Predict & Profit
Automated weather trading bot for Kalshi prediction markets
2 followers
Automated weather trading bot for Kalshi prediction markets
2 followers
Predict & Profit is an automated trading bot that uses GFS 31-member ensemble weather model data to find mispriced contracts on Kalshi prediction markets. The bot scores every trade on ensemble confidence, model agreement, and fee efficiency. It only fires when the edge is real. Includes full Python source code, setup guide, and trading strategy documentation. No guessing. No emotion. Just signal vs price.
Built a second version of Predict & Profit over the last couple of weeks.
The weather bot now runs on a 62-member hybrid ensemble instead of the old 31-member setup. It combines 31 GFS runs with 31 AI-powered AIGEFS runs, and only trades when the models line up with enough confidence. That made the filtering stricter, which is exactly what I wanted.
I also launched an econ bot focused on CPI and PCE contracts. That one uses Cleveland Fed nowcast data plus FRED energy signals to look for mispriced opportunities in Kalshi’s macro markets.
Everything is still built around the same idea: small size, hard data, transparency, and no hype. I show the losses too, not just the wins. The source code package includes the Python bot, setup guide, Kalshi API integration, PostgreSQL logging, and the ebook.
If you’re into prediction markets, algo trading, weather models, or macro data, I’d love your feedback:
predictandprofit.io
Built a much stronger second version of Predict & Profit.
The weather bot now uses a 62-member hybrid ensemble instead of the old 31-model setup. It combines 31 GFS runs with 31 AI-powered AIGEFS runs, which lets the bot be much stricter about confidence before it ever places a trade.
I also added an econ bot for CPI and PCE markets. That one uses Cleveland Fed nowcast data and FRED energy signals to look for contracts that may be mispriced.
What I care about most is not making the bot busier. It is making it more selective.
Less noise. Better filters. More transparency.
The full package includes the Python source code, Kalshi API integration, PostgreSQL logging, setup docs, and the ebook. Existing buyers also get the v2.0 upgrade path.
Would love feedback from anyone interested in prediction markets, algo trading, weather models, or macro signals.