[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.
Cari dalam skrip untuk "MACD"
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!
Simple and efficient MACD crypto strategy with risk managementToday I am glad to bring you another great creation suited for crypto markets.
MARKET
Its a simple and efficient 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
MACD with simple moving average
ENTRY DESCRIPTION
For entries we have :
We check the direction with MACD . Depending if its an uptrend and positive level on histogram of MACD we go long, otherwise we go short.
RISK MANAGEMENT
In this strategy we use a stop loss based on our equity. For this example I choosed a 2% risk .That means if our account has 100.000 eur, it will automatically close the trade if we lose 2.000.
We dont use a take profit level.
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.
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!
Ampleforth Rebase MACDThis script reveals Ampleforth rebase levels which are going to always work. In addition to that is MACD crossovers serving as potential buy/sell entries. You can set alerts for MACD crossovers and price entering balanced value area (0.96 - 1.06).
MACD signals can be used to automatically open a position and entering a balanced value area can be used as take-profit. Since the price will always move to this level, using this strategy without leverage should be profitable.
Ampleforth seems like a nice asset to trade since it is unlikely to correlate with anything else. At least not when it gets to the extreme levels.
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!
ANN BTC MTF Golden Cross Period MACDHi, this is the MACD version of the ANN BTC Multi Timeframe Script.
The MACD Periods were approximated to the Golden Cross values.
MACD Lengths :
Signal Length = 25
Fast Length = 50
Slow Length = 200
Regards.
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.
MACD histogram divergence by Rexio v1Hi everyone!
I wrote this indicator for intraday trading and it cannot be use only by itself you need to at least draw some S/R lines to make it useful. It is based at MACD histogram and gives signal when it sees divergence on MACD's Histogram when macd's histogram switchs trend. Im using it to playing with a trend most of the time looking. It highlights candles which can give good singnals to play with a trend (its based on ema200 and RSI overbought and oversold zones).
Im not a computer programist nor professional trader so it is only for educational purposes only.
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
