jazzmine-p/weather-forecast-automated-trading
Recurrent neural networks (LSTM) trained on weather data to predicts daily temperatures. These predictions are then fed into Kalshi’s API to automatically execute event-based trading strategies.
This project helps speculative traders or event-based investors automatically bet on weather outcomes. It takes historical weather data and current conditions to predict daily temperatures, then feeds these predictions into Kalshi's API to make automated trades. The end-user is a trader looking to capitalize on weather events.
No commits in the last 6 months.
Use this if you are an individual trader or a small investment firm looking to automate speculative trades on weather-related prediction markets like Kalshi.
Not ideal if you need to trade on highly precise, real-time weather fluctuations beyond daily temperature ranges or if you are looking for a fully autonomous, 'set-it-and-forget-it' solution without needing to understand prediction market dynamics.
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Last pushed
Oct 05, 2024
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