Why do my crypto symbols fail the price filter in trading scripts?

Standard equity filters often have a maximum price limit (e.g., $10,000) that high-value assets like Bitcoin exceed; this skill creates a separate path that removes that cap for crypto.

How does this skill handle yfinance data gaps?

It reduces the volume consistency requirement to 30% and skips non-essential data quality checks that frequently flag yfinance data gaps as asset failures.

Is it safe to skip spread and data quality checks?

Yes, for crypto assets, these checks often flag data provider issues rather than asset quality. The skill retains essential checks like minimum bars and price to maintain safety.

Should I use this if I have access to the Alpaca API?

While this skill provides a fallback for yfinance, using high-quality data like the Alpaca API is the best practice as it naturally resolves most filter issues.

Crypto Hard Filter Simplification

Name: Crypto Hard Filter Simplification
Author: smith6jt-cop

bysmith6jt-cop

Ciencia de Datos y ML

Streamlines cryptocurrency asset selection by bypassing irrelevant equity filters and handling data gaps in financial datasets.

Acerca de

This skill optimizes the asset selection process for cryptocurrency trading by implementing a dedicated filtering logic that accounts for crypto-specific price scales and data quality nuances. It prevents valid crypto symbols from being erroneously rejected due to traditional equity constraints—such as maximum price limits or strict volume consistency thresholds—ensuring that only essential checks like minimum bars and floor pricing are applied when high-quality data sources are unavailable or inconsistent.

Características Principales

Prevents high-value assets like BTC from failing traditional maximum price caps
0 GitHub stars
Implements a specialized validation path specifically for cryptocurrency assets
Bypasses irrelevant equity-based filters including spread, data quality, and trading status
Maintains essential safety checks for training data length and minimum price floors
Relaxes volume consistency requirements to 30% to accommodate yfinance data gaps

Casos de Uso

Optimizing algorithmic trading pipelines for the higher volatility of crypto markets
Preventing high-value cryptocurrencies from being filtered out by equity-centric price limits
Reducing false failure rates in asset selection when using yfinance as a data source

Acerca de

Características Principales

Prevents high-value assets like BTC from failing traditional maximum price caps
0 GitHub stars
Implements a specialized validation path specifically for cryptocurrency assets
Bypasses irrelevant equity-based filters including spread, data quality, and trading status
Maintains essential safety checks for training data length and minimum price floors
Relaxes volume consistency requirements to 30% to accommodate yfinance data gaps

Casos de Uso

Optimizing algorithmic trading pipelines for the higher volatility of crypto markets
Preventing high-value cryptocurrencies from being filtered out by equity-centric price limits
Reducing false failure rates in asset selection when using yfinance as a data source