₿ Bitcoin Mean Reversion — Live Strategy Analysis
Trade price mean-reversion during range-bound or transitional regimes. Updated hourly with live data from the Algo Tick API.
Current State — March 12, 2026
Strategy Overview
Mean reversion strategies profit from the tendency of prices to revert to their short-term average. When the composite signal detects a 'mean_reverting' regime, prices oscillate around a central value rather than trending. The strategy buys oversold conditions and sells overbought conditions.
The Math
Entry when Z-Score of 1h returns exceeds ±2σ. Target: reversion to VWAP. Stop: 3σ breakout beyond entry.
Risk Factors
Risk of regime transition from mean-reverting to trending while positioned. Volatility regime must be LOW or NORMAL for reliable reversion.
Automate This Strategy
Get this exact signal via our API. Here are the endpoints you need:
# Composite signal
curl -H "X-API-Key: YOUR_KEY" \
https://algotick.dev/v1/signals/composite?coin=BTC# Regime signal
curl -H "X-API-Key: YOUR_KEY" \
https://algotick.dev/v3/signals/regime?coin=BTC# Volatility signal
curl -H "X-API-Key: YOUR_KEY" \
https://algotick.dev/v1/signals/volatility?coin=BTCDon't run this strategy manually
Every data point on this page is available via our sub-millisecond API. Build a bot that executes this Mean Reversion strategy automatically.
Get API Key → See code templates →Related Strategies — Bitcoin
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