BotBuild Notes
Practical bot-building guides

Build bots without locking yourself into one platform.

A technical knowledge base for building, hosting, connecting, testing and monitoring bots with MetaTrader 4/5, AI coding tools, TradingView, Cloudflare Workers, VPS hosting, JSON and broker APIs.

Browse all guidesUse the prompt library
Gold CFD chart analysis with SuperTrend and Fibonacci levels
Hands-on screenshot: chart analysis used while exploring bot rules and market context.
New to bot building?

Learn the pieces in the order they connect.

You do not need to understand every platform at once. Start with how data moves, then decide where the code should run, then add state, security and monitoring.

1

Start Here

See the complete picture: signal, webhook, backend, state and action.

2

API + Webhook + JSON

Understand the words used in almost every integration.

3

Where bots run

PC, mini-PC, VPS, Worker, MT5 or MetaTrader VPS.

4

Project checklist

Turn an idea into requirements before asking AI to write code.

Design principle

AI can help build the bot; the runtime still needs deterministic rules.

Use AI for planning, coding, reviews and debugging. Put production execution in a Worker, VPS, broker API service or MetaTrader EA with explicit state, risk checks and logs.

AI-assisted development
  ↓
reviewed source code
  ↓
Signal / JSON
  ↓
Validation / risk
  ↓
Execution adapter
  ↓
State + logs + health
Humorous illustration of a frustrated trader and a confused bot during a difficult debugging session
Illustration: bot building includes frustrating days too. The useful part is turning the frustration into a reproducible problem.
The less glamorous part

Most useful lessons start with something going wrong.

Rejected orders, stale data, bad assumptions, compiler errors and server failures are normal parts of building automation. The guides use those failures as examples instead of hiding them.

Signal ≠ executionA correct chart signal can still fail downstream.
Backtest ≠ realitySpread, slippage and live state can change the result.
Running ≠ healthyA process can exist while the API or data path is broken.
Built from hands-on experiments

This is not a library of AI-only examples.

The guides are informed by practical bot work: VPS deployment, SSH/SCP, broker integrations, historical-data checks, chart testing, logs, state databases and small execution tests. AI is used as a coding and drafting assistant, but the engineering lessons come from trying the systems and debugging what failed.

PowerShell SSH and SCP bot debugging session
VPS debugging

Real server work

Review bundles, SSH/SCP transfers and operational debugging — not just architecture diagrams.

Historical M5 market data row-count checks
Data quality

Real test data

Historical periods were checked individually because incomplete data can invalidate a backtest.

See hands-on testing notesSee what failed
Community

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Technical criticism and negative experiences are allowed when they describe what happened and what was tested. Spam, personal attacks, doxxing, unsupported accusations and promotional junk are not published.

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