How to Read the BotEdge Leaderboard
BotEdge is built to help you spot systematic Polymarket wallets faster. The key is not memorizing every metric. It is knowing which numbers are strong, which ones are directional, and how the pattern looks when you read them together.
Scan P&L, trades, cadence, and bot score before going deeper.
Behavior and position metrics are the most useful layer on the site right now.
Estimated metrics are directional hints, not audited portfolio accounting.
What BotEdge tracks
The homepage is a ranking surface, not a full dossier. It is designed to help you decide which wallet deserves a closer look.
Rank
The bot’s current position among featured wallets on BotEdge. It is useful for relative comparison, not as a permanent quality badge.
P&L
The headline profit and loss number we track for the wallet. It is the easiest number to scan first, but it should always be read alongside activity and behavior.
Trades
How many trades are currently in the tracked sample. Higher counts usually mean the wallet has enough activity for the rest of the page to become more meaningful.
Cadence
A simple readout of trades per day. Very high cadence often points to automation or at least a highly systematic workflow.
Bot Score
A behavior-based automation signal. It is not a moral label and not a guarantee of profitability. It answers one question: how machine-like does this wallet look?
What the bot behavior metrics are really telling you
This is the most useful part of the page when you want to understand how a wallet trades rather than just whether it made money.
Timing Regularity
How clock-like the gaps between trades look. Lower timing variance tends to be more bot-like, especially in repetitive crypto markets.
Size Consistency
How often the wallet repeats similar ticket sizes. Bots often reuse a small set of position sizes instead of varying amounts like humans do.
Market Focus
How concentrated the trade flow is in one market or one small cluster of markets. High concentration usually means a more specific strategy.
Unique Markets
The number of distinct markets the wallet touches in the sample. Low breadth with high repetition often points to a specialized system.
Buy / Sell Split
The rough balance between buying and selling. This helps distinguish accumulation behavior from more active inventory management.
Active Hours
The UTC span between the earliest and latest observed activity. Wide spans can suggest around-the-clock automation or a globally distributed operator.
Why the positions block matters
Trade history shows motion. Position metrics show deployment. When those two line up, you get a much better sense of conviction, concentration, and live risk.
Open Positions
How many live positions are currently visible. This gives a better sense of real deployment than trade count alone.
Open Value
The marked value of visible open positions. Think of it as current deployed exposure, not as settled profit.
Open P&L
Mark-to-market profit or loss on open positions. Useful for a live read of exposure, but it can move quickly with market prices.
Largest Position
How much of the visible position value sits in the single biggest position. High concentration here usually means high conviction or high risk concentration.
Last Close
The timestamp of the newest closed position in the latest visible sample. We hide closed-position P&L until it can be reconciled cleanly to the leaderboard figure.
Which metrics you should treat as directional
Some numbers are still useful, but they should not be read with the same confidence as behavior or positions data.
Win Rate
Only shown when public outcome data is actually available. When the sample cannot support it, we prefer not to show a number at all.
Sharpe Ratio
Experimental. Useful for spotting rough differences in consistency, but not reliable enough to read like an audited quant metric.
Avg Hold
Only meaningful when public flow gives us enough pairable position behavior. Sparse or fragmented data weakens it quickly.
Max Drawdown / Daily P&L
These are directional approximations from public activity. They can help frame behavior, but they are not a substitute for a full account-level ledger.
How BotEdge gets the data
BotEdge uses public Polymarket data and builds behavior summaries on top of it. No private account access is used.
We combine public trade activity, current positions, and closed positions to build each wallet page. That means the strongest numbers on BotEdge come from directly observable public behavior. When the source data gets weaker, we label the metric as estimated instead of pretending it is precise.
How to spot a real bot pattern
Do not overfit a single metric. BotEdge becomes most useful when you read patterns across multiple fields.
High cadence + high focus
Usually means the wallet is hammering a narrow strategy, often around a specific recurring market pattern.
Repeated sizing + clock-like timing
This is one of the clearest machine-like signatures on the site, especially when it persists across many trades.
Big P&L + weak behavior signal
That can still be a strong trader, but it may be discretionary rather than automated. Profitability and automation are not the same thing.