5min MACD scalp by JoelThis strategy is inspired by a youtuber called Joel on Crypto. He trades this using Ema, MACD indicators and his own experience. For more information, check out his Best Crypto Scalping Strategy for the 5 Min Time Frame video. I have tried to automate this a little.
Long or Short trades are determined with a crossing of the fast Ema over the slow Ema for Long and the opposite for Short. Trades should only happen close to the crossovers. Then for Long we use the MACD indicator with a 1min TF (I had better results using the 5min) where we look for high peaks in negative values for Long and vice versa for Shorts. These should be significantly higher than other peaks (or if you will lower peaks for a Long).
Hence, the key is to detect high peaks on the histogram, which I try to achieve by checking if the last 2 values were higher than X bars back. If you want to make it even more specific, then you can turn on the additional checkbox which compares the current value to the average value of X bars back, and if it is greater than, say, 50% the value of the average (= 1.5x the average), then it's ok for the trade.
I also noticed that the strategy often bought at the top or bottom, so I added a check that compares whether the last evaluated bar is the first rising bar (for Long) or falling bar (for Short). This can be turned on or off.
Target profit 0,5% and stop loss 0,4% are based on his recommendation. The strategy is set to take only 1 trade at a time , and you can have a back tester table on.
I'm still a pine script beginner, so the strategy is certainly not perfect and could be improved. If you have any tips on how to improve it further, please let me know. I will try to update it when I have time.
I would also like to thank Joel on Crypto for sharing the strategy and @ZenAndTheArtOfTrading for his great library and code (thanks to him we have a back tester table in here), but especially his educational videos on youtube, which taught me a lot about pine script.
Search in scripts for "MACD"
Chaikin Money Flow + MACD + ATRHere I present you on of Trade Pro's Trading Idea: Chaikin Money Flow + MACD + ATR.
This strategy is not as profitable as it can be seen in one of his videos. In the forex market, the strategy could reach a maximum of 35% profitability.
I have, as some of my followers have requested, created an overview of the current position, risk and leverage settings in the form of a table.
Furthermore, one can again swap between short and long positions.
It is now possible to select or deselect individual indicators.
I have chosen the ATR alone as a take profit stop loss, as in his strategy.
A position is only triggered as soon as all prerequisites have been fulfilled and a command is executed. This prevents false triggering by bots and repainting.
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How does the strategy work?
ENTRY
Long
The MACD indicator must be above the zero line.
Then the K line must cross the D line.
Finally, when this happens, the Money Flow Index must be above the zero line.
Short
Contrary to the premise of long positions.
EXIT
ATR Exit
The value of ATR at the time of buying is multiplied by the value entered in "Profit factor ATR" and "Stop factor ATR". As soon as the price reaches this value, it is closed.
Important
The script must be optimized for each coin or currency pair.
I will publish a guide to the strategy shortly. There I will explain how the table works and how to set the strategy correctly.
The results of the strategy are without commissions and leverage.
If you have any questions or feedback, please let me know in the comments.
Micro MACDMicro version of the MACD
Positioning
ATR - uses ATR to position indicator 1.5x above high of the Nth bar (needs improvement)
Absolute - allows you to specify the zero line position using price on the chart.
MACD Signal with RSI Indicating StrategyThis strategy looks for MACD signal crossover and RSI confirmation of oversold/overbought condition.
Tune to your crypto/stock for best results using the strategy and sent an alert. Currently set up to use 25% of equity at each buy signal and will sell 1/3 of position at each sell signal. Initial investment is $1000, but adjust as necessary.
Currently tuned to DOGEUSD on 30min chart.
If you like/use/profit, follow me or shoot me a donation. If you are looking for a script design, I can help.
[KL] BOLL + MACD Strategy v2 (published)This strategy will look for opportunities when price touches the lower Bollinger band, then enters Long when it anticipates a MACD crossover signal.
Setup: on 1-day chart interval
Exits when either (a) hitting trailing stop loss, or (b) meeting risk-to-reward, if defined by user.
Jim's MACDMACD Buy/Sell Strategy
Filters bearish crossovers above the 0 line and bullish crossovers below.
Uses 34 ema to further filter the trades and take only longs above and only shorts below.
Apply at least 2:1 risk to reward ratio to account for losing trades.
Trade at own risk!
High/low crypto strategy with MACD/PSAR/ATR/EWaveToday I am glad to bring you another great creation of mine, this time suited for crypto markets.
MARKET
Its a high and low strategy, designed for crypto markets( btcusd , btcusdt and so on), and suited for for higher time charts : like 1hour, 4hours, 1 day and so on.
Preferably to use 1h time charts.
COMPONENTS
Higher high and lower low between different candle points
MACD with simple moving average
PSAR for uptrend and downtrend
Trenddirection made of a modified moving average and ATR
And lastly elliot wave oscillator to have an even better precision for entries and exits.
ENTRY DESCRIPTION
For entries we have : when the first condition is meet(we have a succession on higher high or lower lows), then we check the macd histogram level, then we pair that with psar for the direction of the trend, then we check the trend direction based on atr levels with MA applied on it and lastly to confirm the direction we check the level of elliot wave oscillator. If they are all on the same page we have a short or a long entry.
STATS
Its a low win percentage , we usually have between 10-20% win rate, but at the same time we use a 1:30 risk reward ratio .
By this we achieve an avg profit factor between 1.5- 2.5 between different currencies.
RISK MANAGEMENT
In this example, the stop loss is 0.5% of the price fluctuation ( 10.000 -> 9950 our sl), and tp is 15% (10.000 - > 11500).
In this example also we use a 100.000 capital account, risking 5% on each trade, but since its underleveraged, we only use 5000 of that ammount on every trade. With leveraged it can be achieved better profits and of course at the same time we will encounter bigger losses.
The comission applied is 5$ and a slippage of 5 points aswell added.
For any questions or suggestions regarding the script , please let me know.
MACD and EMA200 With SignalsThis is my first indicator. It PROVIDES BUY, SHORT, and FALSE Signals by taking the MACD and the 200EMA.
MACD Multiple Time Frames Weighted Momentum Score OscillatorThis script looks at the current momentum direction (up or down) for the 5 minute, 30 minute, 1 hour, 4 hour and daily and allows you to set scores of importance to these.
These scores are then added up to create an oscillator matching your preferences. Tune the indicator to match what you believe is the most important time frames that people use and score it accordingly. The values I put by default are just for demonstration.
For example, (and if you want to test to verify it's working), set the scores to 0 for everything except for the daily). Look at the daily macD by adding it as an indicator and set a score. Whenever the macD is trending up it will add the appropriate value to the score and likewise remove it when it's not.
Enjoy!
Elder EMA, ATR & MACD Indicator, 5X Time Frame & Divergences.This indicator is elaborated following the 3 window strategy described by Elder.
The fast, slow averages and MACD histogram are taken from a time frame 5 times higher than the active time frame and indicate bullish / bearish trends as well as divergences (bottom) of the hostogram with the price.
MACD with BGThis is a standard MACD indicator with Background colour and the option to draw the Background colour of the next higher timeframe.
MacD 200 Day Moving Average Signal Crossover StrategyThis works on most time frames, but I noticed the 4 hour for BTCUSD on coinbase seems to work well as an example. The strategy is pretty simple. I was inspired by a youtube video that said to backtest their strategy so I did. Most of the time it doesn't work but sometimes it's pretty good as in the case I showed.
Basically, you buy if the MacD crossers over the signal line and the histogram is below 0 and you are above the 200 day moving average. Do the opposite to sell!
WMA + MACD strategy with trailing stopHi!
That's my first strategy. I already learn pine, so i will work on it more. Now i search how to make trailing stop working.
"WMA + MACD strategy with traiing stop" is very simple strategy which is designated for stocks market. It is created only to take long positions.
Buy signal is when WMA(120) is below price and macd(10,20,10) histogram is higher than 0.
Position should be automaticly closed when price hits stoploss level.
One transaction should be max 20% of our capital and stoploss is set 3% lower than last closing price.
Minkowski Distance Factor Adaptive Period MACDHi, this script comes from the idea that Ricardo Santos' Minkovski Distance Function is transferred to the period as a factor.
Minkowski distance is used as a percentage factor with the help of Relative Strength Index function.
Minkowski Distance Function Script :
And thus an adaptive MACD was created.
This script can give much better results in more optimized larger periods.
I leave the decision to determine the periods and weights.
I used the weights of 9,12,26 and periods created with multiplied by factor.
Regards.
[fikira] MACD & RSI+Stoch + DivergencesThis is a new version of my "Divergences"
Compared to my "Divergences (Pivots)", this is calculated totally different
There are 3 options:
- MACD
- RSI
- Stoch RSI
Since this script is very heavy in calculation it is limited in time (= inspired from a script of "Che_Trader")
Also it uses "max_bars_back" (=1000)
For MACD and Stoch RSI there is a "custom Divergences Period", which compares more then 7 Pivot Points,
the higher the number, the less reliable, it is not necessary to use this, but it is there,
also you can change the "leftbars" and "rightbars", again, it is not necessary to change, but you can...
Linewidth and style of the Divergences lines can be changed
Thank you!
Bollinger Bands on MacdOnly longs when Macd line is above Bollinger Band and shorts when Macd line is above Bollinger Band, this will avoid many problems.
thumbs up!!!
Double MACD Buy and SellIndicator for strategy that was used in a Forex competition and was a winner. Use double MACD with custom settings, search video on YouTube:
Learn Five Powerful MACD Trading Strategies
Add some tools to analyze the market context a little more:
- Detector of regular and hidden divergences.
- Atlas Zone (detects consolidation that is about to generate a movement)
- Choppines zone configurable (detects if the market is stable or not)
Visualization of entries in trend and counter-trend according to the rules described in the video.
Buy and sell alerts.
Note: I do not recommend using only this indicator as an investment strategy, it is another tool that must be complemented with a market study by the trader.
ANN MACD (BTC)
Logic is correct.
But I prefer to say experimental because the sample set is narrow. (300 columns)
Let's start:
6 inputs : Volume Change , Bollinger Low Band chg. , Bollinger Mid Band chg., Bollinger Up Band chg. , RSI change , MACD histogram change.
1 output : Future bar change (Historical)
Training timeframe : 15 mins (Analysis TF > 4 hours (My opinion))
Learning cycles : 337
Training error: 0.009999
Input columns: 6
Output columns: 1
Excluded columns: 0
Grid
Training example rows: 301
Validating example rows: 0
Querying example rows: 0
Excluded example rows: 0
Duplicated example rows: 0
Network
Input nodes connected: 6
Hidden layer 1 nodes: 8
Hidden layer 2 nodes: 0
Hidden layer 3 nodes: 0
Output nodes: 1
Learning rate : 0.6 Momentum : 0.8
More info :
EDIT : This code is open source under the MIT License. If you have any improvements or corrections to suggest, please send me a pull request via the github repository github.com
ANN MACD Future Forecast (SPY 1D) NOTE : Deep learning was conducted in a narrow sample set for testing purposes. So this script is Experimental .
This system is based on the following article and is inspired by an external program:
hackernoon.com
None of the artificial neural networks in Tradingview work and are not based on completely correct logic. Unlike others in this system:
IMPORTANT NOTE: If the tangent activation function is used, the input data must also have tangent values (compared to the previous values of 1 bar).
Inputs were prepared according to this judgment.
1. The tangent function which is the activation function is written correctly. (The tangent function in the article: ActivationFunctionTanh (v) => (1 - exp (-2 * v)) / (1 + exp (-2 * v)))
2. Missing bias parts in the formulas were added.
3. The output function is taken from the next day (historical), so that the next bar can be predicted, which is the truth.
4.The forecast value of the next bar is subtracted from the current bar change and the market direction is determined.
5.When the future forecast and the current close are added together, the resulting data is called seed.
The seed carries data both from the present and from yesterday and from the future.
6.And this seed was subjected to the MACD method.
Thus, due to exponential averages, more importance will be given to recent developments and
The acceleration situations will show us the direction.
However, a short position should be taken for crossover and a long position for crossunder .
Because the predicted values work in reverse.Even though we use the same period (9,12,26) it is much faster!
7. There is no future code that can cause Repaint.
However, the color after closing should be checked.
The system is completely correct.
However, a very narrow sample was selected.
100 data: Tangent diffs ; volume change, bollinger bands values changes (Upband , Midband , Lowband) and LazyBear's Squeeze Momentum Indicator (SQZMOM_LB) change and the next bar data (historical) price change were put into the deep learning test.
IMPORTANT NOTE : The larger the sample set and the more effective dependent variables, the higher the hit rate of the deep learning test!
EDIT : This code is open source under the MIT License. If you have any improvements or corrections to suggest, please send me a pull request via the github repository github.com
Stay tuned. Best regards!
MACD BF 🚀Customised MACD strategy with dynamic stop losses based on ATR.
Signals are generated when the delta value becomes positive or negative (when it crosses the zero line)
Stop losses are printed on the chart in yellow and orange. They are based on recent average True Range to allow for volatility.
INSTRUCTIONS
Green background = long
Red background = short
Yellow dotted line = stop loss placement for long
Orange dotted line = stop loss placement for short
White background = you have been stopped out, wait patiently for the next signal
