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Welcome to CoinRobot A I.

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Trading intelligence, built together.

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Take the next step with us.

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A strategy contains explicit BUY, SELL and STOPLOSS rules.

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Start with an understandable trading idea, a market and a risk budget.

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The formulas shown here are educational examples, not a proven strategy or a promise of returns.

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This recording makes no AI request or live trade.

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Give the strategy a meaningful name and explain what it is intended to do.

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Choose Private for your own use, Limited for listed referrals or Public for community access.

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A clear description should explain the trading idea and limits, not advertise guaranteed performance.

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Open Available calculators and use its clipboard button.

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It copies the calculator definitions plus an AI-ready formula-writing guide.

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Give that material to your chosen AI assistant together with your own market, timeframe, entry, exit and risk requirements.

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This helps avoid invented indicator names or unsupported operators.

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Ask your assistant to return separate BUY, SELL and STOPLOSS formulas using only the supported catalogue.

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Request a plain-language explanation and review the assumptions.

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This labelled example response is an illustration; it is not evidence that an AI produced a profitable trading system.

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Copy only the BUY expression into BUY strategy, without prose or code fences.

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Our example combines price above a short-term moving average with momentum confirmation.

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Review the exact thresholds and missing-data behavior before testing it.

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Paste the ordinary exit rule into SELL strategy.

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The example waits for a profit threshold and momentum deterioration.

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An ordinary SELL may have different eligibility conditions from protective STOPLOSS, so do not assume it covers every losing position.

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Put the protective rule into StopLoss strategy.

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Our simple example uses a negative two-point-five-percent position threshold.

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That is a rule condition, not a guaranteed maximum fill loss.

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The Plan must also enable StopLoss for it to act.

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Execution timing, gaps and costs still matter.

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Use the formula-test controls to check evaluation against the selected symbol, and review the result.

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A valid expression or one successful evaluation does not prove profitability.

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Backtest and review behavior before risking capital, then save the strategy deliberately.

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The strategy list shows its name, ID, version and usage.

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Review which version a Plan follows before changing rules.

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The sharing control can produce an invitation linked to a strategy, but public visibility alone does not prove quality.

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This saved sample already exists only in the isolated fixture.

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The strategy owner can request AI review once per strategy family per UTC day when Plan evidence is available.

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Open AI review to see the scope and cost.

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A new strategy with no usage evidence may not be eligible.

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The example dialog is not submitted.

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The current review costs one hundred credits after a successful AI analysis, even when the conclusion is to leave formulas unchanged.

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Queueing alone does not charge, and a transport failure or unavailable response is not charged.

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The request is processed asynchronously and the result arrives by email.

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Review any adopted change against later evidence.

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Your strategy.

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Your robot.

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Your next move.

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Continue learning at x dot coin robot dot A I, slash docs.