Average Daily Range Pro Calculator Metatrader 4 Indicator

How to Calculate an Average Daily Range in Forex

How to Calculate an Average Daily Range in Forex submitted by ososru to Bitcoin4free [link] [comments]

How to Calculate an Average Daily Range in Forex

How to Calculate an Average Daily Range in Forex submitted by Rufflenator to 3bitcoins [link] [comments]

How to Calculate an Average Daily Range in Forex

How to Calculate an Average Daily Range in Forex submitted by Hellterskelt to bitcoin_is_dead [link] [comments]

Former investment bank FX trader: some thoughts

Former investment bank FX trader: some thoughts
Hi guys,
I have been using reddit for years in my personal life (not trading!) and wanted to give something back in an area where i am an expert.
I worked at an investment bank for seven years and joined them as a graduate FX trader so have lots of professional experience, by which i mean I was trained and paid by a big institution to trade on their behalf. This is very different to being a full-time home trader, although that is not to discredit those guys, who can accumulate a good amount of experience/wisdom through self learning.
When I get time I'm going to write a mid-length posts on each topic for you guys along the lines of how i was trained. I guess there would be 15-20 topics in total so about 50-60 posts. Feel free to comment or ask questions.
The first topic is Risk Management and we'll cover it in three parts
Part I
  • Why it matters
  • Position sizing
  • Kelly
  • Using stops sensibly
  • Picking a clear level

Why it matters

The first rule of making money through trading is to ensure you do not lose money. Look at any serious hedge fund’s website and they’ll talk about their first priority being “preservation of investor capital.”
You have to keep it before you grow it.
Strangely, if you look at retail trading websites, for every one article on risk management there are probably fifty on trade selection. This is completely the wrong way around.
The great news is that this stuff is pretty simple and process-driven. Anyone can learn and follow best practices.
Seriously, avoiding mistakes is one of the most important things: there's not some holy grail system for finding winning trades, rather a routine and fairly boring set of processes that ensure that you are profitable, despite having plenty of losing trades alongside the winners.

Capital and position sizing

The first thing you have to know is how much capital you are working with. Let’s say you have $100,000 deposited. This is your maximum trading capital. Your trading capital is not the leveraged amount. It is the amount of money you have deposited and can withdraw or lose.
Position sizing is what ensures that a losing streak does not take you out of the market.
A rule of thumb is that one should risk no more than 2% of one’s account balance on an individual trade and no more than 8% of one’s account balance on a specific theme. We’ll look at why that’s a rule of thumb later. For now let’s just accept those numbers and look at examples.
So we have $100,000 in our account. And we wish to buy EURUSD. We should therefore not be risking more than 2% which $2,000.
We look at a technical chart and decide to leave a stop below the monthly low, which is 55 pips below market. We’ll come back to this in a bit. So what should our position size be?
We go to the calculator page, select Position Size and enter our details. There are many such calculators online - just google "Pip calculator".

https://preview.redd.it/y38zb666e5h51.jpg?width=1200&format=pjpg&auto=webp&s=26e4fe569dc5c1f43ce4c746230c49b138691d14
So the appropriate size is a buy position of 363,636 EURUSD. If it reaches our stop level we know we’ll lose precisely $2,000 or 2% of our capital.
You should be using this calculator (or something similar) on every single trade so that you know your risk.
Now imagine that we have similar bets on EURJPY and EURGBP, which have also broken above moving averages. Clearly this EUR-momentum is a theme. If it works all three bets are likely to pay off. But if it goes wrong we are likely to lose on all three at once. We are going to look at this concept of correlation in more detail later.
The total amount of risk in our portfolio - if all of the trades on this EUR-momentum theme were to hit their stops - should not exceed $8,000 or 8% of total capital. This allows us to go big on themes we like without going bust when the theme does not work.
As we’ll see later, many traders only win on 40-60% of trades. So you have to accept losing trades will be common and ensure you size trades so they cannot ruin you.
Similarly, like poker players, we should risk more on trades we feel confident about and less on trades that seem less compelling. However, this should always be subject to overall position sizing constraints.
For example before you put on each trade you might rate the strength of your conviction in the trade and allocate a position size accordingly:

https://preview.redd.it/q2ea6rgae5h51.png?width=1200&format=png&auto=webp&s=4332cb8d0bbbc3d8db972c1f28e8189105393e5b
To keep yourself disciplined you should try to ensure that no more than one in twenty trades are graded exceptional and allocated 5% of account balance risk. It really should be a rare moment when all the stars align for you.
Notice that the nice thing about dealing in percentages is that it scales. Say you start out with $100,000 but end the year up 50% at $150,000. Now a 1% bet will risk $1,500 rather than $1,000. That makes sense as your capital has grown.
It is extremely common for retail accounts to blow-up by making only 4-5 losing trades because they are leveraged at 50:1 and have taken on far too large a position, relative to their account balance.
Consider that GBPUSD tends to move 1% each day. If you have an account balance of $10k then it would be crazy to take a position of $500k (50:1 leveraged). A 1% move on $500k is $5k.
Two perfectly regular down days in a row — or a single day’s move of 2% — and you will receive a margin call from the broker, have the account closed out, and have lost all your money.
Do not let this happen to you. Use position sizing discipline to protect yourself.

Kelly Criterion

If you’re wondering - why “about 2%” per trade? - that’s a fair question. Why not 0.5% or 10% or any other number?
The Kelly Criterion is a formula that was adapted for use in casinos. If you know the odds of winning and the expected pay-off, it tells you how much you should bet in each round.
This is harder than it sounds. Let’s say you could bet on a weighted coin flip, where it lands on heads 60% of the time and tails 40% of the time. The payout is $2 per $1 bet.
Well, absolutely you should bet. The odds are in your favour. But if you have, say, $100 it is less obvious how much you should bet to avoid ruin.
Say you bet $50, the odds that it could land on tails twice in a row are 16%. You could easily be out after the first two flips.
Equally, betting $1 is not going to maximise your advantage. The odds are 60/40 in your favour so only betting $1 is likely too conservative. The Kelly Criterion is a formula that produces the long-run optimal bet size, given the odds.
Applying the formula to forex trading looks like this:
Position size % = Winning trade % - ( (1- Winning trade %) / Risk-reward ratio
If you have recorded hundreds of trades in your journal - see next chapter - you can calculate what this outputs for you specifically.
If you don't have hundreds of trades then let’s assume some realistic defaults of Winning trade % being 30% and Risk-reward ratio being 3. The 3 implies your TP is 3x the distance of your stop from entry e.g. 300 pips take profit and 100 pips stop loss.
So that’s 0.3 - (1 - 0.3) / 3 = 6.6%.
Hold on a second. 6.6% of your account probably feels like a LOT to risk per trade.This is the main observation people have on Kelly: whilst it may optimise the long-run results it doesn’t take into account the pain of drawdowns. It is better thought of as the rational maximum limit. You needn’t go right up to the limit!
With a 30% winning trade ratio, the odds of you losing on four trades in a row is nearly one in four. That would result in a drawdown of nearly a quarter of your starting account balance. Could you really stomach that and put on the fifth trade, cool as ice? Most of us could not.
Accordingly people tend to reduce the bet size. For example, let’s say you know you would feel emotionally affected by losing 25% of your account.
Well, the simplest way is to divide the Kelly output by four. You have effectively hidden 75% of your account balance from Kelly and it is now optimised to avoid a total wipeout of just the 25% it can see.
This gives 6.6% / 4 = 1.65%. Of course different trading approaches and different risk appetites will provide different optimal bet sizes but as a rule of thumb something between 1-2% is appropriate for the style and risk appetite of most retail traders.
Incidentally be very wary of systems or traders who claim high winning trade % like 80%. Invariably these don’t pass a basic sense-check:
  • How many live trades have you done? Often they’ll have done only a handful of real trades and the rest are simulated backtests, which are overfitted. The model will soon die.
  • What is your risk-reward ratio on each trade? If you have a take profit $3 away and a stop loss $100 away, of course most trades will be winners. You will not be making money, however! In general most traders should trade smaller position sizes and less frequently than they do. If you are going to bias one way or the other, far better to start off too small.

How to use stop losses sensibly

Stop losses have a bad reputation amongst the retail community but are absolutely essential to risk management. No serious discretionary trader can operate without them.
A stop loss is a resting order, left with the broker, to automatically close your position if it reaches a certain price. For a recap on the various order types visit this chapter.
The valid concern with stop losses is that disreputable brokers look for a concentration of stops and then, when the market is close, whipsaw the price through the stop levels so that the clients ‘stop out’ and sell to the broker at a low rate before the market naturally comes back higher. This is referred to as ‘stop hunting’.
This would be extremely immoral behaviour and the way to guard against it is to use a highly reputable top-tier broker in a well regulated region such as the UK.
Why are stop losses so important? Well, there is no other way to manage risk with certainty.
You should always have a pre-determined stop loss before you put on a trade. Not having one is a recipe for disaster: you will find yourself emotionally attached to the trade as it goes against you and it will be extremely hard to cut the loss. This is a well known behavioural bias that we’ll explore in a later chapter.
Learning to take a loss and move on rationally is a key lesson for new traders.
A common mistake is to think of the market as a personal nemesis. The market, of course, is totally impersonal; it doesn’t care whether you make money or not.
Bruce Kovner, founder of the hedge fund Caxton Associates
There is an old saying amongst bank traders which is “losers average losers”.
It is tempting, having bought EURUSD and seeing it go lower, to buy more. Your average price will improve if you keep buying as it goes lower. If it was cheap before it must be a bargain now, right? Wrong.
Where does that end? Always have a pre-determined cut-off point which limits your risk. A level where you know the reason for the trade was proved ‘wrong’ ... and stick to it strictly. If you trade using discretion, use stops.

Picking a clear level

Where you leave your stop loss is key.
Typically traders will leave them at big technical levels such as recent highs or lows. For example if EURUSD is trading at 1.1250 and the recent month’s low is 1.1205 then leaving it just below at 1.1200 seems sensible.

If you were going long, just below the double bottom support zone seems like a sensible area to leave a stop
You want to give it a bit of breathing room as we know support zones often get challenged before the price rallies. This is because lots of traders identify the same zones. You won’t be the only one selling around 1.1200.
The “weak hands” who leave their sell stop order at exactly the level are likely to get taken out as the market tests the support. Those who leave it ten or fifteen pips below the level have more breathing room and will survive a quick test of the level before a resumed run-up.
Your timeframe and trading style clearly play a part. Here’s a candlestick chart (one candle is one day) for GBPUSD.

https://preview.redd.it/moyngdy4f5h51.png?width=1200&format=png&auto=webp&s=91af88da00dd3a09e202880d8029b0ddf04fb802
If you are putting on a trend-following trade you expect to hold for weeks then you need to have a stop loss that can withstand the daily noise. Look at the downtrend on the chart. There were plenty of days in which the price rallied 60 pips or more during the wider downtrend.
So having a really tight stop of, say, 25 pips that gets chopped up in noisy short-term moves is not going to work for this kind of trade. You need to use a wider stop and take a smaller position size, determined by the stop level.
There are several tools you can use to help you estimate what is a safe distance and we’ll look at those in the next section.
There are of course exceptions. For example, if you are doing range-break style trading you might have a really tight stop, set just below the previous range high.

https://preview.redd.it/ygy0tko7f5h51.png?width=1200&format=png&auto=webp&s=34af49da61c911befdc0db26af66f6c313556c81
Clearly then where you set stops will depend on your trading style as well as your holding horizons and the volatility of each instrument.
Here are some guidelines that can help:
  1. Use technical analysis to pick important levels (support, resistance, previous high/lows, moving averages etc.) as these provide clear exit and entry points on a trade.
  2. Ensure that the stop gives your trade enough room to breathe and reflects your timeframe and typical volatility of each pair. See next section.
  3. Always pick your stop level first. Then use a calculator to determine the appropriate lot size for the position, based on the % of your account balance you wish to risk on the trade.
So far we have talked about price-based stops. There is another sort which is more of a fundamental stop, used alongside - not instead of - price stops. If either breaks you’re out.
For example if you stop understanding why a product is going up or down and your fundamental thesis has been confirmed wrong, get out. For example, if you are long because you think the central bank is turning hawkish and AUDUSD is going to play catch up with rates … then you hear dovish noises from the central bank and the bond yields retrace lower and back in line with the currency - close your AUDUSD position. You already know your thesis was wrong. No need to give away more money to the market.

Coming up in part II

EDIT: part II here
Letting stops breathe
When to change a stop
Entering and exiting winning positions
Risk:reward ratios
Risk-adjusted returns

Coming up in part III

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

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

Former investment bank FX trader: Risk management part II

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

Letting stops breathe

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

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

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

Reasons to change a stop

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

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

Entering and exiting winning positions

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

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

Entering positions with limit orders

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

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

Risk:reward and win ratios

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

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

Risk-adjusted returns

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

Sharpe ratio

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

VAR

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

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

Coming up in part III

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

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

3000RMB vs 3000USD

Recently there’s a heated debate around the topic of the buying power of 3000 USD and 3000 RMB in USA and China. And how the results are related to the daily life of each nation’s citizens. Thus, I am here to analyze the difference of buying power between 3000 USD and 3000 RMB.
First of all, the situation here is actually more complicated than one might think, 3000 USD as of current translates to 20758.50 RMB on forex. Which is why just simply straight up comparing the two isn’t by any means fair. A fairer topic of discussion would be the difference of buying power between the average citizen of the two nations. However, criticizing the topic doesn’t mean I won’t give this topic a fair analyzes.
What would life look like with 3000 USD in America and 3000 RMB in China?
Well, first of all we need to settle on a city for comparison, America have 50 states while China have 23 provinces. The prices change dramatically between city to city, state to state, province to province. Thus, for the sake of fair comparison, we will compare Shang Hai to New York. Both are the cities with the most amount of GDP per capita with in their nation. However, once again for the sake of fairness a note had to be made here, Shang Hai have a significantly larger population, and a much lower GDP per capita.
To make the comparison, I will make a budget living plan for both NYC and Shang Hai. The living plan will include health care, telephone bill, rent, food, electricity & hydro, and transport. The budget won’t include furniture or clothing as they aren’t something which is bought monthly.
New York:
- Housing (1,100$): According to renthop.com (https://www.renthop.com/average-rent-in/new-york-city-ny), the average 1 bed room rent ranges from 2650-3550dollamonth. According to rentcafe.com (https://www.rentcafe.com/average-rent-market-trends/us/ny/manhattan/), the average rent over all reaches a astonishing 4,208 dollamonth. Thus, to make a functional housing plan requires a bit more thought put into it.
After a bit of searching, I am able to find a 1,100-dollar living space, the downside being having to live with 3 other roommates. (https://www.apartments.com/common-robinson-new-york-ny/5r6bl3n/)
- Health care (500$): Unfortunately, I am denied access to the health care market place for New York city because of my non-New York IP. (https://info.nystateofhealth.ny.gov/) However, individual researches tells us that the average new yorker spends a 6,335$ on health care annually. So averagely the health care spending per month would be roughly 500$.
- Transport (127$): A unlimited monthly metro card in New York is 127.00$. (https://www.tripsavvy.com/new-york-city-subways-and-buses-1612185#:~:text=New%20York%20City%20subway%20fares,fare%2C%20which%20is%20half%20price.) However, it’s worth mentioning that the New York public transport system is know to be inefficient, dirty and overall problematic.
- Water & electricity (263.84$): So on average the newyorker spends 173.84$ on electricity (https://patch.com/new-york/larchmont/here-s-how-much-utilities-cost-new-york-residents)
Combining data from NYC government (https://www1.nyc.gov/site/dep/pay-my-bills/how-we-bill-you.page) and the average water usage of American house holds (http://www.keyportonline.com/content/4031/4050/4243/4371.aspx#:~:text=The%20average%20person%20uses%20from,2%2C430%20cubic%20feet%20per%20person.), the average cost of water will be around 90$.
- Communication (75$): the average cell phone cost in New York is 75 dollar per month. (https://stefanieoconnell.com/much-need-live-new-york-city/#:~:text=Cell%20Phone%3A%20%2475%2Fmonth,be%20had%20in%20this%20category.)
- Food (750$): food cost ranges person to person, epically considering America’s insanely high diabetic rate of 36%. (https://www.cdc.gov/media/releases/2017/p0718-diabetes-report.html) Thus the cost of food is mostly up to estimations. (https://green-mart.us/product-category/beverages-mixers/) is a good place to start. After some calculation, if I were too cook myself, the average cost would be around 20$/day. While if I were to eat out all month, the price would in increased to 36$/day according to traveling websites. Thus, we take the average and get 25$ per day. 25X30 and we get 750$ spent on food.
The final cost would be 2815.84, which lefts us with 185 dollars for dealing with emergencies. We would be eating just fine. However, with this budget, one is stuck to living with 3 other roommates and having to use the terrible New York public transit every single day.
Shang Hai:
- Housing (1400$): Due to the large population base, we don’t have an exact number on the average rent. However, that won’t stop us from making a budgeted living plan by finding houses online for rental. (https://sh.zu.anjuke.com/fangyuan/1483960300806147?isauction=2&shangquan_id=22039&legoFeeUrl=https%3A%2F%2Flegoclick.58.com%2Fjump%3Ftarget%3DpZwY0ZnlsztdraOWUvYKuaYYrH0Yrjc3ridBnHDQsHELnWDVrHDvnidhPA76uWKWuW9YrjmKPH9dnWELnHDvP1EvPjEKTHDYrjnOPWT1njT3njmQPj0KP10knTDLP1TkTHD_nHTKn9DQPHb3njN3njnYrjT1THcKwbnVNDnVENGssXXMMSpcfzLMoufG9cM-BFxCCpWGCUNKnEDQTEDVnEDKnHcOPWbLPjnYn1ndPHNQrjbLP9DvTyGGmNI-rWDknjKxnHNknTDQTHc3m1EvuWNYsyNzPj0VPjDvPaYOuWbvsynkmyPhuHFBnHR6rEDQnWbvrH0Yn1E1Pj9dPHnknHDzTHDzrHmOP1E1PjnYnHTkPjEOnW9KTEDKTEDVTEDKpZwY0Znlszq1paOlIiO6UhGdpvN8mvqVsvu6UhIOIy78sLGJnHTzsk7jE1PjrDNvnBdDnYD1sNNknbDVwHEQPidDPNPanDnYP1RjPDDKP1T8P1D8nHTdsWEzTHTKnTDKnikQnE7exEDQnjT1P9DQnjTQPWmdTH7hm1TQuWbYsHTvrAmVPj93uBY3nAEYsHwWmW9YPjTzmhmzrEDKPTDKTHTKnBkQPjDQsjcznjnOTHDKUMR_UTDYP16BmyDOPHEYnWuBPWPb&lego_tid=1fc01f94-068f-488f-80d4-4cb84402bf29&from=Filter_2&hfilter=filterlist) Here’s a very lovely house I’ve found for 1400, you get to not only live alone, but it also comes with your own kitchen and bathroom. And it’s also insanely close to the public transport system.
- Health Care (20$): The annual fee is around 250$ for health care in China.
- Transport (100$): Since the month pass got canaled, transport fee depends from person to person. Assuming we don’t work on the other side of the city, averagely 100$ would be spent per month.
- Water & electricity (200$): Judging from official numbers (https://www.sohu.com/a/296444679_667422)
The cost would be around 200$ maximumly for a single person.
- Communication(38$): you can get a cell phone plan for 18$ (https://zhidao.baidu.com/question/1767039690840279060.html) being generous we will go with the 38$ plan.
- Food (900$): Food cost in Shang Hai is a very hard number to measure. Assuming we are going full luxury, 900$ would get you covered for a month.
The total cost would end up around 2620$. With 380$ to spare. And not only do you get an entire apartment all to your self, you also get plenty of money left over to spend.
Now this comparison can be unfair due to the population of Shang Hai and New York, but it’s still astonishing how despite dollar being almost 7 times more valuable than yuan, yuan still holds just as much purchasing power in China. Not only do you get apartment all to yourself in Shang Hai (unlike newyork where you’ll end up with 3 room mates), you also save a lot more.
submitted by Bolshevik-Blade to Sino [link] [comments]

To those who just started

Hey, I hope you're doing well. Forex market gives you all sorts of emotion at the start. You'll learn to not feel anything in your journey.
The reason I wrote the post is to give some tips, see I started not too long ago and found out some tips that would have saved me from blowing my account.
1) Don't bet against the market, you aren't pro yet like in the Big Short. Trade the trends.
2) Price actions matters most, technical analysis and fundamental analysis are good tools but what's telling you what is the charts.
3) Use ATR (average true range) to determine how many lots you want to allocate. Also don't forget to calculate the price per pip.
4) Don't trade on public holidays. Most heavy movers are not there so the market tend to have very high spreads. This will eat you up unless you know what you're doing and your stop loss is very strong.
5) When you have bad trade days, quit trading. Don't chase it. I know this feeling man, it sucks. But you have to accept the error and learn from it. Trade when everything is in your favor.
6) Don't get overconfident just because you're ahead! Protect your wins at all costs. Sometimes it's better not to trade. You do not have to trade daily, while the idea of making money everyday sounds cool realistically some days you will be sitting in front of screen planning your next trade.
7) This one is something you might already know, don't ever sell low and buy high. It works sometime but you are giving yourself a huge risk. And your stop loss will likely hit, basically wasting good money.
8) Take your wins, don't get too greedy. Currencies are correalated with one another, check the health of the trend if it starts slowing down you might want to take your profits.
9)Don't put too much pressure on yourself, you will get there. You will learn and be successful how you want. Don't rush, don't over trade.
That's all that I can think of. Personally, I have blown 2 live accounts with thousands in it. Right now I am seeing profits consistently, but it wasn't easy. It's hard to win back your losses, so cut them off when you can. And don't hold on to them! Never put your hard earned money hoping for someone else to move the trend. Ride the trend, respect it and enjoy your winnings.
I hope this helps you out, from the bottom of my heart. To my senior traders, please feel free to give me further advice. I am always looking to learn and improve.
Good luck and stay safe!
submitted by adric_debeatz to Forex [link] [comments]

Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

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

Stock Market Crash

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

Economic Analysis of Bitcoin

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

Trading or Investing?

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

Technical Indicator Analysis of Bitcoin

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

Trend Definition Analysis of Bitcoin

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

Time Symmetry Analysis of Bitcoin

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

What is Forex?

Forex is the short way of saying “Foreign Exchange”. This means the global market for exchanging international currencies, also known as the FX market. When someone prices or exchanges a currency against another, the exchange rate is best on the particular forex trading pair (i.e., both currencies involved in the pair).
Currency pairs are typically priced out to four decimal places, depending on the currency denomination, where one ten-thousandth of a unit of currency is known as a pip (i.e., 0.0001 unit), which is the smallest price increment (in addition to fractional-pips).
The EUUSD, which is the most widely-traded forex pair, is an example of the Euro (EUR) currency against the US dollars (USD) currency.
When trading one unit of EUUSD, you can calculate the price in USD (i.e., a price of EUUSD 1.3000 indicates $1.30 per euro). Conversely, when exchanging the USD/EUR, each unit of USD (i.e. each dollar) will have the prace of a specific number of euros (i.e., a USD/EUR price of 0.7700 indicates €0.77 per dollar).
A speculator expecting the price of the EUUSD to go up. He will buy the EUUSD pair long (buying a pair to open a trade can be a bullish or long position). Whereas, a speculator anticipating a drop in the price of the EUUSD may sell the pair. (bearish or short position: selling to open a trade).

Largest international market Globally

The forex market is decentralized across the globe. It consists of dealers such as central banks, private and public banks, non-bank intermediaries, brokerages, and large corporations such as insurance giants and other participants engaged in international finance.
The Foreign Exchange market is the largest globally, with nearly $6 trillion in average daily volume traded as of April 2019, according to the latest BIS Triennial Survey of Central Banks.
The FX market suffers the influence mainly by each government’s monetary policy, the supply, and demand of the global economy. As well as international trade agreements, and users and suppliers of currencies (hedgers), in addition to speculators.

Market integrity and progress

While there have been cases of forex market manipulation by the biggest banks and dealers in the past, the amount of influence any one entity can have on the prices of major currencies is negligible. This resistance to serious manipulation risk is due to the enormous amount of trading and resulting liquidity available.
The FX Market itself has high price integrity. Because it is an electronic market, efficient and with a certain size. Participants must still adhere to best practices.
Efforts such as the Global FX code were launched to encourage forex dealers to uphold the best-execution where the best price available is given to traders.
These efforts are why the spreads and trading commissions continued to improve over the years, as the FX market evolved. In addition, regulators have competed to increase local market integrity and efficiency by creating more strict regulations. These come from the top-tier financial centers such as the US, UK, Singapore, Japan, Australia, among other advanced economies.

Investing and trading in the forex market

As an asset class, Forex is well-established and offered by many regulated brokerages from within a margin account.
The use of leverage is what makes forex trading more risky than non-margin investing.
Margin-based trading used by investors as well as self-directed traders and fund managers, thanks to the range of risk-management tools available within forex trading platforms (mobile, web, and desktop software). Wiseinvest provides trading signals with risk-management.

Forex market research and analysis

There are two primary ways for traders to assess and identify trading opportunities in the forex market.

Advanced forex trading strategies and algorithms

The foundation of successful trading in the forex market is having a trading strategy. It’s based on a specific methodology that best suits your trading needs. Strategies could be manual, automated, or a combination of both.
Over the past decade, there has been a proliferation of automated trading strategies made available for retail traders.
And while there are many serious traders with established track records for their trading systems, there are many more low-quality trading systems falsely marketed as high-quality by overly eager affiliates, making it harder for investors to navigate the market for trading signals.
There has also been an increase in the social copy trade. Where an operator can mimic other operators’ businesses in real time.
Whether using a copy-trading platform or an automated trading system, in almost all cases, this type of investing is considered self-directed and doesn’t require a power-of-attorney or another third-party money manager to handle your account.
Unlike other copy and social trading platforms, Wiseinvet’s AI has the ability to execute a huge set of market data. It does by combining technical and fundamental analysis. This strategy can increase the accuracy of trading signals.

Self-directed forex investors

Compared to investing in a managed fund, there is greater responsibility. Traders put it on self-directed traders who use trading systems. A self-directed trader should conduct more detailed due diligence. It can avoid falling for the countless low-quality trading systems that exist on the internet.

There are no guarantees that a strategy will perform well. But conducting proper due diligence can help traders assess various trading systems. They consider using them to aid their trading or investment strategy.
submitted by Wiseinvest-ai to u/Wiseinvest-ai [link] [comments]

3.3 How to implement strategies in M language

3.3 How to implement strategies in M language

Summary

In the previous article, we explained the premise of realizing the trading strategy from the aspects of the introduction of the M language , the basic grammar, the model execution method, and the model classification. In this article, we will continue the previous part, from the commonly used strategy modules and technologies. Indicators, step by step to help you achieve a viable intraday quantitative trading strategy.

Strategy Module


https://preview.redd.it/a4l7ofpuwxs41.png?width=1517&format=png&auto=webp&s=3f97ea5a7316edd434a47067d9b76c894577d01d

Stage Increase

Stage increase is calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. For example: Computing the latest 10 K-lines stage increases, can be written:
1234
CLOSE_0:=CLOSE; //get the current K-line's closing price, and save the results to variable CLOSE_0. CLOSE_10:=REF(CLOSE,10); //get the pervious 10 K-lines' closing price, and save the results to variable CLOSE_10 (CLOSE_0-CLOSE_10)/CLOSE_10*100;//calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. 

New high price

The new high price is calculated by whether the current K line is greater than N cycles' highest price. For example: calculating whether the current K line is greater than the latest 10 K-lines' highest price, can be written:
12
HHV_10:=HHV(HIGH,10); //Get the highest price of latest 10 K-lines, which includes the current K-line. HIGH>REF(HHV_10,1); //Judge whether the current K-line's highest price is greater than pervious K-lines' HHV_10 value. 

Price raise with massive trading volume increase

For example: If the current K line's closing price is 1.5 times of the closing price of the previous 10 K-lines, which means in 10 days, the price has risen 50%; and the trading volume also increased more than 5 times of the pervious 10 K-lines. can be written:
1234567
CLOSE_10:=REF(CLOSE,10); //get the 10th K-line closing price IS_CLOSE:=CLOSE/CLOSE_10>1.5; //Judging whether the current K Line closing price is 1.5 times greater than the value of CLOSE_10 VOL_MA_10:=MA(VOL,10); //get the latest 10 K-lines' average trading volume IS_VOL:=VOL>VOL_MA_10*5; //Judging whether the current K-line's trading volume is 5 times greater than the value of VOL_MA_10 IS_CLOSE AND IS_VOL; //Judging whether the condition of IS_CLOSE and IS_VOL are both true. 

Price narrow-shock market

Narrow-shock market means that the price is maintained within a certain range in the recent period. For example: If the highest price in 10 cycles minus the lowest price in 10 cycles, the result divided by the current K-line's closing price is less than 0.05. can be written:
1234
HHV_10:=HHV(CLOSE,10); //Get the highest price in 10 cycles(including current K-line) LLV_10:=LLV(CLOSE,10); //Get the lowest price in 10 cycles(including current K-line) (HHV_10-LLV_10)/CLOSE<0.05; //Judging whether the difference between HHV_10 and LLV_10 divided by current k-line's closing price is less than 0.05. 

Moving average indicates bull market

Moving Average indicates long and short direction, K line supported by or resisted by 5,10,20,30,60 moving average line, Moving average indicates bull market or bear market. can be written:
123456
MA_5:=MA(CLOSE,5); //get the moving average of 5 cycle closing price. MA_10:=MA(CLOSE,10);//get the moving average of 10 cycle closing price. MA_20:=MA(CLOSE,20);//get the moving average of 20 cycle closing price. MA_30:=MA(CLOSE,30);//get the moving average of 30 cycle closing price. MA_5>MA_10 AND MA_10>MA_20 AND MA_20>MA_30; //determine wether the MA_5 is greater than MA_10, and MA_10 is greater than MA_20, and MA_20 is greater than MA_30. 

Previous high price and its locations

To obtain the location of the previous high price and its location, you can use FMZ Quant API directly. can be written:
123
HHV_20:=HHV(HIGH,20); //get the highest price of 20 cycle(including current K line) HHVBARS_20:=HHVBARS(HIGH,20); //get the number of cycles from the highest price in 20 cycles to current K line HHV_60_40:REF(HHV_20,40); //get the highest price between 60 cycles and 40 cycles. 

Price gap jumping

The price gap is the case where the highest and lowest prices of the two K lines are not connected. It consists of two K lines, and the price gap is the reference price of the support and pressure points in the future price movement. When a price gap occurs, it can be assumed that an acceleration along the trend with original direction has begun. can be written:
12345678
HHV_1:=REF(H,1); //get the pervious K line's highest price LLV_1:=REF(L,1); //get the pervious K line's lowest price HH:=L>HHV_1; //judging wether the current K line's lowest price is greater than pervious K line's highest price (jump up) LL:=H1.001; //adding additional condition, the bigger of the price gap, the stronger the signal (jump up) LLL:=H/REF(L.1)<0.999; //adding additional condition, the bigger of the price gap, the stronger the signal (jump down) JUMP_UP:HH AND HHH; //judging the overall condition, whether it is a jump up JUMP_DOWN:LL AND LLL; //judging the overall condition, whether it is a jump down 

Common technical indicators

Moving average

https://preview.redd.it/np9qgn3ywxs41.png?width=811&format=png&auto=webp&s=39a401b5c9498a13d953678c0c452b3b8f6cbe2c
From a statistical point of view, the moving average is the arithmetic average of the daily price, which is a trending price trajectory. The moving average system is a common technical tool used by most analysts. From a technical point of view, it is a factor that affects the psychological price of technical analysts. The decision-making factor of thinking trading is a good reference tool for technical analysts. The FMZ Quant tool supports many different types of moving averages, as shown below:
1234567
MA_DEMO:MA(CLOSE,5); // get the moving average of 5 cycle MA_DEMO:EMA(CLOSE,15); // get the smooth moving average of 15 cycle MA_DEMO:EMA2(CLOSE,10);// get the linear weighted moving average of 10 cycle MA_DEMO:EMAWH(CLOSE,50); // get the exponentially weighted moving average of 50 cycle MA_DEMO:DMA(CLOSE,100); // get the dynamic moving average of 100 cycle MA_DEMO:SMA(CLOSE,10,3); // get the fixed weight of 3 moving average of closing price in 10 cycle MA_DEMO:ADMA(CLOSE,9,2,30); // get the fast-line 2 and slow-line 30 Kaufman moving average of closing price in 9 cycle. 

Bollinger Bands


https://preview.redd.it/mm0lkv00xxs41.png?width=1543&format=png&auto=webp&s=a87bdb4feecf97cbeef423b935860bfea85ffe6d
Bollinger bands is also based on the statistical principle. The middle rail is calculated according to the N-day moving average, and the upper and lower rails are calculated according to the standard deviation. When the BOLL channel starts changing from wide to narrow, which means the price will gradually returns to the mean. When the BOLL channel is changing from narrow to wide, it means that the market will start to change. If the price is up cross the upper rail, it means that the buying power is enhanced. If the price down cross the lower rail, it indicates that the selling power is enhanced.
Among all the technical indicators, Bollinger Bands calculation method is one of the most complicated, which introduces the concept of standard deviation in statistics, involving the middle trajectory ( MB ), the upper trajectory ( UP ) and the lower trajectory ( DN ). luckily, you don't have to know the calculation details, you can use it directly on FMZ Quant platform as follows:
1234
MID:MA(CLOSE,100); //calculating moving average of 100 cycle, call it Bollinger Bands middle trajectory TMP2:=STD(CLOSE,100); //calculating standard deviation of closing price of 100 cycle. TOP:MID+2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it upper trajectory BOTTOM:MID-2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it lower trajectory 

MACD Indicator


https://preview.redd.it/9p3k7y42xxs41.png?width=630&format=png&auto=webp&s=b1b8078325fc142c1563a1cf1cc0f222a13e0bde
The MACD indicator is a double smoothing operation using fast (short-term) and slow (long-term) moving averages and their aggregation and separation. The MACD developed according to the principle of moving averages removes the defect that the moving average frequently emits false signals, and also retains the effect of the other good aspect. Therefore, the MACD indicator has the trend and stability of the moving average. It was used to study the timing of buying and selling stocks and predicts stock price change. You can use it as follows:

DIFF:EMA(CLOSE,10)-EMA(CLOSE,50); //First calculating the difference between short-term moving average and long-term moving average. DEA:EMA(DIFF,10); //Then calculating average of the difference. 
The above is the commonly used strategy module in the development of quantitative trading strategies. In addition, there are far more than that. Through the above module examples, you can also implement several trading modules that you use most frequently in subjective trading. The methods are the same. Next, we began to write a viable intraday trading strategy.

Strategy Writing

In the Forex spot market, there is a wellknown strategy called HANS123. Its logic are basically judging wether the price breaks through the highest or lowest price of the number of K lines after the market opening

Strategy logic

  • Ready to enter the market after 30 minutes of opening;
  • Upper rail = 30 minutes high after opening ;
  • Lower rail = 30 minutes low after opening ;
  • When the price breaks above the upper limit, buy and open the position;
  • When the price falls below the lower rail, the seller opens the position.
  • Intraday trading strategy, closing before closing;

Strategy code

12345678910111213
// Data Calculation Q:=BARSLAST(DATA<>REF(DATA,1))+1; //Calculating the number of period from the first K line of the current trading day to current k line, and assign the results to N HH:=VALUEWHEN(TIME=0930,HHV(H,Q)); //when time is 9:30, get the highest price of N cycles, and assign the results to HH LL:=VALUEWHEN(TIME=0930,LLV(L,Q)); //When time is 9:30, get the lowest price of N cycles, and assign the results to LL //Placing Orders TIME>0930 AND TIME<1445 AND C>HH,BK; //If the time is greater than 9:30 and lesser than 14:45, and the closing price is greater than HH, opening long position. TIME>0930 AND TIME<1445 AND C=1445,CLOSEOUT; //If the time is greater or equal to 14:45, close all position. //Filtering the signals AUTOFILTER; //opening the filtering the signals mechanism 

To sum up

Above we have learned the concept of the strategy module. Through several commonly used strategy module cases, we had a general idea of the FMZ Quant programming tools, it can be said that learning to write strategy modules and improve programming logic thinking is a key step in advanced quantitative trading. Finally, we used the FMZ Quant tool to implement the trading strategy according a classical Forex trading strategy.

Next section notice

Maybe there are still some confusion for some people, mainly because of the coding part. Don't worry, we have already thought of that for you. On the FMZ Quant platform, there is another even easier programming tool for beginners. It is the visual programming, let's learn it soon!
submitted by FmzQuant to CryptoCurrencyTrading [link] [comments]

[educational] Stretgies for day trading based on Technical Analysis

[educational] Stretgies for day trading based on Technical Analysis

1. Breakout

Breakout strategies center around when the price clears a specified level on your chart, with increased volume. The breakout trader enters into a long position after the asset or security breaks above resistance. Alternatively, you enter a short position once the stock breaks below support.
After an asset or security trades beyond the specified price barrier, volatility usually increases and prices will often trend in the direction of the breakout.
You need to find the right instrument to trade. When doing this bear in mind the asset’s support and resistance levels. The more frequently the price has hit these points, the more validated and important they become.

Entry Points

This part is nice and straightforward. Prices set to close and above resistance levels require a bearish position. Prices set to close and below a support level need a bullish position.

Plan your exits

Use the asset’s recent performance to establish a reasonable price target. Using chart patterns will make this process even more accurate. You can calculate the average recent price swings to create a target. If the average price swing has been 3 points over the last several price swings, this would be a sensible target. Once you’ve reached that goal you can exit the trade and enjoy the profit.
https://preview.redd.it/0oj4a1xlvdh31.png?width=773&format=png&auto=webp&s=8f2aa07b0c7caeeb00c4f997c12e814abbd380da

2. Scalping

One of the most popular strategies is scalping. It’s particularly popular in the forex market, and it looks to capitalise on minute price changes. The driving force is quantity. You will look to sell as soon as the trade becomes profitable. This is a fast-paced and exciting way to trade, but it can be risky. You need a high trading probability to even out the low risk vs reward ratio.
Be on the lookout for volatile instruments, attractive liquidity and be hot on timing. You can’t wait for the market, you need to close losing trades as soon as possible.
https://preview.redd.it/dzaf7t1nvdh31.png?width=653&format=png&auto=webp&s=f3d96d74311de806c3809698df2a964e3eb4db5e

3. Momentum

Popular amongst trading strategies for beginners, this strategy revolves around acting on news sources and identifying substantial trending moves with the support of high volume. There is always at least one stock that moves around 20-30% each day, so there’s ample opportunity. You simply hold onto your position until you see signs of reversal and then get out.
Alternatively, you can fade the price drop. This way round your price target is as soon as volume starts to diminish.
This strategy is simple and effective if used correctly. However, you must ensure you’re aware of upcoming news and earnings announcements. Just a few seconds on each trade will make all the difference to your end of day profits.
https://preview.redd.it/z4r2o6covdh31.png?width=600&format=png&auto=webp&s=b054c77c4bc5978821e879eff73d613d728cb0cf

4. Reversal

Although hotly debated and potentially dangerous when used by beginners, reverse trading is used all over the world. It’s also known as trend trading, pull back trending and a mean reversion strategy.
This strategy defies basic logic as you aim to trade against the trend. You need to be able to accurately identify possible pullbacks, plus predict their strength. To do this effectively you need in-depth market knowledge and experience.
The ‘daily pivot’ strategy is considered a unique case of reverse trading, as it centers on buying and selling the daily low and high pullbacks/reverse.
https://preview.redd.it/4ya3txcpvdh31.png?width=776&format=png&auto=webp&s=f40216413b1376b2d6d5a67e4d09057f55be6ba1

5. Using Pivot Points

A day trading pivot point strategy can be fantastic for identifying and acting on critical support and/or resistance levels. It is particularly useful in the forex market. In addition, it can be used by range-bound traders to identify points of entry, while trend and breakout traders can use pivot points to locate key levels that need to break for a move to count as a breakout.

Calculating Pivot Points

A pivot point is defined as a point of rotation. You use the prices of the previous day’s high and low, plus the closing price of a security to calculate the pivot point.
Note that if you calculate a pivot point using price information from a relatively short time frame, accuracy is often reduced.
So, how do you calculate a pivot point?
  • Central Pivot Point (P) = (High + Low + Close) / 3
You can then calculate support and resistance levels using the pivot point. To do that you will need to use the following formulas:
  • First Resistance (R1) = (2*P) – Low
  • First Support (S1) = (2*P) – High
The second level of support and resistance is then calculated as follows:
  • Second Resistance (R2) = P + (R1-S1)
  • Second Support (S2) = P – (R1- S1)

Application

When applied to the FX market, for example, you will find the trading range for the session often takes place between the pivot point and the first support and resistance levels. This is because a high number of traders play this range.
It’s also worth noting, this is one of the systems & methods that can be applied to indexes too. For example, it can help form an effective S&P day trading strategy

6. Moving Average Crossover

You will need three moving average lines:
  • One set at 20 periods – This is your fast moving average
  • One set at 60 periods – This is your slow moving average
  • One set at 100 periods – This is your trend indicator
This is one of the moving averages strategies that generates a buy signal when the fast moving average crosses up and over the slow moving average. A sell signal is generated simply when the fast moving average crosses below the slow moving average.
So, You’ll open a position when the moving average line crosses in one direction and you’ll close the position when it crosses back the opposite way.
How can you establish there’s definitely a trend? You know the trend is on if the price bar stays above or below the 100-period line.

the source : https://www.daytrading.com/strategies
submitted by JalelTounsi to ethfinance [link] [comments]

r/Stocks Technicals Tuesday - Dec 25, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

r/Stocks Technicals Tuesday - Nov 27, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

r/Stocks Technicals Tuesday - Dec 11, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

r/Stocks Technicals Tuesday - Dec 04, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

r/Stocks Technicals Tuesday - Dec 18, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

GBP/USD Technical & Sentiment Analysis (16 Feb 2014)

Hey guys. I don't usually do GBP/USD, but it's suddenly become one of the most interesting pairs in my opinion, because I believe some very big moves are afoot. I'm going to mostly be looking at the long term view in the context of market positioning, so this might not be all that helpful for scalpers ;)
I want to start with the Daily FX SSI (Speculative Sentiment Index) reading for GBP/USD, which is quite something: http://i.imgur.com/pFcbIij.png (© 2014 DailyFX)
There are 9 traders short for every one long. Basically the entire retail crowd is betting against the trend. This means that the majority of orders in the market will be stop losses near current levels.
Also worth a watch is John Kicklighter's video for the week, focusing on the S&P and GBP/USD: http://www.dailyfx.com/forex/video/daily_news_report/2014/02/14/Forex_Weighing_Reversals_for_SP_500_USDollar_GBPUSD.html
For those new to this kind of thing, sentiment analysis is just analysis using what you can know about market positioning, and how the market generally "feels" about a currency pair. Usually SSI gives quite reliable indications of when a trend will continue, because the majority of retail traders will start betting against it. Their stops add fuel to the fire when it continues. (This is also why I'm short AUD/USD - 2 traders long to every 1 short. Not extreme yet, but it means there are lots of stops below).
Before I get into too much detail there, here's the weekly chart: http://i.imgur.com/Ef4VRQf.png
(Yes I'm long)
I've put some tentative levels there, but I'll do more precise ones in a minute. As you can see, price is breaking out of a long term wedge. It hasn't quite cleared the range yet, and 1.700 is a massive wall to get over. There will be enormous interest at this level, not to mention some extremely large option barriers.
But I think it will break it eventually. Why I think it will go higher? Well, market positioning for one, but also this:
http://www.cityindex.co.uk/market-analysis/market-news/24551832014/sterling-at-fresh-3-year-highs-eyes-more-gains/?cid=0000215115
Good analysis piece pointing out that GBP/USD is only about 6% away from the 200WMA. Deviations from this average have historically been much larger. Since price is clearly moving away from this level, I believe we can expect quite a large move as the market unwinds its short positioning.
A look at Oanda's orderbook (or the order boards posted at ForexLive) can give us a more precise view of where these orders are sitting:
http://i.imgur.com/FEn4h3O.png
Current Positioning & Open Orders
As you can see the market is severely short, mostly from the last 100 pips or so. 1.6600 is an area where a lot of positions, both long and short, were established.
There are clusters of buy stops above 1.6700 (small), 1.6750 (bigger) and then above 1.6900 there are two large clusters of buy stops.
Further, there are more buy stops above current price than there are sell orders, meaning that there is ample room for price to continue higher. They're mixed in with some mid-weight sell orders around 1.6800, so this is a level that should provide resistance.
Going a bit lower, we find that bids (both those wanting to initiate new positions and those wanting to take profits on short positions) should provide extreme levels of support.
These are in at about every 10-15 pips between 1.6600 and 1.6500, with the largest cluster being at 1.6500. Going on this alone, buying any dips below 1.66 looks really good.
Beware the retracement
Bear in mind that there are sell stops below 1.6700 - these are the weaker longs or those wishing to enter short on a break below the figure. These could accelerate a correction down to 1.6650 quite quickly.
Here's the 4hr chart, with the largest bids and offers put in. You'll notice that they line up quite nicely with just about any other method of calculating S&R. Dashed lines are larger orders, dotted ones smaller. The big box is where there are too many orders to make lines for :P
http://i.imgur.com/C1htngr.png
Hopefully that's helpful.
Now, there's also a fundamental component to consider. The UK's recovery is looking fairly solid, while the market is very quickly losing its patience with the greenback. Over the last quarter my bullish USD bias has evaporated, as it was predicated on the market not having priced in the full effects of the taper. Now that it appears this is not the case, I have no choice but to change my USD bias to neutral/bearish. The recent soft data also indicates that the recovery is lagging that of the UK's quite badly. The market's reaction to positive US data is generally muted, and when something can't rally on good news, it's usually bad news.
Another thing to note is that the DJ FXCM Dollar Index declined throughout the last dip and recovery in the S&P - one of the longest sustained bearish moves in history. It was only half the magnitude of the other declines of this length, but most other 6-7 day consecutive declines in the dollar have preceded much greater bear waves, not recoveries. The logical thing to do is to look for a USD bounce and sell it.
We need look no further than the S&P to see what's happening here:
http://i.imgur.com/YrCT8tA.png (4hr chart with GBP/USD overlaid in white)
Sterling not quite a safe-haven yet. If 1850 goes in S&P, expect GBP/USD to continue higher. However, Daily RSI on both is currently showing bearish divergence (shown on charts - it's a daily RSI despite it being a 4hr chart)
This means that we might head slightly lower before bouncing. Trend line support for the S&P comes in at around 1775, which would imply quite a serious fall in Cable before buyers really step in.
The level I really like? 1.6475 There is a large cluster of buy orders just below 1.6500, which I believe is where the smart money is looking to enter. This move would flush out a lot of weak longs, leaving plenty of space for new positions. Sellers will also be taking a lot of profits off here, giving us a very good chance of a bounce. From there all it will take is a move back above 1.660 to really get moving.
So longer term I would look to start long positions between 1.6600 and 1.6475, with stops below 1.6250 or the 100DMA
Targets would be completely open. I will look to exit the position if and when speculative sentiment drops back to more natural levels, or perhaps even reverses. Stops will be trailed to lock in profit, but not aggressively.
submitted by NormanConquest to Forex [link] [comments]

[Graph] Krugman's "Bitcoin is not a stable store of value" debunked.

I decided to utilize historic values to examine Krugman's statement:
To be successful, money must be both a medium of exchange and a reasonably stable store of value. And it remains completely unclear why BitCoin should be a stable store of value.
No one will deny that Bitcoin is currently extremely volatile. This is not an examination of that point. This is focused purely on the question of whether, historically, Bitcoin has proven to be a good store of value. No one can predict the future, so the best we have is historical data.
This is particularly of interest to me, give the recent tumble in Bitcoin price, as well as recent reports of the third worst collapse of the dollar in the past decade.
Methodology
To examine the quality of Store of Value, I examined the historical prices of seven different assets. I envisioned a buyer of the asset purchasing it on a given day, and holding it for some length of time (X), ranging between one day and about 3.5 years (which is all the data we have for Bitcoin).
The measurement is this: if you choose a random day to buy the asset, and you buy it at the mid-point price that day, and hold it for X days, what is the probability that it will still have 100% of its value after X days. It seems like a reasonable assumption is that an asset that is a good store of value would perform well in this scenario, and retain 100% of its value a high percentage of the time.
The seven assets were:
  1. Bitcoin purchased on Bitstamp. Data provided by BitcoinCharts.
  2. Bitcoin purchased on Mt. Gox. Data provided by BitcoinCharts.
  3. Bitcoin Freely Exchangeable: For this measurement, I used Mt. Gox prices as mentioned above, until May 13, 2013 (the day before the US Government seized funds), and Bitstamp prices since then. This is an attempt to eliminate the odd pricing on Mt. Gox due to the withdrawal challenges.
  4. The Dow Jones FXCM Dollar Index, data provided by Google Finance. The data for this index was available going back to 4/18/2011. It's an index of the dollar, presumably comparing to other currencies. (This may be mislabeled, calling it a fund. Not sure.)
  5. Spider Gold Shares GLD, an ETF for Gold. Data provided by Yahoo Finance. This data goes back to 11/18/2004.
  6. Spider Gold Shares GLD, for the period that Bitcoin has been traded. Same data source as #5, but a subset of the data.
  7. The US Dollar (1914-2013), reflecting the US monthly inflation rates. This data was provided by usInflationCalculator.com.
In all cases, I used the average of the daily high and the daily low, when available. In the case of the Dollar (1914-2013), I used monthly inflation rates.
In all cases, I set the purchase date to one of the days that the asset was traded. In the case of the Dollar (1914-2013), I utilized the first of the month. And I set the ending valuation date as the next time the asset traded, after X days elapsed. In the case of the Dollar (1914-2013), this would be the first of some future month, after X days had passed.
Results
Here's the Graph.
The best performing asset was buying Bitcoins on Bitstamp. In all cases historically, if you held the asset for 274 days, the asset was still worth 100% of your original investment.
Mt. Gox and the Freely Exchangeable Bitcoin measurements were similar: After 622 days, 100% of the time, your original invested value was retained.
The Dollar fund (index, actually) underperformed all Bitcoin options, when measuring periods less than 243 days. But for periods of between 471 days and 1033 days, 100% of the time, the dollar fund retained its complete value. (No data for periods longer than 1033 days).
The Gold ETF underperformed Bitcoin, whether you looked at the period of Bitcoin being on the market, or the life of the ETF.
And, no surprise, the dollar as measured by inflation, came in dead last. In the past 100 years, it has only retained its value month-over-month about 15% of the time. And the longer you held it, generally, the worse off you were.
All data is available at the sources above, and the computations are available.
The graph of the results is licensed for you to use widely with attribution.
I hope this helps when you are talking to the Krugmans of the world.
(Edit: it's -> its)
submitted by E-GovLink to Bitcoin [link] [comments]

Learn Forex - Average True Range - ATR - YouTube How to Trade - Currency Average Daily Range - Basic Forex Trading With Average Daily Range And Median Price ... ATR (AVERAGE TRUE RANGE) MADE SIMPLE ☝ - YouTube Forex Daily Range Calculator  Forex Help BD Day Ranger  Average Range Indicator for NinjaTrader Forex Trading - Trade Within The Average Daily Range - YouTube

Average Daily Range - V4.01.mq4 14 KB 1,331 download Uploaded Aug 2, 2020 5:09am Average Daily Range - V4.01.mq5 18 KB 569 downloads Uploaded Aug 7, 2020 7:42am Have a nice day The Average Daily Range Pro Calculator may be a skilled mercantilism tool completely developed by CompassFX for the MetaTrader four.0 platform. Average Daily vary may be a “gauge” of the most quantity of daily market movement which might be moderately expected. The ADR Calculator provides valuable market knowledge in period at a look ... The Forex Volatility Calculator tool generates the daily volatility for major, cross, and exotic currency pairs. The calculation is based on daily pip and percentage change, according to the ... Average Daily Range Calculator. To calculate the average daily range of a currency pair, traders follow several steps. First, they open the daily chart. Second, they look at the previous days and find the highest and lowest values. Finally, they average the outcome. Of course, no one does that today. Nowadays, computers do everything. How to uninstall Forex Average Daily Range Pro Calculator Indicator? To shut down an indicator, one has to remove it from the chart. At that, its drawing and recalculation of its values will stop. To remove an indicator from the chart, one has to execute its context menu commands of “Delete Indicator” or “Delete Indicator Window”, or the chart context menu command of “Indicators List ... Average Daily Range Pro Calculator.Mq4 February 17, 2017 Written by Trader Forex Today’s page might examine that awesome oscillator together with ways to that guage to your great advantage to produce even more pips! Forex Calculator. Currency Converter; Camarilla Calculator; Pivot Point Calculator; Fibonacci Calculator; Trading Styles. Price Action; Renko Charts; Binary Option Systems; Meta Trader 5; Expert Advisors; Forex Fun ; Reviews; Cryptocurrency New; Random Article. Average Daily Range Calculator. January 21, 2014 in . Average Daily Range Calculator. Comments. comments [Heateor-SC] Previous ... Average Daily Range Pro Calculator Indicator shows following information at the MT4 chart: ADR pips for several period, today high, today low, ADR high, ADR low, pips to today high, pips to today low, pips to ADR high, pips to ADR low, daily high low, weekly lines. Download Average Daily Range Pro Calculator Indicator: Average Daily Range Pro Calculator Indicator. Related: Download Forex Quote ... FWIW - if you are calculating ATR based on daily range values over an average month, you should probably use 20 bars (if you like the notion of 4 week "months") or 21 or 22 bars (unless you are calculating off MT4 & it's extra sunday bar...). The reason for the 21/22 bars is that there are 4.33 weeks in an average month, and each week has (usualy) 5 trading days, so the result is 21.65 daily ... Average Daily Range Pro Calculator Metatrader 4 Indicator. This indicator measures the average daily range (volatility) for the following time periods: 5 days, yesterday, weekly, monthly and 180 days. Just install it into the Metatrader 4 indicators folder and put it to work. Works on all currency pairs. It also shows you today’s high and low ...

[index] [21076] [29271] [17324] [26438] [25346] [17238] [7592] [8072] [10574] [27666]

Learn Forex - Average True Range - ATR - YouTube

#DailyPipTalk #LondonBreakoutTrading #ForexTradingTips Forex Trading With Average Daily Range And Median Price Levels Pt 2 We can use the average daily range... Day Ranger allows you to easily calculate the average true range of what's on your chart. It gives you the trend of that instrument, allowing you to track where in the trend you are. Day Ranger ... Forex Daily Range Calculator Forex Help BD আমার দেখা সবথেকে ভাল ব্রোকার হলঃ XM : https://goo.gl/2pRPu5 ICmarkets : https://goo.gl/g4NYLQ ... Learn what is Average True Range and how to use this indicator in your trading. Learn more about forex trading at https://www.youtube.com/ukspreadbetting Fol... ATR (Average True Range) Explained http://www.financial-spread-betting.com/course/technical-analysis.html Check Mark's Premium Course: https://price-acti... How to trade Forex Using Average Daily Range - Duration: 3:07. Forex Source 1,147 views. 3:07. Trade Setup Using Average Daily Price Range - Duration: 9:08. trader2B Proprietary trading 3,840 ... Hello there, Did you know that most currencies will trade at a statistical average each and every day. My strategies and custom indicators will teach you how...

http://binaryoptiontrade.thyidisquivorata.ml