cheetoh has been making deals around the world, and technically Taiwan isn't China. We have recent armament deals with Taiwan and Japan to prove it. https://youtu.be/TLKt9yPb-f0 Why not?? Seemed like the American thing to do and there is a republican in office hell-bent on decoupling US communications tech from the CCP aka ROC. In Feb / March... Rona. April the economic fallout, news about bad PPE and tests from China being sold to Italy. In May all the US boats in Taiwanese waters and the rhetoric worldwide basically reflecting that the world isn't happy with the CCP. I had the balance for a RH call and it made more sense than an airline play at the time, so i got in. Anti CCP rhetoric started heating up and bi-partisan on the YouTube's, by the way, it seems 2020 is the year NBC (Comcast) discovered ad-revenue. Thank you Lester. At this point morning wood for TSM was a regular thing, so i set my limits on call options for both accounts, and incorporated into the LT DRIP. Thank you Papa Powell. I'm still poor, couldn't have done it without you... Then it seemed to be heating up at the end of May. Everyone is like WTF 'mate on the "One Belt. One Road." Initiative, both the geographical and digital. People are really starting to report on not-so-great stories out of China, and not just tinfoil or Epoch Times channels. Lot of shade being thrown on China tech, and things are heating up in S China Sea. https://youtu.be/6KiLhxgIBys https://youtu.be/BTgDYhtr-LU ...looks like Chy-na is on everyone's shit list, including Australia. Forex folks know how dope-tied the Aussie's and Kiwis are to CCP trade relations. The rumor was potential decouple from China. I mean the world is kinda dope-tied to Santa's little elves. I just realized how weird Christmas will be... I bought my shares for both accounts as per the voodoo ritual of purchasing at least 1 stock of a long term call strategy. Got my hand deep (for me) in the cookie jar May and June. http://imgur.com/gallery/xb7ptte http://imgur.com/gallery/ToFdT3z Third week of July called a bull flag on hourly: https://www.reddit.com/wallstreetbets/comments/hwz949/daily_discussion_thread_for_july_24_2020/fz4bi1b?utm_medium=android_app&utm_source=share July 24th, I got filled to the teeth in RH and my now free play in Webull was up 1,600%. http://imgur.com/gallery/0fB3FEp THEN July 27th, I closed my "free play" in Webull at $1,250. A little over 3,000% between 2 contracts that cost $75 total. Along the way, i picked up RH tendies and rebalanced the cash / bought more contracts and shares. They're officially part of the DRIP. http://imgur.com/gallery/UFKPnOz Related post I made last week regarding TSM and INTC. Any thoughts on how US semi production will play out for them? https://www.reddit.com/wallstreetbets/comments/i0jqtu/opinions_on_taiwan_semiconducto?utm_medium=android_app&utm_source=share Last week, The Fool confirmed many of the LT bias I had been building up on a win for The Foundry since November. All hype, or real talk? https://www.fool.com/investing/2020/07/31/3-tailwinds-are-lifting-tsmcs-stock-to-new-all-tim.aspx Financial analysis- This guy is boring af, but he goes through the numbers that no one likes to read, records in mobile, and is cool enough to zoom in on what he is talking about. https://youtu.be/wVxF7wwuogo Can anyone see a downside other than "COVID CLAP Trumps all"? Maybe I've been chewing too much YouTube tinfoil on lunch, but the limit orders that are closing 930-4pm are making me think I've hit the Autistic Lottery. Wish I had bought more. Friday, all I could see was a bull flag on the 4hr and 30min charts. Monday 8/03 it hasn't shit the bed at 11am EST. Maybe thats just the tin foil talking again and this is the ceiling. http://imgur.com/gallery/nRYKBB5 Still in, and potentially interested in more contracts. Open positions- http://imgur.com/gallery/naF9dik
I've noticed that about 2,000 people have joined the Forex community in the recent weeks. Has anyone else noticed this? I suspect this is because of the lay offs due to the corona virus, and people are frantically looking for ways to supplement their incomes. While I'm glad that people are trying to better themselves and take control of their financial situations, I have to admit that the daily "newbie" questions are getting quite annoying. And it's not because there are new, inexperienced traders asking for help, but it's because the questions are more-less the same questions. I know there is a pinned "New Traders" section at the top of the thread, but it seems it isn't catching much traction. But first, to the new traders I'd first like to say: Welcome! This will be a tough journey, but it will pay in dividends (not literally). A couple tips before we start: FIRST, see the pinned New Traders section of Forex SECOND, go to babypips and take their FREE courses where you will learn the basics. I never did because I'm an idiot, and it took me many years of trial and error to succeed in this game. Don't be a lemon like me, go to babypips. Now my basics; Always have at least a 1:2 Risk:Reward. Simply put, risk at least $1 for $2. Always set a stop loss and take profit. In the beginning, I find it best to give new traders a black or white, go-or-no-go trading strategy. Trade mechanically. While discretionary trading is profitable, you need years of experience and time in the charts to be good at it. It could be something like, "I only trade low volatility break outs on the 4hr. Any candle below x ATR and I will enter via stop order at the high/low of that candle. My sl will be at the high/low of the entry candle, and I will look to make at least 2 reward on that trade. I will risk 1% per trade, even on demo, and I will trade in the direction of a 10 period moving average" This is a VERY crude strategy, one I just pulled out of my ass, so don't go using it and blowing your accounts! I recommend starting with 1 pair in the beginning, at MOST 3. And I recommend not swapping into different pairs. Keep those 1-3 pairs. Once babypips is completed, demo trade. Put time in the charts and develop a strategy (mechanically, preferably). Your strategy could be as complex or as simple as you like. Simplicity is genius in my opinion, but you do you. I'm not trying to sound like an ass, but everything you really needed to learn you learned from babypips. With that said, DO NOT pay for courses from ANYONE. They will often know the same as you, if not less. In my opinion to be really great in this game you don't need a lot of information., and capitalize on every opportunity. You just need to be really good at one style and max that the hell out. For instance, being really good at low volatility breakouts, and having a system based off that. No amount of schooling (high school, college, or courses via Forex gurus) will make you successful. It's one thing to know a strategy, but to implement it in real time with real consequences is daunting. The only way to conquer this is to simply do it. Trade. Trade with an amount of money you can emotionally and financially afford to lose! I would even recommend starting a live account with $50 and only trading micro lots (0.01) until you become comfortable and your strategy proves successful. This is AFTER demo trading your strategy. Master yourself before you master the markets. Work out. Feed your brain. Get enough sleep. The money you make or lose isn't worth your health. Psychology. In my opinion the best psychology you can have while trading is a form of stoicism. You've placed your trade based off your strategy, you managed your trade based off your strategy, and you risked an amount you've told yourself you were comfortable losing with an account you told yourself you were comfortable blowing, so what's the worry? Why the second guessing? Everyone's heard that story, right? Where a man goes to a successful "guru" and says he wants to be successful. The guru says, "Ok. Show up at the beach this time tomorrow." The man shows up at the beach in a suit and tie, ready for success! The guru tells him to get in the water. Once in, the guru holds the mans head under the water, drowning him. At the last second the guru lets him up and says, "once you want success as much you wanted to breathe, you'll be successful. That's what you need to be like. You need to be willing to do what is necessary and put in the work. It's not easy. You're going to lose money, maybe even blow accounts. You may struggle for years without a return, or even lose money over that time. How bad do you want it success, though? And are you willing to drown to attain it? Best of luck new traders! Experienced traders, please feel free to add things or tell me I'm a goof in the comments.
TL;DR Just got into Naked Forex trading but I am stuck on backtesting. Can't correctly identify critical zones (supp and res zones) and I haven't found the criteria for my trading system (wammies and moolahs) on the charts that I have back tested. Any advice? Hi there, I started learning about forex awhile back from a friend and he began to show me the basics while also directing me to babypips for the free course they put you through. Although I got into all of this awhile back, I have been stuck in the stages of finding my own strategy and backtesting it. At first, I was very much into using the basic indicators (RSI, MACD, SMA/EMA) but then I came across a recommendation in this sub to read 'Naked Forex' and I was hooked. Not in a sense that now I knew exactly what my strategy was and how to implement it, but hooked in the idea of being able to read a chart and make trades based on price action and reversals. Of course while reading the book, understanding the concepts, and looking at all the examples of the different trading strategies i'm getting hyped in my mind to get to the backtesting stage to see if I can put this knowledge to somewhat of a test. Now here I am, staring at tradingview's daily and 4h charts from 2006 onward. Here's where I get stuck. I understand identifying critical support and resistance zones and it all made sense to me in the book, but as I am backtesting I find that the zones are either always changing or I can't figure out which ones are critical. On top of that, my trading system looks something like this (advice is welcome on how this could be improved or if you see any glaring "wtfs" in it) I trade wammies & moolahs (market touches supp. or res. zone twice, second touch is lowehigher with a bearish/bullish candlestick printed on the 2nd touch) and use either a kangaroo tail or big shadow for confirmation to initiate the trade. The buy/sell stop is set 8 pips above/below the bearish/bullish candlestick and the stop loss is placed below/above the first touch. The profit target is the following zone. There's a bit more criteria for the trade but that's the blueprint of it. I apologize if it either doesn't make sense or confuses you but even after sifting through months/years of backtesting data my eyes never caught any of this action happening in the zones I've identified. Any help would be appreciated as I am a sponge and will soak in as much criticism and advice as I can.
Simple trading strategy that consists of simply a few trading rules and requires consideration of a minimum of indicators that could work more effectively, thereby producing successful and profitable trades. Simple market analysis requires nothing more than a candlestick chart, and the ultimate strategy is to trade high-probability candlestick patterns. Like any other investment avenue, the Forex market has its own characteristics. For a profitable trade, a trader must learn these characteristics through practice, time, and study. One should keep in mind these tips for a winning Forex trading:
Trade with an Edge
Pay Attention to Daily Pivot Points
Preserve Trading Capital
Place Stop-loss Orders at Reasonable Price Levels
Simplifying Your Technical Analysis
One should keep these basic principles in their mind in order to perfectly enjoy an assured trading advantage! #forexsignals#stockmarket#profits#forexprofit#tradersmoney #forexmentorship #investing #forexmoney #forextrade #swingtrading #tradingplan #moneymaking
﷽ 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.
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)
Paper money options executions on real time data but only seeing delayed data?
I'm a full time day trader with 10+ years of experience of trading forex and futures, recently I decided to expand and learn options trading. My real money account is with a another broker which does not appear to be very good for stocks nor options trading so I opened a paper money account to learn more about trading options and also test drive the platform to see if it would be worth it for me to switch broker or not. While paper trading options with ToS I was surprised how difficult it was to get filled even at the most popular options such as TSLA 1000 call at either nearest expiration or July monthly, even SPY could be tricky to get filled even at a nice round number price with huge open interest and decent daily volume. Market orders would get me filled way off the delayed price I see on my chart. Today I got even more confused, I bought two TSLA 950 puts for $11.40 and $13.20 respectively with OCO limit to take profit at $18.00 and $20 with stop loss at $10.00 for both. Soon after buying the first contract TSLA stock dropped and my put shot up to $19-20 but my limit at $18.00 wouldn't fill so after a couple of minutes I cancelled it and entered a new limit order to exit at market with the padlock icon open just to get filled but didn't. When price came down again I bough the second contract and shortly after both contracts got stopped out at 9.85 while my chart showed that price of that option was hovering around $14. We all know that paper money accounts have delayed data, in the platform it states that data is delayed 20 mins but it always appear to be 15 mins. Of course excatly 15 minutes after I got stopped out the chart and option chain showed my put to be priced at $9.85 which is really weird beacuse; That would mean that the price quotes in the option chains and on the charts are delayed but the option orders on paper money account are executed based on real time price data, is this correct? If correct it explains why it was so difficult for me to get filled but also means paper money is not at all as useful to test strategies or simply learning to use ToS effeciently. However it's a relief for me to know I'm not going crazy or really don't know what's going on...
Hello, I've been testing forex strategies now for about 3-4 months using expert advisors. So that my testing is as rigorous as I can make it I've used all 28 major pairs over the past 10 years to backtest and for the ones that seemed to work alright I recorded their profits on each year to get a view of the drawdown. As a quick note, the only strategies that were at all profitable were on H4 and Daily TF minimum (although H4 experienced larger drawdown and volatility) and risked a maximum of 2% per trade (normally less than 1%). In total, I've tested probably over a hundred strategies now and several hundred indicators as well (I got into this through no-nonsense forex) yet out of those I only have found a single strategy that is consistently profitable on a yearly basis and that still can have quite bad drawdown periods. So I am confused because (except for some chart patterns that would be hard to program) I have tested most of the strategies that I've seen other people using and they don't seem to work, so I'm not sure how people are turning profits. TLDR I can't tell how anyone is making money when almost all the strategies that I've tested just don't work
This article will breakdown the top 16 trading tips you should consider , ranging from how you should trade, the risks you need to be aware of, how learning about trading can improve your trading performance, and much more! https://preview.redd.it/5mtfgzf58u951.jpg?width=750&format=pjpg&auto=webp&s=d03de717ed7528061472e763cfcb4cf34771fbef 1. Create Your Own Strategy No list of currency trading tips is complete if it doesn't mention strategies. One of the most common mistakes beginner traders make is not creating an action plan. Figure out what you want to get out of trading. Having a clear end goal in mind will help with your trading discipline. 2. Learn Step-by-Step As with every new practical learning activity, trading requires you to start with the basics, and move slowly until you understand the playing field. Start by investing small sums of money, and keep in mind the old adage 'slow but steady wins the race'. 3. Take Control of Your Emotions Don't let your emotions carry you away. It can be very difficult at times, especially after you've experienced a losing streak. But keeping a level head will help you stay rational, so you can make competent choices. Whenever you let your emotions get the better of you, you expose yourself to unnecessary risks. Exercising risk management within your trading will help you to minimise the risks. 4. Stress Less This is one Forex tip that sounds really obvious – because it really is. But guess what? Trading under stress generally leads to irrational decisions, and in live trading, that will cost you money. Therefore, identify the source of your stress and try to eliminate it, or at least limit its influence on you. Take a deep breath and focus on something else. Every person has their own way of overcoming stress – some listen to classical music, while others exercise. Listen to your mental health and learn what works best for you. 5. Practice Makes Perfect Of all the Forex tricks and tips for beginners, this is the most important. You are unlikely to succeed at anything on your first try. Only constant trading practice can yield consistently top results. But you probably don't want to lose money while learning the basics, right? 6. Psychology is Key Every trader is a psychologist at heart. When you're planning your next move, you have to analyse market movements and review your own psychology. You need to ask yourself questions such as:
Did I show signs of confirmation bias?
Did I make a trade out of frustration?
What made me choose that particular currency pair?
Mastering your psychology will protect you from many losses along the trading development path. 7. No Risk, No Success Not even Forex trading tips and tricks can guarantee you success. When you decide to become a trader, you should have already accepted the possibility of failure. In case you didn't – here's a reality check. You won't make profitable trades 100% of the time. Don't let false advertisements get in your head, either. Instead, be realistic about your Forex trading methods and goals. 8. Patience is a Virtue When it comes to trading, this old saying is not just a cliché. True success is never instantaneous. It's the result of consistent work and planning. Many beginner traders look for an easy, fast path to profit. Don't bother – it doesn't exist! 9. Continuous Education Each day you trade, there's a new lesson to be learned. Look closely at the Forex market and keep all the tips you have learnt in mind. Start analysing news, trends, and financial processes, and don't neglect the Forex basics. Most importantly, study, then practise and then study some more. Repeat this process often, and you will be well on your way to fully understanding the markets. Studying will require a lot of time and effort, but it will pay off in the long run. For starters, Admiral Markets offers the opportunity for traders to benefit from a free education centre that offers Forex tips, as well as, a range of articles and tutorials offering tips, tricks, strategies, and more, for all kinds of trading. 10. Trends are Good for You One particularly important Forex market tip to follow is to learn about trends. The ability to spot trends is a valuable one. While we don't recommend jumping on the trend bandwagon every time, but outright ignoring the trend is a recipe for disaster. Trends can show you what is coming, so you can pro-actively adjust your trading, rather than reacting when it's too late. 11. Seek Competitive Conditions It's important to choose top-notch service conditions and get favourable spreads. If you're considering trading with Admiral Markets, there are a range of different options available. Why not read more about them in our account types section? 12. Plan in Advance Forex trading is not a gamble – it's a strategic game. Carefully calculate your next move before you act. You can begin formulating a plan by asking yourself some challenging questions such as:
Have I accounted for the possibility that I may lose?
What's my plan B for the different types of scenarios that may arise?
To be successful at Forex trading, you have to expect the unexpected. 13. Know the Charts You will be trading on many different markets and will need to quickly understand the information you analyse for each trade. There are numerous tools available to traders that make trading easier, but nothing is more time-efficient than charts. Charts provide you with fast access to numerically-heavy data in the form of a simple visual, so you don't have to scroll through it. 14. Don't Run out of Chances Eagerness is good, but there is a limit to everything. If you trade too much, you are probably harming your chances of achieving success. Why? Because overtrading usually leads to weakened focus and careless trades. As you develop your trading plan, indicate the maximum amount of trades you will make per day or week. 15. Greediness Leads to Risks Greediness can make you take unnecessary risks as well. Set the maximum loss and desired profit within your trading plan. When you hit this level, stop and don't go for another trade. When it comes to fund management, this is one of the most important Forex tips and tricks to follow. 16. Use Stop-Losses Our Forex daily tips don't just focus on general recommendations. We also want to mention valuable tools, such as the highly rated stop-loss. Not setting a stop-loss is basically giving you an excuse to keep a bad position open (because you're hoping that the situation improves). But bad situations rarely improve, and neither will your capital if you don't wise up fast. A correctly placed stop-loss eliminates the risk of losing all of your money on a single bad trade. The stop-loss is especially beneficial when you don't have the ability to close positions manually.
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Hi all, I've been into forex trading for 5 years now, and I finally have a bullet proof strategy. I've been trading it for half a year, backtesting an with real money, and the strategy actually works like a charm. But my issue is somewhat unique So, I have never liked demo accounts. The total detachment from emotions in them is the key; I am a full supporter of the people saying Demo should only be used to get familiar with the trading platform, and not for forward testing. That is why I always put some money in when I tested a strategy in the past - very small amount, between 200 and 500 euro. To me, however, being from Bulgaria, that is 1/4th of my monthly salary, so not THAT little. So, following the usual path, I have blown up about 20 of these small accounts in the years. Finally, I have a strategy, and now my biggest issue is... I can no longer get excited. Now, some would say that's a good thing. Trading without emotions, etc, etc. But I don't believe in it! I have been stepping over my rules because of apathy. Because I've seen a small 300 euro account burst into flames so often. I'm still breakeven, and I see I still often break my rules because of lack of interest, follow-through, entering trades for the sake of entering trades. And yeah, my mind always get set to "get back to my initial balance" after I do 20 stupid things in a row, and I never advance beyond that starting point. I have never imagined I would finally be 1 step from being profitable (and I really can. When I lose some money, the desire to bring it back makes me strict, and I come back to breakeven in <10 trades) and at the same time, never been as close to taking the decision to quit trading forever. I might as well do it tomorrow, I will feel nothing. What can I do to spark things up a bit? I'm desperate...
I'm fairly new to Forex. I've spent a great deal of time understanding Forex and I'm still immersing myself in as much information as I can find. I started a 100k demo account to practice strategies and feel as though I have a pretty good system. I trade on the daily chart and use a series of indicators and monitor shorter time frames to make sure things don't go awry. At the time I wasn't too concerned with leverage/margins. I'm currently practicing on a demo account of $2k taking into account leverage. I'm trading no more than 2 mini lots and 3-5 micro lots at a time such that I'm leveraging no more than $1k of "my money" and a $1k buffer. I'm pretending to use "max leverage." My plan: Try to build $1k of profits. Reinvest profit to build to $2k. Turn $2k to $5k, $5k to $10k. Eventually get to a point where I can turn it into a sustainable income. Then transfer to a live account. Am I living in unicorn land with illusions of grandeur? I'm concerned with relying on using max leverage. Do people make sustainable incomes on Forex trading? I'm in a trade of GBPJPY short at 10,000 units. Current profit is at $188.00. The trade value is $6509. According to IG brokerage the GBPJPY margin is 5%. Using max leverage I'm only using $325 of "my money." If I chose to trade 100,000 units, given I have the funds for leverage, I would have $1880.00 of profit. That seems like sustainable income territory to me. Please guide me Forex community!
I am a professional Day Trader working for a Prop Fund, Hope I can help people out and answer some questions
Howdy all, I work professionally for a proprietary trading fund, and have worked for quite a few in my time, hope I can offer some insights on trading etc you guys might have. Bonus for you guys Here are the columns in my trading journal and various explanations where appropriate: Trade Number – Simply is this the first trade of the year? The 10th?, The 50th? I count a trade that you opened and closed just one trade number. For example if you buy EUUSD today and sell it 50 pips later in the day and close out the trade, then that is just one trade for recording purposes. I do not create a second trade number to describe the exit. Both the entry and exit are under the same trade number. Ticket Number – This is ticket number / order ID number that your broker gives you for the trade on your platform. Day of the Week – This would be simply the day of the week the trade was initiated Financial Instrument / Currency Pair – Whatever Financial Instrument or currency pair you are trading. If you are trading EUUSD, put EUUSD. If you are trading the EuroFX futures contract, then put in Euro FX. If you are trading the emini S&P, then put in Emini S&P 500. If you are trading a stock, put in the ticker symbol. Etc. Buy/Sell or Long/Short – Did you buy or sell to open the new trade? If you bought something to open the trade, then write in either BUY or LONG. If you sold(shorted) something to open a trade, then write in SOLD, or SHORT. This is a personal preference. Some people like to put in their journals as BUY/SELL. Other people like to write in Long/Short. My preference is for writing in long/short, since that is the more professional way to say it. I like to use the lingo where possible. Order Type – Market or Limit – When you entered the trade was it a market order or limit order? Some people can enter a trade using a combination of market and limit orders. If you enter a trade for $1 million half of which was market order and the other half was limit order, then you can write in $500,000 Market, $500,000 Limit as a bullet points. Position Size / Units / Contracts / Shares – How big was the total trade you entered? If you bought 1 standard lot of a currency pair, then write in $100,000 or 1 standard lot. If you bought 5 gold futures contracts, then write in 5 contracts. If you bought 1,000 shares of stock, then write in 1,000 shares. Etc. Entry Price – The entry price you received entering your opening position. If you entered at multiple prices, then you can either write in all the different fills you got, or specify the average price received. Entry Date – Date that you entered the position. For example January 23, 2012. Or you can write in 1/23/12 . Entry Time – Time that you opened the position. If it is multiple positions, then you can specify each time for each various fill, or you can specify the time range. For example if you got $100,000 worth of EUUSD filled at 3:00 AM EST, and another $100,000 filled at 3:05 and another $100,000 filled at 3:25, then you can write all those in, or you can specify a range of 3:00 – 3:30 AM EST. Entry Spread Cost (in pips) – This is optional if you want to keep track of your spread cost in pips. If you executed a market order, how many pips did you pay in spread. Entry Spread Cost (in dollars) – This is optional if you want to keep track of your spread cost in dollars. If you executed a market order, how many dollars did you pay in spread. Stop Loss Size – How big is your stop loss size? If you are trading a currency pair, then you write in the pips. If you are trading the S&P futures contract, then write in the number of points. If you are trading a stock, then write in how many cents or dollars your stop is away from your entry price. % Risk – If you were to get stopped out of the trade, how much % loss of your equity is that? This is where you input your risk per trade expressed in % terms if you use such a position sizing method. If you risked 0.50% of your account on the trade, then put in 0.50% Risk in dollars – If you were to get stopped out of the trade, how much loss in dollars is that. For example if you have a $100,000 account and you risked 1% on a trade, then write in $1,000 dollars Potential Reward: Risk Ratio – This is a column that I only sometimes fill in. You write in what the potential reward risk ratio of the trade is. If you are trading using a 100 pip stop and you expect that the market can reasonably move 300 pips, then you can write in 3:1. Of course this is an interesting column because you can look at it after the trade is finished and see how close you were or how far removed from reality your initial projections were. Potential Win Rate – This is another column that I only sometimes fill in. You write in what you believe the potential win rate of this trade is. If you were to place this trade 10 times in a row, how many times do you think you would win? I write it in as percentage terms. If you believe the trade has a 50% chance to win, then write in 50%. Type of Inefficiency – This is where you write in what type of inefficiency you are looking to capture. I use the word inefficiency here. I believe it is important to think of trading setups as inefficiencies. If you think in terms of inefficiencies, then you will think in terms of the market being mispriced, then you will think about the reasons why the market is mispriced and why such market expectations for example are out of alignment with reality. In this category I could write in different types of trades such as fading the stops, different types of news trades, expecting stops to get tripped, betting on sentiment intensifying, betting on sentiment reversing, etc. I do not write in all the reasons why I took the trade in this column. I do that in another column. This column is just to broadly define what type of inefficiency you are looking to capture. Chart Time Frame – I do not use this since all my order flow based trades have nothing to do with what chart time frame I look at. However, if you are a chartist or price action trader, then you may want to include what chart time frame you found whatever pattern you were looking at. Exit Price – When you exit your trade, you enter the price you received here. Exit Date – The date you exited your trade. Exit Time – The time you exited your trade. Trade Duration – In hours, minutes, days or weeks. If the trade lasts less than an hour, I will usually write in the duration in minutes. Anything in between 1 and 48 hours, I write in the hours amount. Anything past that and I write it as days or weeks as appropriate, etc. Pips the trade went against you before turning into a winner – If you have a trade that suffered a draw down, but did not stop you out and eventually was a winner, then you write it how many pips the trade went against you before it turned into a profitable trade. The reason you have this column is to compare it to your stop loss size and see any patterns that emerge. If you notice that a lot of your winning trades suffer a big draw down and get near your stop loss points but turn out to be a profitable trade, then you can further refine your entry strategy to get in a better price. Slippage on the Exit – If you get stopped out for a loss, then you write in how many pips you suffered as slippage, if any. For example if you are long EUUSD at 1.2500 and have your stop loss at 1.2400 and the market drops and you get filled at 1.2398, then you would write in -2 pips slippage. In other words you lost 2 pips as slippage. This is important for a few different reasons. Firstly, you want to see if the places you put your stop at suffer from slippage. If they do, perhaps you can get better stop loss placement, or use it as useful information to find new inefficiencies. Secondly, you want to see how much slippage your broker is giving you. If you are trading the same system with different brokers, then you can record the slippage from each one and see which has the lowest slippage so you can choose them. Profit/Loss -You write in the profit and/or loss in pips, cents, points, etc as appropriate. If you bought EUUSD at 1.2500 and sell it at 1.2550, you made 50 pips, so write in +50 pips. If you bought a stock at $50 and you sell it at $60, then write in +$10. If you buy the S&P futures at 1,250 and sell them at 1,275, then write in +25 points. If you buy the GBP/USD at 1.5000 and you sell it at 1.4900, then write in -100 pips. Etc. I color code the box background to green for profit and red for loss. Profit/Loss In Dollars – You write the profit and/or loss in dollars (or euros, or jpy, etc whatever currency your account is denominated in). If you are long $100,000 of EUUSD at 1.2500 and sell it at 1.2600, then write in +$1,000. If you are short $100,000 GBP/USD at 1.5900 and it rises to 1.6000 and you cover, then write in -$1,000. I color code the box background to green for profit and red for loss. Profit/Loss as % of your account – Write in the profit and/or loss as % of your account. If a trade made you 2% of your account, then write in +2%. If a trade lost 0.50%, then write in -0.50%. I color code the box background to green for profit and red for loss. Reward:Risk Ratio or R multiple: If the trade is a profit, then write in how many times your risk did it pay off. If you risked 0.50% and you made 1.00%, then write in +2R or 2:1 or 2.0. If you risked 0.50% and a trade only makes 0.10%, then write in +0.20R or 0.2:1 or 0.2. If a trade went for a loss that is equal to or less than what you risked, then I do not write in anything. If the loss is greater than the amount you risked, then I do write it in this column. For example lets say you risk 0.50% on a stock, but overnight the market gaps and you lose 1.50% on a trade, then I would write it in as a -3R. What Type of trading loss if the trade lost money? – This is where I describe in very general terms a trade if it lost money. For example, if I lost money on a trade and the reason was because I was buying in a market that was making fresh lows, but after I bought the market kept on going lower, then I would write in: “trying to pick a bottom.” If I tried shorting into a rising uptrend and I take a loss, then I describe it as “trying to pick a top.” If I am buying in an uptrend and buy on a retracement, but the market makes a deeper retracement or trend change, then I write in “tried to buy a ret.” And so on and so forth. In very general terms I describe it. The various ways I use are: • Trying to pick a bottom • Trying to pick a top • Shorting a bottom • Buying a top • Shorting a ret and failed • Wrongly predicted news • Bought a ret and failed • Fade a resistance level • Buy a support level • Tried to buy a breakout higher • Tried to short a breakout lower I find this category very interesting and important because when performing trade journal analysis, you can notice trends when you have winners or losing trades. For example if I notice a string of losing trades and I notice that all of them occur in the same market, and all of them have as a reason: “tried to pick a bottom”, then I know I was dumb for trying to pick a bottom five times in a row. I was fighting the macro order flow and it was dumb. Or if I notice a string of losers and see that I tried to buy a breakout and it failed five times in a row, but notice that the market continued to go higher after I was stopped out, then I realize that I was correct in the move, but I just applied the wrong entry strategy. I should have bought a retracement, instead of trying to buy a fresh breakout. That Day’s Weaknesses (If any) – This is where I write in if there were any weaknesses or distractions on the day I placed the trade. For example if you are dead tired and place a trade, then write in that you were very tired. Or if you place a trade when there were five people coming and out of your trading office or room in your house, then write that in. If you placed the trade when the fire alarm was going off then write that in. Or if you place a trade without having done your daily habits, then write that in. Etc. Whatever you believe was a possible weakness that threw you off your game. That Day’s Strengths (If any) – Here you can write in what strengths you had during the day you placed your trade. If you had complete peace and quiet, write that in. If you completed all your daily habits, then write that in. Etc. Whatever you believe was a possible strength during the day. How many Open Positions Total (including the one you just placed) – How many open trades do you have after placing this one? If you have zero open trades and you just placed one, then the total number of open positions would be one, so write in “1.” If you have on three open trades, and you are placing a new current one, then the total number of open positions would be four, so write in “4.” The reason you have this column in your trading journal is so that you can notice trends in winning and losing streaks. Do a lot of your losing streaks happen when you have on a lot of open positions at the same time? Do you have a winning streak when the number of open positions is kept low? Or can you handle a lot of open positions at the same time? Exit Spread Cost (in pips) – This is optional if you want to keep track of your spread cost in pips. If you executed a market order, how many pips did you pay in spread. Exit Spread Cost (in dollars) – This is optional if you want to keep track of your spread cost in dollars. If you executed a market order, how many dollars did you pay in spread. Total Spread Cost (in pips) – You write in the total spread cost of the entry and exit in pips. Total Spread Cost (in dollars) – You write in the total spread cost of the entry and exit in dollars. Commission Cost – Here you write in the total commission cost that you incurred for getting in and out of the trade. If you have a forex broker that is commission free and only gets compensated through the spread, then you do not need this column. Starting Balance – The starting account balance that you had prior to the placing of the trade Interest/swap – If you hold forex currency pairs past the rollover, then you either get interest or need to pay out interest depending on the rollover rates. Or if you bought a stock and got a dividend then write that in. Or if you shorted a stock and you had to pay a dividend, then write that in. Ending Balance – The ending balance of your account after the trade is closed after taking into account trade P&L, commission cost, and interest/swap. Reasons for taking the trade – Here is where you go into much more detail about why you placed the trade. Write out your thinking. Instead of writing a paragraph or two describing my thinking behind the trade, I condense the reasons down into bullet points. It can be anywhere from 1-10 bullet points. What I Learned – No matter if the trade is a win or loss, write down what you believed you learned. Again, instead of writing out a paragraph or two, I condense it down into bullet points. it can be anywhere from 1-10 bullet points. I do this during the day the trade closed as a profit or loss. What I learned after Long Term reflection, several days, weeks, or months – This is the very interesting column. This is important because after you have a winning or losing trade, you will not always know the true reasons why it happened. You have your immediate theories and reasons which you include in the previous column. However, there are times when after several days, weeks, or months, you find the true reason and proper market belief about why your trade succeeded or failed. It can take a few days or weeks or months to reach that “aha” moment. I am not saying that I am thinking about trades I placed ten months ago. I try to forget about them and focus on the present moment. However, there will be trades where you have these nagging questions about they failed or succeeded and you will only discover those reasons several days, weeks, or months later. When you discover the reasons, you write them in this column.
Daily Chart Forex Trading Strategy. First thing we’ve done is determined through price action that we are in an overall down trend. This means we are only looking to take shorts on the daily chart for our trading strategy. The daily chart is the most watched timeframe by professional hedge funds, dealing banks, large traders, and other major market players that can normally move markets. The forex daily chart provides a currency trader with an indispensable overall market view from which they can create a long side or short side directional bias. Many traders (perhaps like yourself) want to trade the higher time frames and are wondering what daily forex strategies you can use. There are many strategies we teach in our trading course, but one I’d recommend is a role reversal setup (or breakout pullback setup). This strategy is best used when you are trading with trend. The Daily Chart MACD forex trading strategy is a mechanical swing trading system that delivers unique buy and sell FX signals. It provides you greater staying power in the market, since it runs on a higher time frame (1-Day chart). This means you can stay longer in the market, as such increasing your chances of […] Forex trading strategy #17 (Trading Off the Daily Chart) Submitted by User on March 23, 2012 - 07:49. ... The only way to determine the true trend for a currency is to look at the daily chart. A typical daily chart snapshot will show the price action for weeks at a time. You can then tell just by looking at the chart to see whether the trend is ...
Best Forex Trading Strategy Using 200 EMA (Daily Entries ...
Forex Swing Trading Strategies (4 Hour Chart Strategy) https://www.forexelite.com Learn just one of the 100+ Forex Trading Strategies provided guests of the sh... Best Forex Trading Strategy Using 200 EMA (Daily Entries) Watch later. Share. Copy link. Info. Shopping. 00:25 – I’ve traded the Daily charts for the last 12-13 years 00:36 – Trading to make money 01:35 – It doesn’t need to take all day at your computer to be a full time Forex trader Price patterns are more reliatble on longer term charts and swing trading on daily charts with Forex Trendy takes the work out of trading. Day trading is a job. Swing trading allows you to have a ... Forex Daily Chart Analysis: How Great Traders Do It! FREE: Complete Price Action Strategy Checklist http://bit.ly/2wSHj8N In this live video, I show you how ...