Adaptive Zero Lag EMA [STUDY]A user has asked for the Study/Indicator version of this Strategy .
If you encounter the error "loop....>100ms" simply toggle the eye icon to hide and unhide the indicator
The following is simply quoted from my previous post for your convenience: (obviously there won't be risk, Stop Loss, or Take profit parameters!)
OPERATING PRINCIPLE
The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes.
In fact, I'm using his Zero Lag EMA ( ZLEMA ) as a baseline indicator as well as some code snippets he has made public (1). God bless open source!
Next, I've provided the option to use an Instantaneous Frequency Measurement (IFM) method, which will adaptively choose the best period for the ZLEMA (2)
I've written other studies that use the differential calculus approximations for IFM, so it was only natural to include them in this strategy.
The primary two are Cosine IFM (3) and In-phase Quadrature IFM (4). You can also find an indicator with both plotted and the ability to average them together, as one IFM prefers long periods and the other short. (5)
BEFORE WE BEGIN
1. This strategy only runs on "normal" FX pairs ( EURUSD , GBPJPY , AUDUSD ...) and will fail on Metals or Commodities.
Cryptos are largely untested.
2. Please run it on these time frames: M15 to D.
Anything outside this range will likely fail.
HOW TO USE AND SUCCEED
1. If the Default settings don't produce good results right off the bat, then lower gain limit to 1 or 2 and threshold to 0.01.
2. Test each setting under adaptive method. If you want to leave it Off, then I'd recommend using some kind of IFM (see my links below) to
discover the most efficient period to use.
3. Once you have the best adaptive method chosen, begin incrementing gain limit until you find a nice balance between profit factor ( PF ) and drawdown.
4. Now, begin incrementing threshold. The goal is to have PF above 2 and a drawdown as low as possible.
5. Finally, change the source! Typically, close is the best option, but I have run into cases where high
yielded the highest returns and win rate.
6. Sit back, relax, and tweak the risk until you're happy with the return and drawdown amounts.
ADVANCED
You may need to adjust take profit (TP) points and stop loss (SL) points to create the best entry possible. Don't be greedy! You'll likely have poor
results if the TP is set to 300 and SL is 50.
If you are trading a pair that has a long Dominant Cycle Period, then you may increase Max Period to allow the IFM
to accept longer periods. Any period above the Max Period will be rejected. This may increase lag time!
Cheers and good luck trading!
-DasanC
(1)www.mesasoftware.com
(2)www.jamesgoulding.com
(3) Cosine IFM
(4) I-Q IFM
(5) Averaging IFM
IFM stands for Instantaneous frequency measurement
Cerca negli script per "META股价历史数据"
Adaptive Zero Lag EMA v2This is my most successful strategy to date! Please enjoy and join the Open Source movement by sharing your code and ideas online!
OPERATING PRINCIPLE
The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes.
In fact, I'm using his Zero Lag EMA (ZLEMA) as a baseline indicator as well as some code snippets he has made public (1). God bless open source!
Next, I've provided the option to use an Instantaneous Frequency Measurement (IFM) method, which will adaptively choose the best period for the ZLEMA (2)
I've written other studies that use the differential calculus approximations for IFM, so it was only natural to include them in this strategy.
The primary two are Cosine IFM (3) and In-phase Quadrature IFM (4). You can also find an indicator with both plotted and the ability to average them together, as one IFM prefers long periods and the other short. (5)
BEFORE WE BEGIN
1. This strategy only runs on "normal" FX pairs (EURUSD, GBPJPY, AUDUSD ...) and will fail on Metals or Commodities.
Cryptos are largely untested.
2. Please run it on these time frames: M15 to D.
Anything outside this range will likely fail.
HOW TO USE AND SUCCEED
1. If the Default settings don't produce good results right off the bat, then lower gain limit to 1 or 2 and threshold to 0.01.
2. Test each setting under adaptive method . If you want to leave it Off , then I'd recommend using some kind of IFM (see my links below) to
discover the most efficient period to use.
3. Once you have the best adaptive method chosen, begin incrementing gain limit until you find a nice balance between profit factor (PF) and drawdown.
4. Now, begin incrementing threshold . The goal is to have PF above 2 and a drawdown as low as possible.
5. Finally, change the source ! Typically, close is the best option, but I have run into cases where high
yielded the highest returns and win rate.
6. Sit back, relax, and tweak the risk until you're happy with the return and drawdown amounts.
ADVANCED
You may need to adjust take profit (TP) points and stop loss (SL) points to create the best entry possible. Don't be greedy! You'll likely have poor
results if the TP is set to 300 and SL is 50.
If you are trading a pair that has a long Dominant Cycle Period , then you may increase Max Period to allow the IFM
to accept longer periods. Any period above the Max Period will be rejected. This may increase lag time!
Cheers and good luck trading!
-DasanC
PS - This code doesn't repaint or have future-leak, which was present in Pinescript v2.
PPS - Believe me! These returns are typical! Sometimes you must push aside the "if it's too good to be true..." mindset that society has ingrained in you.
Do you really believe the most successful pass up opportunities before investigating them? ;)
(1) Ehlers & Ric Zero Lag EMA
(2) Measuring Cycles by Ehlers
(3) Cosine IFM
(4) Inphase Quadrature IFM
(5) Averaging IFM
Smart Money Index (SMI) Backtest Attention:
If you would to use this indicator on the ES, you should have intraday data 60min in your account.
Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment.
The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns.
The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day
because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening.
Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance.
Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated
for many markets and market indices (S&P 500, DJIA, etc.)
The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling
about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the
market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation
is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend
soon. The SMI is, therefore, a trend-based indicator.
Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Smart Money Index (SMI) Strategy Attention:
If you would to use this indicator on the ES, you should have intraday data 60min in your account.
Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment.
The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns.
The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day
because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening.
Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance.
Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated
for many markets and market indices (S&P 500, DJIA, etc.)
The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling
about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the
market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation
is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend
soon. The SMI is, therefore, a trend-based indicator.
Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future.
WARNING:
- This script to change bars colors.
Bollinger Bands + 2 MA (Exponential)Basic Bollinger Bands implementation, with the option to use an exponential moving average and a more accurate stdev function than the builtin. This also includes two extra MA lines which can be tuned as you like, to reduce the number of indicators needed (the bollinger basis is also a moving average, so in total you get 3MA out of this indicator). This draws an inner/outer envelope which can be tuned, by default it is set to 1-2STDEV.
This uses the same same improvement to stdev as my other bollinger indicator:
See more info about the bultin stdev here:
Renko Price Bars Overlay// Shows the price renko bars (or range bars) instead of the PERIOD renko
// bars that are integrated into Trading View. The normal renko bars that
// Trading View offers only consider the drawing of a new brick when the
// price closes above or below the required brick size. This can produce
// misleading charts since depending on the time interval of a chart, new
// bricks may or may not be drawn. True price renko bars will draw a new
// brick immediately upon the price exceeding the next target brick size.
// When running this script in "Traditional" mode, the painting of the
// brick overlay band is INDEPENDENT of the chart interval. If price
// exceeds the required target price for the next brick, the band is
// updated immediately, instead of waiting for the price bar on the chart
// interval to close first. The brick starting anchor point will attempt
// to be a "nice number" at a round interval for the chart ticker. For
// example, if viewing EURUSD with the box size equal to 50 ticks/pips,
// the open and close prices will take the form of 1.2100, 1.2150, 1.2200,
// 1.2250, and so on. This is the same behavior as the normal traditional
// Renko bars in Trading View and other major trading platforms such as
// Meta Trader.
// Use the tick size in traditional mode to specify the block size, in
// ticks. This may give interesting results in FOREX pairs... as the tick
// size in Trading View may be 0.00001 instead of the normal pip size of
// 0.0001, so a 10 pip block size may be '100', and not the expected '10'.
// FOREX futures should work in the manner expected, a 10 pip block size
// will indeed equal 0.0010.
// The "ATR" mode functions differently than the Trading View built in
// version. The block size is updated each time the range is exceeded.
// In Trading View, when using the ATR mode, the ATR is the last ATR
// value calculated on the ENTIRE data interval, and is applied to all
// past data. You can see this when you press the '+' sign of the ticker
// in the top left of the chart window and you will see the brick size
// as a constant, the brick size is not a function of the ever changing
// ATR value of the price action. The block size of this script is not
// updated for each price candle (i.e. each 1HR on a 1HR chart), instead
// it is updated only when the price thresholds are exceeded requiring a
// the band to be updated. At that point the current ATR is considered
// and the brick size is updated.
// Options exist to show the current high and low of the brick, and to
// show the required levels that the price must exceed to draw a new
// brick and update the band.
Please leave comments if you notice any bugs or would like any new features added. I don't find much use for plotting the H/L of the current renko candle, but I have seen some request it in the past.
Cheers.
Smart Money Index (SMI)Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment.
The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns.
The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day
because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening.
Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance.
Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated
for many markets and market indices (S&P 500, DJIA, etc.)
The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling
about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the
market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation
is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend
soon. The SMI is, therefore, a trend-based indicator.
Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future.