Moving Average Crossover FOREX.com

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]

How to Trade the Fisher Transform Indicator

One of the good things about trading is that everybody can have their own unique style. albeit two different trading styles conflict, it doesn’t mean that one strategy is true and one is wrong.
With thousands upon thousands of stocks to settle on from, there’s always an abundance of effective ways to trade.
Technical analysis is usually lumped together into one specific style, but not all indicators point within the same direction.
We’re all conversant in commonly used technical concepts like support and resistance and moving averages, alongside more refined tools like MACD and RSI.
No single indicator may be a golden goose for trading profits, but when utilized in the right situations, you'll spot opportunities before the bulk of the gang .
One technical trading indicator that tends to fly under the radar is that the Fisher Transform Indicator.
Despite its lack of recognition , the Fisher Transform Indicator may be a useful gizmo to feature to your trading arsenal since it’s fairly easy to read and influence .
What is the Fisher Transform Indicator?
One of the best struggles in marketing research is the way to affect such a lot of random data.
The distribution of stock prices makes it difficult to locate trends and patterns, which is why technical analysis exists within the first place.
Hey, if the trends were easy to identify , everyone would get rich trading stocks and therefore the advantage provided by technical analysis would be whittled away.
But since technical trends are difficult to identify with an untrained eye, we believe trading tools just like the RSI and MACD to form informed decisions.
The Fisher Transform Indicator was developed by John F. Ehlers, who’s authored market books like Rocket Science For Traders.
Visit Equiti Forex
The Fisher Transform Indicator attempts to bring order to chaos by normalizing the distribution of stock prices over various timeframes.
Instead of messy, random prices, the Fisher Transform Indicators puts prices into a Gaussian Gaussian distribution . you would possibly know such a distribution by its more commonly used name – the bell curve.
Bell curves usually want to measure school grades, but during this instance, it’s wont to more neatly smooth prices along a selected timeline.
Think of stock prices like players on a five – if you organize everyone during a pattern by height, you’ll have a way better understanding of the makeup of the team.
So what does the Fisher Transform Indicator look for? Extreme market conditions.
Unlike other trading signals where many false positives are delivered on a day to day , this indicator is meant to pop only during rare market moments.
By utilizing a normal distribution , much of the noise made by stock prices is ironed away.
Despite the complex mathematics, Fisher Transform tends to offer clear overbought and oversold signals since the extremes of the indicator are rarely reached.
How Can Traders Utilize the Fisher Transform Indicator?
One of the advantages of the Fisher Transform Indicator is its role as a number one indicator, not a lagging indicator.
Lagging indicators tend to inform us of information we already know. a number one indicator is best at remarking potential trend reversals before they occur, not as they’re occurring or after the very fact .
There are two main ways to trade the Fisher Transform Indicator – a sign reversal or the reaching of a particular threshold.
For a sign reversal, you’re simply trying to find the indicator to vary course.
If the Fisher Transform indicator had been during a prolonged upswing but suddenly turned down, it might be foreshadowing a trend reversal within the stock price.
On the opposite hand, the Fisher Transform Indicator might be used as a “breach” indicator for identifying trade opportunities that support certain levels.
A signal line often accompanies the Fisher Transform Indicator, which may be wont to spot opportunities in not just stocks, but assets like commodities and forex also .
Examples
Alphabet (NASDAQ: GOOGL)
Google has been one among tech’s best stay-at-home plays during the coronavirus pandemic, but you wouldn’t have thought that back in late March when shares cratered down near the $1000 mark.
A bounce eventually came, but the stock didn’t rebound quickly.
However, the Fisher Transform Indicator provided a playbook for the stock beginning in February.
The extreme boundary was reached around the same time because the market was high, offering a sell signal before the top of the month. because the shares fell, the Fisher Transform Indicator moved right down to the boundary and bottomed before the stock.
Buying when the indicator eclipsed the signal line in mid-April would have allowed you to catch most of the rebound.
Nikola Corporation (NASDAQ: NKLA)
Before becoming marred in controversy, Nikola Corporation was the most well liked stock of summer 2020.
The obscure car maker was toiling within the $10-12 range before exploding higher in June.
And I don’t mean just a fast double or triple up – Nikola reached a high of $93 before the music stopped.
When a stock goes parabolic, one among the toughest things to work out is when to require profits and bail.
Nikola was a cautionary tale since the corporate seemed pretty shady from the beginning , but traders using the Fisher Transform Indicator got a sign that the highest was in before the stock began its quick descent backtrack .
The June high coincided with the Fisher Transform Indicator reaching its highest level since December of 2019, a sign that sounded the alarm for observant traders.
submitted by equiti-me to u/equiti-me [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]

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]

A Beginner's Guide to Moving Averages

Using Moving Averages to Determine Momentum

Moving averages are one of the most popular and commonly used indicators in technical analysis.
There are many on-line resources that explain for learning about moving averages. What they do. How they do it. Theories, studies and strategies based on them. Learn the basics about them from Babypips here.

Types of Moving Averages

  1. Simple Moving Average (SMA)
  2. Exponential Moving Average (EMA)
  3. Smoothed Moving Average (SMMA)
  4. Linear Weighted Moving Average (LWMA)
Learn more about these in-depth here.

Basic Moving Averages Concepts

200 Simple Moving Average.

Many traders use moving averages to help to determine the strength of a trend, and the current market momentum. The most commonly used moving average is probably the 200 SMA. Large and small investors alike are liable to have a 200 SMA on their charts. Here are some rules of thumb using the 200 SMA.


Fast Exponential Moving Average Crossovers.

Fast EMA crossover systems use faster EMAs. They look for them crossing over each other to signify there in a switch in momentum in the market. Commonly used are the 5 and 8 EMAs (some people prefer to use SMAs). Fast EMA crossovers can help to give early indications of a reversal in price.

(Please note, this is very much a trend based strategy and will not do well when the market is ranging)

In the example pictured, I have highlighted some of the areas in which we seen EMA crosses and the market reversing shortly thereafter.

https://preview.redd.it/639lyinhl6621.png?width=421&format=png&auto=webp&s=a5d3468a3b57c2d490bb75162076b0f59b94f14c
This method is also useful for staying in a good trade, waiting until the fast EMAs cross each other before exiting winning positions.

Triple (and above) SMA Systems

Multiple moving averages can be used together to give you an idea of how strong a trend is and crossovers of muliple moving averages can also be significant. The trend momentum of the recent trend can be show by the spacing of the moving averages relative to each other. If they are well spaced and not all tangled together, we are probably in a strong trending move.

https://preview.redd.it/s7qksc5zl6621.png?width=464&format=png&auto=webp&s=488be46d643bb743d6397ca0275523afd87fd301


This image shows how we’d expect to see the moving averages in a strong down-trend. Spaced apart, few touches/crosses. At other times, we will see the moving averages bunched together and tangled, this indicates a messy and range based market.


https://preview.redd.it/msxaov7em6621.png?width=508&format=png&auto=webp&s=e8d11061ad3d2dca1976aca8684309f7b0c73204
There are many different combinations of moving average periods used to build up these multiple SMA indicators and it is best to play about with them yourself and see what works for you. For a beginners guide, the combination of the 50, 100 and 200 SMAs can be a good place to start with testing out multiple SMAs.

There are many different combinations of moving average periods used to build up these multiple SMA indicators and it is best to play about with them yourself and see what works for you.
For a beginners guide, the combination of the 50, 100 and 200 SMAs has been used for a long time by many traders.

submitted by inweedwetrust to Forexnoobs [link] [comments]

Feedback on Trading System

I built a forex trading strategy recently for a friend, and wanted to share it / get some feedback on it, as most of the systems I build trade stocks and are more fundamental/macro based!
The system was inspired by this forexfactory post: https://www.forexfactory.com/showthread.php?t=343533 but I've made a few changes.
The Filter:
I didn't like the proposed TMA slope indicator as the calculation and cutoff values seemed too arbitrary to me, so I take the 5 bar ROC of an EMA and smooth it. I divide this value by its standard deviation to scale it for higher timeframe analysis. I take the value of this adjustedSlope at the 4H, 1D, 1W timeframes, and sumproduct them with weights of 40%, 30%, 30% to give a little more strength to recent movements. I call this the overallSlope (for future reference).
I describe the the market regime under these rules:
(overallSlope > overallSlope[1] and overallSlope > 0) = bullish
(overallSlope < overallSlope[1] and overallSlope < 0) = bearish
(overallSlope > overallSlope[1] and overallSlope < 0) = neutral
(overallSlope < overallSlope[1] and overallSlope > 0) = neutral
Just like the system from ForexFactory, only long trades can be taken if its bullish, only short trades can be taken if its bearish, and either trade can be taken if its neutral.
The Setup:
I believe this portion is identical to the original stated system. Take the 50 bar Triangular Moving Average on the 4H timeframe, where the UpperBand is TMA + (2.5 * H4ATR) and the LowerBand is TMA - (2.5 * H4ATR).
If the market regime is bullish/neutral and the price has traded below the Lower Band then we're setting up for a buy and vice versa with a bearish/neutral market regime and price trading above the Upper Band.
I'm considering switching this to Median Absolute Deviation Bands as I like using the modified Z Score but I'm unsure of applying it directly to a price series instead of indirectly through an indicator or factor, I assume the median isn't very effective due to the actual series drifting, where as its (more) static when applied to Earnings Yield or something.
The Trigger:
For the trigger I'm on the 1H TimeFrame using the MACD histogram crossing 0, but the MACD is based on the Jurik Moving Average instead of the standard. A couple years ago when I first started getting into programming and playing forex, the JMA was something I stumbled on and wrote up and I really like it, it's very effective and smoothing a series, allowing the use of shorter lookback values without the MA being too "jittery".
Exits:
On the losing side, at open a stop loss is placed at (2 * H4ATR) below(above) the low(high) if we're going Long(Short). I'm currently split between two exits on the profit side. Right now my current exit criteria for a hypothetical long position is a bearish MACD Histogram crossover while we are above the TMA (the "midline"). The other strategy I'm considering is half off at the midline and the other half off at the Upper Band, but I think this isn't great because it can reverse and hit the stop effectively nulling the trade.
Risk Management:
For the risk management of the system I'm using position sizes standardized to risk 3% of the account on each trade by calculating how far away the stop is, and scaling the # of units until $risk = AccVal * .03.
Additional Comments:
As of right now I only have it fully coded on TradingView and I've made sure to use open prices for everything to avoid? (not sure if this completely handles this issue, please let me know) lookahead bias and I'm in the process of translating my code into my backtesting system but a lot of what I've built is equity related so I have some work to do to get it running right for forex. In TradingView I have it plot the Entry, Stop, and two targets, and the background shifts based on if it's long/short/flat. https://imgur.com/a/A1UQi04

I look forward to any thoughts or comments y'all may have, thanks for reading!
submitted by ilovemygirlfriend69 to Forex [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]

3 Reasons NOT to Trade on the Foreign Exchange Market

This indicator is generally good at showing areas of possible support and resistance levels. This indicator is primarily used to determine the direction of the trend and smooth out any noise that is caused by price fluctuations. An upward trend is confirmed when the price is above the MA and a downward trend is confirmed when the price is below the MA. MA can also be used to determine the change in trend.

When the price of the market crosses about the MA, the trend has changed to an uptrend. Also, when the price of the market cross is below the moving average, the trend has changed to a downtrend. The one problem with MA is that they do not predict a price but rather they give the current direction of the market with a lag. So the main function of an MA is to smooth out prices and to give the current direction of the trend.

When choosing a business strategy to pursue, you'll have many options to choose from. The currency market is the biggest, most liquid financial market in the world. If you are considering making the plunge into the fast-paced world of Forex trading, see the advice given here. Trading excessively will diminish your credit, but will cause chaos and confusion. Profitable trading generally involves quality, not quantity.

Do not get your emotions involved in your trading transactions. Remain undeterred and focused. Panicking will not help you. Clarity of thought will be the key to success. Once you have your Forex trading strategy down and are comfortable with it, you might want to mix it up by trying the scalping method. A scalping strategy requires you to actively trade in very short time frames.

https://dailytradingschool.com/quantum-code-free-review/

https://dailytradingschool.com/ultralast-xxl-review/

https://dailytradingschool.com/algo-trading-review/
submitted by jesidivi to u/jesidivi [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]

how to use best moving averages forex trading strategies ... Smoothed Moving Average Channel and MACD Tradings System ... Smoothed Hull Moving Average Forex Indicator (ADX) Indicator + Moving Average Forex Trading Strategy ...

Smoothed Moving Average This type of MA takes into account not only the price values within the set period but also some historical data. Although priority is given to the weight of the more recent data, the historical values also affect the final results. This indicator calculates 3 Smoothed moving average for default values of 13, 8 and 5 days, with displacement 8, 5 and 3 days. The most popular method of interpreting a moving average is to compare the relationship between a moving average of the security's price with the security's price itself (or between several moving averages). Moving Average Forex Strategy. Posted on 17.05.2020 by admin. g Average Indicator Determining the Forex market trend is very important for successful trading. Indicators help traders determine the price direction of the market. One of the most commonly used indicators available on Metatrader 4 and Metatrader 5 is the Moving Average. Open your trading account at AvaTrade or try our risk-free ... A Forex moving average crossover strategy signals future support and resistance levels because traders buy after a golden cross and sell after a death one. Especially relevant is the period the moving average considers. As a rule of thumb, the bigger the period, the stronger the support and resistance level is. Hence, many traders sell a spike into SMA(200) for the simple reason that rejection ... A smoothed moving average is a moving average that assigning a weight to the price data as the average is calculated, deals with a longer period, and represents the combination of a simple moving average and exponential moving average. A smoothed moving average does not refer to a fixed period, but rather collects and enrolls all available data from the past. To calculate today’s moving ... Moving averages are among the most searched trading tools on our Forex trading strategy directory.In this article, we will share the top 5 Moving Average forex trading systems for MT4 and MT5 traders.. August 12, 2020, AtoZ Markets – Determining the trend in the Forex market is very important for successful trading. Indicators help traders to determine the price direction of the market. Moving averages are one of the most commonly used technical indicators in the forex market. They have become a staple part of many trading strategies because they’re simple to use and apply. While they’ve been around for a long time, their ability to be easily measured, tested and applied makes them an ideal foundation for modern trading strategies which can incorporate both technical and ... Trading Strategy Concept. The first element in this strategy is the 200 Exponential Moving Average (EMA). This moving average is typically used to determine the long-term trend. This is typically done by determining the location of price in relation to the 200 EMA. If price is above the 200 EMA, then the long-term trend is said to be bullish ... The moving average ribbon can be used to create a basic forex trading strategy based on a slow transition of trend change. It can be utilized with a trend change in either direction (up or down). The Best Forex Scalping Strategy 2020. Forex trading strategies MT4 indicators MT5 indicators . Scalping is a very common trading method among professionals and private traders. This way of speculating is very popular but requires expertise and essential control of one's emotions. If you want to learn more about trading scalping, you have come to the right place. In this article, you will ...

[index] [23515] [21406] [26289] [9119] [5183] [12974] [19186] [12730] [12020] [14990]

how to use best moving averages forex trading strategies ...

how to use best moving averages forex trading strategies Welcome Friends to pakistan 's Biggest Technical Analysis Youtube Channel Our Dream is to make you a... (ADX) Indicator + Moving Average Forex Trading StrategyTwo EMA + ADXBest Strategy What is the ADX indicator? The Average Directional Index (ADX) Indicator,... 100% Successful Technical Strategy How To Earn Profit by Using HULL MOVING AVERAGE TAMILShareCTA - Duration: 9:33. Chennai Trading Academy - CTA 4,249 views 9:33 Visit our site https://forex4newbiesblog.blogspot.com/ Forex price action chart analysis, Forex Strategy, Forex Systems, Forex Signal, MT4 Indicators, MT4 Te...

http://binary-optiontrade.opkunescamptamick.gq