Skip to content Lesson 7 — Risk, hedging & deployment Final lesson: implement green-up hedges and risk controls, ensure idempotent and observable order flows, and deploy your bot safely using Docker or a VPS with proper monitoring and runbooks. Estimated…
Skip to content Lesson 6 — Backtesting & analysis (Jupyter) Use Jupyter to replay historical market data, simulate order execution and compute P/L and performance metrics. We’ll build small, testable backtest components you can evolve into more advanced systems. Estimated…
Skip to content Lesson 5 — Webhooks & alerts Receive TradingView alerts via a secure webhook, verify the HMAC signature, map the alert to a Betfair market/selection and trigger an idempotent order placement in the sandbox. Estimated time: 45–60 minutes…
Skip to content Lesson 4 — Order placement (sandbox) Place BACK and LAY orders safely in the Betfair sandbox, handle partial/unmatched fills, cancellations, idempotency and retries. This lesson focuses on safe order logic and interpreting API responses. Estimated time: 60…
Skip to content Lesson 3 — Market lookup & selections Learn how to discover markets, parse runners and build selection filters so your bot can target the right markets programmatically. Estimated time: 45 minutes • Skill level: Beginner → Intermediate…
Skip to content Lesson 2 — Authentication & API basics Implement secure authentication for the Betfair API, handle token/session flows, store secrets safely and create a resilient request helper with retries and exponential backoff. Estimated time: 45–60 minutes • Skill…
Skip to content Lesson 1 — Betfair: Environment & sandbox setup Get your Python environment ready, create a Betfair sandbox/test account, and run a short smoke test. This lesson prepares you to follow the Betfair track tutorials. Estimated time: 30–45…
Annotated notebook pattern for loading ticks, building signals and exporting trade logs for bot replay (ideal for Binder/Colab). Jupyter Category: Code Library • Tags: jupyter, backtest, pandas • Published: PUBLISH_DATE Notebook snippet (pandas) Copyimport pandas as pd df = pd.read_csv(‘ticks.csv’,…
Minimal, secure Flask handler pattern for TradingView webhooks: verify HMAC signature and enqueue processing. Python (Flask) Category: Code Library • Tags: python, webhook, flask • Published: PUBLISH_DATE Handler — copyable code Copyfrom flask import Flask, request, abort import hmac, hashlib,…
TradingView Pine v5 example and recommended webhook payload for automation pipelines (include a secret in the alert). Pine Script Category: Code Library • Tags: pine, tradingview, webhook • Published: PUBLISH_DATE Pine v5 example Copy// @version=5 indicator(“Simple Alert Example”, overlay=true) sma…
