Core guides on prediction markets, automation, and getting started.
A clear, jargon-free explanation of prediction markets, the CLOB, and USDC settlement. Start here if you're new.
📈 StrategyAn honest overview of copy trading, AI signals, manual research, and arbitrage — with pros, cons, and risk context.
🛠 AutomationWhy manual trading has limits, what a bot does, how the CLOB API works, and why self-hosting beats SaaS.
⚠️ Risk & SafetyAn honest, YMYL-aware breakdown of liquidity risk, resolution risk, smart-contract risk, and responsible sizing.
⚖️ ComparisonSpeed, emotional discipline, 24/7 coverage, and sizing compared. Who should automate and when manual is fine.
🤖 Bot ReviewsAn honest comparison of every available Polymarket bot: AI signals, copy trading, self-hosted vs SaaS.
⚖️ ComparisonSpeed, discipline, 24/7 coverage, and risk controls compared. Who should automate and when manual is the call.
🔨 Build vs BuyReal time estimates, cost breakdown, and skill requirements compared. When building from scratch makes sense.
🔌 TechnicalREST API, WebSocket feeds, L1/L2 authentication, order placement, and Python examples for developers.
⚠️ Risk & SafetyWhat the rules actually say about automated trading on Polymarket, geo-restrictions, and how to stay compliant.
📈 StrategyFind top wallets, mirror their trades automatically, manage risk, and avoid the common copy-trading mistakes.
🛠 AutomationA step-by-step guide to deploying a self-hosted Polymarket bot on a VPS for reliable 24/7 uptime.
⚖️ ComparisonCustody, security, cost, and control compared — why self-hosting keeps your keys and funds in your hands.
The four building blocks of any bot — data, strategy, execution, and risk — and how a trade flows through them.
🤖 Trading BotsWhat automation can and can't do, realistic expectations, and how to evaluate a bot before trusting it with capital.
🤖 Trading BotsAPI key handling, wallet separation, secrets management, and server hardening to reduce the risk of lost funds.
🤖 Trading BotsTransparency, security, support, and total cost compared — and which model fits which kind of trader.
🤖 Trading BotsWhat to log, which alerts matter, and how to keep a bot reliably online so failures don't quietly cost you.
🤖 Trading BotsData, metrics, and the overfitting traps that make backtests lie — plus a safe path from backtest to live.
Copy trading, arbitrage, market making, momentum, mean reversion, news, and hedging — with pros, cons, and risks.
📈 StrategySpotting price discrepancies, the math behind it, execution speed, and why 'risk-free arbitrage' is a myth.
📈 StrategyQuoting both sides, capturing the spread, managing inventory risk, and why a bot is essentially required.
📈 StrategySpotting overreactions, automating entries and exits, and the danger of trading against real news.
📈 StrategyRiding probability trends — signals, trailing exits, and why momentum reverses fast around resolution.
📈 StrategyBuilding a news pipeline, the latency problem, filtering false signals, and risk controls for big moments.
📈 StrategyPre-game value, in-game trading, liquidity timing, and managing fast-moving odds with a bot.
📈 StrategySmall, frequent trades, tight spreads, and why fees and slippage decide whether scalping survives.
📈 StrategyFind top wallets on the leaderboard, vet their track records on-chain, and turn whale activity into a disciplined strategy.
📈 StrategyHow the fast BTC 15-minute up/down markets work — and how bots trade them with signals and strict risk limits.
📈 StrategyPolls vs prices, the longshot bias, liquidity cycles, resolution rules, and disciplined trading for the 2026 cycle.
Bids, asks, depth, and how fills work — so you can read liquidity and price your orders smarter.
🔌 TechnicalWhat causes them and how limit orders, sizing, and timing reduce the trading costs that quietly erode returns.
🔌 TechnicalHow to measure liquidity, find liquid markets, and avoid getting stuck in a position you can't exit.
🔌 TechnicalAuth, building an order, posting it, and handling responses — a practical walkthrough with Python code.
🔌 TechnicalHow throttling works and how to handle it with batching, backoff, caching, and WebSockets.
🔌 TechnicalChannels, subscriptions, reconnects, and why streaming the order book beats polling REST endpoints.
🔌 TechnicalWhat each order type does and when to use it for better fills and tighter execution control.
🔌 TechnicalPrice history, trades, and resolved outcomes — where to find them and how to build a clean backtesting dataset.
How to size positions — and why most traders should size smaller than the math suggests.
⚠️ Risk & SafetyStop-losses, exposure caps, daily loss limits, and kill switches that protect capital automatically.
⚠️ Risk & SafetyHow much to allocate, unit sizing, risk of ruin, and rules to keep one bad streak from wiping you out.
⚠️ Risk & SafetyTelling variance from a broken strategy, sizing down, and when to pause a bot — without revenge trading.
⚠️ Risk & SafetyFrom ignoring liquidity to overfitting backtests — the avoidable errors that sink most bot traders.
⚠️ Risk & SafetyThe optimistic oracle, dispute windows, ambiguous rules, and how traders and bots should handle resolution risk.
An honest look at the time, cost, and skill required — and who actually benefits from a bot.
⚖️ ComparisonFeatures, hosting, supported venues, and security compared to help you choose the right tool.
⚖️ ComparisonA realistic breakdown — software, VPS, gas, and trading fees — so you can budget before you start.
⚖️ ComparisonFundamentals first, small size, risk limits, and realistic expectations — a safe path from zero to running a bot.
⚖️ ComparisonCustody, APIs, fees, market coverage, and regulation compared — which venue fits automated trading.