Performance Analytics

CandleLog tracks comprehensive performance metrics to help you understand your trading. Beyond simple P&L tracking, you'll see win rates, profit factors, expectancy, and the correlation between rule compliance and profitability.

Key Metrics

Net P&L

Your total profit and loss from all trades in the strategy.

• Includes commissions and fees
• Displayed with green (profit) or red (loss) coloring
• Primary measure of strategy profitability

Number of Trades

Total count of trades assigned to the strategy.

• More trades = more statistical significance
• Aim for 30+ trades before drawing conclusions
• Separate from missed trades count

Win Rate

Percentage of trades that were profitable.

Win Rate = (Winning Trades / Total Trades) x 100

Note: Win rate alone doesn't determine profitability. A 40% win rate with 3:1 reward-to-risk is highly profitable.

Profit Factor

Ratio of gross profits to gross losses.

Profit Factor = Gross Profits / |Gross Losses|

Profit factor above 1.0 means you're profitable. Higher is better, but extremely high profit factors (>3.0) may indicate insufficient sample size.

Rules Followed Rate

Average percentage of strategy rules followed across all trades.

Rules Followed Rate = (Total Rules Followed / Total Applicable Rules) x 100

This metric reveals the correlation between discipline and profitability:

• High compliance + profits = good strategy, good execution
• Low compliance + losses = discipline problem
• High compliance + losses = strategy needs refinement

Expectancy

Expected profit or loss per trade, on average.

Expectancy = (Win Rate x Average Win) - (Loss Rate x Average Loss)

A positive expectancy means you'll profit over many trades, even if individual trades lose.

Average Winner

Mean profit amount on winning trades.

Average Winner = Total Profits / Number of Winning Trades

Compare to Average Loser to understand your reward-to-risk ratio in practice.

Average Loser

Mean loss amount on losing trades.

Average Loser = Total Losses / Number of Losing Trades

Ideally, your Average Winner should be larger than your Average Loser.

Largest Profit

Your single best trade in the strategy.

Review this trade to understand:

• What conditions led to the big win?
• Did you follow your rules?
• Can you replicate the setup?

Largest Loss

Your single worst trade in the strategy.

Review this trade to identify:

• What went wrong?
• Did you violate rules?
• How can you prevent similar losses?

Total R Multiple

Performance measured in risk units, assuming $100 risk per trade.

R Multiple = Net P&L / Risk Per Trade

If you risked $100 per trade and made $500, your R Multiple is 5R. This normalizes performance regardless of position sizing.

Missed Trades

Count of trade opportunities logged but not executed.

High missed trade counts may indicate:

• Fear of pulling the trigger
• Being away during setups
• Over-analysis paralysis

Strategy Summary View

The Strategy Summary tab displays all metrics in a dashboard format:

Performance Cards

Large cards showing:

• Net P&L (with trend icon)
• Number of Trades
• Win Rate (with progress bar)
• Profit Factor

Detailed Metrics

Smaller cards for:

• Missed Trades
• Expectancy
• Rules Followed Rate
• Average Winner
• Average Loser
• Largest Profit
• Largest Loss
• Total R Multiple

Recent Trade Performance

List of the 10 most recent trades showing:

• Symbol
• Date
• Running P&L

Strategy Information

• Description
• Status badges (Active, Public, Copyable)
• Created and updated dates

Filtering Analytics

Filter performance metrics by:

Date Range

View metrics for specific periods:

• This week
• This month
• This quarter
• This year
• Custom range

Trading Account

Filter by specific broker account to see strategy performance per account.

Symbol

View metrics for specific instruments only.

Using Analytics to Improve

Weekly Review Process

1. Review overall metrics (P&L, Win Rate, Profit Factor)
2. Check Rules Followed Rate
3. Identify largest winner and loser
4. Review missed trades
5. Document insights in strategy notes

Questions to Ask

After reviewing analytics:

• Is my expectancy positive?
• Am I following my rules?
• What's my actual reward-to-risk?
• Are losses from rule violations or bad rules?
• Am I missing too many valid setups?

Making Adjustments

Based on analytics:

Understanding Metrics Together

No single metric tells the whole story. Consider metrics together:

Profitable System Example

• Win Rate: 45%
• Profit Factor: 1.8
• Average Winner: $300
• Average Loser: $150
• Expectancy: $52.50

Despite losing more often than winning, positive expectancy through better reward-to-risk.

Unprofitable System Example

• Win Rate: 65%
• Profit Factor: 0.9
• Average Winner: $100
• Average Loser: $200
• Expectancy: -$5

High win rate but losses are too large compared to wins.

Best Practices

Track Everything

Assign every trade to its strategy. Incomplete data leads to misleading metrics.

Wait for Significance

At least 30 trades before drawing major conclusions. Statistics need sample size.

Compare Periods

Track metrics over time to see trends:

• Is win rate improving?
• Is compliance increasing?
• Is expectancy growing?

Benchmark Against Yourself

Your goal is improvement over your past performance, not comparison to others.

Review Regularly

Schedule weekly and monthly reviews. Consistent analysis drives consistent improvement.