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A hybrid approach: trade manually, but let code enforce risk limits. It combines discretionary judgment with mechanical discipline.

Examples of algorithmic brakes:
- Daily loss limit: an EA closes all positions and disables trading when daily loss reaches a threshold.
- Max trades per session: an EA blocks new orders after N trades.
- Max position size: orders above a size are rejected or reduced.
- Time windows: orders outside allowed hours are closed immediately.
- Cooldown after losses: after two losses, new orders are blocked for 15 minutes.

Implementation:
- A trade manager EA running on a chart, monitoring OnTradeTransaction.
- Some platforms or tools have built-in risk limits.

Benefits:
- Removes the need for willpower at the moment of highest emotion.
- Consistent enforcement.

Drawbacks:
- Can be bypassed if you really want to (another terminal, mobile app).
- Bugs in the EA could close trades unexpectedly.

Do you use any automated risk limits on manual trading?

Anyone with access to a time-and-sales feed on a currency future can watch trades arrive one by one. It looks chaotic at first. Patterns emerge after a few sessions.

A steady run of small prints at the offer, each a lot or two, usually means a retail-style or algorithmic buyer working a position. A single print of several hundred contracts is a different animal, something institutional or a stop being triggered.

Speed matters. Prints coming in bursts of ten or twenty per second, then pausing, often indicate an algorithm slicing a big order. Prints arriving at irregular intervals suggest discretionary activity.

Trade size relative to the quoted size is revealing too. A print that clears the whole visible offer and moves price one tick is more meaningful than the same size absorbed without any movement.

Watching absorption is probably the most useful skill. If big buyers keep hitting the offer and price won't rise, someone is selling into it and has plenty to sell. That tends to resolve in one direction eventually, and it's often the opposite of what the buying volume implies.

None of this is spot data, and everything has to be translated back into the spot market with a bit of faith.

Even so, an hour of tape reading teaches more about how price actually moves than a week of staring at candles.

What patterns on the tape have turned out to be reliable, and which ones were a waste of time?