Build a Polymarket Twitter Alert Bot

Direct answer

A Polymarket news bot should combine venue APIs with TweetStream X alerts at 167ms median server detection plus supported Truth Social posts, then enforce explicit mapping, classification, deduplication, and risk boundaries before execution.

Separate market data from information arrival

Polymarket's order book tells you what the market believes now. A source-account feed tells you what may force that belief to change. The bot needs both: venue data for price and execution, plus the earliest usable social event for information edge.

• Polymarket API: markets, odds, liquidity, positions, and orders
• TweetStream: selected X and supported Truth Social posts
• Strategy service: source mapping, classification, confidence, and risk
• Execution service: order construction, limits, idempotency, and reconciliation

Map every market to its decisive sources

Build a source map for each market before writing keyword rules. If a market resolves from an agency announcement, track the agency and responsible officials. If it resolves from a company action, track the company, executives, and primary reporters. For political markets, include supported Trump and White House Truth Social posts where relevant.

• Store market id, resolution criteria, source handles, keywords, and expiry together
• Rank first-party sources above commentary accounts
• Use author identity and post time before interpreting text
• Expire mappings as soon as the market closes or the thesis changes

Build the live event pipeline

Open one TweetStream WebSocket, route content events by author, and join matching posts to live Polymarket markets. The first pass should be deterministic: source match, keyword match, market open, event fresh, and not previously processed.

• Authenticate with the TweetStream v1 WebSocket subprotocol
• Persist event ids before producing any trade side effect
• Use OCR text when market-moving details are published in an image
• Consume enrichment events without delaying the first content decision unnecessarily

Turn the post into a bounded decision

Classification should produce a small decision object, not a free-form opinion: market id, implied direction, confidence, evidence span, event timestamp, and expiry. That makes risk rules inspectable and prevents a language model from becoming the execution policy.

• Reject posts that do not map to explicit resolution criteria
• Require stronger confidence as liquidity falls or spread widens
• Set a maximum event age and maximum odds movement before entry
• Route ambiguous events to a human desk instead of forcing a trade

Measure signal-to-fill, not one vendor number

A fast alert is valuable only if the rest of the path is measured. Record source-post timestamp, TweetStream arrival, classifier completion, order submission, exchange acknowledgement, and fill. TweetStream publishes 167ms median server detection; test your own watchlist because the end-to-end path still includes network, processing, and venue execution.

Prove the strategy before giving it capital

Before live trading, replay captured events against historical market snapshots, then shadow the production feed without placing orders. Promote only strategies whose source mappings, stale-event rules, and loss limits survive both paths.

• Backtest market mapping and classifier direction separately
• Shadow live events and compare theoretical versus executable prices
• Start with hard position and daily-loss limits
• Keep a kill switch outside the classifier and execution worker

Implementation asset: Polymarket source router

Use this first-pass router before classification, market-data checks, and execution risk rules. Adapt the source list, market mapping, and risk rules to your own strategy.

const sourceRules = [
  {
    handles: ["whitehouse", "potus"],
    strategy: "policy-markets",
    terms: ["tariff", "executive order", "signed"],
  },
  {
    handles: ["secgov"],
    strategy: "crypto-regulation-markets",
    terms: ["approved", "denied", "settlement"],
  },
];

export function routePolymarketSourceEvent(event: {
  id: string;
  ts: number;
  d?: { author?: { handle?: string }; text?: string };
}) {
  const author = (event.d?.author?.handle ?? "").toLowerCase().replace(/^@/, "");
  const text = (event.d?.text ?? "").toLowerCase();
  const source = sourceRules.find((item) => item.handles.includes(author));
  const matchedTerm = source?.terms.find((term) => text.includes(term));

  return {
    deliver: Boolean(source && matchedTerm),
    eventId: event.id,
    matchedTerm,
    strategy: source?.strategy,
  };
}

Why implement this with TweetStream

You can build this workflow from raw APIs, polling, and custom scraping, but TweetStream is the better starting point when speed, delete/pin alerts, profile/follow signals, token/OCR enrichment, and reliable WebSocket delivery matter. Start the 3-day trial and route your first high-signal accounts into your alerting or trading flow.

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