DOPAY Academy

Explains why risk management starts with survival, separate capital buckets and pre-defined loss boundaries rather than a prediction about the next trade.

Builds a practical capital map and stress-tested risk card so a learner can see what is protected, what may be lost and when activity should pause.

Explains how to turn account equity into a planned risk budget while accounting for loss sequences and correlated exposure rather than prescribing one universal percentage.

Turns a risk percentage into a worksheet that tests current equity, losing streaks, correlated positions and stressed execution before the number is accepted.

Shows how planned loss and invalidation distance determine position size, with PHP examples and execution-cost adjustments.

Audits position size from current equity through invalidation distance, cost buffer, order rounding and execution feasibility.

Explains how to derive a stop from thesis invalidation while separating the analytical level from the trigger and actual execution price.

Turns stop placement into an auditable worksheet with thesis invalidation, trigger, fill range, gap stress and resulting account loss.

Explains R-multiples, break-even win rates and why payoff ratio must be interpreted together with hit rate, costs and realised exits.

Builds a realised-R worksheet that compares planned and actual payoff, then tests break-even and expectancy after execution differences.

Explains how cumulative loss limits act as circuit breakers when multiple individually acceptable trades combine into an unacceptable day, week or month.

Turns daily, weekly and monthly limits into a worksheet with clear accounting scope, breach response and reset evidence.

Shows how changing volatility can alter stop distance and position size, with ATR-style examples and explicit regime limitations.

Builds a volatility-sizing worksheet that compares ATR regimes, caps notional exposure and records event-risk overrides.

Explains why many crypto holdings can behave like one oversized position and introduces a factor-based portfolio look-through.

Builds a factor-based concentration worksheet and tests shared market, stablecoin and venue dependencies under stress.

Explains why quoted price and executable exit can diverge, using depth, spread and slippage rather than headline volume alone.

Builds an exit-stress card that converts visible depth into size-specific slippage and tests the effect of thinner markets and outages.

Explains custody and counterparty risk through control of keys, withdrawal access, operational dependencies and legal relationships.

Builds a custody and access dependency worksheet covering provider, credentials, withdrawal route, network and jurisdiction.

Explains how reserve quality, redemption access and secondary-market liquidity can separate a stablecoin’s market price from its intended peg.

Builds a leverage worksheet that compares exposure and equity sensitivity while forcing venue-specific liquidation inputs to be verified rather than guessed.

Explains how leverage magnifies exposure and equity sensitivity while keeping liquidation formulas separate from venue-specific rules.

Builds a leverage worksheet that compares exposure and equity sensitivity while forcing venue-specific liquidation inputs to be verified rather than guessed.

Explains nonlinear drawdown recovery with worked percentages and connects the mathematics to position-size discipline.

Builds a drawdown worksheet that calculates recovery requirements and ties risk to current equity rather than the old peak.

Explains why essential household liquidity and trading capital have different purposes, time horizons and acceptable risk.

Builds a household cash-bucket worksheet and stress-tests it against a simultaneous drawdown and urgent expense.

Builds a narrative framework for deciding when missing information, poor execution or impaired judgment makes no trade the better risk decision.

Turns no-trade conditions into a measurable veto worksheet with explicit restart evidence.

Explains how to classify compound crypto crises and prioritize market, security and access responses without making unverified assumptions.

Builds a timestamped compound-crisis worksheet that separates market, security and access conditions before choosing actions.

Shows how to combine Academy 10 controls into one measurable operating document with prohibited actions, escalation and change control.

Stress-tests the completed risk constitution against realistic compound scenarios and audits whether every rule is measurable and change-controlled.