Stratzy Algo – January 2026
“A Month of Correction & Caution”
January 2026 reminded us of an important truth:
Markets don’t reward aggression every month — they reward discipline.
While indices looked relatively stable on the surface, the internal market structure weakened steadily, making this a month where risk management mattered more than returns.
Market Snapshot
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Nifty 50: 26,173 → 25,320
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Bank Nifty: 59,674 → 59,610
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India VIX: 9.50 → 13.65 (Volatility expanded)
Market Read
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Slow but consistent correction
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Rising fear premium toward month-end
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Reduced liquidity & conviction
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Tough environment for trend-following systems
What Shaped January
Indian Markets
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Nifty & Sensex entered a corrective phase
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Profit booking ahead of Union Budget 2026
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Rotation out of expensive consumption stocks
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Money moved toward Metals & PSU Banks
Global Cues
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US Fed held rates steady at 3.50%–3.75%
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Global indices stayed range-bound
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Trade tension concerns (US–India, Russian oil exposure)
Institutional Activity
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Sustained FII selling pressure
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Large-caps remained under stress
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Defensive positioning dominated
Theme of the month:
Defensive play, capital protection, selective aggression.
Credit Spreads — Monthly Performance
Credit spreads once again highlighted why they are treated as portfolio stabilizers, not return-maximizers.
| Credit Spread Strategy | Jan 2026 P&L |
|---|---|
| IV-Imbalance Credit Spread Overnight | +35.77% |
| Theta-Flux Credit Spread Overnight | +30.18% |
| Chain-Sync Credit Spread Overnight | +15.80% |
| Rolling-Carry Credit Spread (Exit-Early) | +13.08% |
| Damper Credit Spread | +11.55% |
| Curvature Credit Spread Overnight | +7.26% |
| Zen Credit Spread Overnight | +5.39% |
| V-Score Credit Spread Overnight | -0.46% |
| Theta-Harvest Credit Spread (Expiry) | -1.00% |
| Delta-Leverage Credit Spread Overnight | -2.76% |
| Hamilton’s Credit Spread | -2.96% |
| Drifting Credit Spread Overnight | -6.89% |
| Ratio-Return Credit Spread Exit-Early | -10.03% |
| Delta-Rotation Credit Spread Expiry | -10.94% |
| Super Entropy Credits | -10.66% |
| Mathematician’s Credit Spread Overnight | -11.06% |
| Vega-Shift Credit Spread (Expiry) | -15.60% |
| Convex Credit Spread Overnight | -17.19% |
| Gamma-Fluxer Credit Spread Overnight | -27.30% |
January proved that not all credit spreads behave the same.
Structure, volatility filters, and exit logic made the difference.
Short Strangles — Monthly Performance
| Short Strangle Strategy | Jan P&L |
|---|---|
| Intraday Short Strangle | +2.49% |
| Carry Forward Strangle | +0.50% |
| Premium-Zone Strangle | -1.22% |
| Compressed Strangle | -1.66% |
| Theta-Zone Strangle | -2.68% |
| Flux Strangle | -6.27% |
| Holonomy’s Short Strangle | -6.44% |
| Expiry Short Strangle | -6.50% |
With rising VIX and unstable ranges, theta decay was inconsistent.
Short Straddles & Index Strategies
| Strategy | Jan P&L |
|---|---|
| Single Lattice Straddle | +5.53% |
| Stratzy’s Index Strategies | +3.10% |
| Lattice Short Straddles | +0.94% |
| Single Tightgrip Straddle | -0.18% |
| Single Kurtosis Straddle | -8.60% |
| Quiet Short Straddle | -7.44% |
| Single Rangetrap Straddle | -18.59% |
Selectivity worked. Overexposure didn’t.
Aggressive Options & RR Systems
| Strategy | Jan P&L |
|---|---|
| Burst GRID (30% SL) | +53.59% |
| Burst RR 1:2 (25% SL) | +44.16% |
| SkewHunter TSL | +34.54% |
| Fixed RR 1:3 (30% SL) | +30.65% |
| SkewHunter | +27.37% |
| Index Sniper | -33.03% |
| Index Scalper | -51.32% |
| Vacuum GRID (35% SL) | -67.36% |
January clearly separated:
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Capital-efficient aggression
from -
Emotion-driven exposure
Key Takeaways
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Index stability hid internal weakness
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Volatility expansion punished naked risk
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Credit spreads provided balance
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Aggressive systems showed extreme dispersion
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Portfolio construction > single-strategy brilliance
Where Stratzy Alpha Portfolio Fits
January is a textbook example of why Stratzy Alpha Portfolio is built the way it is:
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ETF-based investing for stability
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Pledged collateral for efficiency
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Algo trading with defined exposure
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Focus on drawdown control, not monthly bragging rights
Systematic Alpha. Intelligent Risk.
January taught us one thing, it’s this:
Survival months matter more than winning months.
What was your biggest learning from January 2026?