Performance Analytics
P&L curves, win rate, drawdown, R-multiples, edge scorecard, and benchmark overlays.
Overview
Performance Analytics transforms your Trade Journal data into a comprehensive statistical profile of your trading. Every closed trade, tagged entry, and linked signal is processed into metrics that reveal the structure of your edge: where it comes from, how stable it is, and how it compares against benchmarks. The analytics engine runs entirely on your own data, so every metric reflects your actual execution, not hypothetical backtests.
The Performance page is accessible from the sidebar and is organized into a configurable widget grid. Each widget surfaces a different dimension of your trading performance. Widgets update in real time as new trades are logged or closed, and all calculations account for trading fees and funding payments when recorded.
Data accuracy depends on your journal
P&L Overview
The P&L overview widget provides a multi-timeframe profit and loss summary. It shows your net realized P&L (after fees and funding) across daily, weekly, monthly, quarterly, and all-time horizons. Each timeframe includes both absolute dollar amounts and percentage returns relative to your average capital deployed.
Daily P&L
The daily P&L view displays a bar chart where each bar represents one trading day. Green bars indicate profitable days; red bars indicate losing days. Hovering over any bar shows the exact dollar P&L, number of trades closed, and the net fees paid that day. Below the chart, a heatmap calendar provides a month-at-a-glance view with color intensity proportional to the day's P&L magnitude.
Weekly and Monthly P&L
Weekly and monthly aggregations smooth out day-to-day variance and reveal whether your trading is consistently profitable over longer horizons. The monthly view is particularly useful for identifying seasonal patterns, drawdown clusters, and the months where your strategy performed best or worst.
| Gross P&L | Total profit/loss before fees and funding deductions. Shows the raw directional edge of your trading. |
| Net P&L | Profit/loss after subtracting all trading fees and net funding payments. The number that matters for your actual account. |
| Fee Drag | Total fees paid as a percentage of gross P&L. High fee drag indicates overtrading or poor exchange selection. |
| Funding Impact | Net funding payments received or paid. Positive when you were on the right side of funding; negative when crowded. |
Equity Curve
The equity curve is a time-series chart that plots the cumulative value of your trading account over time. Starting from your first logged trade, the curve grows with profitable trades and declines with losses. A healthy equity curve trends upward with controlled drawdowns. An unhealthy curve shows erratic swings, deep drawdowns, or long periods of stagnation.
The primary equity line showing your running total net P&L from day one. The slope of this line is your edge.
A shaded area below the equity curve showing the depth and duration of each drawdown from the prior equity peak.
Overlay BTC, ETH, or SPX buy-and-hold performance on the same chart to compare your active trading against passive benchmarks.
Individual trade close events are plotted on the curve. Click any marker to jump to the corresponding journal entry.
Benchmark your equity curve
Win Rate Analysis
Win rate measures the percentage of trades that closed profitably. While win rate alone does not determine profitability (a 30% win rate can be highly profitable with large winners and small losers), it is a foundational metric for understanding your trading style and identifying where your edge concentrates.
Win Rate Breakdowns
The win rate widget breaks down your overall win rate into multiple dimensions so you can pinpoint exactly where you win and where you lose.
| By Asset | Win rate per traded asset. Identify which tokens you trade profitably and which ones consistently lose money. |
| By Direction | Long win rate vs. short win rate. Many traders have a significant directional bias in their results. |
| By Strategy Tag | Win rate for each strategy tag (breakout, mean-reversion, etc.). Reveals which strategies produce edge in your execution. |
| By Setup Tag | Win rate for each setup tag. Identifies the specific setups that work for you vs. the ones that do not. |
| By Timeframe | Win rate grouped by hold duration (intraday, overnight, multi-day, weekly). Shows which horizons suit your style. |
| By Exchange | Win rate per exchange. Execution quality and fee structures vary; this metric surfaces exchange-level differences. |
| By Day of Week | Win rate by the day you entered the trade. Some traders show clear day-of-week patterns in performance. |
| By Session | Win rate by trading session (Asia, London, New York). Identifies session-dependent edge. |
R-Multiples
R-multiples express each trade's result as a ratio of the initial risk taken. If you risk $100 (the distance from entry to your stop loss multiplied by position size) and make $300, the trade is a +3R. If you lose the full $100, the trade is a -1R. R-multiples normalize trade results across different position sizes and assets, making them directly comparable.
How R-Multiples Are Calculated
| Initial Risk (1R) | Calculated as: |Entry Price - Stop Loss| x Position Size. This is the maximum you planned to lose on the trade. |
| Trade Result | The net P&L of the trade after fees and funding. |
| R-Multiple | Trade Result / Initial Risk. A +2.5R trade returned 2.5 times the initial risk. |
| Expectancy | The average R-multiple across all trades. A positive expectancy means your system has a mathematical edge. |
Stop loss required for R-multiples
R-Multiple Distribution
The R-distribution chart shows a histogram of all your trade results in R-multiple terms. A profitable system shows a distribution skewed to the right (more and larger winners than losers) with the average well above zero. The shape of this distribution reveals your trading style: a system with many small wins and few large losses has a different profile than one with few large wins and many small losses.
Edge Scorecard
The Edge Scorecard is a single-view summary that distills your complete trading performance into a quantified assessment of your edge. It answers the question: do you have a real, measurable advantage, and if so, how large is it?
| Expectancy (R) | Your average R-multiple per trade. Positive means you have a mathematical edge; the higher, the better. |
| Profit Factor | Gross profit divided by gross loss. Above 1.0 means you are profitable. Above 2.0 is strong. Above 3.0 is exceptional. |
| Win Rate | Percentage of trades closed profitably. Context-dependent: a 35% win rate is excellent with a 5:1 payoff ratio. |
| Average Win / Average Loss | The ratio of your average winning trade to your average losing trade. Combined with win rate, this defines your edge structure. |
| Max Drawdown | The largest peak-to-trough decline in your equity curve. Indicates worst-case scenario and required psychological resilience. |
| Recovery Factor | Total net profit divided by max drawdown. Measures how efficiently you recover from drawdowns. Above 3.0 is robust. |
| Sharpe Ratio | Risk-adjusted return calculated from daily P&L series. Above 1.0 is good; above 2.0 is excellent for active trading. |
| Total Trades | The sample size of your performance data. At least 100 trades are needed for statistically meaningful conclusions. |
Minimum sample size
Drawdown Analysis
Drawdowns are the inevitable cost of trading. The drawdown analysis widget provides a detailed view of every drawdown period in your history: how deep it went, how long it lasted, and how long it took to recover to the prior equity peak.
| Max Drawdown | The deepest peak-to-trough decline in absolute dollar terms and as a percentage of peak equity. |
| Average Drawdown | The mean depth of all drawdown periods. A better indicator of typical pain than the max. |
| Longest Drawdown | The longest consecutive period below a prior equity peak, measured in calendar days. |
| Average Recovery Time | Mean time to recover from a drawdown and reach a new equity high. |
| Current Drawdown | If you are currently in a drawdown, this shows how deep it is and how long it has lasted. |
| Drawdown Timeline | A timeline view showing every drawdown event with depth, duration, and the trades that contributed to it. |
Dashboard Widgets
The Performance page is composed of configurable widgets that you can show, hide, and rearrange. Each widget focuses on a specific analytical dimension. Here is the complete list of available widgets.
Net P&L across daily, weekly, monthly, and all-time timeframes with gross vs. net breakdown.
Cumulative P&L time series with drawdown overlay and optional benchmark comparison.
Overall win rate with breakdowns by asset, direction, strategy, timeframe, and session.
Gross profit / gross loss ratio with rolling 30-trade trailing window for trend detection.
Total notional volume traded per day, week, and month. Correlate activity level with performance.
Your top 5 winning and top 5 losing trades by absolute P&L. Quick access to journal entries for review.
Total fees paid by exchange, asset, and time period. Tracks fee drag as a percentage of gross P&L.
Histogram of all trade R-multiples. Shows expectancy, median R, and the shape of your payoff distribution.
Underwater chart showing drawdown depth and duration for every drawdown period in your history.
Distribution of trade hold durations with P&L overlay. Reveals optimal hold time for your strategy.
P&L, win rate, and volume broken down by individual asset. Identifies your best and worst trading instruments.
Calendar heatmap colored by daily P&L. Visual representation of consistency over weeks and months.
Scatter plot of planned risk vs. actual reward for every trade. Shows whether you are achieving your target R:R.
Percentage returns relative to capital deployed per trade, per day, and per month.
Benchmark Overlays
Benchmark overlays let you compare your trading performance against passive buy-and-hold strategies for major assets. This comparison is essential for answering the most important question in active trading: is your effort adding value beyond what you could achieve by simply holding?
| BTC Buy-and-Hold | Compares your equity curve against a hypothetical portfolio that bought BTC at the start of your trading history and held. |
| ETH Buy-and-Hold | Same comparison against ETH. Useful if you primarily trade the Ethereum ecosystem. |
| SPX Buy-and-Hold | Comparison against the S&P 500 for broader market context. Demonstrates whether crypto active trading beats traditional equity exposure. |
| Custom Benchmark | Pro+ users can create a custom benchmark from any tracked asset or a weighted basket of assets. |
Custom benchmarks require Pro+
Exporting Performance Data
All performance data can be exported for external analysis. Click the export icon in the top-right corner of the Performance page to download your complete trade history and calculated metrics as a CSV file. The export includes every field from the journal, all calculated metrics (R-multiples, P&L, hold time), and tag associations.
Pro+ and Founder users can also export performance data via the Workbench by running SQL queries against the journal tables. This enables advanced analysis in Python, R, or any external tool.
Next Steps
Trade Journal
Ensure your journal data is complete for accurate performance analysis.
Portfolio Tracking
Monitor live holdings and portfolio-level risk alongside performance data.
Charts
Analyze your trade entries and exits on TradingView-powered charts.
Workbench
Run custom SQL queries against your performance data for advanced analysis.