⚔️ Proprietary Trading Strategies — The Seven Pillars
Complete documentation of all 7 alpha-generating systems
Portfolio Allocation
Strategy weight distribution
HMM Regime-Adaptive Momentum
Thesis
Exploit the asymmetric return profile of leveraged ETFs by dynamically switching exposure based on HMM regime state.
Instruments
TQQQ (3x bull), SQQQ (3x bear), QQQ (1x), TLT (bonds), Cash
Entry Rules
- ▸Bull regime (>70% confidence): Long TQQQ, entry on pullback to 20 EMA
- ▸Transition: Deleverage to QQQ, tighten stops to 1.5x ATR
- ▸Bear regime (>70% confidence): SQQQ position or rotate 100% to TLT/cash
- ▸Low confidence (<60%): Reduce all positions by 50%
Exit / Risk
Trailing stop at 2x ATR, regime transition override, max hold 20 days in transition
Edge
Leveraged ETFs compound favorably in trending regimes. By avoiding leverage during transitions/bear markets, we capture the upside while avoiding volatility drag.
📎 Moskowitz, Ooi & Pedersen (2012) "Time Series Momentum"; Barroso & Santa-Clara (2015) "Momentum Has Its Moments"
Mean Reversion Scalper
Thesis
RSI(2) extreme oversold conditions on QQQ revert to mean with 75–80% historical success rate over 5-day holds.
Instruments
QQQ, SPY
Entry Rules
- ▸RSI(2) < 10 AND price below lower Bollinger Band AND Bull/Transition regime
Exit / Risk
RSI(2) crosses above 70 OR 5-day max hold. Hard stop: 3% below entry.
Edge
One of the most statistically robust short-term signals in equity markets. Larry Connors documented 75%+ win rate since 1993.
📎 Connors & Alvarez (2009) "Short Term Trading Strategies That Work"
TQQQ/TLT Relative Strength Rotation
Thesis
Risk-on/risk-off rotation between leveraged equities and long-duration treasuries based on relative momentum and SMA trend.
Instruments
TQQQ, TLT
Entry Rules
- ▸Weekly evaluation. TQQQ when price > 200 SMA AND relative strength vs TLT positive
- ▸TLT when TQQQ < 200 SMA
- ▸Split 50/50 during uncertainty
Exit / Risk
Weekly rebalance based on relative strength score
Edge
Captures the negative correlation between equities and treasuries during stress events. TLT gained 14% during March 2020 while TQQQ fell 70%.
📎 Keller & Butler (2015) "Flexible Asset Allocation"; Faber (2007) "A Quantitative Approach to Tactical Asset Allocation"
0DTE Options Premium Harvesting
Thesis
Systematic premium collection through short-dated options, exploiting the accelerating theta decay curve in final 24 hours.
Instruments
QQQ 0DTE puts (sell), SPY 0DTE iron condors
Entry Rules
- ▸Sell OTM puts/condors at market open
- ▸Delta-neutral targeting
- ▸Close at 50% profit or 30 min before expiry
Exit / Risk
50% profit target OR 30 minutes before expiry. Max 2% portfolio per trade. Disabled during VIX > 30.
Edge
Implied volatility consistently overprices realized volatility (the variance risk premium). One of the most well-documented anomalies in finance.
📎 Bakshi & Kapadia (2003) "Delta-Hedged Gains and the Negative Market Volatility Risk Premium"
Earnings Momentum Capture
Thesis
Post-earnings announcement drift (PEAD) — stocks that beat estimates continue drifting in the earnings direction for 60+ days.
Instruments
Individual equities post-earnings
Entry Rules
- ▸Enter within 2 days post-earnings if: EPS beat > 5%
- ▸Positive price reaction
- ▸Above-average volume
Exit / Risk
20–40 trading day hold period
Edge
PEAD is one of the most persistent anomalies in finance, documented since Ball & Brown (1968). The market systematically underreacts to earnings surprises.
📎 Bernard & Thomas (1989) "Post-Earnings-Announcement Drift"
VIX Crush (Volatility Mean Reversion)
Thesis
VIX exhibits strong mean-reverting behavior. Extreme VIX spikes > 30 revert with high probability, creating opportunities in volatility instruments.
Instruments
SVXY, UVXY (short), SPY calls
Entry Rules
- ▸VIX > 28 AND VIX term structure in backwardation
Exit / Risk
VIX returns to 20-day SMA OR 20-day max hold
Edge
VIX mean reversion is one of the most reliable statistical properties in financial markets. The VRP (volatility risk premium) averages 3–4% annually.
📎 Eraker (2004) "Do Stock Prices and Volatility Jump?"
QQQ+BTC Cross-Signal
Thesis
Correlation regime between QQQ and BTC-USD provides leading signals for risk appetite. When both trend in same direction with volume confirmation, it signals strong directional conviction.
Instruments
QQQ, BTC-USD
Entry Rules
- ▸Both assets trending same direction (20 EMA > 50 EMA)
- ▸Volume ratio > 1.2x for both
Exit / Risk
Divergence in trend direction OR volume exhaustion
Edge
Novel cross-asset signal exploiting increasing correlation between tech equities and crypto in risk-on environments (correlation rose from 0.15 in 2019 to 0.62 in 2024).
📎 Proprietary research — smallest allocation due to shorter track record. Primarily signal enhancer, not core alpha.