📊 Trading Edge Calculator

See the real numbers you need to become profitable. Adjust your strategy with data, not dreams.

⚙ Trade Parameters
0.1 Drag to auto-update Profit field 5.0
$ Account & Risk
📐 Kelly Criterion
📈 Your Trading Edge
Expected Value (per trade)
$0
Enter your numbers
Min Win Rate to Break Even
0%
At your current R:R
Profit Factor
0.00
Target: > 1.0
Your Edge
0%
Win rate minus break-even
Actual R:R Ratio
1.00
Reward / Risk
Avg $ Per Trade
$0
Expected $/trade

Projected Results (per 100 trades)

Wins
50
Losses
50
Gross Profit
$10,000
Net P/L
$0

EV vs Win Rate (by R:R Ratio)

How to read this chart:
Each colored line is a different Risk:Reward ratio. The green zone (above $0) is where you're profitable. The red zone (below $0) is where you lose money. The point where a line crosses $0 is your break-even win rate.

Example: With a 2.0R trade (risk $100 to make $200), you only need ~33% wins to break even. With a 1.0R trade, you need 50%. Higher R:R = lower win rate needed!

Min Win Rate Required by R:R

How to read this chart:
This shows the minimum win rate you need to break even at each R:R level. Your actual win rate must be ABOVE this line to be profitable.

The math: Break-even win rate = 1 / (1 + R:R). At 1.0R you need 50%. At 2.0R you need 33.3%. At 3.0R you need just 25%.

📖 Key Terms Explained

R:R (Risk-to-Reward Ratio)

The ratio of how much you risk losing vs. how much you target to gain on each trade.

R:R = Average Profit / Average Loss

1.0R means you risk $100 to make $100 (1:1). You need a 50% win rate to break even.
2.0R means you risk $100 to make $200 (1:2). You only need 33.3% wins to break even.
2.5R means you risk $100 to make $250 (1:2.5). You only need 28.6% wins to break even.
0.5R means you risk $100 to make $50 (1:0.5). You need 66.7% wins to break even.

EV / Trade (Expected Value)

The average dollar amount you expect to make (or lose) on each trade, accounting for your win rate and R:R.

EV = (Win% × Avg Profit) - (Loss% × Avg Loss)

If EV is positive, your system is profitable over time.
If EV is negative, you will lose money over time regardless of how "good" individual trades look.

#R (in Scenario Table)

The #R column shows the R:R ratio. The number before "R" = how many units of reward per 1 unit of risk.

2.5R = risk $1 to potentially gain $2.50

So in the scenario table, "2.0R" = a trade where you target 2x what you risk. If you risk $200, you aim for $400 profit on a win.

Profit Factor

Gross profits divided by gross losses. A profit factor of 2.0 means you make $2 for every $1 you lose. Target: above 1.0 (above 1.5 is solid, above 2.0 is excellent).

Profit Factor = (Win% × Avg Profit) / (Loss% × Avg Loss)
Your Edge

How far your actual win rate is above (or below) the break-even win rate. A positive edge means you have a statistical advantage.

Edge = Your Win Rate - Break-Even Win Rate
Kelly Criterion

A formula that tells you the optimal fraction of your account to risk per trade to maximize long-term growth. Most traders use Half-Kelly (half the recommended amount) for safety.

f = (p × RR - q) / RR

where p = win probability, q = 1-p, RR = reward-to-risk ratio.

📋 Scenario Analysis
What this table shows: The Expected Value (EV) for different combinations of Win Rate and R:R (Risk:Reward). The "Your Inputs" row highlights your current settings.

#R column: The Risk:Reward ratio. 1.0R = risk $1 to make $1. 2.0R = risk $1 to make $2. 2.5R = risk $1 to make $2.50.
EV/Trade: Average $ you make per trade at that win rate and R:R. Per 100 Trades: Projected profit or loss over 100 trades. Green = profitable. Red = losing.
Win Rate R:R (#R) EV / Trade Per 100 Trades Status
🎲 Monte Carlo Simulation

Simulates thousands of random trading sequences using your win rate and avg profit/loss to show the range of possible outcomes and your probability of ruin (losing most of your account).

Equity Distribution After 100 Trades

How to read: Green bars = accounts that grew. Red bars = accounts that lost more than half. Orange = accounts that declined but survived. The wider the spread, the more uncertainty in outcomes.
Median Final Equity
$0
Best Case (95th)
$0
Worst Case (5th)
$0
Probability of Ruin
0%
Avg Max Drawdown
0%
Std Deviation
$0

Sample Equity Curves (first 20 simulations)