.trading-calculator-wrapper {
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
max-width: 800px;
margin: 0 auto;
background: #fff;
padding: 20px;
border-radius: 8px;
box-shadow: 0 2px 10px rgba(0,0,0,0.1);
color: #333;
}
.tc-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 20px;
}
@media (max-width: 600px) {
.tc-grid { grid-template-columns: 1fr; }
}
.tc-input-group {
margin-bottom: 15px;
}
.tc-input-group label {
display: block;
margin-bottom: 5px;
font-weight: 600;
font-size: 14px;
color: #2c3e50;
}
.tc-input-group input {
width: 100%;
padding: 10px;
border: 1px solid #ddd;
border-radius: 4px;
font-size: 16px;
box-sizing: border-box;
}
.tc-input-group input:focus {
border-color: #3498db;
outline: none;
}
.tc-btn {
background-color: #27ae60;
color: white;
border: none;
padding: 12px 20px;
font-size: 16px;
font-weight: bold;
border-radius: 4px;
cursor: pointer;
width: 100%;
margin-top: 10px;
transition: background 0.2s;
}
.tc-btn:hover {
background-color: #219150;
}
.tc-results {
margin-top: 30px;
padding: 20px;
background-color: #f8f9fa;
border-radius: 6px;
border-left: 5px solid #27ae60;
display: none;
}
.tc-result-row {
display: flex;
justify-content: space-between;
padding: 8px 0;
border-bottom: 1px solid #eee;
}
.tc-result-row:last-child {
border-bottom: none;
}
.tc-result-label {
color: #555;
font-weight: 500;
}
.tc-result-value {
font-weight: 700;
color: #2c3e50;
}
.tc-highlight {
color: #27ae60;
font-size: 1.2em;
}
.tc-warning {
color: #e74c3c;
}
.tc-article {
margin-top: 40px;
line-height: 1.6;
color: #444;
}
.tc-article h2 {
color: #2c3e50;
margin-top: 30px;
border-bottom: 2px solid #eee;
padding-bottom: 10px;
}
.tc-article h3 {
color: #34495e;
margin-top: 20px;
}
.tc-article ul {
padding-left: 20px;
}
.tc-article li {
margin-bottom: 8px;
}
function calculateWinRate() {
// Get input values
var winsInput = document.getElementById('numWins').value;
var lossesInput = document.getElementById('numLosses').value;
var avgWinInput = document.getElementById('avgWin').value;
var avgLossInput = document.getElementById('avgLoss').value;
// Parse values
var wins = parseFloat(winsInput) || 0;
var losses = parseFloat(lossesInput) || 0;
var avgWin = parseFloat(avgWinInput) || 0;
var avgLoss = parseFloat(avgLossInput) || 0;
// Basic Validation
var totalTrades = wins + losses;
if (totalTrades === 0) {
alert("Please enter the number of winning and losing trades.");
return;
}
// Calculations
var winRate = (wins / totalTrades) * 100;
// Risk Reward Calculation (Avg Win / Avg Loss)
var riskReward = 0;
var riskRewardStr = "N/A";
if (avgLoss > 0) {
riskReward = avgWin / avgLoss;
riskRewardStr = "1:" + riskReward.toFixed(2);
} else if (avgWin > 0 && avgLoss === 0) {
riskRewardStr = "Infinite";
}
// Break Even Win Rate = 1 / (1 + RiskReward)
var breakEvenRate = 0;
if (riskReward > 0) {
breakEvenRate = (1 / (1 + riskReward)) * 100;
}
// Expectancy = (Win % * Avg Win) – (Loss % * Avg Loss)
// Win % and Loss % must be decimals for this formula
var winPctDecimal = winRate / 100;
var lossPctDecimal = 1 – winPctDecimal;
var expectancy = (winPctDecimal * avgWin) – (lossPctDecimal * avgLoss);
// Display Results
document.getElementById('resTotalTrades').innerText = totalTrades;
document.getElementById('resWinRate').innerText = winRate.toFixed(2) + "%";
document.getElementById('resRR').innerText = riskRewardStr;
if (avgWin > 0 && avgLoss > 0) {
document.getElementById('resBreakEven').innerText = breakEvenRate.toFixed(2) + "%";
document.getElementById('resExpectancy').innerText = "$" + expectancy.toFixed(2);
var statusElem = document.getElementById('resStatus');
if (expectancy > 0) {
statusElem.innerText = "PROFITABLE";
statusElem.style.color = "#27ae60";
} else if (expectancy < 0) {
statusElem.innerText = "UNPROFITABLE";
statusElem.style.color = "#e74c3c";
} else {
statusElem.innerText = "BREAK-EVEN";
statusElem.style.color = "#f39c12";
}
} else {
document.getElementById('resBreakEven').innerText = "Enter $ amounts";
document.getElementById('resExpectancy').innerText = "Enter $ amounts";
document.getElementById('resStatus').innerText = "Insufficient Data";
document.getElementById('resStatus').style.color = "#7f8c8d";
}
// Show result container
document.getElementById('tcResult').style.display = 'block';
}
Understanding Your Trading Win Rate
In the world of financial markets, whether you are trading stocks, forex, or crypto, your "Win Rate" is a fundamental metric. However, it is a common misconception that a high win rate guarantees profitability. This calculator helps you analyze the relationship between how often you win and how much you win, providing a clearer picture of your strategy's true expectancy.
What is Win Rate?
Your win rate is simply the percentage of trades that result in a profit. The formula is:
Win Rate = (Winning Trades / Total Trades) × 100
For example, if you take 100 trades and 60 of them are profitable, your win rate is 60%. While psychological comfort often comes from a high win rate, many professional traders are profitable with win rates as low as 40% or even 30%.
The Importance of Risk/Reward Ratio
The missing piece of the puzzle for most beginners is the Risk/Reward (R/R) ratio. This measures your potential profit relative to your potential loss on a single trade.
- Avg Win: The average dollar amount gained on winning trades.
- Avg Loss: The average dollar amount lost on losing trades.
If your strategy has a 1:2 Risk/Reward ratio (risking $100 to make $200), you only need a win rate greater than 33% to be profitable. Conversely, if you risk $100 to make $10 (1:0.1 R/R), you need a massive 91% win rate just to break even.
Break-Even Win Rate Formula
This calculator determines the minimum win rate required to not lose money based on your average wins and losses. The formula is:
Break-Even % = 1 / (1 + Risk Reward Ratio)
If your current win rate is higher than your calculated break-even win rate, your strategy has a "positive expectancy" and should generate profit over the long term.
How to Use This Calculator
- Enter Trade Counts: Input the total number of winning and losing trades from your trading journal.
- Enter Dollar Amounts: Input the average profit per winning trade and average loss per losing trade.
- Analyze Expectancy: The calculator will show your "Expectancy Per Trade." A positive number means that, statistically, you make that amount of money every time you click the buy/sell button, regardless of the immediate outcome.
Why Expectancy Matters More Than Win Rate
Mathematical Expectancy is the holy grail of trading metrics. It combines probability (win rate) with payoff (risk/reward). A strategy with a 90% win rate that wins $10 but loses $100 on the 10% of losses has a negative expectancy (you will eventually blow up the account). A strategy with a 40% win rate that wins $300 and loses $100 has a highly positive expectancy.