The SuperTrend Indicator and Strategy built upon Average True Range.
- Backtest Version - >> READ HOW TO USE HERE <<
版本注释
Added a visual feature "show opposite trend line"
版本注释
New optional feature!
Double SuperTrend Strategy.
Add a fast SuperTrend to trigger entries/exit inside the slow SuperTrend.
Go into the indicator settings to turn it on !
版本注释
Bugfix: backtest input dates
版本注释
New feature: ADX sideways filter
版本注释
Bugfixes regarding MTF ADX Filter
版本注释
Added configuration panel in the graphic options.
版本注释
Configuration panel udpated: smaller and better placement.
Added new alert system! To use it: 1. Write your alert messages in the indicator settings (alert section at the bottom) 2. Click "Create Alert" as usual, but choose "alert() function calls only"
That's all! You will receive alerts for every event.
版本注释
Added new Backtest Results panel You can disable it by going in the style tab -> tables, or by clicking the indicator setting "Backtest Results Table". You can also change its size if you want to make it bigger or smaller.
版本注释
Small fix to prevent strategy orders to trigger several times when using recalculate on every tick option
版本注释
Converted to pine v5 Added MTF parameter to Supertrend n°1
版本注释
When converting to pine v5, the style tab got altered. This update brings back the color and background customisation.
版本注释
Updated alert inputs
版本注释
New Strategy 'CyatoTrend' : an improved SuperTrend indicator that give less false signals in range markets. There are now 3 strategies available: 'CyatoTrend', 'SuperTrend' and 'Double SuperTrend'
版本注释
Small change to CyatoTrend: The 'CyatoTrend Range multiplier' input should better filter trades in sideways market.
版本注释
Fixed backtest table position input
版本注释
Added alert placeholders and triggering frequency option.
版本注释
Fix a bug with strategy status open profit calculation in backtest panel
版本注释
Added new strategy: Adaptive SuperTrend This custom version of SuperTrend will dynamicly change its ATR factor depending on the volatility. Instead of a fixed factor setting, we set a value for the 'basis'. This value will then be increased when volatility spikes, or decreased in ranging markets.