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One successful driving rehearsal does not establish readiness for

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every road Demo trading is useful for practicing a

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process and discovering errors not guaranteeing live execution We

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design a small predefined experiment Thirty observations is the

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assignment size not a magical profitability threshold or automatic

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permission to trade real money Data quality dependence between

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observations and conditions not yet encountered require separate

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examination The count is an organizational choice not proof

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of an edge

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Before starting record version symbol hours required data and

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the definition of a valid observation Include no-trade reasons

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and safety stops Do not tolerate corrupt data or

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dangerous execution just to reach the count stop and

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record why The sample endpoint is for analysis while

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a safety stop may happen earlier A rule change

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midway creates a new version Do not silently combine

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versions and describe them as one frozen experiment

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Use six hypothetical winners of two R and four

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losers of one R Gains total twelve R and

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losses four leaving eight R gross Assume an additional

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cost of one tenth R per trade total cost

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one R net result seven R average zero point

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seven R This arithmetic describes only the example Do

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not subtract costs twice if they are already included

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A positive result here does not establish the future

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effectiveness of any actual strategy

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A final total does not reveal the path Loss

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ordering maximum drawdown and open positions matter Closed-trade

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balance differs from current equity floating losses can hide

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beneath a positive balance result Trades sharing one event

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or trend are not necessarily independent Every extra row

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is therefore not automatically a new independent experiment Record

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both the drawdown path and the conditions producing the

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sample and preserve the resulting limitations in the report

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Continue when data and execution are reviewable but evidence

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remains limited Revise when a specific defect can be

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addressed in a separately tested version Stop when the

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premise or controls have failed A profitable sample may

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justify only more demo work This lesson does not

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prescribe a universal live-trading threshold The decision should

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depend on what was and was not tested not

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merely whether the most recent profit number appears green

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Report count adherence net outcome drawdown and errors together

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List missing observations unseen conditions and possible broker

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differences separately The next test needs a clear question

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Replace the market was bad or the robot was

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great with reviewable observations Label unmeasured items unknown

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A useful report does not fill gaps with unsupported

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confidence it identifies the evidence needed next and explains

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which conclusions are currently justified

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Check the example eight R gross one R cost

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seven R net Then design thirty demo observations with

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a frozen version and safety stops These seven lessons

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should produce a playbook journal and better questions not

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pressure to risk real money The paid workshop develops

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a market-condition map with sample data and review criteria

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Complete the experiment plan before starting and tie the

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decision to continue or revise to specific evidence