What is polymarket-sports-analysis CLAUDE.md?

A project instruction file for a Python application that tracks Polymarket sports prediction-market activity. It documents setup, tests, data-update commands, and options for processing markets and trades.

Use it when developing or testing this project, updating market and trade data, analyzing results, or migrating its data to Parquet files.

It gives a coding agent the project context and the correct command sequence, reducing mistakes when changing or running the application.

How sarviinageelen/polymarket-sports-analysis configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to sarviinageelen/polymarket-sports-analysis. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/sarviinageelen/polymarket-sports-analysis/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/sarviinageelen/polymarket-sports-analysis

Made for: Claude Code.

Wrote this? Show the measurements

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README.md

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Your own site

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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/sarviinageelen/polymarket-sports-analysis/claude-md"><img src="https://agentmods.dev/badge/instructions/sarviinageelen/polymarket-sports-analysis/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,782 This file is loaded in full into every session.

When invoked 1,782 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.01782	$0.01782
Opus 5.5	$0.00713	$0.00713
Sonnet 5.5	$0.00356	$0.00356
Haiku 4.5	$0.00178	$0.00178

Measured 2mo ago against content hash 7b195de14d52, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

polymarket-sports-analysis CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

Polymarket Sports Analytics - tracks sports prediction market performance on Polymarket. Fetches on-chain trading data, calculates P&L metrics, and generates Excel leaderboards for NFL, NBA, CFB, and CBB markets.

Commands

# Install dependencies (uses venv with Python 3.12)
pip install -r requirements.txt

# Run tests
pytest tests/
pytest tests/test_markets.py -v  # Single test file

# Full pipeline (must run in order)
python update_markets.py && python update_trades.py && python update_picks.py

# Optional: flat-table analysis (after trades are populated)
python update_analyze.py

# Migrate existing CSV data to Parquet (one-time)
python update_trades.py --migrate

# update_trades.py options
python update_trades.py --resolved-only      # Only resolved markets
python update_trades.py --unresolved-only    # Only active markets
python update_trades.py --force-reprocess    # Ignore cache
python update_trades.py --verbose            # Detailed output
python update_trades.py --max-users N        # Limit users (testing)
python update_trades.py --sport nfl          # Filter by sport
python update_trades.py --pick-basis amount  # Classify picks by amount held

# update_picks.py / update_analyze.py CLI mode
python update_picks.py --sport NFL --season-id 2025 --weeks 5
python update_picks.py --sport NBA --season-id 2025-26 --last5
python update_analyze.py --sport CFB --season-id 2025 --weeks 3-5

Architecture

Four-stage Parquet pipeline:

Gamma API (REST)           GraphQL Subgraphs (Goldsky)
      │                           │
      ▼                           ▼
update_markets.py ──► update_trades.py ──► update_picks.py
      │                    │              ──► update_analyze.py
      ▼                    ▼                    │
db_markets.parquet   db_trades_*.parquet   leaderboard_*.xlsx / analysis_*.xlsx

Stage 1 - update_markets.py: Fetches moneyline markets from Polymarket Gamma API by series ID (NFL=10187, CFB=10210, NBA=10345, CBB=10470). Filters to moneyline only, determines winners (price > 0.95). Deduplicates on condition_id.

Read the full file on GitHub · 151 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 151 lines · 1,782 tokens per session scan A 7b195de14d52

Subscribe to this mod's changes

polymarket-sports-analysis CLAUDE.md is an instructions file published in the GitHub repository sarviinageelen/polymarket-sports-analysis (12 stars, last pushed 8mo ago), licensed MIT. It adds 1,782 tokens to every session, about $0.0071 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Finance and fintech api data-analysis defi graphql polymarket prediction-markets

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polymarket-sports-analysis: Instructions file for Claude Code