The SuperTrend Indicator and Strategy built upon Average True Range.
- Backtest Version - >> READ HOW TO USE HERE <<
發行說明
Added a visual feature "show opposite trend line"
發行說明
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 !
發行說明
Bugfix: backtest input dates
發行說明
New feature: ADX sideways filter
發行說明
Bugfixes regarding MTF ADX Filter
發行說明
Added configuration panel in the graphic options.
發行說明
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.
發行說明
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.
發行說明
Small fix to prevent strategy orders to trigger several times when using recalculate on every tick option
發行說明
Converted to pine v5 Added MTF parameter to Supertrend n°1
發行說明
When converting to pine v5, the style tab got altered. This update brings back the color and background customisation.
發行說明
Updated alert inputs
發行說明
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'
發行說明
Small change to CyatoTrend: The 'CyatoTrend Range multiplier' input should better filter trades in sideways market.
發行說明
Fixed backtest table position input
發行說明
Added alert placeholders and triggering frequency option.
發行說明
Fix a bug with strategy status open profit calculation in backtest panel
發行說明
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.