Analytics & Statistics

Most traders track two numbers: how much they made, and how many trades they won. That's not enough. Knowing that you're profitable is useful. Knowing why — and more importantly, whether it will hold — is what actually separates improving traders from ones who are just running on luck.

The Stats module gives you a full breakdown of your trading performance across every dimension that matters: profitability, efficiency, consistency, risk distribution, and equity curve quality. Here's what each metric means and what to watch for.

The Equity Curve

The PnL chart at the top of the page is your first and most important read. Before you look at any individual number, look at the shape of the curve.

A healthy curve trends upward with relatively controlled dips. A curve that's choppy, flat for long stretches, or recovering from deep drawdowns tells you something is off — even if the total P&L is positive. Use the time filters (1W, 1M, 3M, 6M, YTD, ALL) to zoom in on specific periods and compare phases of your trading.

The legend lets you break down the curve by position type: Single / Smart, Long / Short, or Total — useful for isolating whether a particular subset of your trading is carrying or dragging the overall result.

Core Performance Metrics

Total P&L: Net result after fees. This is your bottom line — what actually landed in your account. Positive is the goal, but don't read it in isolation. A $500 profit on $500,000 of volume tells a very different story from $500 on $5,000.

Total Fees: Commissions paid over the selected period. As a rule of thumb, keep fees below 10% of gross profit. If fees are eating a larger share, your strategy may be too active relative to the edge it's generating — or position sizing needs adjustment.

Volume: Total dollar value traded. Rising volume is only a good sign if it's accompanied by rising P&L and efficiency. Volume that grows while P&L stays flat just means you're paying more in fees for the same result.

Winning Positions / Losing Positions: Raw counts of closed trades in profit vs. at a loss. Useful context, but don't optimize for win rate in isolation — a 70% win rate with a 0.3 R/R is worse than a 40% win rate with a 2.0 R/R.

Positions (Long / Short): Breakdown of your closed positions by direction. If you're heavily skewed one way, that's worth being conscious of — it may reflect a directional bias that works in trending conditions but breaks down when the market shifts.

Positions (Single / Smart): Compares manually opened positions to automated smart positions. Useful for evaluating whether automation is improving or hurting your results relative to your manual decisions.

Best Position / Worst Position: Your single best and worst individual trades. A best position significantly larger than your average win is worth noting — it may mean one outlier is flattering your overall numbers. A worst position much larger than your average loss suggests a stop-loss discipline issue at some point.

Avg Win / Avg Loss: The average profit on winning trades and average loss on losing ones. These two numbers feed directly into your effective Risk/Reward and tell you whether your exits are calibrated properly.

Avg Duration: How long you typically hold a position. Most meaningful when cross-referenced with your strategy type — a scalp held for 16 hours is either a missed exit or an intentional hold that should be clearly reflected in your setup rules.

Efficiency Metrics

Capital Efficiency: Profit earned per $100 of volume rotated. Think of it as your return on turnover. Above 5% is strong; below 1% means the strategy is technically profitable but not generating much per dollar deployed. Negative means you're destroying capital with every rotation.

Avg Efficiency / Position: The same concept, but averaged per individual trade. Where Capital Efficiency gives you the macro picture, this tells you whether the typical setup is carrying its weight — or whether the average is being propped up by a handful of strong outliers.

Risk / Reward: Average win divided by average loss. Below 1.0 means you're losing more per losing trade than you're gaining per winner, which forces you to win more than 50% of trades just to break even. A healthy target is 1.3–1.5 or better. If this number is sitting in the red, it's one of the highest-leverage things to work on.

Statistical Edge Metrics

Kelly %: The Kelly Criterion tells you what percentage of your account to risk per trade to maximize long-run equity growth, given your historical edge. A positive Kelly value means your strategy has a measurable statistical edge. Zero or negative means the math says don't trade it — there's no positive expectation to compound.

In practice, most experienced traders use a fraction of the full Kelly — typically half — to reduce volatility and protect against drawdowns. The panel shows your current utilization as a percentage of the full Kelly fraction:

• Above 50% of Kelly — you're compounding aggressively relative to your edge

• 25–50% of Kelly — balanced, growth-oriented but not overexposed

• Below 25% of Kelly — conservative; safe, but potentially leaving compounding on the table

ECR (Efficiency / Consistency / Risk index): A composite score that combines three dimensions into one number:

• Efficiency — how much profit is generated per unit of capital turned over

• Consistency — win rate weighting; strategies that hit targets more reliably score higher

• Risk control — deeper drawdowns reduce the score, penalizing fragile strategies regardless of returns

Higher ECR means your capital is rotating efficiently, results are steady, and drawdowns are contained. A low ECR flags a strategy that may be profitable in absolute terms but is slow, inconsistent, or inadequately protected. Use it as a single-number health check on your overall approach.

Distribution and Curve Quality

R²: Measures how smooth and consistent your equity curve is — specifically, how much of the variance in your cumulative P&L is explained by a clean upward trend vs. random noise.

• Above 0.7 — the curve is predominantly trending; results are consistent

• 0.3–0.7 — mixed; there's a trend, but significant choppiness alongside it

• Below 0.3 — the curve is mostly noise; returns are erratic and hard to rely on

A high R² is one of the clearest signals that a strategy is structurally sound, not just lucky over a particular stretch.

PCI — Top 5% (PnL Concentration Index): What share of your total profit came from your top 5% of winning trades? This tells you whether your results are broadly distributed or dependent on a small number of big wins.

• Below 35% — healthy distribution; consistent results across the board

• 35–60% — moderate concentration; worth watching

• Above 60% — "lottery" profile; the strategy is fragile and results hinge on catching the occasional outsized trade

PCI HHI (Effective Winners): A more granular concentration measure using the Herfindahl-Hirschman Index applied to your winning trades. Instead of just flagging the top 5%, it calculates an effective number of winners — how many trades are meaningfully contributing to your profit vs. just along for the ride.

If your effective winner count is significantly lower than your total winner count, a small subset of trades is carrying the strategy. The panel displays the raw HHI, the effective winner count, and the cumulative profit cutoffs — for example, which top-N trades account for 80%, 90%, and 95% of total profit.

• Below 15% concentration — healthy spread across winners

• 15–35% — moderate; keep an eye on outlier dependency

• Above 35% — high concentration; results hinge on a handful of trades

Reading the Panel as a Whole

No single metric tells the full story. The Stats module is designed to be read as a system. Here's a practical way to approach it:

Start with the equity curve. Is it trending cleanly, or choppy and recovering from deep holes? That shape tells you more at a glance than any individual metric.

Check Total P&L vs. Total Fees. Are you keeping enough of your gross profit? If fees represent a large chunk of what you made, your activity level may be outpacing your edge.

Look at R/R alongside win rate. A low win rate is fine if R/R is strong. A high win rate is fine if R/R is at least neutral. The dangerous combination is low win rate and weak R/R.

Use Kelly % to gauge whether your sizing matches your edge. If Kelly is very low, you may be over-risking relative to what the historical data actually supports.

Use ECR as a quick health check over time. If it's improving, the strategy is getting more efficient and consistent. If it's declining, something has shifted — find out what.

Use PCI and HHI to check robustness. If a small number of trades are generating the bulk of your profit, ask whether those trades are repeatable — or whether you've simply been in the right place at the right time.