Trade Comparison Calculator

Enter parameters for two different trades to see which has better risk-adjusted metrics.

Executive Summary: Compare two trade setups side by side on risk, reward, expectancy and capital required.

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Calculator Inputs

Precision prices & risk parameter points

Point Basis

A Setup A

Baseline

Entry Price

₹

Stop Loss -5.00 pts

₹

Target (TP) +15.00 pts

₹

Risk Pts: 5.00

Reward Pts: 15.00

R:R Multiplier: 1 : 3.00

B Setup B

Optimal

Entry Price

₹

Stop Loss -2.00 pts

₹

Target (TP) +10.00 pts

₹

Risk Pts: 2.00

Reward Pts: 10.00

R:R Multiplier: 1 : 5.00

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Risk Normalization: Position sizing dynamically balances differing stop distances to ensure risk parity across both setups.

Setup Payoff & Edge Visualizer

1R Risk Reward (R)

A Setup A (₹100 / SL 95 / TP 115)

SL: 5.00% R:R 1 : 3.00 (3.00R)

-1R (5.0%)

+3.00R Gain Zone ₹15.00 Pts

B Setup B (₹50 / SL 48 / TP 60) +66.7% R/R

SL: 4.00% (Tighter) R:R 1 : 5.00 (5.00R)

-1R (4.0%)

+5.00R Gain Zone ₹10.00 Pts

Stop Loss Delta -1.00% in Setup B Capital Risk Reduction in B

Extra Reward Per Unit +2.00 R Units Setup B gives ₹5 per ₹1 risked

Breakeven Advantage -8.33% Win Rate Requires lower win rate

Expected Return per 100 Trades (At Fixed 1R = ₹1,000 Risk)

EV Model

At 40% Win Rate

Setup A: +0.60R (+₹600)

Setup B: +1.40R (+₹1,400)

Setup B: +133.3% EV

At 50% Win Rate

Setup A: +1.00R (+₹1,000)

Setup B: +2.00R (+₹2,000)

Setup B: +100.0% EV

At 60% Win Rate

Setup A: +1.40R (+₹1,400)

Setup B: +2.60R (+₹2,600)

Setup B: +85.7% EV

STATISTICAL EVALUATION

Primary Comparison Results

Auto-computed mathematical edge metrics comparing risk profiles, breakeven boundaries, and real return efficiency.

SUPERIOR SETUP verified

Setup B (Higher R/R)

+66.7% higher reward per unit of risk with 20% tighter stop distance

Expected Edge: +1.40 R @ 40% Win

Setup A Metrics A

Risk/Reward: 1 : 3.00

Stop Distance: 5.00%

Breakeven Win Rate: 25.00%

Exp. Return (40% Win): +0.60 R

Setup B Metrics (Edge) B

Risk/Reward: 1 : 5.00

Stop Distance: 4.00% (Optimal)

Breakeven Win Rate: 16.67%

Exp. Return (40% Win): +1.40 R

Edge Differential trending_up

Delta R:R: +2.00 R Advantage

Accuracy Cushion: -8.33% Req. Win

Capital Efficiency: Setup B Wins

Net Advantage: +133% Expectancy

SCENARIO SENSITIVITY

Expectancy Trajectory Matrix

Direct mathematical projection across win-rate scenarios to evaluate edge stability.

Standard Normalization: Risk = 1.00R / trade

Win Rate (%)	Setup A Return	Setup B Return	Mathematical Winner	Edge Differential	DD Tolerance (1% risk)

info

Key Rule: Drawdown is identical when normalized by risk percent.

Because risk is measured in units of 'R' (such as 1% of total portfolio value), both setups yield identical loss amounts on failed trades. However, every winning trade in the higher R:R setup generates significantly higher capital expansion.

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PROFESSIONAL QUANT PROTOCOL

Why Compare Trades? Trade Selection & Expectancy

Professional traders operate systematically by only accepting setups that provide superior mathematical edge, lower capital lockup, and higher R-multiple return on risk.

The Comparison Rules

When comparing two setups, analyze these core parameters:

check_circle Risk/Reward Ratio: The higher the reward relative to risk, the stronger the long-term compounding edge.
check_circle Stop Distance %: A wider stop allows room for natural volatility, while a tighter stop permits larger position weighting within a fixed risk budget.
check_circle Required Win Rate: The trade with the superior R/R ratio lowers your breakeven threshold, cushioning you against losing streaks.

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Note: Confluence over Pure Math

While Setup B may deliver superior payoff ratios, Setup A might possess higher order book support or volume profile confluence. Always merge mathematical expectancy with proven price action confirmation.

functions Mathematical Model Equations

Risk/Reward (R:R)


                      (Target - Entry) / (Entry - StopLoss)

Payoff per rupee risked.

Breakeven Win Rate (BE%)


                      1 / (1 + Reward_to_Risk)

Minimum strike rate to avoid decay.

FREQUENTLY ASKED QUESTIONS

Trade Decision FAQs

Quantitative guidance on trade selection, capital allocation, and risk management.

Trade Decision Guidelines

What if Setup A has a higher win rate probability than Setup B? expand_more

If historical testing shows Setup A wins 60% of the time (+1.40R) while Setup B only wins 30% (+0.80R), Setup A becomes mathematically superior! Always calculate: Expected Value = (Win Rate × Reward) - (Loss Rate × Risk).

How does position sizing adjust between different stop distances? expand_more

Position size scales inversely with stop distance. For a fixed ₹10,000 risk budget, a 5.00% stop allows a ₹2,00,000 position size, whereas a 4.00% stop permits a ₹2,50,000 position size, ensuring identical absolute risk in both trades.

Should I take both trades if I have available capital? expand_more

Taking both trades is acceptable provided their underlying instruments are uncorrelated. If both are in the same sector (e.g. NIFTY Bank), taking both doubles your aggregate risk exposure to a single macro event.

How does commission and slippage impact tight stop loss setups? expand_more

Extremely tight stop loss setups (e.g., <1.5%) suffer more heavily from slippage and exchange transaction fees on a percentage basis. A 4.00% stop is generally robust enough to resist standard retail exchange churn.

warning

Capital Preservation Principle: Never exceed 1.0%–2.0% risk per trade. Higher R:R ratios should be utilized to harvest alpha, not to justify reckless leverage.

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