2012issue C0250-54
Personality-first trading system design
New traders often adopt tactics that do not match how they think or how much attention they can give. Write the strategy as a short checklist of who, what, when, where, and why, then apply Walk-forward analysis only to tactics you can actually run.
- Assess how you think, learn, and work before you adopt tactics, or the plan may not match your personality or available attention.
- Treat strategy as a linked plan of decisions toward a portfolio objective, and treat a tactic as the short-horizon skill and tool that carries out one decision.
- Write who, what, when, where, and why as a Pre-trade checklist, then use Walk-forward analysis to judge whether a tactic is feasible.
- Keep a contemporaneous journal of what was observed at entry and exit, and treat a large gap between live results and prior test reports as a signal to reevaluate.
Start with how you decide
New traders often skip self-assessment of how they think, learn, and work, then adopt tactics that do not match their personality or available attention.
Personality and information-processing assessments are used to identify compatible portfolio strategies before tactical tools are applied.
TradersWeek editorial interpretation: treat those assessments as the Trading psychology process, and complete that process before any tactic is chosen.
Separate strategy from tactics
A strategy is a linked plan of decisions toward a portfolio objective. A tactic is the short-horizon skill and tool used to carry out one decision.
Write a pre-trade checklist
A written strategy can be expressed as a short statement covering who is affected, what is evaluated, when it is reevaluated, where resources are applied, and why the approach is used.
TradersWeek editorial interpretation: treat that written statement as the Pre-trade checklist that makes the procedure reviewable before a tactic is applied.
Test only what you can run
Walk-forward testing, out-of-sample checks, and statistical review for overoptimization are used both to judge tactic feasibility and to build confidence in the procedure. Those checks are the Walk-forward analysis used to decide whether a tactic can be run as written.
A large gap between live results and prior test reports is treated as a signal that the tactic is broken and should be reevaluated.
Journal what was observed
A contemporaneous journal of what was observed at entry and exit is required so later review does not depend on memory.
All readings on this track · 50 readings
- 1990Three-window walk-forward system evaluation
- 1990Building the construction layer of a mechanical trading system
- 1991Constructing walk-forward neural trading rules
- 1991Constructing neural trading systems from facts to walk-forward
- 1992Walk-forward evaluation of stop overlays on average crossovers
- 1992Audit mechanical system tests for fills and regimes
- 1993Walk-forward evaluation of monthly yield and real-rate forecasts
- 1993Constructing walk-forward forecasts with linear and moving-average baselines
- 1993Walk-forward hybrid rules for intermarket forecast stacks
- 1994Neural-net construction as a mechanical trading-system problem
- 1995Constructing an intermarket neural net trading system
- 1996Weekly market breadth as one procedure on an unused window
- 1996Walk-forward evaluation of gold-index bond-fund rules
- 1996Evaluating weekday-in-month filters for index day trades
- 1996Require both a trend filter and a cycle oscillator before entry
- 1997Walk-forward windows as a diagnostic of parameter instability
- 1997Walk-forward validation of a market-breadth timing rule
- 1997Sunspot spikes and walk-forward evaluation of an adaptive cycle rule
- 1997A walk-forward check for bond-breadth timing
- 1998Walk-forward audit of regression trend forecasts
- 1998Evaluating a cubic least-squares currency trend with walk-forward segments
- 1998Walk-forward evaluation of recursive yen trend signals
- 1999Personal system design under crowd psychology
- 1999Walk-forward evaluation of a polynomial price forecast
- 2000Walk-forward optimization of regression-slope-angle rules
- 2001Construct a winter seasonal window as one procedure
- 2001Inspectable rules when system write-ups dry up
- 2002Evaluating mechanical systems before position sizing
- 2003Walk-forward construction of rule-based market-position systems
- 2007Evaluating metal seasonal windows across regimes
- 2007Evaluating mechanical timing systems against hold baselines
- 2011Walk-forward reoptimization as a system design gate
- 2011Evaluate generated systems on holdouts, then add stops
- 2012Walk-forward analysis and out-of-sample tests for a mechanical trading system
- 2012Personality-first trading system design
- 2012Scorecard-first mechanical system construction
- 2012Constructing an advancer-decliner moving average for market breadth
- 2012Formula search as mechanical system construction
- 2013Identity-first system construction
- 2013Construct a swing system from bias rules to walk-forward
- 2014Evaluate mechanical stock systems with stops and walk-forward
- 2014Walk-forward velocity filters on noisy intraday trends
- 2015Event-predictability versus position-constrained rules
- 2015Constructing mechanical systems for walk-forward tests
- 2016When a tested system must be retired
- 2016Walk-forward metric filters and chance-level checks for selected inputs
- 2018Evaluate mechanical trading systems without catalog rankings
- 2019Phased stop construction from entry risk to trailing exit
- 2020Stockpiling simple ideas for mechanical system construction
- 2020A pretty first draft is not a walk-forward waiver