Calculates MACD line and signal line differences, passing current and previous deltas through a two-layer neural network model with ReLU activation functions.
1Copy the scriptPress Copy script above. It reads the file straight from GitHub.
2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.
Source Code
The code stays on GitHub. The author has not published this script under an open licence, so ForexR does not show its code. Copy script reads the file straight from GitHub into your clipboard, so you can still try it on your own chart. Ask the author before reusing the code anywhere else.
Overview
User-configurable weights, biases, and threshold values determine output classification signals. The strategy enters long or short positions when the network output crosses the defined threshold, automatically closing opposing trades. It draws buy and sell signal shapes directly on the main price chart. The strategy does not include hard stop-loss or take-profit risk management exits.
Two-layer neural network model with ReLU activation
MACD histogram delta feature calculation
Customizable weights and bias input parameters
Buy and sell signal shape markers overlaid on price chart
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Fast EMA
int
12
fastLength
Slow EMA
int
26
slowLength
Signal EMA
int
9
signalLength
W1[0,0]
float
1
w1_0
W1[0,1]
float
0
w1_1
W1[1,0]
float
-1
w1_2
W1[1,1]
float
0
w1_3
W1[2,0]
float
0
w1_4
W1[2,1]
float
1
w1_5
W1[3,0]
float
0
w1_6
W1[3,1]
float
-1
w1_7
b1[0]
float
0
b1_0
Show all 21 settings
Setting
Type
Default
Variable
b1[1]
float
0
b1_1
b1[2]
float
0
b1_2
b1[3]
float
0
b1_3
W2[0]
float
1
W2[0]
W2[1]
float
-1
W2[1]
W2[2]
float
-1
W2[2]
W2[3]
float
1
W2[3]
b2
float
0.0
b2
Threshold
float
0.0
threshold
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
This overlay strategy combines a machine-learning distance model with a MACD oscillator to open trades on the price chart. It compares recent history using cosine similarity or Euclidean and Lorentzian distance, then filters direction with selectable moving-av
Calculates composite scoring across multiple technical indicators including EMAs, SuperTrend, Parabolic SAR, Hull Moving Average, RSI, MACD, WaveTrend, Stochastic, Bollinger Bands, and ATR. Trading entries trigger on the price chart when cumulative weighted sc
This strategy stores a rolling matrix of RSI, ATR relative to price, and rate of change, together with each bar’s close direction. It averages outcomes from historical rows inside a fixed distance and treats that score as confidence. It enters long when confid
2 EMA/SMA + RSI Strategy [Alorse] combines three configurable moving averages with a short-period Relative Strength Index filter. It plots fast, slow, and trend moving averages on the price chart. Long entries trigger when the fast moving average is above the
This strategy plots on the price chart and opens long or short positions when a weighted score from MACD, Stochastic RSI, RSI, Supertrend and a moving-average crossover exceeds a user-set trigger. Each component has its own weight and candle delay. Entries can
Donald - AI Futures 5M 15M Timeframe is an overlay trading strategy designed for intraday futures trading. It utilizes rational quadratic kernel regression to construct dynamic momentum zones and smoothed price boundaries on the main price chart. The strategy