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Copy-Trading Engine

LuckyPlans combines historical research with live copy-trading workflows. The live engine and the simulation engine share concepts, but they should not be treated as the same operational mode.

Supported copy styles​

Default copy​

Follower actions aim to mirror the leader's direction and timing as closely as the configured workflow allows.

Reverse copy​

Follower logic intentionally inverts the leader's direction. The current backend also uses reversed mode in simulation workflows.

Filtered copy​

Leader selection or automation setup can be filtered by research signals such as trade count, R², slope, leverage, or platform scope.

Risk-capped copy​

Follower strategy settings can constrain behavior through collateral, leverage, max open missions, or similar risk boundaries.

Ratio-based copy​

The model supports a ratio concept for scaling follower behavior relative to a leader.

Collateral-based copy​

Follower exposure can also be interpreted through collateral sizing rather than simple one-to-one mirroring.

Why follower results differ from leader results​

  • different position sizing rules
  • leverage caps
  • collateral constraints
  • slippage and execution timing
  • venue-specific behavior
  • contract version differences
  • mission and task lifecycle differences
  • reverse-copy mode

Research signals used in the product​

  • Trend
  • Slope
  • R²
  • Sample size
  • Win rate
  • PnL quality
  • Drawdown
  • Leverage
  • Average collateral
  • Position duration

Copy-trading score caveat​

Any copy-trading score or ranking should be treated as a research signal, not a guarantee. Good historical behavior can still fail under new market conditions, contract changes, or thin liquidity.