After ten trades, review the quality of each setup, the risk you accepted, your rule adherence, and your maximum drawdown. Ten trades cannot prove that an AI or a strategy is right, but they can show whether your decisions stayed inside a process you can repeat.
At 9:42 on a Thursday morning, Jonah sat at his kitchen table in Manchester with his phone beside a cold coffee and ten completed trades open in his journal. The tenth had closed red. He kept returning to the same question: “Was the AI wrong?”
That question gave him nowhere useful to go. Five trades had worked. Five had not. He had approved eight signals and rejected two, but his notes only said “looked good” or “felt late.” His account had dipped after three losses in a row, and he could not tell whether the drawdown came from the setups, his sizing, or the two times he moved a stop after entry.
A larger loss was on the table if he kept treating every result as a verdict on the signal. The next losing trade could arrive before he had fixed the behavior that made his risk unclear.
Ten trades are a process check, not a verdict
A sample of ten trades is too small to establish a dependable win rate or prove a strategy’s edge. Markets move through different conditions, and a short sequence can include a run of favorable entries or a cluster of losses.
The first review has a different job. It should answer whether you took trades you could explain before entry.
For each trade, record the setup conditions that made it eligible. That might include the instrument, timeframe, entry trigger, planned stop, target or exit rule, and the reason you approved or rejected the signal. Keep the language plain enough that you can compare trade one with trade ten without interpreting your own notes.
Jonah found that three of his approvals had the same weak note: “momentum looked strong.” None stated where the idea would be invalidated. The AI had generated a signal. Jonah had supplied the missing discipline.
That distinction matters. An approval-gated assistant can queue a proposed trade and leave the final decision with you. It cannot turn a vague approval into a defined risk plan.
Measure risk before you count wins
Start each review with the amount at risk at entry. Position size, entry price, and stop placement determine that number together. A tight stop with an oversized position can still create more loss than your rules allow. A small position with a distant stop can do the same.
Then compare planned risk with actual risk. Did you enter at the planned price? Did you move the stop? Did partial exits or added shares change the exposure? The journal should make those changes visible.
Jonah’s largest loss came from a trade that began within his limit. He widened the stop after the price moved against him, then kept the original position size. His journal showed one decision before entry and another decision after discomfort arrived.
The five seconds before approval matter because they force the questions that a red trade will otherwise force later. This approval checklist gives a practical structure for checking size, stop placement, downside, and invalidation before an order goes live.
Rule adherence reveals the part you can control
A trade can lose while following the plan. A trade can win after breaking it. Treating the second outcome as success trains the wrong habit.
Score each trade for rule adherence using simple fields: approved or rejected, size within limit, stop defined before entry, no stop widening, exit followed, and journal completed. A trade does not need a complicated grade. It needs an honest record.
Jonah’s ten-trade review showed that he had followed every rule on six trades. Two trades had no written invalidation point. One had exceeded his intended position size after he rounded the share count up. One involved a moved stop.
The result column looked mixed. The adherence column did not.
That gave him a useful next action: for the next ten trades, he would reject any queued signal without a written invalidation point and keep size below his predefined limit. He was no longer waiting for the AI to be perfect. He was building evidence about whether he could approve with discipline.
Maximum drawdown puts the losses in context
Maximum drawdown is the largest peak-to-trough decline in your account or trading balance during the review period. It shows the deepest hole your process created before recovery, if recovery occurred.
Track it alongside your daily loss limit and each trade’s planned risk. A short run of losses can feel like proof that everything has failed. The drawdown record gives that feeling a number and shows whether your risk rules contained the damage.
Jonah marked the balance high before his third trade, then measured the lowest point reached before the tenth closed. The figure did not tell him what the next trade would do. It showed the cost of his decisions over that sequence, including the widened stop.
He ended the review by writing one sentence at the top of the next journal page: “Approval requires a defined stop, a sized position, and a reason to reject.” The next morning, a queued signal arrived. This time, the blank invalidation field was enough for him to leave it unapproved.
Educational content, not financial advice.
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