Polymarket Whale Tracker

A Polymarket whale tracker is a system that monitors the live trade feed across the platform and surfaces positions large enough to indicate directional conviction. Rivo ingests every market and every trade on Polymarket and Kalshi and shows the large ones in one feed. This page covers how the tracker works, what it shows and how copy traders use it to find positions worth following.

What counts as a whale on Polymarket and Kalshi

Rivo defines a whale trade as a single large opening position on a Polymarket or Kalshi event contract. The definition has three deliberate components.

The size floor is large enough to filter out retail-scale activity, market-maker rebalancing, and small-scale arbitrage flow. Below the threshold, trade activity is dominated by behavior that does not carry directional signal. The threshold is calibrated to produce a manageable daily volume of qualifying trades across both platforms.

The opening-position requirement excludes closes and partial exits. A $50,000 sell on a position previously entered at $30,000 is a $20,000 paper gain being realized, not a $50,000 directional view. Counting exits as whale buys would conflate two fundamentally different kinds of activity.

The per-contract framing focuses the definition on single-ticket conviction. A trader who spreads $50,000 across ten small positions is operating differently from a trader who places a single $50,000 ticket on one contract. The whale definition captures the second behavior. For a more detailed treatment, see our article on what is a whale on Polymarket.

How the Rivo whale tracker works

The tracker combines venue-specific ingestion, qualification, normalization, and enrichment into one live terminal.

Each venue has its own source path. Rivo reads Polymarket market and trade activity while maintaining a separate identity-bearing Kalshi trader stream. That distinction matters because the venues expose different identifiers and market structures. The terminal joins the results without erasing those source differences.

Trades from each platform are then normalized into a unified event schema with consistent field names, currency denominations, and timestamps. The normalized schema allows downstream filters to operate identically on Polymarket and Kalshi trades, which is important for the cross-venue copy-trading workflow.

Qualification is venue-aware. Live lists a named trader's trades when that trader is in profit. On venues that name nobody it lists the large buys worth knowing about. Price bands, market state and entry context cut the rest.

Each qualifying trade carries the market title, category, current price and wallet history where available. It feeds Live, your followed-trader alerts and your bots.

Position-delta classification

A critical part of whale tracking is distinguishing opening positions from closes. Rivo makes that distinction on every trade so an exit never reads as a fresh directional bet.

Rivo classifies each trade into one of six position deltas: open, add, flip, trim, close, or unknown. Opens are fresh positions in a market where the wallet had no prior exposure. Adds are increases to an existing position on the same side. Flips are reversals from one side to the other. Trims are partial reductions of an existing position. Closes are full exits. Unknown applies to cases where the trade history is insufficient to classify reliably.

Only opens, adds and flips count as directional buys. Trims and closes still reach the follow system because an exit by a chosen account is still useful. The classification logic is one of the more substantive engineering features of the tracker.

Wallet history and resolved PnL

Each whale trade is associated with the underlying wallet address (on Polymarket) or trader identifier (on Kalshi). The tracker maintains a per-wallet history of all recorded trades, the markets they were placed on, and the resolved outcomes where the underlying markets have settled.

The wallet history supports a per-wallet skill evaluation, which is the most important filter on the whale tracker for copy-trading purposes. A wallet with twenty or more resolved positions and positive category-specific PnL is a meaningfully more reliable copy-trading target than a wallet seen for the first time. For the underlying analysis of whale profitability, see our article on whether Polymarket whales are actually profitable.

Public surfaces of the whale tracker

Several surfaces of the whale tracker are publicly available without authentication.

• The biggest wins page, which ranks resolved whale trades by paper PnL on the winning side.
• The biggest losses page, which ranks resolved whale trades by paper PnL on the losing side.
• The all-time wins leaderboard and all-time losses leaderboard, which provide full ranked lists across the resolved sample.
• Daily date-archive pages under /wins and /losses, which surface the resolved trades from any given trading day.

The live terminal comes with a Rivo subscription. Live shows what traders in profit are buying. Rivo costs $9 a week or $15 a month. Just one trade can pay for it.

Comparison to alternative whale trackers

Several services offer some form of Polymarket whale tracking. Rivo puts whale trades in one feed you can trade from with one click. It also covers Polymarket and Kalshi in one terminal and brings the position and trader context, followed-trader alerts, connected execution and the public resolved-PnL leaderboards that let you verify the record before subscribing.

Rivo scores every trader from settled markets. That scoring makes wallet skill comparable across both venues. Execute any Best Bet with one click through your own account.

What to read next

For the broader copy-trading framework, see our copy-trading prediction markets guide. For the Telegram alert delivery channel that surfaces whale activity in real time, see our Polymarket Telegram bot page. To get these trades on your phone as they happen, set up Polymarket whale alerts.

Turn the activity into your own bot

Rivo connects the trades you research to the bot you build. Start with a template or build from scratch. Choose a venue and category. Set a source trade size and entry price range. Use keywords or specific markets to focus the signal.

Set a fixed stake or a percentage of the source trade with a dollar cap. The backtest applies your sizing to recorded matches. Review the return and the settled trades behind it. Signal backtests split the history into training and validation periods so you can compare how the idea performs across both.

Run the bot on paper to track new activity. Open its card to inspect the trades and edit the signal. Choose daily summaries or every-trade updates. Follow individual traders for alerts independently.

Choose supported live execution when you want the bot to place qualifying orders. Connect your own account and set your limits. Rivo logs each execution and skip so you can review the decisions. Paper results use recorded entry prices. Live results reflect actual fills and venue fees.

Build your bot and keep its signal and record in one workspace.

Frequently asked questions