Analytics
Overview
The Analytics tab provides a comprehensive performance dashboard for your market maker bot activity. It pulls data from all your completed and active bot orders and presents insights across multiple dimensions — volume, profitability, timing, execution quality, and more.
Filters
At the top of the analytics panel, you can apply filters to narrow down the data you're viewing. Click the filter icon to open the filter modal. Available filters:
Exchanges: View performance on specific exchanges only (e.g., Hyperliquid, Binance, OKX)
Bot Type: Filter by reference price mode (Mid, Grid, Reverse Grid, Blend, Signal)
Tokens: Search and select specific tokens/pairs
Spread Buckets: Filter by the spread (in bps) your bots were configured with
Date Range: Set a from/to date to view a specific time window
Hours (UTC): Select specific hours of the day to analyze (useful for comparing peak vs. off-peak performance)
All sections update to reflect the active filters. Filters are combined; if you select both "Hyperliquid" and "Grid", you'll see only Grid mode orders on Hyperliquid.
Analytics Sections
Summary Stats
Four headline cards at the top showing your overall performance:
Total Volume: The total dollar volume traded across all your market maker orders, with the number of completed pairs shown below
Gross P&L: Your cumulative profit and loss, with the volume-weighted P&L in basis points (bps). This tells you on average how many bps you're making or losing per dollar traded
Win Rate: The percentage of completed pairs that were profitable
Fees: Total exchange fees paid, with fee rate in bps
Daily Volume by Exchange
A time-series chart showing your daily trading volume, stacked by exchange. A 7-day moving average line helps you spot trends. This section helps you understand how your activity has evolved over time and which exchanges drive the most volume.
Volume Breakdown
Two side-by-side tables breaking down your activity:
By Exchange: Orders, completed pairs, volume, volume-weighted P&L (bps), and win rate per exchange
By Bot Type: The same metrics grouped by which reference price mode you used
Both tables are sortable: click any column header to sort. This helps you quickly identify which exchange or strategy is performing best.
Pair Performance
A table showing your top trading pairs ranked by volume. For each pair you can see:
Volume traded
Number of completed pairs
Gross P&L
Volume-weighted P&L (bps)
Win rate
Execution quality score
This helps you identify which tokens have been most profitable (or costly) to market make.
Spread Performance
Groups your orders by the spread setting (in bps) you configured. Shows how different spread settings affect your profitability and win rate.
A tighter spread means your buy and sell quotes are closer to the mid price: you'll get filled more often, but each fill captures less edge. A wider spread means fewer fills but more profit per fill. This table helps you find the sweet spot.
Duration Performance
Shows how order duration affects performance. Orders are bucketed into time ranges (0–1 min, 1–5 min, 5–15 min, up to 8+ hours). Each row shows:
What percentage of your volume falls in that duration
Volume-weighted P&L
Fee rate
This helps you understand whether your bots perform better on shorter or longer runs.
Hourly Performance
A heatmap showing your performance by hour of day (UTC) and by day of week. Uses z-scores (a way of normalizing values to show how far above or below average each cell is) to highlight your best and worst times.
Features:
Timezone toggle: Switch between UTC, New York, and your local timezone
View toggle: Switch between hourly view and day-of-week view
Per-bot legend: Toggle individual bot types on/off
This section is especially useful for DMM Campaign participants: it shows you which hours and days you tend to perform best, helping you pick optimal slots.
Execution Quality
An overall score from 0 to 100 measuring how well your orders execute, broken down into three components:
P&L score (40% weight): How profitable your fills are relative to other strategies
Fee score (30% weight): How efficiently you manage trading fees
Speed score (30% weight): How quickly your orders complete
A pie chart shows the distribution of your orders across quality tiers: Excellent (80–100), Good (60–80), Average (40–60), and Poor (below 40). A strategy-level breakdown table shows which configurations score highest.
Participation Rate
Shows what percentage of the platform's total market maker volume your activity represents. Broken down three ways:
By Exchange: Your share of volume on each exchange
By Bot Type: Your share by strategy mode
By Exchange + Bot: Combined view
Each view shows your volume, the platform total, and your participation rate as a percentage. This gives you a sense of scale: how much of the overall Tread market making activity is yours.
Stop Loss / Take Profit Analysis
Heatmaps showing how often your stop loss and take profit triggers, broken down by leverage level. Three tabs:
Stop Loss: Shows SL trigger rates across leverage buckets
Take Profit: Shows TP trigger rates across leverage buckets
Combined: Shows both SL and TP rates side by side, color-coded (red = SL dominant, green = TP dominant)
This helps you calibrate your risk settings. If you see high SL trigger rates at a particular leverage level, you may want towiden your stop loss or reduce leverage.
Strategy Rankings
A ranked table of your strategies (unique combinations of pair, bot type, spread, exchange, and leverage), sorted by volume-weighted P&L. Your best-performing strategy is rank 1. Columns include:
Pair, bot type, spread, exchange, leverage
Volume and completed pairs
VW Gross P&L (bps)
Win rate
This is your leaderboard: it shows which specific configurations are working best for you.
Trade Rankings
Highlights your individual best and worst trades:
Top 5 Best Trades and Top 5 Worst Trades with links to the parent order details
Summary stats: best single trade, worst single trade, average P&L, median P&L
P&L Distribution Histogram: shows how your individual trade P&Ls are distributed
This helps you understand the range and skew of your results: whether your profits come from many small wins or a few large ones.
Directional Bias
Breaks down performance by directional bias setting:
Neutral: Bot quotes symmetrically on both sides
Long Bias: Bot leans toward accumulating the base asset
Short Bias: Bot leans toward selling the base asset
Shows orders, completed pairs, volume, gross P&L, VW P&L (bps), and win rate for each bias. Helps you understand whether a directional lean has been helping or hurting your results.
Order Outcomes
Shows the distribution of how your orders ended:
Complete: Ran to natural completion
Hit Stop Loss: Stopped out by your SL setting
Hit Take Profit: Exited after reaching your TP target
Canceled Manually: You or the system canceled before completion
Broken down further by exchange and bot type, showing the rate of each outcome. High manual cancellation rates might indicate you're cutting bots short; high SL rates might suggest your risk settings need adjusting.
Key Terms
Completed pair
A buy + sell order that both filled on the same pair (the round trip that determines your P&L)
VW P&L (bps)
Volume-weighted profit and loss in basis points: your average profit per dollar traded, expressed in bps (1bps = 0.01%)
Win rate
Percentage of completed pairs where you made a profit
Execution quality
A composite score (0–100) measuring P&L efficiency, fee management, and speed
Z-score
A statistical measure showing how far a value is from the average: positive means above average, negative means below
Spread (bps)
The distance between your buy and sell quotes, measured in basis points off the reference price
Notes
Analytics data refreshes with a short delay: recently completed orders may take a few minutes to appear.
Data is cached for 15 minutes per filter combination, so you may not see real-time changes immediately after adjusting filters.
The analytics cover all your market maker bot activity, not just campaign-related orders.
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