Getting Started with Automated Trading in Digital Currency Markets
Summary
This beginner FAQ distinguishes program trading, which automates exchange actions through an API, from quantitative trading, which uses strategies to seek returns. It explains API keys and the difference between request-based REST access and subscription-based WebSocket feeds, then surveys programming options and ways to run automated systems. Automation can help monitor a continuously open market, but building a program does not make a strategy profitable.
The article also discusses choosing exchanges, learning from public strategy examples, and using backtests as references. It names arbitrage, market making, and cross-market trading as strategy categories, while warning that competition erodes excess returns and that futures are especially risky for beginners. Its platform and exchange suggestions reflect the article's 2019 context; they are not current endorsements, and it offers no performance evidence for a recommended strategy.
Key ideas
- Program trading automates exchange operations through an API, while quantitative trading adds systematic strategy design.
- REST APIs use repeated requests, whereas WebSocket connections can push subscribed updates.
- Automation can support round-the-clock monitoring and frequent execution, but it does not ensure profits.
- Backtests can inform strategy research, though the article presents them as reference rather than proof.
- The exchange and platform suggestions are time-specific, and the article cautions novices about futures risk.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.