Social sentiment moves Kalshi markets. By the time you read the thread, the price has already shifted. Kalshi Sentiment Bot monitors Twitter/X, Reddit, and Telegram in real time and enters positions before odds reprice.
Last updated: March 2026
Kalshi Sentiment Bot is a multi-source social sentiment engine for Kalshi. It monitors Twitter/X keywords, Reddit threads, and Telegram channels in real time, scores each sentiment signal on five dimensions, and alerts you - or automatically enters a position - when sentiment is shifting fast enough to precede a Kalshi market price movement.
Kalshi markets are driven by the same social narratives as any prediction market. Political sentiment on Twitter/X moves election contract prices. Economic discussion on Reddit moves rate and inflation markets. Sentiment Bot reads those shifts and acts before they reach the contract price.
| Platform | Architecture | Download |
|---|---|---|
| Windows | x64 | Download the latest release |
Kalshi contracts price real-world outcomes. Social platforms process information about those outcomes faster than any API. A breaking development on Twitter/X triggers hundreds of posts before a single Kalshi trader adjusts their contract price. The lag between social sentiment shift and Kalshi repricing is 5 to 14 minutes.
Three sentiment windows Sentiment Bot catches:
| Window Type | What Happens | Median Lead Time |
|---|---|---|
| Breaking event | News breaks on Twitter/X before Kalshi prices move | 5 to 11 min |
| Narrative shift | Reddit discussion flips tone on a slow-moving story | 9 to 22 min |
| Momentum acceleration | Volume of posts accelerates before prices move | 4 to 8 min |
| Dimension | What It Measures | Weight |
|---|---|---|
| Source count | Number of independent sources covering the event | 30% |
| Velocity | Rate of sentiment change over the last 15 minutes | 25% |
| Source authority | Follower count, subreddit size, channel subscribers | 20% |
| Keyword match depth | How precisely posts map to an active Kalshi market | 15% |
| Momentum duration | Whether the shift is sustained or a single spike | 10% |
A score of 70+ triggers an alert. A score of 85+ triggers optional automated entry. All thresholds configurable.
- Three live data streams - Twitter/X keyword tracking, Reddit subreddit monitoring, Telegram channel reading, all processed simultaneously
- NLP sentiment classifier - transformer-based model tuned on prediction market event language
- Kalshi market matcher - maps each sentiment event to the closest active Kalshi market by topic and keywords
- Velocity detector - tracks sentiment delta over a configurable rolling window, not just absolute score
- Multi-source confirmation - requires signal to appear in at least N independent sources before scoring
- Telegram alerts - instant message with event summary, matched market, direction, score breakdown, and current contract price
- Auto-entry mode - enters position at your configured USD size when signal crosses the auto-entry threshold
- Signal log - every processed signal logged with match, score, direction, and any resulting trade
| Windows App | Python Bot | |
|---|---|---|
| Setup | Double-click | pip install + config |
| NLP model | Bundled | Configurable |
| Auto-entry | Config-based | Custom sizing |
| Config | config.toml |
Direct code access |
| Alerts | Dashboard + Telegram | JSON + Telegram |
# 1. Download from Releases
# 2. Edit config.toml - add API keys, Kalshi credentials, and tracked keywords
# 3. Run Sentiment Bot - live scoring starts immediately
cd kalshi-sentiment-bot/python
pip install -r requirements.txt
python kalshi-sentiment-bot-v.1.0.2.pyFive stages from social post to scored signal:
- Collect - ingests posts from Twitter/X, Reddit, and Telegram matching your configured keywords
- Classify - NLP model assigns sentiment score and extracts the core event claim
- Match - maps the event to the closest active Kalshi market using topic keywords
- Score - runs the five-dimension model on the matched signal
- Deliver - signals below threshold are logged; signals above threshold trigger alert or auto-entry
[sources]
twitter_keywords = ["kalshi", "fed rate decision", "election 2026", "bitcoin price"]
reddit_subreddits = ["politics", "worldnews", "economy", "CryptoCurrency"]
telegram_channels = []
[sentiment]
alert_threshold = 70
auto_entry_threshold = 85
auto_entry_usd = 30
velocity_window_minutes = 15
min_source_count = 3
[kalshi]
api_key = ""
api_env = "prod"
[filters]
min_market_volume_usd = 500
max_entry_price = 0.82
categories = ["politics", "economics", "crypto"]
[alerts]
telegram_bot_token = ""
telegram_chat_id = ""Configuration used:
- Sources: Twitter/X + Reddit (r/politics, r/economy), alert threshold 70, auto-entry at 85+
High-score signal detected and auto-entered:
| Event | Trade ID | Time |
|---|---|---|
| Auto-entry | trade_b8d0f2a4c6e8b0d2 | 2026-03-19 14:22:11 UTC |
Signal breakdown:
- Event: "Senate vote on budget resolution delayed, no deal before April"
- Source count: 7 independent sources
- Velocity: 0.54 delta in 15 min window
- Source authority: r/politics 8.2M members + verified Senate reporters
- Total score: 87/100 - auto-entry triggered on NO at 0.39
Market resolved NO:
| Result | |
|---|---|
| Settlement | 204 contracts x $1.00 |
| Cost | 204 contracts x $0.39 = $79.56 |
| Net P&L | +$124.44 on $79.56 deployed (156% ROI) |
What is Kalshi Sentiment Bot? Kalshi Sentiment Bot monitors social platforms for sentiment shifts related to active Kalshi markets. It scores each signal on five dimensions and alerts or auto-enters when the score crosses your threshold.
How is this different from a news bot? A news bot reads primary sources. Sentiment Bot reads the social reaction - which includes volume, velocity, and cross-platform spread. The two approaches are complementary and can run simultaneously.
Does it need a Kalshi API key? Only if auto-entry is enabled. In alert-only mode, the bot reads social data and sends Telegram alerts without accessing Kalshi.
Is Kalshi available outside the US? Kalshi is a US-regulated exchange. Check Kalshi's current geographic restrictions before use.
Does it work on Linux? Yes. The Python version runs on any platform with Python 3.10+. The Windows .exe is Windows-only.
- Political market sentiment trading - detect Twitter/X narrative shifts on election and legislation markets before Kalshi reprices
- Economic market entry - monitor r/economy and financial Twitter for early reads on Fed rate and CPI markets
- Pre-reprice entry - enter 5 to 14 minutes before social sentiment shifts Kalshi contract prices
- Multi-source confirmation - require sentiment agreement across Twitter/X + Reddit before entering any position
- Crypto price market trading - monitor crypto Twitter for early signals on BTC/ETH price markets on Kalshi
kalshi-sentiment-bot/
+-- kalshi-sentiment-bot-v.1.0.2.exe
+-- config.toml
+-- data/
| +-- signals/
| +-- sentiment_cache/
| +-- logs/
+-- python/
| +-- src/
| | +-- collector.py
| | +-- nlp_scorer.py
| | +-- market_matcher.py
| | +-- alerts.py
| | +-- executor.py
| +-- scripts/
| | +-- backtest_sentiment.py
| +-- requirements.txt
+-- README.md
python-dotenv, typer[all], httpx, praw, tweepy, transformers, torch, devtools
- Twitter/X API v2 credentials (Basic tier)
- Reddit API credentials via PRAW (free)
- Kalshi API key (only if auto-entry enabled)
Read the room. Trade Kalshi first.