Single moving average
A systematic stocks approach—Single moving average—defined by explicit rules, testable on history, and fragile when costs or regimes change.
Overview
Single moving average sits in the Stocks chapter of the systematic catalog. On QUSXFI we treat it as a testable hypothesis: specify entries, exits, sizing, and costs—then ask whether edge survives out-of-sample scrutiny.
Discretionary traders often arrive at similar ideas intuitively; the quantitative version forces you to write the rule before you see the next bar. That discipline is what makes results reproducible—or exposes them as luck.
Based on the research catalog 151 Trading Strategies (Kakushadze & Serur, 2018), section 3.11. Educational summary—not a replication of the full formal definition.
How the Strategy Works
Data alignment for Single moving average (rolls, corporate actions, holiday calendars, contract specs) is part of the strategy, not housekeeping.
In Stocks, microstructure around opens, rolls, and fixes can dominate small statistical edges on Single moving average.
Implementation and Research Process
Walk-forward or hold-out test Single moving average; report turnover, max drawdown, and exposure—not CAGR alone.
Document Single moving average capacity in Stocks: intended participation versus average daily volume.
Archive Single moving average failure modes with dates—research firms learn from documented breaks, not from erased losing months.
Risk: What Breaks This Strategy
Single-name or factor exposure in Single moving average concentrates idiosyncratic shock risk even when the signal is 'systematic.'
Universe selection and survivorship in historical databases flatter backtests versus live investable sets.
Borrow and short availability change the short leg economics without changing the code.
Common Mistakes to Avoid
- Changing Single moving average parameters after each losing week—implicit discretion destroys reproducibility.
- Erasing losing Single moving average months instead of documenting regime breaks—that is how research firms stop learning.
- Deploying Single moving average live before paper trading through at least one adverse Stocks month.
- Confusing this educational Single moving average summary with compliance-approved investment advice.
How to Study This Strategy
- Compare Single moving average to one sidebar alternative net of costs—document why you chose this structure.
- List every data field Single moving average needs in Stocks; verify point-in-time integrity.
- Add conservative costs to Single moving average; rerun with 2× spreads and compare drawdown paths.
- Write a one-page Single moving average failure memo: three break modes and early warning signs.
- Read the catalog excerpt for Single moving average and highlight one clause your spec must not hand-wave.
Key Takeaways
- Single moving average in Stocks is a testable rule set—a systematic stocks approach—single moving average—defined by explicit rules, testable on history, and fragile when costs or regimes change.
- Translate every clause of Single moving average into code or a checklist; judgment steps are not yet quantitative.
- Capacity for Single moving average appears only when you simulate participation against average volume.
- Changing Single moving average parameters after each losing week—implicit discretion destroys reproducibility.
- Related strategies in the sidebar may share hidden exposures with Single moving average—compare before stacking.
Learning Tip
Build a 'Single moving average' research memo: hypothesis, universe, parameters, costs, kill switches—edit it before every tweak.
Explore related strategies in the sidebar or return to the full catalog.