README.md

metadata

title: Multi-Indicator Z-Score Scorer
emoji: 📊
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 4.44.1
python_version: 3.11
app_file: app.py
pinned: false
license: mit

Multi-Indicator Z-Score Scorer

Pure Pine Script port — no ML, no entity tracking. Technical analysis only.

How it works

1. Compute 4 indicators on close prices:

   • RSI (default 14)
   • MACD histogram (12/26/9)
   • Stochastic %K (14/3)
   • Trend (close − EMA 50)

2. Normalize each to a z-score over a rolling lookback window (default 100)

3. Weighted sum = composite z-score

4. Signals:

   • Buy when composite crosses above buy_level (default 1.5)
   • Sell when composite crosses below sell_level (default −1.5)

Input formats

CSV upload — needs a close column, optional high and low

Manual prices — comma or newline separated numbers (min 20)

Source

Python port of multi_indicator_zscore.pine. All indicator math matches Pine's built-ins: ta.rsi, ta.macd, ta.stoch, ta.ema, ta.sma, ta.stdev, ta.crossover, ta.crossunder.