Plain-English summary
A bot is simply software that receives information, applies rules, remembers enough state to avoid mistakes, and takes an action. The hard part is not the word “bot”; it is deciding where each responsibility belongs and what should happen when something fails.
Four questions explain most bot architectures
What starts it?
A TradingView alert, timer, market-data stream, button, sensor, email event or another program can create the first event.
Where does logic run?
On your PC, a mini-PC, a VPS, Cloudflare Worker, MetaTrader terminal or another cloud runtime.
How do systems talk?
Usually through HTTP APIs, webhooks, WebSockets or platform-specific interfaces. JSON is often the data format carried between them.
What happens if it fails?
Good systems define retries, duplicate protection, logs, health checks and a safe way to stop new actions.
A simple example from signal to action
Imagine TradingView detects a condition. It sends a webhook to a Cloudflare Worker. The Worker checks that the message is authentic and valid, then forwards a clean event to a Python service on a VPS. The Python service checks current state and risk rules. A broker adapter converts the internal order request into the broker's API format. The result is written to logs and state storage.
TradingView alert
↓ HTTP POST + JSON
Cloudflare Worker
↓ validate / authenticate
Python bot on VPS
↓ strategy + state + risk
Broker adapter
↓ broker API
Order result
↓
Logs + database + alertThe same architecture can be simplified. A Worker can do the whole job for a short stateless task. An MT5 Expert Advisor can keep everything inside MetaTrader. A local Python script can run on your own PC while you are learning.
What is an API?
An API is a defined way for one program to ask another program for data or an action. Instead of clicking a broker website manually, software can send an authenticated request such as “show current positions” or “place this demo order.” APIs have rules: addresses called endpoints, accepted data fields, authentication methods, rate limits and possible error responses.
What is a webhook?
A webhook is usually the opposite direction from polling. Instead of your bot repeatedly asking “has something happened?”, another service sends an HTTP request to your URL when the event happens. TradingView alerts are a common example. A public webhook endpoint must be treated as an exposed door: authenticate it, validate the body and reject duplicates.
What is JSON?
JSON is a text format for structured data. It lets the sender label values so the receiver knows what they mean. A message can contain a symbol, action, timestamp and event ID rather than one ambiguous text string.
{
"event_id": "alert-20260906-001",
"symbol": "BTCUSD",
"action": "buy",
"created_at": "2026-09-06T15:00:00Z"
}Where does the bot run?
| Place | Good for | Main limitation |
|---|---|---|
| Your PC | Learning, development, manual testing | Stops when the PC sleeps, shuts down or loses internet |
| Mini-PC | Dedicated home automation or local services | You maintain power, network and hardware |
| Linux VPS | 24/7 Python/Node services, databases, WebSockets | You administer a server |
| Cloudflare Worker | Webhooks, validation, API routing, short serverless tasks | Not a normal always-running desktop process |
| MT4/MT5 terminal | Expert Advisors written for MetaTrader | The terminal/runtime must keep running somewhere |
| MetaTrader VPS | Hosting MetaTrader EAs without leaving the home PC on | Not a general-purpose Windows desktop server |
Read the full hosting comparison →
Where AI fits
ChatGPT, Claude and other coding models can help turn a specification into code, explain errors, review architecture and write tests. They are not a substitute for deterministic production rules. A good workflow is: describe exact inputs and outputs → generate a small version → review it → test in a safe environment → add logging and failure handling → only then connect it to real actions.
A sensible learning order
- Learn the data path. Understand HTTP, API, webhook and JSON.
- Build a receiver. Make one endpoint accept and validate a test event.
- Add state and logs. Give every event an ID and record decisions.
- Connect a safe action. Use demo/paper mode or a harmless test API.
- Make it survive restarts. Decide whether the runtime belongs on a PC, VPS, Worker or platform.
- Add monitoring. Know when the bot is alive but no longer doing useful work.