Start Here: How Bot Building Fits Together
A beginner roadmap connecting signals, APIs, webhooks, JSON, runtimes, state and monitoring.
Search practical articles about MetaTrader 4/5, AI-assisted coding, TradingView, webhooks, JSON, Cloudflare Workers, VPS hosting, broker APIs, deployment and troubleshooting.

A beginner roadmap connecting signals, APIs, webhooks, JSON, runtimes, state and monitoring.
A plain-English explanation of the terms used in almost every web-connected bot.
Compare a home PC, mini-PC, Linux/Windows VPS, Cloudflare Worker and MetaTrader hosting.
Define inputs, state, security, failures, tests and hosting before generating code.
Plain-English definitions with practical examples.
A practical step-by-step architecture for building a trading bot without tying strategy logic to one broker or hosting provider.
How TradingView webhook alerts send HTTP POST requests, how valid JSON changes the content type, and how to design a robust receiver.
A compact JSON guide for bot builders covering objects, types, nested data, validation, serialization and webhook mistakes.
A practical Cloudflare Worker webhook receiver with JSON validation, a dedicated secret, fast responses and backend forwarding.
How to deploy a persistent Python bot on a Linux VPS using a dedicated user, virtual environment, systemd, logs and a firewall.
A focused systemd guide for keeping Python and Node bots alive after SSH disconnects, crashes and VPS reboots.
A practical comparison of Docker and systemd for small bots, including when containers help and when they add unnecessary complexity.
How to isolate broker-specific authentication, symbols and order formats behind one internal interface.
A technical overview of using Capital.com Public API with demo endpoints, sessions, tokens, rate limits and defensive bot design.
How to handle 429 errors, timeouts and transient API failures without creating duplicate orders or retry storms.
Security patterns for public webhook endpoints, including dedicated secrets, schema validation, replay protection and least privilege.
A systematic checklist for debugging webhooks when alerts fire but the bot does nothing.
A practical logging schema for bots, plus heartbeat, health and alerting patterns that help diagnose problems after the fact.
How a small bot can use SQLite for durable event IDs, decisions and recovery without introducing a separate database server.
Technical pre-order checks that prevent duplicate positions, wrong size, stale signals and accidental live execution.
How transaction friction can erase a statistical signal, and why bot evaluation should measure edge after spread and realistic execution.
A practical guide to what backtests, paper/demo accounts and small live tests can and cannot tell you about a bot.
A field guide to common automation failures: rejected orders, stale sessions, missing data, duplicate events, restart loops and silent bots.
How to separate data collection, learning/analysis, validation and deployment so model or parameter updates do not silently damage a running bot.
A decision guide for choosing between serverless Workers and a persistent VPS, including a hybrid architecture that uses both.
How to detect a bot that is running but no longer receiving data, evaluating strategies or reaching its broker API.
A deployment checklist for proving a bot is operationally safe in demo or paper mode before any live-order switch is enabled.
A practical MT4 vs MT5 comparison for Expert Advisors, testing, Python integration, VPS hosting and long-term bot development.
When MT4/MT5 bots need a running PC, when MetaTrader VPS is enough, and when a separate Windows VPS is the better choice.
How the official MetaTrader5 Python package connects to the terminal, where it is useful, and what to run on a Windows VPS for 24/7 operation.
Reusable prompt templates for planning, coding, reviewing and debugging bots without asking an AI model to guess missing requirements.
A current guide to TradingView AI Chart Copilot, alert management, chart analysis and how it fits into a webhook bot architecture.
How browser AI such as TradingView Chart Copilot and general browser agents can help research and setup without becoming the execution engine.
A Pine Script v6 prompt pattern that reduces version mixing, repainting mistakes, invalid JSON alerts and untestable strategy logic.