1. Narrative Reflexivity
Classical market hypothesis assumes asset prices adjust instantly to fundamental value. In reality, cryptocurrency markets exhibit extreme reflexivity. Public narrative and social sentiment influence trade flows, which in turn move prices, creating feedback loops of FOMO and panic.
Backtest models this feedback mechanism by translating subjective community texts into objective indicators, testing whether sentiment thresholds can anticipate market turning points.
2. The 5-Layer Sentiment Formula
Our blended sentiment score S_t dynamically combines five orthogonal telemetry streams:
3. Trend Following Archetype
The Trend Following archetype assumes that sentiment drives strong directional momentum. A buy trigger opens a long trade when the sentiment exceeds a bullish threshold, capturing macro appreciation.
4. Contrarian Mean Reversion
The Contrarian archetype exploits overreactions. Markets tend to exhaust themselves at extremes of panic (extreme negative sentiment) and euphoria (extreme positive sentiment).
5. Risk Adjusted Returns (Sharpe)
Returns are meaningless without factoring the volatility risk endured to earn them. The Sharpe Ratio evaluates risk-adjusted yield:
A Sharpe ratio below 1.0 indicates suboptimal returns relative to risk. Values between 1.0 and 2.0 represent strong execution, and values above 2.0 indicate exceptional trading systems.
6. Max Drawdown (MDD) Control
Maximum Drawdown measures the maximum percentage loss observed from a peak to a trough of portfolio equity before a new peak is attained.
In crypto, surviving black swan liquidations requires minimizing Max Drawdown. Strategists should use exit thresholds as emergency breakers to limit portfolio drawdown.