Polymarket Profits 2
Build 7 Trading Bots This Weekend
Seven trading bots. Arbitrage scanner, resolution scanner, copy trader, Claude MCP agent, contrarian bot, and a multi-strategy portfolio manager. Working Python code, real fee math, and the position-sizing formula that turns a 68% win rate from a loss into a profit.
You built a bot. It wins 68% of the time. It still loses money. Chapter 10 is why. This playbook walks through the seven trading bots behind the $178K and $203K wallets posted on r/PolymarketProtestClub: arbitrage scanner, resolution scanner, copy trader, Claude MCP agent, contrarian bot, multi-strategy portfolio manager. You get working Python code and the fee math most tutorials skip.
What You'll Build
The Reddit wallet that turned $2,050 into $178K arbitraging 5-minute BTC markets, plus the four strategies behind it.
The real fee formula, CTF tokens, neg-risk markets, and the 4 APIs your bot needs.
A paper-trading bot on live market data. Zero dollars at risk.
Depth filter, slippage protection, partial-fill unwind. The fix that turned my scanner from -$180 to profitable.
Detect events before the price catches up. The 15-second staleness check that saved me $400.
Vet profitable wallets on-chain and copy their trades at scaled position sizes.
An AI agent that reads order books, reasons about trades, and explains every decision in plain English.
Fair value estimation, engagement-weighted sentiment, and the insider filter that keeps you out of political markets.
Portfolio manager, Sharpe-ratio allocation, correlation tracking, and VPS deployment.
The 68% trap explained with the EV formula, plus quarter-Kelly sizing with fees and correlation discount.
Eight red flags for evaluating any trading claim in under 30 seconds.
Edge decay detection with 5 metrics and the platform-change monitor that catches fee changes before they show up in your P&L.
Free Articles from this Book
Best Polymarket Trading Bot Books in 2027: The Shortlist
We opened all 20 first-page Kindle results for Polymarket trading bots and ranked them on code, arbitrage, copy trading, AI agents, risk and live trading.
from: Polymarket Profits 2
How to Build a Contrarian Bot for Polymarket
A Polymarket contrarian bot that uses base rates, engagement-weighted sentiment, and a political-market insider filter. With Python code and examples.
from: Polymarket Profits 2
Polymarket Position Sizing With Fee-Adjusted Kelly
Quarter-Kelly position sizing for Polymarket with the real fee formula, correlation clusters, and why a 68% win rate still loses money. With Python code.
from: Polymarket Profits 2
How to Build a Polymarket Resolution Scanner
A Polymarket resolution scanner that catches events before the price updates. Covers the 4 event types, 15-second staleness check, and edge calculation.
from: Polymarket Profits 2
Polymarket Trading Fees: The Real Formula and Table
The real Polymarket fee formula, taker rates per category from the official docs, and a worked example proving 5%+ effective fees kill most arbitrage bots.
from: Polymarket Profits 2
How to Detect Edge Decay in Your Trading Bot
Five metrics to detect edge decay in a Polymarket trading bot, plus the platform-change monitor that catches fee updates before they show up in your P&L.
from: Polymarket Profits 2