bot

Identify mispriced Polymarket markets using live data, Perplexity research, and Claude fair-value estimates.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/serenorg/seren-skills --skill bot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bot
Source: https://github.com/serenorg/seren-skills/tree/main/polymarket/bot
Command: npx skills add https://github.com/serenorg/seren-skills --skill bot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, python-dotenv, and includes scripts (resource) components.

What problem does it solve?

Automates the end-to-end workflow for Polymarket trading, including market scanning, AI-assisted research, fair-value estimation, and Kelly-criterion-based position sizing to reduce manual effort and human error.

Core Features & Use Cases

  • Market scanning of Polymarket for actionable mispriced opportunities
  • AI-powered research and fair-value estimation using Claude and Perplexity
  • Deterministic position sizing with Kelly Criterion and risk controls
  • Dry-run mode for safe validation and logging of results
  • Autonomous operation via seren-cron scheduling and robust logging

Quick Start

Run a dry-run to verify opportunities and model outputs before enabling live trading.

Frequently Asked Questions about bot

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Polymarket trading with AI fair-value estimates?

This bot identifies mispriced Polymarket markets by combining live market data with Perplexity research and Claude fair-value estimates, then applies Kelly Criterion position sizing within bankroll limits for autonomous trading.

How does Kelly Criterion position sizing work for prediction market trading?

Kelly Criterion position sizing calculates optimal bet fractions based on the edge between estimated fair value and market price, constraining positions within configured bankroll limits to manage risk on Polymarket trades.

Can I test Polymarket trading strategies safely before risking real funds?

Yes, the bot includes a dry-run mode that validates identified opportunities and model outputs by logging results without executing live trades, ensuring safe reproducibility before enabling autonomous operation.

Does the bot require API keys for Claude and Perplexity to scan prediction markets?

Yes, integrating Claude and Perplexity for AI-powered research and fair-value estimation requires valid API credentials stored in configuration, alongside Python dependencies like requests and python-dotenv for environment management.

What's the best way to audit autonomous prediction market trading decisions?

The bot logs all market scans, research insights, fair-value estimates, and Kelly-based positions to persistent logs, storing configuration and inputs in config.json to ensure full reproducibility and auditability.