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
Charles' RSI Strategy sequences overbought and oversold crosses with returns into a base zone, optionally counting those events only when the moving-average trend agrees. A user setting chooses how many such signals must occur before an entry, and another allows a secondary entry while pyramiding is set to two. Further inputs select a higher-timeframe ATR multiplier and the price point used for that increment. No stop loss appears in the supplied settings, and the visible code does not define exits.
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
RSI Timeframe
timeframe
rsiRes
RSI Length
int
14
rsiLen
RSI Overbought
int
70
i_rsiOb
RSI Oversold
int
30
i_rsiOs
Fast MA Lenght
int
20
fastMaLen
Slow MA Lenght
int
50
slowMaLen
Apply EMA Rule When Counting Each Overbought/Oversold?
bool
true
useEmaForCount
How many Overbought/Oversold Signals Before Entries?
int
4
obosInRow
Take Secondary Entries?
bool
false
take2Entry
Increment ATR Timeframe
timeframe
D
incHtf
Point of Increment ATR Calculation
string
OB/OS Price
incPoint
ATR Multiplier
float
1
incAtrMult
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.
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
This strategy combines Arnaud Legoux Moving Average percentage price change calculations with an adaptive Gaussian Moving Average to generate trend-following signals. Long and short entries are triggered when the ALMA change calculation crosses above or below
This overlay strategy is built around MACD inputs for a fast average, a slow average, and a signal line. Comments say the script keeps MACD values available and can draw a histogram and zero line in a separate pane, with an optional overlay on price. Settings
255 EMA Strategy combines an exponential moving average with Average True Range bands and standard MACD crossovers to generate entry signals. Drawn directly on the price chart, it plots the central 255 EMA along with upper and lower volatility envelopes. Trade
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