Systematic Trading | 
Nifty Options | 
Hedged Execution | 
Overnight Exposure
Most trading strategies focus on predicting where the market will go. Mathematician’s Credit Spread Overnight focuses on something even more important first:
“Is the market stable enough to trade?”
Built on the principles of Lyapunov Stability Theory, this strategy measures how small changes in market prices evolve over time. In mathematics, if tiny changes quickly grow into large differences, the system is considered chaotic. If they remain controlled, the system is relatively stable and predictable.
The Mathematics Behind the Strategy
The algo continuously tracks the divergence between consecutive option prices and calculates a Lyapunov Exponent.
High Lyapunov Exponent
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Market behaviour is unstable.
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Price movements become less predictable.
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The algorithm avoids or limits exposure.
Low Lyapunov Exponent
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Market conditions are relatively stable.
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Price behaviour becomes more structured.
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The algorithm looks for trading opportunities.
However, stability alone isn’t enough.
The strategy combines this stability measure with Regression Analysis (R² Score), which evaluates how well the current market follows a consistent directional pattern.
These two components are merged into a single Composite Alpha Signal:
High Alpha → Stable + Predictable Market → Bullish Credit Spread Setup.
Low Alpha → Weak Stability or Directional Bias → Bearish Credit Spread Setup or No Trade.
This dual-filter approach helps the strategy avoid trading during uncertain market conditions while participating when probabilities are more favorable.
Built Around Risk, Not Just Returns
Markets don’t stop when the trading session ends. Overnight, global developments, macroeconomic data, and unexpected events can completely change sentiment before the next opening bell.
That’s why Mathematician’s Credit Spread Overnight is designed with a defined-risk framework.
Rather than taking open-ended option positions, the strategy deploys a hedged credit spread structure, where both the potential reward and the maximum exposure are established before the trade begins.
Why does this matter?
The strategy knows its worst-case scenario before entering a trade.
Sharp overnight moves don’t create unlimited downside.
Capital preservation remains a key part of the trading process.
The philosophy is simple:
You can’t control the market, but you can control your risk.
By combining mathematical market selection with a structured options framework, the algo focuses on participating when conditions are favorable while keeping uncertainty within predefined limits.
How the Algo Operates
Before Market Close
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Analyzes option price behaviour.
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Measures market stability.
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Calculates the Composite Alpha Signal.
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Decides whether conditions justify a trade.
Overnight
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The position remains active while global events unfold.
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The hedge protects against extreme moves.
Next Trading Session
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The strategy follows predefined exit rules.
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No emotional intervention or discretionary decision-making is required.
Strategy Highlights
Minimum Allocation: ₹1,00,000
Maximum Allocation: ₹3,20,000
Backtest Period: 2 Years
Who Is This Strategy Designed For?
Traders comfortable with overnight exposure.
Investors who prefer quantitative, rule-based systems.
Participants looking for defined-risk option strategies.
Those who value discipline and consistency over impulsive trading decisions.
At its core, Mathematician’s Credit Spread Overnight isn’t trying to forecast every market move.
It first asks:
“Is this a market worth trading?”
Only when mathematics and statistics align does the strategy step in.
That’s the power of combining market stability, predictability, and disciplined risk management into one systematic trading framework.