Sentiment & Reinforcement Learning

foxstacker5000 / kalshi-sentiment-bot

What it does

Monitors Twitter/X, Reddit, and Telegram with five-dimension scoring (source count, velocity, authority, keyword match depth, momentum duration). NLP transformer classifier tuned on prediction-market language. Author claims 5–14 minute lead time before Kalshi repricing. Instant Telegram alerts with score breakdown.

What we learned from it

the multi-dimensional scoring (vs. a single sentiment number) is the right shape for sentiment signals. A 5-source spike with high authority is genuinely different from a 50-source spike from low-authority accounts; collapsing both to "high sentiment" loses the distinction.

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