A large news candle makes an opportunity easy to see afterward. The harder question is what you could have known, decided and executed while it was forming. A chart with the answer already drawn on it is a very accommodating teacher.

To turn an observation into a strategy, you need a process that works before the outcome is visible. That means defining the event, the setup and the execution assumptions, then checking whether the evidence supports the idea. Start by separating the broad ways traders approach news.

Three approaches

Avoidance: Choosing not to hold or initiate affected positions around a scheduled release. It reduces exposure to that event, while giving up any move you might otherwise have captured. The plan still needs clear timing and conditions for reassessing the market, because there is no universal waiting period that guarantees normal execution.

Pre-positioning: Entering before the announcement. The trade depends on a view about the information and how participants may respond, with the possibility that either differs from your expectation. Execution risk remains part of the position, and a standard stop trigger does not guarantee its fill price.

Post-release trading: Observing the response before considering a setup. You have more information, but waiting doesn't establish a confirmed direction or a safe interval. The method still needs clear rules and realistic assumptions about spreads, slippage, and available liquidity.

Five questions for evaluating the idea

Before testing, describe the proposed approach clearly enough that someone else could understand what counts as a trade. Then use these questions to identify the assumptions behind it.

A strategy must be testable, including its execution assumptions.

1. Edge: What behavior does the strategy claim to exploit?

2. Observable rules: Can you state entry, exit, risk and event conditions clearly enough to test?

3. Execution assumptions: Does the test account for spreads, slippage, latency and relevant order behavior?

4. Falsification: What evidence would show that the idea does not work?

5. Trader fit: Do the timing, workload, stress and holding period fit the person using it?

“Falsification” is the formal word for giving your idea a fair chance to be wrong. If every losing example can be dismissed with a new exception, the rules are difficult to test. Decide what would count against the proposal before reviewing the results.

Trader fit matters for a similar reason. A method that requires decisions faster than you can reliably make them has a practical problem, even if selected examples look persuasive. Include the demands of using the method in the evaluation.

Building a post-release hypothesis

A hypothesis is a testable proposal. For example, you might investigate whether a particular type of consolidation after a release provides a useful setup. Before reviewing outcomes, specify the event types, instruments and observation window so you aren't quietly changing the question as you look at the charts.

Then define the sequence:

1. Describe the initial response using consistent criteria. A strong candle is an observation, not confirmation of future direction.

2. Specify what counts as consolidation or retracement.

3. Identify the candidate level and what would invalidate it.

4. State the entry event, order type, exit rules and treatment of missed or partial fills.

5. Evaluate results after realistic costs, including difficult execution and periods when the method fails.

Keep the examples used to develop the rules separate from the data used to evaluate them. Otherwise, you risk testing how well the method describes charts you already used to design it. Clear rules make the idea testable; they do not establish profitability on their own.

Account for the spread

Spreads can widen around major releases. A setup that appears viable at an ordinary spread may have a different cost and risk profile during the event. Pending orders also need to be evaluated under the trigger and execution conditions that may apply at that time.

Use realistic assumptions for the relevant broker, instrument and order type. Include adverse fills and missed trades where appropriate. The purpose is to evaluate the strategy you could actually execute, rather than the cleaner version suggested by a finished chart.