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Automated trading

Automation eliminates emotional mistakes and replaces them with technical ones. It's useful for discipline and doesn't solve the problem of actually having a viable strategy.

Learning objective: After this lesson, you can assess which mistakes automated trading actually solves and which it merely shifts.

1 min read Last checked: 2026-09-09

A program sticks to the rules, even at night, even after three losses. That's the real advantage over a human, and it's not a small one.

What automation can't do: make a bad strategy good. A program just executes a negative expected value more reliably. The question of strategy therefore still comes before everything else.

New sources of error come with it. Dropped connections, wrong order sizes from a typo, an interface that changes, a program that double-buys after a crash. Such mistakes happen fast and at scale.

And a warning about purchased bots: if someone's selling a program that reliably makes money, ask why they're selling it instead of using it themselves. Nobody has convincingly answered that question yet.

Summary

  • Automation solves the discipline problem, not the strategy problem.
  • Technical failures act fast and at scale.
  • Anyone with a working strategy wouldn't be selling it.

Did you get it?

Where does automation's real benefit lie?

In eliminating the gap between a defined and an actually executed strategy.

What safeguards does an automated system need?

Caps on order size and count, position reconciliation, defined behavior on connection loss, and a kill switch.

Why is selling a trading system a warning sign?

Because a working strategy's earnings scale with capital, while software sales scale with customer count instead.

Check your understanding

Sources and further reading

  • Morningstar's annual "Mind the Gap" study shows that the dollar-weighted returns investors actually earn regularly lag reported fund returns, because purchases and sales are poorly timed. View source ↗

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Where to go from here

Next lessonDeFi: staking, lending, liquidity pools