SightWhale Blog
阅读中文Deep dives into Polymarket prediction markets, whale strategies, and data insights. Updated daily.
How to Identify Smart Money in Prediction Markets
A data-oriented guide to spotting Smart Money on Polymarket and similar markets: metrics that matter, behavioral tells, a Whale-flow case pattern, SightWhale tooling, pitfalls, and FAQ.
From Chain Event to Your Screen: Modeling the Latency Stack Behind Polymarket Whale Alerts
Signal half-life tells you how fast information decays in the market. This post tackles a different problem: the seconds-to-minutes gap between an on-chain fill and the moment you read the alert—and why treating that gap honestly changes sizing, limits, and when you skip a trade entirely.
Nested and Linked Outcomes: When Whale Alerts Quietly Double-Count the Same Thesis
Your feed can show five different markets and five different whales—and you still only have one underlying bet. This deep dive explains structural links between prediction-market contracts (nested events, mutex sets, and soft coupling), how to spot accidental concentration, and how to read alerts as a portfolio instead of a sequence of dopamine hits.
A Field Checklist for Acting on Whale Alerts on Polymarket (Without Talking Yourself Into Bad Trades)
You got the Telegram ping. Now what? This checklist turns a whale alert into a repeatable decision: verify context, size for liquidity, separate signal from habit, and know when to ignore the trade entirely.
More Alerts Are Not Free: Why Throttled Delivery Exists (and How to Use It)
Every notification has a hidden cost: attention, trust, and reaction quality. This piece explains why serious alert systems throttle delivery, how per-market and per-wallet cooldowns reduce self-sabotage, and how to align your plan with the kind of mistakes you want to avoid.
What Whale Score Actually Is (and Why Treating It Like an Oracle Will Burn You)
Whale Score is a ranking lens: it compresses behavior, timing, and impact into something you can scan quickly. This article separates what that compression can justify from what it cannot—so you use the score as a filter, not a substitute for thinking.
From Wallets to Playbooks: How to Build Follow Strategies for Polymarket Smart Money
Copying big wallets blindly is a fast way to become exit liquidity. This deep dive shows how to classify whale behaviors on Polymarket and turn them into robust follow playbooks—with clear scopes, triggers, sizing rules, and exits.
Signal Half-Life in Prediction Markets: How Long Does Whale Alpha Last?
On Polymarket, the difference between riding smart money and becoming exit liquidity is measured in minutes, not days. This deep dive explains signal half-life—the time it takes for whale-driven edge to decay—and how to build trading rules around it.
Cross-Market Price Discovery: Which Market Leads, Which Follows, and Why
In correlated Polymarket markets, not all prices are equal. Some markets lead price discovery; others follow with a delay. This post lays out a practical lead–lag workflow (cross-correlation plus a simplified causality check) you can reproduce using public price endpoints—then shows how to turn “leader flow” into actionable trades.
Liquidity Regimes: Detecting When a Market Turns ‘Tradable’ (Before the Crowd)
A Polymarket market can flip from untradable to efficient in hours—spread compresses, depth refills, and whales suddenly matter. This post builds a practical tradability score from spread, depth, and cancellation pressure, with a reproducible way to compute it using public order book endpoints.
Resolution Risk & Wording Arbitrage: The Hidden Edge (and Hidden Landmines)
In prediction markets, you can be right about reality and still lose money. The gap is resolution: wording, sources, edge cases, and oracle mechanics. This guide shows how to score resolution risk, spot “same idea, different contract” mismatches, and build a repeatable pre-trade checklist using public market metadata.
Smart Collections as Portfolios: Building and Stress-Testing Thematic Whale Baskets
A Smart Collection isn’t just a list—it’s a portfolio. This post shows how to build thematic whale baskets with portfolio discipline (constraints, diversification, turnover), then stress-test them under three regimes: correlation spikes, liquidity collapses, and event shocks. Includes reproducible checks using public wallet/market data and a practical checklist.