Polymarket Analytics Tools: Markets, Wallets and Execution Evidence

Evaluate the analytical claim

Market and wallet analytics belong together

Wallet activity without market context can hide concentration, thin liquidity and stale marks. Market charts without account context cannot explain whether a trader repeatedly entered early, sized aggressively or benefited from one event.

A strong workflow moves from market discovery to the wallet's public positions and activity, then back to the recorded book at the relevant time. Every step should retain identifiers and timestamps so the path can be audited.

DepthFeed Wallet Intelligence

DepthFeed provides read-only public Polymarket wallet research: saved addresses, positions, activity, realized samples, leaderboard context and market exposure. It never requests a private key, signs a transaction or submits a copy trade.

For eligible activity, the next-book audit finds the first recorded full book in the following 90 seconds, walks the same share size and reports replay price, fillable fraction, delay and price difference. The result distinguishes depth that remained, a moved price, unavailable size and missing coverage.

Analytics selection checklist

• Confirm whether PnL is realized, unrealized or a mixture.
• Check the period, sample size and category concentration.
• Inspect bid, ask and size behind any displayed market probability.
• Require a clear missing-data state instead of a guessed metric.
• Keep public-address analysis separate from identity claims.
• Treat execution evidence as historical research, not a guarantee of a future fill.

Four layers of Polymarket analytics

Market metrics that retain execution meaning

Display best bid, best ask, spread and size before deriving a midpoint or probability. Add depth within fixed price bands and sized VWAP for representative order amounts. A single line chart is useful for direction, but it should link back to the ladder that determined whether a trade could execute.

Show the timestamp and source method beside every live metric. For historical charts, define sampling and carry-forward behavior. A one-minute series created from event-driven updates is not identical to a one-minute series of last trades, even when both draw similar lines.

How to interpret public wallet PnL

Separate realized samples, marked open positions, recent volume and current exposure. State the period and number of positions or trades included. Lifetime profit can reflect capital scale, one concentrated event, market making, transfers or activity outside the visible sample; it is not a standalone skill score.

Win rate also needs payoff context. Frequently buying high-probability contracts can create many small wins and occasional large losses. Report average gain, average loss, concentration and drawdown where the underlying public data supports them, and label estimates rather than presenting them as exchange-certified account statements.

Cohort and leaderboard analysis

Compare wallets only inside a defined cohort: the same time window, category, minimum activity and metric definition. Leaderboard rank is a discovery tool, not a normalized research sample. Save the query date because public rankings and profiles change.

Avoid identity claims. A public address can be controlled by an individual, team, bot or service and may represent only one part of a larger portfolio. Analytics should describe observable address activity and never imply private knowledge of ownership.

Execution-aware wallet research

A public trade becomes visible after some delay and says nothing about the book a follower will face. The next-book test asks a narrower, auditable question: in the first eligible recorded ladder after the public timestamp, was the same side and size still displayed near the reported price?

Report the observation delay, replay VWAP, filled fraction and price difference. Keep missing coverage separate from a negative execution result. Even a fully displayed replay does not reproduce queue priority, hidden liquidity, cancellations, fees or the market impact of actual copy orders.

Analytics product red flags

• PnL with no period, sample definition or separation of open and realized positions.
• A probability chart that hides spread, size and data freshness.
• Wallet labels or identity claims with no verifiable public basis.
• Copy-trading promises based on a historical public fill rather than follower execution.
• Backtest returns with no trade ledger, fill model, missing-data policy or reproducible parameters.
• A stale market or wallet record displayed without its last successful observation time.