Technosight Investment Insights
Sign Up Sign In
Strategy Catalog

6. Production Trading Strategy Catalog & Financial Profiles

Exhaustive econometric profiles for the six production trading strategy families evaluated in daily sweeps.

Target Audience: Quantitative Strategists, Research Analysts & Asset Allocators

Key Takeaways for Investors & Traders

Six Model Families

Encompasses mean reversion, statistical arbitrage, momentum, trend following, and range breakout models.

Complementary Regimes

Ensures the daily candidate pool provides opportunities across trending, ranging, and transitioning market regimes.

Mathematical Consistency

Every strategy emits standardized signal fields and custom indicators to feed the candidate scoring engine.

Risk-Managed Signals

All models include explicit stop-loss levels, volatility scalings, and take-profit targets.

Executive Summary

The Selected Stocks pipeline executes across six distinct strategy families, each operating on distinct mathematical foundations: Mean Reversion, Statistical Arbitrage, Momentum, Momentum Omega, Trend Following, and Volatility Breakout.

1

Mean Reversion & Statistical Arbitrage Profiles

1. Mean Reversion (MeanReversionStrategy)

  • Core Hypothesis: Asset prices oscillating beyond statistical equilibrium will revert to their historical rolling mean.
  • Primary Factor: Standardized Z-Score $Z_t = \frac{P_t - \mu_t}{\sigma_t}$. Long when $Z_t \le -2.0$, Short when $Z_t \ge +2.0$.
  • Validation: Ornstein-Uhlenbeck half-life ($t_{1/2}$) and 14-period RSI to prevent buying during cascading momentum runs.

2. Statistical Arbitrage (StatisticalArbitrageStrategy)

  • Core Hypothesis: Cointegrated equity pairs exhibit stationary spread dynamics that mean-revert over predictable horizons.
  • Primary Factor: Spread Z-score relative to cointegrating regression residuals.
  • Risk Control: Immediate stop-loss cutoff at $|Z_t| \ge 3.5$ to protect against permanent structural breaks.
2

Momentum, Trend Following & Volatility Breakout Profiles

3. Standard Momentum (MomentumStrategy)

  • Core Hypothesis: Past return winners over 3 to 12 months continue to outperform past losers over the subsequent holding period.
  • Primary Factor: 252-day cumulative return $R_{252}$, ranked cross-sectionally into quintiles ($q \ge 0.80$ Long, $q \le 0.20$ Short).

4. Momentum Omega (MomentumOmegaStrategy)

  • Core Hypothesis: Alpha is maximized by accelerating intermediate trends that exhibit subdued short-term volatility.
  • Primary Factor: Volatility-normalized return differential $\text{Score}_{\Omega}(t) = \frac{R_{\text{long}}(t) - R_{\text{short}}(t)}{\sigma_{126}(t)}$.

5. Trend Following (TrendFollowingStrategy)

  • Core Hypothesis: Sustained macro trends create serial autocorrelation ($\rho_1 > 0$) that can be captured with moving average crossovers and trailing volatility stops.
  • Primary Factor: Moving average percentage spread $\frac{\text{SMA}_{\text{fast}} - \text{SMA}_{\text{slow}}}{\text{SMA}_{\text{slow}}}$ confirmed by Chandelier ATR stops.

6. Volatility Breakout (VolatilityBreakoutStrategy)

  • Core Hypothesis: Periods of extreme volatility compression (consolidation) are inevitably followed by explosive directional expansion.
  • Primary Factor: Channel penetration beyond Keltner Bands confirmed by Volume Expansion Multiples ($\text{VEM} \ge 1.50$) and pre-breakout Bollinger squeezes.