Metrics turn journal data into decisions. This hub covers frequency stats (win rate), quality stats (profit factor, expectancy), and risk stats (drawdown, Sharpe). Each term links to Indian market examples and TradeLyser workflow notes so you can tag trades consistently before changing rules or size.
45 terms · Editorial policy → · Trading system → · Analytics guides →
Absolute return measures total percentage gain or loss without benchmarking to Nifty. Formula, review habits, and target bands for Indian trading accounts.
Alpha is return above a chosen benchmark after adjusting for market exposure. How Indian traders use it in journal review vs marketing claims.
Average holding time shows how long trades stay open. Scalps vs swings on same account.
Average loss is mean loss on losing trades. Costs and slippage on Bank Nifty change the number.
Average win is mean profit on winning trades. Track per strategy on NSE books in TradeLyser.
Batting average blends win rate and payoff in one number. Quick setup health read on NSE tags.
Beta measures sensitivity to a benchmark like Nifty 50. Learn calculation intuition, hedging, and how to tag beta exposure in TradeLyser.
CAGR smooths multi-year account growth into one annual rate. Formula, validation on Indian trading books, and journal use in TradeLyser.
Calculation method defines how buys and sells pair for P&L — FIFO, LIFO, or average cost. Consistency for Indian tax reconciliation.
Calmar ratio divides annualised return by max drawdown. A compact reward-to-pain metric for trading book review.
Consecutive losses track losing streak length. Psychology and size rules on Indian books.
Correlation measures how two instruments move together. Pairs, hedges, and portfolio heat on NSE.
Drawdown measures how far current equity sits below its last peak. Difference from max drawdown and how to set live pause triggers.
Edge is repeatable advantage after costs. Prove it per tag on Indian books before scaling.
An equity curve plots cumulative account value over time. How to read slope, flat spells, and per-strategy curves in TradeLyser.
Expectancy is the average amount you expect to make or lose per trade. Formula, rupee and R-multiple views, and how to split by strategy tag.
Fixed fractional sizing risks a set % of equity per trade. Core sizing model for retail journals.
Information ratio measures active return per tracking error vs benchmark. Fund-style metric for Nifty-relative books.
Kelly estimates optimal bet size from edge and odds. Why retail traders use fractional Kelly on Bank Nifty and stock tags.
MAE is worst open loss during a trade. Stop tuning on Nifty and Reliance tags.
Max drawdown is the largest peak-to-trough fall in your equity curve. Learn the formula, recovery math, and how Indian traders set pause rules.
Daily loss cap stops spiral days. Non-negotiable rule for many NSE day traders.
MFE is peak open profit before exit. Exit efficiency review on Indian intraday tags.
MFE is best open profit during a trade. Exit efficiency on intraday NSE setups.
Monte Carlo shuffles trade sequences to stress-test equity curves. Robustness check before live NSE size.
Omega ratio captures full return distribution above threshold. Tail-aware performance on options books.
P&L tracks realised and unrealised trading gains and losses. Gross vs net, tagging by symbol, and weekly review habits for Indian accounts.
Payoff ratio compares average win to average loss. Key for expectancy on Indian intraday tags.
Portfolio heat is total open risk across positions. Multi-leg F&O and stock books.
Profit factor divides gross profits by gross losses. Learn the formula, how to read it per strategy in TradeLyser, and benchmark ranges for Indian retail traders.
R-multiple normalises profit and loss by initial risk. Core journal metric for Nifty and stock setups in TradeLyser.
Recovery factor divides net profit by max drawdown. Quick view of how efficiently profits compensated for drawdown pain.
Risk budget allocates total risk across strategies or weeks. Planning tool for multi-setup traders.
Risk of ruin estimates probability of blowing up capital. Size and streak math for F&O books.
Risk-reward compares planned profit to planned loss on a trade. R-multiple logging, win-rate pairing, and journal discipline.
ROI measures return relative to capital deployed. Gross vs net on NSE trades, validation rules, and TradeLyser tracking.
Sharpe ratio compares return per unit of volatility. When it helps Indian traders, limitations on short samples, and alternatives in TradeLyser.
Sortino ratio is like Sharpe but penalises downside volatility only. When it beats Sharpe for asymmetric return streams.
Standard deviation measures return dispersion. Volatility input for Sharpe and sizing.
SQN scales expectancy by trade count to rank system quality. Van Tharp framework adapted for tagged journal samples.
Trade frequency is trades per day or week. Overtrading detector on high-turnover NSE books.
Two percent rule caps risk per trade near 2% of equity. Popular teaching rule — adapt to your book.
Volatility measures how much prices or returns swing. Realised vs implied, position sizing, and Nifty/Bank Nifty context for Indian traders.
Win-loss streaks describe runs of wins or losses. Regime and luck separation in review.
Win rate shows what share of closed trades finished profitable. See the formula, Indian examples, and why expectancy matters more than the percentage alone.
Start journaling with
TradeLyser
Connect your broker, tag strategies, and review performance with AI-assisted insights.