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2012issue C0652-59

Treat the optimize view as an evaluation protocol

A prebuilt strategy can be opened in an optimize view, tested with exhaustive search or Monte Carlo, and compared with an equity curve that includes a buy-and-hold overlay. Community-tab strategies can be downloaded and then optimized as one testable procedure.

  • A prebuilt strategy can be opened in an optimize view where each parameter exposes start, stop, and step values that the tester can edit.
  • The platform offers two optimization methods: exhaustive search and Monte Carlo.
  • A run produces standard performance measures, including an equity curve with a buy-and-hold overlay.
  • Community-tab strategies can be downloaded into existing folders and then optimized as one testable procedure.
Entries in this reading3 entries
Current trackMonte Carlo simulation51 readingsWalk-forward analysis119 readingsSystem optimization131 readings

Open a strategy in the optimize view

A prebuilt strategy can be opened in an optimize view where each parameter exposes start, stop, and step values that the tester can edit.

After a strategy is built or selected, a run produces standard performance measures, including an equity curve with a buy-and-hold overlay.

Choose exhaustive search or Monte Carlo

The platform offers two optimization methods: exhaustive search and Monte Carlo.

Monte Carlo optimization is described as a random-number process that a dedicated simulation module supports.

Download a community strategy and test it as one procedure

Community-tab strategies can be downloaded into existing folders and then optimized as one testable procedure.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
17 of 26 in the Monte Carlo simulation track
201342-51 pp.Next on Monte Carlo simulationEntry, exit and abstention as one testable procedureEvaluate a mechanical-system in two gates: write entry, exit and skip so they fire without a later human edit, then resample completed trades.
All readings on this track · 26 readings
  1. 1989Known-bias price streams for system evaluation
  2. 1989Constructing holdout-checked synthetic prices from chaos maps
  3. 1991Closing the feedback loop in auction market simulations
  4. 1994Evaluating eight-year election regimes
  5. 1995Constructing equity versus leverage with resampled trades
  6. 1995Stock leverage from compounded returns and margin cost
  7. 1996Constructing and optimizing volatility position-sizing profiles
  8. 1996Constructing fade rules from an empirical deviation histogram
  9. 1998Return-path volatility and the recovery burden
  10. 1999Monte Carlo checks beyond a single historical path
  11. 2002Monte Carlo equity paths from win rate and profit factor
  12. 2003Checking a small system edge with Monte Carlo simulation
  13. 2003Evaluate a mechanical trading system with a stop-loss order and Monte Carlo simulation
  14. 2005Evaluating momentum rank rotation under portfolio constraints
  15. 2009Bounded risk and rank rotation in portfolio construction
  16. 2010A calendar for walk-forward robustness and Monte Carlo evaluation
  17. 2012Treat the optimize view as an evaluation protocol
  18. 2013Entry, exit and abstention as one testable procedure
  19. 2014Evaluating stop and target bounds before fading large moves
  20. 2014Evaluating system exits when markets get noisier
  21. 2015Memory-bearing synthetics for dominant-cycle spectra
  22. 2015Constructing next-session implied-volatility forecasts by reordering closes
  23. 2016Mechanical systems as a gated factory
  24. 2017Four-sleeve Monte Carlo annual-loss bounds
  25. 2018When to retire a mechanical system with Monte Carlo drawdown limits
  26. 2020Treat mechanical system design as a revalidation lifecycle
By fieldSystem design203 readingsBy year2012165 readings
All 51 readings tagged Monte Carlo simulation
Also on Monte Carlo simulation5 readings
2010A calendar for walk-forward robustness and Monte Carlo evaluation2016Mechanical systems as a gated factory2020Treat mechanical system design as a revalidation lifecycle1989Constructing holdout-checked synthetic prices from chaos maps1996Constructing and optimizing volatility position-sizing profiles