Realized R-Multiple
Gained 3.0x your initial trade risk
Enter risk amount (1R) and profit or loss to get the R-multiple result.
Gained 3.0x your initial trade risk
Closed profitably above Entry Price
Spread: 22,300 - 22,000
Invalidation distance from entry
Evaluating trade outcome relative to predefined risk metrics across potential scenario states.
| Scenario State | Exit Price (₹) | R-Multiple | Points Yield | Portfolio Equity Impact (1% Risk Model) | Statistical Class |
|---|
Implement Van Tharp R-multiple trade plans with brokers providing advanced GTT orders, automated trailing stops, and multi-target scaling.
Deploy R-Multiple disciplined rules with automated Good-Till-Triggered (GTT) invalidation orders to lock in predefined risk.
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The R-Multiple concept, pioneered and popularized by world-renowned performance coach Dr. Van K. Tharp, standardizes trading performance regardless of account equity or lot size. In professional risk planning, "1R" always equals your initial unit of risk—the exact monetary distance between your trade entry point and your predefined stop-loss exit.
If you purchase a share or index contract at ₹22,000 and place your stop loss at ₹21,900:
₹100.+₹300.₹300 ÷ ₹100 = +3.00 R.
Key Institutional Insight: Consistently measuring your edge in R-Multiples is the fastest way to verify whether your trading system maintains positive mathematical expectancy across differing market cycles, irrespective of market volatility.
Key concepts and performance metrics from Van Tharp risk management
Traders executing with the R-Multiple & Trade Expectancy Calculator routinely pair these verified calculation engines to audit risk, transaction friction, and position expectancy.
Validate risk-to-reward ratios and minimum required win rates before executing entries.
Determine structural price invalidation points and max dollar capital at risk per trade.
Compare multiple trade setups side-by-side on risk, profit potential, and capital efficiency.
Simulate 1,000 random trade sequences to evaluate streak risk and expectancy distribution.
Find the exact minimum statistical win rate needed to break even at any risk/reward ratio.