Trading content often markets ordinary disciplines as hidden secrets. In practice, a repeatable process is usually more useful than a promise of a special indicator. These seven principles provide a framework for testing ideas without treating any setup as a guaranteed source of profit.
Define a testable setup
Write down the market condition, entry trigger, invalidation point and exit logic before looking for a trade. A rule should be specific enough that two people reviewing the same chart can reach a similar conclusion.
Size the position from the risk
Choose the amount you can afford to lose first, then calculate size from the distance to the stop and the instrument’s contract value. A stop does not cap losses perfectly in a gap or fast market, so leave room for slippage.
Use evidence instead of hindsight
Record trades consistently and test the rules across different market regimes. Include spreads, commissions, financing and realistic fills. A small sample or a hand-picked chart sequence can make a weak method look strong.
Protect decision quality
Avoid increasing size after a loss, chasing a move that has already gone, or changing rules mid-trade. Review execution and rule-following separately from the outcome of an individual position.
Build a repeatable plan
Before risking capital, write down the conditions that must be present, the price or event that invalidates the idea, the maximum acceptable loss and the circumstances in which you will not trade. Test the rules on historical data and a demo account, include realistic costs, and keep records across different market conditions.
Questions to ask before using this approach
- Can the setup be defined and tested without hindsight?
- Are spread, commission, financing, slippage and liquidity included?
- Does the instrument and broker support the intended order types and holding period?
- What evidence would make the original idea invalid?
Educational information only. This guide is not personal investment advice and does not promise a profitable result. Trading and leveraged products can result in losses, including losses that may exceed expectations depending on the product and local rules.
