Polymarket Late-Entry Trading Bot: Capturing Final-Second Mispricings on BTC Markets

·3 min read

Polymarket Late-Entry Trading Bot

General Polymarket bot guides cover CLOB wiring and risk limits. This post is about a specific strategy I shipped as open source: polymarket-trading-bot.

The edge is not predicting BTC direction. It is capturing mispriced uncertainty in the final 30-60 seconds before a 5 or 15-minute market resolves.

Install guide and dashboard demo: casatrick.github.io/polymarket-trading-bot

The core idea

When a BTC 15-minute market has 45 seconds left and YES sits at 0.88, the market still prices 12% reversal risk. The bot asks: is that 12% warranted, or is the order book too thin to reflect reality?

Entry:  Buy YES at 0.88
Payout: 1.00 on resolution
Gross return: (1.00 - 0.88) / 0.88 = +13.6%
Net after ~2% fee: ~+11.6%
Time to resolution: <60 seconds

The edge exists because liquidity providers often pull quotes near resolution, creating temporary mispricings on otherwise near-certain outcomes.

Entry conditions (all required)

Condition Threshold Why
YES probability > 0.85 Below this, risk/reward breaks down
Time remaining 5-60 seconds Outside window, edge disappears
Order book spread < 2% of implied Wide spread destroys fill quality
Asset BTC only Deepest Polymarket liquidity
Timeframe 5m and 15m More orderly final candle vs 1h

When edge disappears

Break-even win rate ≈ entry price (0.88 → need 88%+ wins)
After 2% fee:         need win rate > entry + 0.02
After 3% slippage:    edge is gone

The dashboard tracks an Edge Score in real time:

Edge Score = (actual win rate - implied probability) × 100

+5.0 = healthy (beating market expectations)
 0.0 = break-even before fees
-3.0 = stop trading

Three trading modes

Paper (default) - real market data, simulated fills with realistic slippage (0.3-3%). Run 50-100 paper trades before live.

Live - Polygon wallet + CLOB execution. Locked behind an explicit confirmation dialog - the bot will not trade real capital by accident.

Backtest - replays historical data with slippage models (None, Low, Realistic, Severe). Always backtest with Realistic - the None model overstates edge.

Risk manager: three hard rules

1. Spread guard (abort)

Max spread = implied_probability × 0.02
If actual spread exceeds threshold → ABORT

2. Slippage halt

Rolling 10-trade average slippage above 3% → halt session. At 3% slippage, a 0.88 entry edge is fully consumed.

3. Drawdown protection

Dashboard panels

The Next.js dashboard includes eight monitoring views:

Fee drag is the metric most traders ignore. At ~2% per trade and high frequency, fees can consume a large share of gross returns - the dashboard tracks this explicitly.

Production server placement

For 60-second entry windows, latency matters:

Location Latency to CLOB Verdict
Dublin (AWS eu-west-1) <5ms Best
Amsterdam ~10ms Good
US East Coast ~130ms Too slow

Polymarket geoblocks many regions. A Dublin VPS gives low latency and a non-blocked IP simultaneously.

Quick start

git clone https://github.com/casatrick/polymarket-trading-bot.git
cd polymarket-trading-bot
npm install
cp .env.example .env.local
npm run dev   # paper mode default

Required keys for live: Polymarket API credentials + wallet private key. Paper and backtest work without a funded wallet.

How this differs from my other bots

Project Strategy focus
polymarket-trading-bot Late-entry probability capture, BTC 5/15m
polymarket-arbitrage-bot Multi-strategy arbitrage (TypeScript)
polymarket-arbitrage-bot-python 5-strategy Python scanner + ranking

For production architecture patterns (reconciliation, kill-switch, PnL attribution), see the general Polymarket trading bot guide.

Disclaimer

This software is for educational and research purposes. Prediction market trading carries substantial risk. Past backtest performance does not guarantee live results. Always start with paper trading.

Need a custom Polymarket bot or dashboard? Contact me.

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