A trade needs a recent squeeze in band width, the index breaking beyond its own two-deviation band, and price on the correct side of a higher timeframe VWAP. The stop sits at the entry bar extreme and moves to breakeven after a gain of a set multiple of initial risk. A time-based exit closes fading trades. Default sizing is the full equity.
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Velocity Period (N)
int
5
velocity_period
BBW Period (M)
int
20
bbw_period
Epsilon
float
0.0001
epsilon
Higher Timeframe for VWAP
timeframe
15
htf
Energy Exhaustion Bars
int
5
energy_exit_bars
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.
Calculates a momentum squeeze using Bollinger Bands and Keltner Channels alongside a trend-filtering moving average. It generates long and short entries based on squeeze momentum bar conditions and an optional pre-squeeze dot count filter. Exits can trigger on
This strategy plots exponential-moving-average Bollinger bands on the price chart and calculates RSI. It opens a long position when close crosses above the upper band while RSI is at or above a threshold, the date filter allows trading, and no position is open
This strategy enters long when price closes above the prior Donchian high and short when it closes below the prior Donchian low, only while flat and inside a Taipei-hour window. It exits on a MACD histogram reversal or through an ATR stop and a percentage take
This strategy trades Donchian channel breakouts on the price chart and exits on a shorter Donchian channel. It sizes each unit from a percentage of equity and an ATR-based initial stop, then adds units as price moves a set ATR distance, up to a maximum unit co
Breakout AVAAI is a crypto breakout strategy mirrored from a Python trading platform. It filters potential trades by evaluating ATR relative to close price and measuring momentum over 6-hour and 12-hour lookbacks. Positions are taken when volatility meets user
This breakout strategy identifies trade entries when price breaks above recent swing highs or below swing lows. Entries are verified through optional filters, including a 233 EMA trend filter, ATR volatility threshold, volume multiplier confirmation, RSI bound