Chaikin Oscillator Z-Score With Divergences [MAXmks]

28 בינו׳

Hello Traders,

This is my take on the Chaikin Oscillator — statistically normalized into a Z-Score with built-in divergence detection.

The problem with raw Chaikin
The standard ChO is unbounded and extremely sensitive to volume spikes. A single anomalous bar can flatten the entire oscillator, making it hard to compare signals across time or between instruments.

The fix
Z-Score normalization with asinh (inverse hyperbolic sine) transformation. While standard Z-Scores assume a normal distribution, market data often features "fat tails" (extreme outliers). This transformation compresses those spikes effectively, ensuring the indicator remains responsive without getting stuck during high-volatility events. The result: a more comparable scale across instruments.

What's inside:

• 
  [—] Adaptive normalization + EMA-based variance for smooth Z calculation
  [—] Regular and hidden divergence detection with segment validation (fewer false signals)
  [—] Gradient coloring that intensifies toward extremes
  [—] Dashboard with current Z value
  [—] Pre-built alerts for OB/OS entries/exits and all divergence types
  

Note: This is a volume-based indicator. No volume = no signal. If you see "No Volume Data" in the dashboard, switch to a data source that provides volume.

Works on any timeframe. Feedback welcome.
For analysis purposes, not financial advice.

30 בינו׳

הערות שחרור

1. Fixed long-history “empty/short” plotting on some symbols/timeframes by preventing early na cascade in the smoothing/normalization chain (EMA inputs are now safely stabilized).

2. Warmup logic aligned to the actual required history: the indicator starts producing values after the longest active lookback (max of the smoothing and Z-score lengths), instead of staying silent longer than needed.

3. Added a dashboard warning when the chart has insufficient bars for a reliable output (“Need X+ bars”), so you immediately see why values may be missing.