Quick Answer
A recent r/Daytrading discussion asked how traders developed their own systems, how long it took, what testing cost, and what they would do differently. The replies were anecdotes—not proof that any method works—but several useful process themes repeated: sustained observation, adapting known ideas, matching rules to market conditions, logging trades, testing hypotheses, and choosing a style that the trader can actually execute.
Do I need to invent an original trading strategy?
No. Originality is not the same as validity. A trader can begin with a known family of ideas—such as trend following, breakouts, or mean reversion—and define a narrower version using their own market, timeframe, setup conditions, risk limits, and execution constraints.
Several traders in the discussion argued that adapting a method you understand is more practical than trying to invent something novel without enough experience. Others described discovering familiar concepts after watching charts and testing recurring patterns. Both routes lead to the same requirement: the final rules must be specific enough to test and follow.
What is a trading strategy?
A trading strategy is a documented decision process that defines when a setup applies, what triggers entry, what invalidates the idea, how risk is limited, how the position is managed, and how the trade is reviewed. A chart pattern or indicator by itself is not a complete strategy.
Doji Doggo treats strategy building as rule definition, not market prediction. The purpose is to make a trader’s own process observable before execution and reviewable afterward.
How do I find a strategy idea?
Start with a narrow observation rather than a performance target. Choose one market, session, timeframe, or recurring condition and record what appears to happen before, during, and after it.
Examples of research questions include: Does price behave differently after a failed breakout? Under which conditions does a pullback continue rather than reverse? When does a range remain balanced, and what evidence shows that balance has ended?
The Reddit discussion repeatedly emphasized observation and replay. That can generate hypotheses, but visual familiarity should not be mistaken for evidence. Write the observation down before checking how it performed historically.
How do I turn an observation into a testable hypothesis?
A useful hypothesis states the conditions, the expected behavior, and what would disprove it. Replace “this pattern looks strong” with a statement such as: When conditions A, B, and C are visible during a defined session, price reaches the planned exit condition before the invalidation condition often enough to justify further testing after costs.
Define these elements before testing:
- Market and timeframe
- Market context required for the setup
- Observable setup conditions
- Exact entry trigger
- Invalidation and stop rule
- Target or exit rule
- Maximum risk and trade-frequency limits
- No-trade conditions
- What data will be recorded
Use the free Doji Doggo Trading Rules Builder to expose rules that are still undefined.
How should I backtest a trading strategy?
Apply the same written rules across a representative historical sample and record every qualifying instance, not only memorable or attractive examples. Include losing periods and different market conditions. Track rule-level data as well as outcomes.
The SEC describes back-tested results as hypothetical and warns that past performance does not predict future performance. Research on backtest overfitting also shows why repeatedly trying variations on the same history can produce an attractive result that does not hold up out of sample.
Reduce avoidable bias by keeping a record of every variation tested, reserving data that was not used to design the rules, accounting for fees and realistic execution assumptions, and resisting the urge to repair every historical loss with another condition.
What should I measure during testing?
Profit and loss alone cannot explain whether a strategy was defined or executed consistently. At minimum, record the number of qualifying setups, wins and losses, average gain and loss, drawdown, consecutive losses, time in trade, missed setups, execution costs where relevant, and which rules were followed or violated.
Setup Completeness is the proportion of required setup, risk, and execution conditions explicitly defined before entry. Rule Adherence Score is the percentage of applicable trading rules followed during a planned or completed trade. Neither measure predicts profit; both describe process quality.
Why should I use out-of-sample and forward testing?
Historical testing helps identify how rules would have behaved in recorded data. Out-of-sample testing asks whether the rules still behave similarly on data that was not used to create them. Forward testing then reveals practical problems that a chart review can miss: delayed decisions, missed setups, ambiguous rules, execution friction, and whether the process fits the trader’s available time.
Forward testing should begin in simulation or another environment consistent with the trader’s risk controls. It is a test of process and operability, not proof of future returns.
How do I make a strategy fit my trading style?
Define constraints honestly: when you can watch markets, how quickly you can make decisions, how many trades you can review carefully, and which forms of uncertainty cause you to abandon rules. The Reddit comments described very different preferences—from slower observation to high-frequency scalping—which illustrates why copying another person’s schedule and execution style can create friction.
Personal fit does not excuse vague rules. It determines which rules are realistic enough to execute repeatedly.
How long does it take to build a trading strategy?
There is no reliable universal timeline. Reddit participants reported periods ranging from months to years, but those accounts are self-reported and cannot establish what another trader should expect. Time spent is less informative than whether the process includes enough observations, clear rule definitions, representative testing, unseen data, and execution review.
Does strategy development need to be expensive?
Not necessarily. Costs depend on the market, data quality, testing method, replay software, and whether automation is required. Manual chart review and journaling can begin with low-cost tools, while accurate historical or order-level data may carry fees. Paying more does not make a hypothesis valid.
What is a practical strategy-development loop?
Use this repeatable loop:
- Observe one narrow behavior without changing several variables at once.
- Write a falsifiable hypothesis before testing.
- Define context, setup, entry, invalidation, risk, exit, and no-trade rules.
- Test every qualifying historical instance using the same rules.
- Check the rules on data not used to develop them.
- Forward-test whether the rules are executable in real time.
- Review outcomes and rule adherence separately.
- Change one assumption at a time and preserve a version history.
How can Doji Doggo support strategy building?
Doji Doggo is a trade-planning and execution-discipline tool that helps traders define their strategies, check setups against their own rules, plan trades before execution, and review rule adherence. It does not provide trading signals or market predictions.
Sources and further reading
The Reddit discussion below informed the questions and qualitative themes in this article. Individual comments are anecdotal and are not treated as verified performance claims.
Reddit discussion: For those who created their own strategy, how did you do it?
SEC Investor Bulletin: Performance Claims
Bailey et al.: The Probability of Backtest Overfitting
Wiecki et al.: All That Glitters Is Not Gold
Doji Doggo is a trade-planning and journaling tool. It does not provide investment advice, trading signals, or predictions.
Plan and review your own rules
Doji Doggo is a trade-planning and execution-discipline tool that helps traders define their strategies, check setups against their own rules, plan trades before execution, and review rule adherence. It does not provide trading signals or market predictions.
Try Doji DoggoDoji Doggo is a trade-planning and journaling tool. It does not provide investment advice, trading signals, or predictions.