What is Kelly Criterion?
The Kelly criterion suggests the fraction of capital to risk when you know win rate and payoff ratio. Full Kelly is aggressive; most traders use a fraction to reduce ruin risk.
Formula
Kelly % ≈ Win% − (Loss% ÷ R:R)
Indian market context (NSE)
Reference levels: Nifty 50 at 24,300, Reliance Industries at ₹1,300, Bank Nifty futures at 55,000 (lot size 30). Examples below show how Kelly Criterion shows up on Indian index, equity, and futures books — update to live quotes in your journal.
Nifty 50 perspective
Apply Kelly Criterion to your Nifty 50 sleeve (spot near 24,300): track the metric on closed index F&O or ETF trades over at least 30 sessions before changing rules. NSE costs and slippage on fast opens often widen the gap between spreadsheet kelly criterion and bank P&L.
Reliance Industries perspective
On Reliance (₹1,300) delivery or intraday trades, calculate kelly criterion with contract-note costs included. Single-name results can look strong on kelly criterion while your Nifty-correlated book tells the opposite — tag “RELIANCE” separately in TradeLyser.
Bank Nifty futures perspective
Bank Nifty futures near 55,000 (lot 30) amplify kelly criterion swings versus cash — one volatile session can move the metric more than a week of Nifty trades. Log margin mode (MIS/NRML) with each entry for honest review.
Fractional Kelly in practice
- Compute Kelly only on one stable strategy tag
- Cap live size at your written risk-per-trade rule
- Recompute quarterly, not after every green week
- Never increase size after Kelly rises on < 30 trades
How to validate
- Minimum sample: 30 closed trades on one strategy tag before trusting Kelly Criterion.
- Check for one outlier week inflating Kelly Criterion — export largest winners and losers.
- Recompute Kelly Criterion after including brokerage, STT, and slippage on F&O tags.
- Compare Kelly Criterion on the same date range as profit factor and max drawdown.
How to track in TradeLyser
- Open Strategy Board or analytics → filter by strategy tag and review period.
- Locate the widget or column reporting Kelly Criterion (or export trades to compute manually).
- Store snapshot values in weekly review: Kelly Criterion, profit factor, drawdown, trade count.
- If Kelly Criterion is custom, add a spreadsheet column fed from TradeLyser CSV export.
Best practices
- Publish Kelly Criterion per strategy, not only at account level.
- Use the same calculation window (weekly vs monthly) year-round.
- Pair Kelly Criterion with sample size in every review slide or note.
- Document formula used so mentors interpret the same number.
Common pitfalls
- Changing rules after fewer than 20 trades because Kelly Criterion moved slightly.
- Mixing intraday and positional tags when computing Kelly Criterion.
- Ignoring costs so Kelly Criterion looks better than banked P&L.
- Letting one outlier trade dominate the Kelly Criterion reading.
How to use this in TradeLyser
Export win rate and average R from Strategy Board. Spreadsheet Kelly beside actual risk ₹ logged on trades — compare plan vs live.
Related terms
Expectancy answers whether your edge pays each time you repeat the setup. Positive expectancy means the system earns over many trades; negative expectancy means it bleeds even with a high win rate.
Position sizing translates account risk into quantity. With a ₹2,000 risk cap and ₹40 stop per share, size is 50 shares — before lot multiples on F&O.
Risk per trade is the planned loss at your stop — not the notional value of the position. A ₹10 lakh notional trade might risk only ₹3,000.
Win rate is the share of your closed trades that closed in profit after costs. It tells you how often you are right — not how much you make when you are wrong.
FAQ
Full Kelly on live Nifty trading?
Full Kelly is aggressive; many use fractional Kelly or skip live Kelly sizing.
Kelly needs which inputs?
Win rate and payoff ratio on the same tag — garbage in breaks the formula.
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