
Building Turbine — a platform that lets anyone create AI-powered trading bots for prediction markets like Kalshi and Polymarket. I write about automated trading strategies, market microstructure, and how AI agents are reshaping how people trade.
People rate an identical decision far better when it happens to win (d = 1.10). The trade journal schema, calibration scoring, and Brier math that catches it.
Kalshi lists 13,394 series; only 2,408 repeat on a clock. The full automation stack — signal, sizing, execution, settlement — and the seams where bots break.
One Kalshi BTC event lists up to 188 contracts on the same underlying at the same settlement time. Here's how to automate a laddered entry across all of them.
Kalshi outcome determination can take 12+ hours after close, and an ambiguous contract may settle at its last traded price. Automate your exit first.
Learn how Kalshi automated trading works across APIs, fee tiers, bot architecture, risk controls, sandbox testing, and regulated infrastructure.
A manual Kalshi routine burns roughly 21.5 hours a week. Automating the same workflow cuts it to about 4. Here's the full task-by-task breakdown, netted.
Kalshi and Polymarket hit ~$24B monthly volume by April 2026, but liquidity isn't spread evenly. Here's when books thin out — and the filters to add.
Compare 8 prediction market trading bots and AI platforms for Kalshi and Polymarket, including execution, backtesting, risk controls, and venue support.
Test 100 strategy variants and you're ~99.4% likely to find a false positive. How Turbine's parameter sweeps and permutation tests catch it.
A $160M Polymarket market flipped from YES to NO after oracle disputes. How Kalshi and Polymarket settle contracts, and how to price resolution risk.
Hackers stole $713M from crypto wallets in 2025. Here's how to secure your prediction market bot's API keys, wallet approvals, and funds.
Prediction markets, options, and sportsbooks all bet on outcomes — but sportsbooks keep ~9% while Kalshi takes ~1.2%. A trader's 2026 instrument comparison.
Businesses already transfer $192B in crop risk and $61B via catastrophe bonds. Here's how to hedge elections, Fed decisions, and weather on prediction markets.
On Kalshi, ~95% of liquidity comes from 2,000+ small market makers — some just individuals. Here's how to quote two-sided liquidity and earn the spread in 2026.
Full Kelly has a 50% chance of halving your bankroll. Here's the sizing and risk math that keeps prediction-market traders solvent — with Kalshi numbers.
In Oct 2025, visible BTC liquidity collapsed 99.8% and spreads widened 1,321x in 40 minutes. Here's why bots die in volatility, and the vol-adjusted sizing math that survives it.
Only 3% of alerts need immediate action. Here's how to wire prediction market bots with kill switches, anomaly alerts, and auto-reconnect to run unattended.
BTC and ETH are highly correlated, but a 30-day spot-candle study did not find a clean one-candle BTC-leads-ETH signal. The better test is whether prediction markets reprice slower than spot.
Bots extracted $40M from Polymarket arbitrage in 12 months while the average arb window collapsed to 2.7 seconds. Here's the latency stack — and what retail can still win.
We tested 500 Kalshi New York temperature strategies using National Weather Service data. Most failed, but the winners had a clear pattern: weather worked best as confirmation, not contradiction.
AI agents run 30%+ of Polymarket wallets and 14 of the top 20 most profitable accounts. Here's the build-or-defend playbook for retail in 2026.
Backtest Sharpe of 2.0 typically drops to 1.0-1.5 live. Here's how to paper trade Kalshi and Polymarket strategies on live data — without risking real money.
Compare the best Kalshi trading bots in 2026: TurbineFi, PredictEngine, and Bot for Kalshi, including workflows, testing, automation, and tradeoffs.
A practical guide to the best Polymarket trading bots in 2026, with a focus on strategy design, testing, execution control, and risk management.
Compare copy trading vs custom strategy bots for prediction markets, including control, transparency, risk, and backtesting considerations.
Explore prediction market arbitrage tools for Kalshi, Polymarket, and cross-venue execution, including backtesting, fees, fills, and risk controls.
Find historical prediction market data for backtesting Kalshi and Polymarket strategies. Compare APIs, subgraphs, Dune, paid datasets, costs, and data traps.
Renaissance Medallion returned 30% in 2024. 84% of Polymarket traders haven't profited. Here's the systematic playbook to bridge that gap — signal to deployment, in 5 steps.
69% of Polymarket users trade under $1K. Here's which bots actually make sense for that — free open-source SDKs, $20/mo starter tools, and the breakeven math for each.
Learn why prediction-market backtests fail through overfitting, regime changes, and execution assumptions, plus a five-step validation process.
Bots trade 89 times a day vs 2.2 for humans. 0.1% of Polymarket accounts captured 67% of profits. Here's why retail loses on prediction markets, and what to do.
100 Kalshi BTC 15-minute strategies, each using Coinbase BTC-USD as an external signal. In this 30-day backtest, momentum beat reversion and 78 strategies made money.
A 5-minute walkthrough of creating a Kalshi account, verifying your identity, and funding it. Everything you need before deploying your first Turbine bot.
Cross-platform automation across Kalshi and Polymarket: dashboards, alerts, custom bots, and AI-powered execution platforms compared.
Cross-market prediction trading platforms compared: TurbineFi, direct APIs, OctoBot, and copy trading for traders running strategies on Kalshi and Polymarket.
Yes — backtesting bots for Kalshi and Polymarket exist. Here's what to look for in fill simulation, fee modeling, event normalization, and deployment.
Cross-platform arbitrage between Kalshi and Polymarket: how to automate hedged trades inside the 2.7-second window manual traders can't catch.
Kalshi launched crypto perpetual futures April 27. Here's how 15-minute crypto contracts work, why bots dominate them, and how they compare to Binance and CME.
We tested 4,904 Kalshi 15-minute BTC strategies across 41.8 million simulated trades. See which approaches worked, failed, and why.
The Federal Reserve published research saying Kalshi's macro forecasts beat traditional methods. Here's how to trade CPI, Fed, and jobs report contracts.
A complete guide to building a Kalshi trading bot in 2026: the Python and API approach, the AI-powered no-code approach with Turbine, and everything in between.
We generated 1,000 trading strategies and backtested every one against 30 days of Kalshi's 15-minute BTC markets. Here's what won, what lost, and the patterns behind both.
84% of prediction market traders lose money. Backtesting can change that. Learn where to get historical data, avoid common pitfalls, and validate strategies on Kalshi.
A walk through every data field Turbine Studio can condition a strategy on. Live price feeds, weather observations, and derived indicators across two providers.
The five families every prediction-market strategy falls into. What each assumes, when each wins, when each breaks, and how to tell which one your idea is.
Sports contracts drive 89% of Kalshi's revenue. Learn what's available, how they differ from sportsbooks, and what real trader returns look like in 2026.
Learn how prediction market arbitrage works across Kalshi and Polymarket, including strategy types, fees, fill risk, latency, and settlement differences.
What it actually looks like to build a prediction market trading bot with natural language — no coding experience required.
An AI agent reportedly turned $1 into $3.3M on Polymarket. Over 30% of wallets now use bots. Here's what's happening and how to build your own.
Prediction markets reward fast information processing, emotional discipline, and 24/7 availability. Here's why AI agents have a structural edge.
Build a prediction market bot from scratch with Python or use Turbine Studio's no-code approach. An honest step-by-step comparison of both paths.
Five automatable prediction market strategies for Kalshi — from mean reversion to news-driven momentum. Describe in plain English, deploy as a bot.
A realistic guide to making money on prediction markets — edge types, strategy frameworks, risk management, and why automated trading dominates.
From the CFTC v. Kalshi ruling to new platforms launching, prediction markets are going mainstream. What the regulatory landscape means for traders.
How TurbineFi went from a hedging product to an AI-powered trading bot studio — and what we learned along the way.
A walk through the first five minutes of Turbine Studio. What Starter includes, and how to go from signup to a running bot.
A complete guide to Polymarket prediction bot development in 2026: Python tutorial, API setup, strategy logic, risk controls, and the no-code Turbine route.
Polymarket vs Kalshi compared: fees, markets, regulation, API access, liquidity, and which platform is better for traders and bots in 2026.
Prediction markets let you trade on real-world events like elections, weather, and economic data. Learn how they work and how to start trading.