Betfair API Betting Signal Engine Development
Budget: £250 – £750 GBP
Betting Signal Developer – Betfair API + Market Simulation System
Project Objective
Build a live, automated betting signal engine that:
- Connects directly to Betfair Exchange live markets
- Streams real-time price, volume, and graph data
- Calculates custom BTL Ratios, Confidence Scores, Lay Pressure, and other market indicators
- Logs market behavior and outcomes to support daily simulations and scoring logic
- Flags back/lay signals, market misdirection events, and false negatives
Tech Stack & Skills Required
- Strong experience with Betfair Exchange API (Streaming + Historical if possible)
- Proficient in Python (preferred) or Node.js, with good understanding of async handling
- Ability to handle live data streams, manage API rate limits, and log efficiently
- Experience with data pipelines or betting signal models a big bonus
- Familiarity with market metrics like BTL ratio, liquidity shifts, late drifters, compression patterns, etc.
- Optional: GUI/dashboard experience for displaying signal orders (e.g. Streamlit, Flask)
Core Tasks
1. Live Market Feed
- Pull current prices, back/lay depth, matched money
- Extract data for top 3 runners in all UK/IRE races pre-off
2. Signal Engine
- Calculate custom BTL ratios and Confidence Scores based on defined logic
- Monitor market pressure and flag late surges/drifts
3. Simulation Support
- Log all inputs (market, time, final price)
- Tag races with signals: bullish, bearish, neutral-stable, misdirection, etc.
- Store outcomes for comparison to live race results
4. Optional Add-ons
- Alert system for flagged lays/back bets
- Historical data backfill for retrospective analysis
Work Structure
- Remote / freelance preferred
- Open to part-time contract, retainer, or fixed milestone-based payment
- Work directly with model owner (horse racing expert with structured system in place)
Project Objective
Build a live, automated betting signal engine that:
- Connects directly to Betfair Exchange live markets
- Streams real-time price, volume, and graph data
- Calculates custom BTL Ratios, Confidence Scores, Lay Pressure, and other market indicators
- Logs market behavior and outcomes to support daily simulations and scoring logic
- Flags back/lay signals, market misdirection events, and false negatives
Tech Stack & Skills Required
- Strong experience with Betfair Exchange API (Streaming + Historical if possible)
- Proficient in Python (preferred) or Node.js, with good understanding of async handling
- Ability to handle live data streams, manage API rate limits, and log efficiently
- Experience with data pipelines or betting signal models a big bonus
- Familiarity with market metrics like BTL ratio, liquidity shifts, late drifters, compression patterns, etc.
- Optional: GUI/dashboard experience for displaying signal orders (e.g. Streamlit, Flask)
Core Tasks
1. Live Market Feed
- Pull current prices, back/lay depth, matched money
- Extract data for top 3 runners in all UK/IRE races pre-off
2. Signal Engine
- Calculate custom BTL ratios and Confidence Scores based on defined logic
- Monitor market pressure and flag late surges/drifts
3. Simulation Support
- Log all inputs (market, time, final price)
- Tag races with signals: bullish, bearish, neutral-stable, misdirection, etc.
- Store outcomes for comparison to live race results
4. Optional Add-ons
- Alert system for flagged lays/back bets
- Historical data backfill for retrospective analysis
Work Structure
- Remote / freelance preferred
- Open to part-time contract, retainer, or fixed milestone-based payment
- Work directly with model owner (horse racing expert with structured system in place)
Related categories:
JavaScript
Python
Software Architecture
Node.js
Flask
Signal Processing
API Integration
Market Analysis