MACD Long StratFirst script I've written, but the concept is pretty simple. This uses the MACD with settings fast_SMA = 6 and slow SMA=16 and uses the distance between the 2 (histogram) to look for potential trend reversals to flag potential entries for Long trades. It waits for the confirmation looking backward 2 x timeframes (to reduce false calls slightly). You can adjust it to open / close quicker (1 timeframe instread of 2) but backtesting shows 2 timeframe delay is best to avoid false signals.
The script suggests Long entry points based on this criteria and uses the converse (reducing histogram / SMA difference delayed by 2 timeframes) to suggest exit or trade close points for downward reversal. It was originally written looking at 1m scalps but backtesting shows this is even more effective on higher timeframes (1D).
ابحث في النصوص البرمجية عن "MACD"
SimpleScalper2.0MACDThis indicator should be implemented with more indicators, by itself it is not recommended. SimpleScalper 2.0 MACD its strong are the negative values during the major corrections or waves of impulse of downtrend and see divergences with better visibility
macZLSMA - Overlay**Overlay Version** Macd that shows instantaneous trend using ZLSMA. This crossover has the ability to reveal trend directions before it happens. With multi time frame option.
Above image shows 1 hour timeframe using 12hour setting on indicator
Example with 1 hour timeframe:
Example with 1 hour timeframe using daily setting on indicator:
Non overlay version available here:
Highlighter Strategy V2// Based on Normalized Smoothed MACD by Dreadblitz
Old one was just an oscillator, I changed a few things
1) It now paints the line green/orange
2) The trigger (green/red) is now based on a signal
3) The signal is basically isUp, but with some additional controls, e.g.
4) (new) There is an embedded stoploss. This is a growth/decay function that decays slower than it grows.
5) Signal is filtered additionally by the stoploss (no green under the decaying line)
Highlighter StrategyOG COINBASE:BTCUSD
Based on Normalized Smoothed MACD by Dreadblitz
Updated slightly the rules about when it'll take a signal, and made it an overlay so that you see "green" and "red" on the price bar.
Things you might want to do when using it.
- Add a stoploss/trailing stop probably a MA of your choosing.
- Check different time frames to confirm a strong entry
MACD BB - 3 colorsSimple MACD BB that change to three colors.
- Over band
- Under band
- Inside band
MACD signal with alert (long/short/close) for TV free accountSend MACD alert through email (available for free/pro user):
// 3 - buy
// -2 - short
// 0 - close position
// 1 - ignore
Example buy signal
Alert: STRAT3. BINANCE:BTCUSDTPERP, price = 31080
Example sell signal
Alert: STRAT-2. BINANCE:BTCUSDTPERP, price = 31080
Example close signal
Alert: STRAT0. BINANCE:BTCUSDTPERP, price = 31080
Example ignore signal
Alert: STRAT1. BINANCE:BTCUSDTPERP, price = 31080
MACD controlled risk strategy exampleUsing a basic MACD as a signal this code is an example of how to base strategies around stops and calculated risk per trade rather than the more common approach of 'equity flipping' long and short for every trade and using an arbitrary %age stop which can leave you a bit exposed, lead to excessive drawdown and miss out on bigger sized positions for more profits.
BTC and ETH Long strategy - version 2I wrote my first article in May 2020. See below
BTC and ETH Long strategy - version1
After 6 months, it is now time to check the result of my script for the last 6 months.
XBTUSD (4H): 14/05/2020 --> 22/11/2020 = +78% in 4 trades
ETHXBT (4H): 14/05/2020 --> 22/11/2020 = +21% in 9 trades
ETHUSD (4H): 14/05/2020 --> 22/11/2020 = +90% in 6 trades
Using the signals from this strategy to trade manually has shown that this was a bit frustrating because of the low rate of winning trades.
If you have to enter 100 trades and see 75% of them failing and 25% winning, this is frustrating. For sure the strategy makes good money but it is difficult to hold this mentality.
So, I have reviewed and modified it to get a higher winning rate.
After few days of work, tests and validation, I managed to get a wining rate close to 60%.
The key element was also to decrease the number of trades by using a higher time frame. (4H candles instead of 2H candles).
- Entry in position is based on
MACD, EMA (20), SMA (100), SMA (200) moving up
AND EMA (20) > SMA (100)
AND SMA (100) > SMA (200)
- Exit the position if: Stoploss is reached OR EMA (20) crossUnder SMA (100)
The goal of this new script is to be able to follow the signals manually and only make few trades per years.
I have also validated it against some other altcoins where some are giving very good results.
Here are some results for 2020 (from 01/01/2020 until now (22/11/2020). Those results are the one I get when using 4H candles.
ETH/USD: +144% in 8 trades.
BTC/USD: +120% in 7 trades.
ETH/BTC: +33% in 9 trades.
ICX/USD: +123% in 10 trades.
LINK/USD: +155% in 11 trades.
MLN/USD: +388% in 8 trades.
ADA/USD: +180% in 7 trades.
LINK/BTC: +97% in 10 trades.
The best is that above results are without considering compound effect. If you re-invest all gains done in each new trade, this will give you the below results :)
ETH/USD: +189% in 8 trades.
BTC/USD: +260% in 7 trades.
ETH/BTC: +29% in 9 trades.
ICX/USD: +112% in 10 trades.
LINK/USD: +222% in 11 trades.
MLN/USD: +793% in 8 trades.
ADA/USD: +319% in 7 trades.
LINK/BTC: +103% in 10 trades.
As you can see, the results are good and the number of trades for 11 months is not big, which allows the trader to place orders manually.
But still, I'm lazy :), so, I have also coded this strategy in HaasScript language which allows you to automate this strategy using the HaasOnline software specialized in automated crypto trading.
I hope that this strategy will give you ideas or will be the starting point for your own strategy.
Let me know if you need more details.
MA MTF Momentum HistogramMy own interpretation indicator which i call multi time frame moving averages momentum with NO LAG EMA support (Optional).
The indicator is calculated by subtracting the long-term EMA from the short-term EMA .
This pretty much resembles the MACD moving averages calculation but without the smoothing of the histogram.
Can also be used to find divergences.
The background shows the main trend with higher time frame which can be set in the settings.
Aimed to use with Higher time frame (Double or more) but can also work with lower time frame.
How to use the indicator?
==Histogram==
Green: Momentum of asset is positive and increasing.
Lighter Green: Momentum of asset is still positive but decreasing and can revert to negative momentum.
Red: Momentum of asset is negative and increasing.
Lighter Red: Momentum of asset is still negative but increasing and revert to positive momentum.
==Background Color - Main Trend==
Green: HTF (Higher time frame) momentum is positive.
RED: HTF momentum is negative.
Feel free to comment and Follow to stay updated with upcoming scripts: www.tradingview.com
NOTE: BARS ARE COLORED BY DEFAULT WITH HISTOGRAM COLORS! (Can be changed in settings)
AverageTrueRangeConvergenceDivergenceV1sloth288Simple indicator with the thought of merging MACD and ATR. The idea has come from trying to find a way to define sideways markets. Whipped this up quickly to explore the idea.
Feel free to throw in suggestions or even mention other open source indicators that define sideways markets well.
Simple instructions
If histogram green, breakouts/trade zone.
If histogram red, sideways/keep out.
MACD + RSI togetheryou will have both MACD and RSI together in front of each other. best for tile windows or small monitors. enjoy
MACD by James_BlI use the space between MACD and Signal.
If you want to use a couple of indicators in the same area you do not need to display the histogramm.
MACD Multi Time FrameThis is non-repainting multi time frame MACD script. You can choose HTF manually or HTF is calculated automatically if HTF Mode is "Auto" that is default.
Normalized Smoothed MACDMACD normalized with its highest and lowest values over the last “Normalization period”
- includes alerts
VMACDIntended to be used in exactly the same way as the built-in MACD, but uses volume-weighted moving averages instead. This gives it a tiny edge for spotting high volume breakouts.
Hancock - WAEThis is a version of the LazyBear Waddah Attar Explosion indicator that incorporates the LazyBear Squeeze Momentum Indicator. Full credit goes to LazyBear for this and i've added links to his indicators used for a further explanation.
This histogram is a plot of the difference between the current and previous MACD multiplier by the sensitivity value. Green indicates an up trend and red indicates a down trend.
The white line is the lower BB subtracted from the upper BB and signals should be taken when the histogram is greater than this line.
The blue line is taken from the Squeeze Indicator and is the Keltner Channel. If the white line is less than the blue line it can be considered a squeeze and the background color of the indicator is coloured to indicate when not in a squeeze.
Happy trading folks!
Hancock
MACD SMOOTH - A ZULU_KILO INDICATORHey Tradingviewers!
Another Zulu_Kilo indicator coming at ya!
This will be an open source script as the base code comes from another Tradingview user, their original info is in the script.
This is a revision of an MACD smoothed script which mostly adds the capability for the indicator to show you bullish/bearish crosses in red/maroon background colors.
Use this along with other indicators as a confirmation of price action. It is recommended to confirm candles with it.
-Happy Trading!
ANN MACD : 25 IN 1 SCRIPTIn this script, I tried to fit deep learning series to 1 command system up to the maximum point.
After selecting the ticker, select the instrument from the menu and the system will automatically turn on the appropriate ann system.
Listed instruments with alternative tickers and error rates:
WTI : West Texas Intermediate (WTICOUSD , USOIL , CL1! ) Average error : 0.007593
BRENT : Brent Crude Oil (BCOUSD , UKOIL , BB1! ) Average error : 0.006591
GOLD : XAUUSD , GOLD , GC1! Average error : 0.012767
SP500 : S&P 500 Index (SPX500USD , SP1!) Average error : 0.011650
EURUSD : Eurodollar (EURUSD , 6E1! , FCEU1!) Average error : 0.005500
ETHUSD : Ethereum (ETHUSD , ETHUSDT ) Average error : 0.009378
BTCUSD : Bitcoin (BTCUSD , BTCUSDT , XBTUSD , BTC1!) Average error : 0.01050
GBPUSD : British Pound (GBPUSD,6B1! , GBP1!) Average error : 0.009999
USDJPY : US Dollar / Japanese Yen (USDJPY , FCUY1!) Average error : 0.009198
USDCHF : US Dollar / Swiss Franc (USDCHF , FCUF1! ) Average error : 0.009999
USDCAD : Us Dollar / Canadian Dollar (USDCAD) Average error : 0.012162
SOYBNUSD : Soybean (SOYBNUSD , ZS1!) Average error : 0.010000
CORNUSD : Corn (ZC1! ) Average error : 0.007574
NATGASUSD : Natural Gas (NATGASUSD , NG1!) Average error : 0.010000
SUGARUSD : Sugar (SUGARUSD , SB1! ) Average error : 0.011081
WHEATUSD : Wheat (WHEATUSD , ZW1!) Average error : 0.009980
XPTUSD : Platinum (XPTUSD , PL1! ) Average error : 0.009964
XU030 : Borsa Istanbul 30 Futures ( XU030 , XU030D1! ) Average error : 0.010727
VIX : S & P 500 Volatility Index (VX1! , VIX ) Average error : 0.009999
YM : E - Mini Dow Futures (YM1! ) Average error : 0.010819
ES : S&P 500 E-Mini Futures (ES1! ) Average error : 0.010709
GAZP : Gazprom Futures (GAZP , GZ1! ) Average error : 0.008442
SSE : Shangai Stock Exchange Composite (Index ) ( 000001 ) Average error : 0.011287
XRPUSD : Ripple (XRPUSD , XRPUSDT ) Average error : 0.009803
Note 1 : Australian Dollar (AUDUSD , AUD1! , FCAU1! ) : Instrument has been removed because it has an average error rate of over 0.13.
The average error rate is 0.1850.
I didn't delete it from the menu just because there was so much request,
You can use.
Note 2 : Friends have too many requests, it took me a week in total and 1 other script that I'll share in 2 days.
Reaching these error rates is a very difficult task, and when I keep at a low learning rate, they are trained for a very long time.
If I don't see the error rate at an average low, I increase the layers and go back into a longer process.
It takes me 45 minutes per instrument to command artificial neural networks, so I'll release one more open source, and then we'll be laying 70-80 percent of the world trade volume with artificial neural networks.
Note 3 :
I would like to thank wroclai for helping me with this script.
This script is subject to MIT License on behalf of both of us.
You can review my original idea scripts from my Github page.
You can use it free but if you are going to modify it, just quote this script .
I hope it will help everyone, after 1-2 days I will share another ann script that I think is of the same importance as this, stay tuned.
Regards , Noldo .
