AlphaRsiPro

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class backtide.strategies.AlphaRsiPro(period=14, vol_window=20)

Advanced Relative Strength Index with adaptive overbought/oversold levels.

An advanced RSI variant that computes adaptive overbought and oversold thresholds based on recent volatility, and adds a trend-bias filter to avoid counter-trend entries. In strong uptrends the oversold level is raised so buy signals fire earlier; in downtrends the overbought level is lowered so sells trigger sooner. Useful for reducing false signals in trending markets compared to a plain RSI strategy.

Parameters	period : int, default=14 RSI look-back period. vol_window : int, default=20 Window for the volatility-based level adjustment.
Attributes	name : str Human-readable strategy name. is_multi_asset : bool Whether this is a multi-asset strategy.

See Also

AdaptiveRsi

Relative Strength Index with a dynamically adaptive look-back period.

HybridAlphaRsi

Full-featured Relative Strength Index combining adaptive period, levels, and trend filter.

Rsi

Relative Strength Index combined with Bollinger Bands for dual confirmation.

Methods

description	Short explanation of what the strategy does.
required_indicators	Indicators that must be computed up-front for this

method backtide.strategiesdescription()

Short explanation of what the strategy does.

Returns

str The description.

method backtide.strategiesrequired_indicators()

Indicators that must be computed up-front for this

strategy.

Returns a list of indicator instances, already parameterised with this strategy's current settings, that the engine will auto-include before the simulation starts.

Returns

list The required indicator instances.