Market screening and the trade checklist — from pair selection to clicking Buy

Screening is the initial market review that identifies instruments and situations worth examining. The trade checklist then tests whether a specific entry meets the rules already written in the plan. Together they connect observation with a decision to trade or reject an opportunity. This lesson shows how to narrow the watch universe, account for volatility, releases and relationships between positions, and evaluate a particular setup. Its 15-point checklist records evidence for each condition and permits “unknown” when information is missing. That creates a decision record you can later audit for consistent application of the plan.

1. Screening versus unstructured watchlist browsing

A watchlist without a selection process might contain 18 currency pairs plus gold, oil, the S&P 500, Bitcoin, several shares and DAX. The trader clicks through charts for 15–40 seconds apiece and repeats the tour. After an hour, the market review is a collection of impressions without a measurable output. Entries follow whichever dramatic candle suggests that something is happening, producing the scenario's four to eight daily trades across unrelated setups. These are illustrative habits, not a measured description of every watchlist user.

Screening is a systematic filter. Start with a defined universe, illustrated as 28 major and cross currency pairs combined, plus five to ten additional instruments, for 33–38 in total. Reject instruments that fail the specified conditions, applying appropriately calibrated second-layer filters to the extras as well as FX pairs. The output is a shortlist of two to five instruments on which to look for valid setups. Depending on starting and ending counts, 28–36 are excluded before detailed candle analysis.

Watchlist and screening mechanics

How an unfiltered watchlist can contribute to losses

Three behavioral mechanisms can appear across 18 unfiltered charts:

• Availability bias: recently dramatic pairs look like opportunities even after the move, encouraging late entry near an extreme. Tversky and Kahneman's 1973 work provides general background on availability^[4], not a measured FX-trader result.
• Portfolio-level FOMO: 18 charts provide many chances for one to look exciting. Entering four unrelated ideas can follow emotional salience rather than one coherent plan.
• Ad hoc confirmation: searching long enough can uncover an apparent justification on almost any chart. Without fixed criteria, the trader both advocates for and grades the idea.

Screening addresses those mechanisms by eliminating many instruments before attachment to a pattern develops, requiring explicit contextual evidence and focusing attention on two to five candidates. Your journal must establish how effective that process is for you; a small shortlist is not proof that its opportunities are profitable.

2. Top-down screening: macro → pair → setup

Top-down specifies the order of review. Starting with an attractive pattern can leave the trader searching afterward for a macro justification. The three layers below first establish permitted context, then instrument eligibility, then the actual setup. Context is not a deterministic price forecast, and its role as a hard condition or auxiliary ranking criterion must match the written checklist.

Layer 1: macro regime — illustrative five to eight minutes for the market

Before focusing on one pair, review the broader environment through six to eight indicators:

• DXY, the Dollar Index: USD against its six-currency basket. This example's illustrative intraday change above +0.3% flags stronger USD and less favorable context for EUR/USD or GBP/USD longs; below −0.3% flags weaker USD and less favorable context for shorts. Specify the session reference for the change; this is not an automatic trading signal.
• VIX, S&P 500 implied volatility: a risk-on/risk-off proxy. This working classification uses below 18 for risk-on, 18–25 for neutral/cautious and above 25 for risk-off. AUD, NZD and emerging-market currencies may respond differently from safe-haven JPY, CHF and USD, but relationships are conditional, not guaranteed.
• US, German and Japanese ten-year yields: relative yield changes can influence currency pairs. Rising US yields with stable German yields may support USD versus EUR; inspect the reason for the move rather than assuming one fixed response.
• S&P 500 futures before the cash open: an indication of equity sentiment and anticipated opening conditions.
• Gold, XAU/USD: a rise can accompany USD weakness or risk aversion; distinguish those possible explanations using the other evidence.
• WTI/Brent oil: relevant context for CAD, NOK and MXN. A strong rise can support a CAD-long thesis in some regimes, not an unconditional rule.
• Bitcoin/crypto, optional: an additional sentiment proxy outside cash-equity hours, with its own market-specific drivers.
• News services: this example lists Reuters, Bloomberg and Forexlive as examples. Check for current events capable of disrupting ordinary relationships; names are retained as examples, not verified service recommendations.

Produce one brief statement, for example “risk-on, weak USD, positive equities”, “risk-off, strong USD and JPY”, or “mixed/neutral: selective candidates or no exposure”. Record contradictory or unavailable evidence rather than forcing agreement. Complete this context record before moving to pair selection.

Layer 2: instrument selection — illustrative three to five minutes

Apply the next checks to the defined universe of 28 FX pairs and additional instruments. The numbers are illustrative thresholds, not market standards. Section 3 explains calibration; retain the hierarchy of hard and auxiliary criteria rather than turning every macro observation into a veto.

• Completed-day ATR(14) at least 0.9 times its 90-observation average: a minimum-volatility eligibility hypothesis. Passing does not itself prove that the setup's move will exceed costs.
• Completed-day ADX(14) at least 25 for trend or below 20 for range: match the instrument's measured regime to the strategy card.
• Calendar review over ±2 hours on both currencies: the mandatory exclusion in hard checklist item 11. No high-impact event may fall within two hours before or after the decision time for either currency. Shorter subwindows in section 4 do not override it.
• Absolute correlation below 0.7 with open positions: apply the declared return-series timeframe, lookback and account-exposure review. Position direction and shared events remain relevant.

This example's illustrative funnel reduces 33–38 instruments to three to eight technically eligible candidates and then two to five contextually preferred ones. Strong USD can deprioritize EUR/USD and GBP/USD longs because their quote direction opposes that context. Under the final checklist, however, a macro-regime conflict is an auxiliary downgrade, not a hard veto by itself; remove the idea only under the applicable full class rule or an explicitly stricter playbook. The resulting shortlist goes to Layer 3.

Layer 3: setup — one to three minutes per shortlisted pair

Now inspect the two to five shortlisted charts on D1/H4/H1 for an existing playbook setup. If one is present, proceed to Section 6's pre-trade checklist. Otherwise set the appropriate price alerts and keep the instrument under passive observation rather than manufacturing an entry.

The illustrative final output is zero to three potentially executable setups. Total scan time is 10–28 minutes: five to eight for macro, three to five for selection and one to three per shortlisted pair. Minimum 5 + 3 + 2 × 1 = 10; maximum 8 + 5 + 5 × 3 = 28. This example schedules this before London trading, with an optional second review before New York; convert those activity windows to your own available hours.

Why not start from the pattern?

Bottom-up review starts with an attractive formation and checks macro context afterward. It can encourage retrospective rationalization: once attached to the setup, the trader explains away opposing evidence as a special case or already priced in. The problem is that reasoning order, not a claim that every bottom-up method must lose.

Top-down first defines which setup contexts fit today's plan, then looks for those setups. Apply the recorded criteria consistently: a mandatory conflict rejects the trade; an auxiliary macro conflict affects its class as Section 6 specifies. Do not change that distinction to justify a preferred chart.

3. Mechanical filters: ATR, ADX, VIX, correlations and time of day

A mechanical filter is a condition that can be coded and checked consistently, rather than “looks good” or “interesting market”. Specify the value, threshold, data source and YES/NO decision, with unknown recorded when evidence is missing. The five categories below cover common screening needs; their numeric settings remain hypotheses to validate.

ATR: is the available movement sufficient for the setup?

Average True Range, ATR measures average true range in price units, converted to pips for these FX examples. Low volatility, illustrated by quiet EUR/CHF periods, can leave limited movement relative to costs. The working thresholds are illustrative, not market standards:

• Completed-day ATR(14) ≥0.9 times the mean of the 90 earlier completed-day ATR(14) observations, excluding the observation being compared: the example's minimum activity filter.
• ATR ratio above 1.5: elevated volatility; consider only the plan's calibrated stop-distance and reduced-volume variant within the risk budget. Do not widen a live stop ad hoc.
• ATR ratio above 2.0: the example excludes standard setups because conditions may be outside their model. The ratio is a stress signal, not proof of a particular shock.

In TradingView or your analysis tool, calculate ATR(14) on D1 and then the simple average of the 90 earlier completed values in that ATR(14) series, excluding the comparison value, or export the values to a spreadsheet. ATR with its own parameter set to 90 is a different quantity: a longer-smoothed true-range calculation, not the average of 90 ATR(14) observations. Substituting it silently changes the filter. Use completed-bar values consistently as described below.

ADX: trend strength versus a ranging regime

Average Directional Index, ADX measures trend strength rather than direction. This article's working bands are:

• Below 20: a consolidation candidate; the example's trend strategy is excluded and its range strategy may qualify. This does not prove mean reversion will be profitable.
• At least 20 but below 25: ambiguous; skip under this filter. Exact 25 belongs to the trend-eligible band.
• 25–40: stronger measured trend; eligible for the tested trend strategy if its other conditions pass.
• Above 40: strong measured trend. Review extension and reversal risk; ADX alone does not identify a late phase or predict a correction.

Use D1 ADX to classify daily trend strength and H1 for the intraday condition; direction comes from the defined price/structure or directional-indicator rule, not ADX itself. D1 ADX 28 with H1 ADX 12 describes a stronger daily regime alongside intraday consolidation. The example waits for the appropriate breakout in the separately established daily direction.

VIX: a broad risk-context indicator

VIX reflects the S&P 500's option-implied volatility over a 30-day horizon; Cboe publishes its methodology^[5]. It is an equity-based proxy that can inform FX sentiment, not a direct FX-volatility or entry measure. Combine it with DXY, equity futures, yields and JPY/CHF behavior:

This example's review trigger is a VIX increase above 30% in one session, for example 14 to 19, a rise of about 35.7%. Reassess existing candidate context. Under the 15-point checklist, VIX affects the auxiliary macro-regime item; it is not silently promoted into a mandatory veto.

Portfolio-correlation filter

Long EUR/USD and long GBP/USD can concentrate a common short-USD exposure. Correlation does not reduce the sum of stop-loss budgets. Two positions each risking one percent can both lose two percent in total before gaps/slippage, even if a volatility formula gives a smaller number. Positive loss dependence can increase the chance of simultaneous losses. For two components with equal standard deviation, √(2 + 2ρ) describes the standard deviation of their sum in units of one component's standard deviation: 1.84 at ρ = 0.7 and 1.87 at 0.75. It is not a stop-loss cash amount. The following second-position rules are illustrative:

• |ρ| below 0.4: weak linear association in the declared historical window. That does not establish independence, capture nonlinear/tail dependence or account for the directions and shared-event exposure of your positions.
• 0.4 ≤ |ρ| < 0.7: the example reduces second-position size by 25–40%. This is the only stated band where a size reduction is the admission rule; it does not bypass the next hard threshold.
• |ρ| ≥0.7: mandatory checklist item 10 fails: NO → SKIP. Half-size is not an exception. A smaller order does not make the required correlation condition true.

Use a provider's documented matrix or calculate correlations from aligned return series, for example with spreadsheet CORREL. Record return frequency, lookback, timestamps and data source together with the coefficient. “Correlation 0.73” without those definitions is not reproducible. The absolute-correlation screen is deliberately conservative; separately inspect position direction and common currency exposure.

Time-of-day filter: active trading windows

Liquidity and execution vary by instrument and session. The example proposes the following Polish-local-time strategy windows; they are not proof of universally best returns or exact exchange-session hours:

This example's time note is dated 6 September 2026. Europe/Warsaw changes between CET and CEST; Japan does not change clocks, and US–EU transition dates differ for several spring weeks and roughly one autumn week. Australian/New Zealand transitions introduce their own offsets. Convert actual dated sessions/releases rather than treating PL times as fixed UTC values. 15.5 provides the full session/fixing context; here the table serves as a strategy time filter.

If a setup appears outside its permitted window, skip or wait for a valid new trigger inside it. Quiet periods can carry wider spreads and worse slippage, but measure the magnitude from your broker's tick/execution data. No public retail-account sample that establishes a universal difference.

Validating the ATR threshold instead of copying it

The 0.9 ratio is a starting hypothesis, not a market law. Evaluate it in your own records:

• Export closed trades of the same setup/version. More relevant observations can improve precision, but count alone establishes nothing and dependence reduces effective information.
• Attach the completed-D1 ATR(14) value actually available at entry and its ratio to the matching 90-observation mean, not the later completed value of the entry day.
• Calculate expectancy in R for non-overlapping bands: below 0.8; 0.8 to below 0.9; 0.9 through 1.5; above 1.5.
• State n and an appropriate interval for each mean. E ±1.96×std(R)/√n is an approximation for suitable independent observations; sparse or dependent groups need a suitable alternative. Four bins create smaller samples. Overlap between separate intervals is neither a test of their difference nor evidence of equivalence.
• Consider adopting0.9 only after a predeclared comparison estimates the net-result difference between below-0.9 and0.9–1.5 conditions with appropriate uncertainty, and genuinely held-out data confirms the proposed filter. Separate intervals need not be non-overlapping for a valid difference analysis. Account for the number of variants tried. Selecting and confirming on the same data fits noise; see15.4.

Without that work, the 0.9 rule remains someone else's hypothesis in your process. It may or may not help your setup.

Filter audit: one row before a rule enters the checklist

A checklist rule needs a concise operational definition. The last column records what a discretionary exception can expose the account to, rather than assuming a favorable outcome will justify it.

4. Calendar filters: NFP, FOMC, ECB, BoE and BoJ — what disqualifies a setup

Alongside an unsuitable market regime, an unchecked economic calendar can invalidate an otherwise well-selected setup. You enter a technically attractive pattern: ATR and ADX pass, correlations are acceptable — then CPI is released at 14:30 Polish time, an event you never checked. The stop is hit within 90 seconds. In this example, the loss arose from an omitted calendar check, not from following the strategy. The ranking of calendar risk as the “second most common” cause is an editorial observation, not a measured retail-trading statistic.

High-impact releases to include in the filter

Clock times above retain this article's reference zone, Europe/Warsaw (CET/CEST); they are not UTC or your broker's server time. Convert the specific date to your location, including weeks when US and European daylight-saving changes differ. This article records verification of the Fed's projection meetings and Australian CPI frequency with the Federal Reserve and Australian Bureau of Statistics as of 7 September 2026; that is the example's dated verification, not a fresh verification performed for this translation. Check the actual year's BLS, Fed, ECB and other publishers' calendars for weekdays and exact dates. Schedules can change; an old table is not the operational calendar.

The calendar window: when not to enter

One governing rule applies to hard checklist item 11: no high-impact release within two hours before or after the current time, for either currency in the pair. The subwindows below explain what can happen inside that closed window; they are not exceptions to it. These are example policy thresholds, not an industry standard; assess them against your own spread records:

• The 30 minutes before the release: no new positions on directly affected pairs. Spreads may widen and liquidity may decline.
• The release and the first 15 minutes afterwards: a potentially disorderly period, with widened spreads, unusually large slippage and false breakouts. This example provides no public retail-account slippage sample with which to quantify the claimed multiple of normal slippage. Do not enter.
• Between 15 and 60 minutes after the release: direction is still developing, spreads normalize unevenly and early breakouts can reverse. This describes market behavior; it does not permit entry. Item 11's two-hour post-release exclusion remains active even if the spread has stabilized. A new entry is possible only after that window ends and the normal checklist passes.

A dedicated news-trading strategy, such as fading the initial NFP move, belongs to a separate playbook category with its own position-sizing and stop rules. It requires its own admission card; it is not a discretionary override of this checklist's calendar veto.

The currency hierarchy in the calendar

A US CPI release affects all USD pairs — EUR/USD, GBP/USD, USD/JPY, USD/CAD, AUD/USD, NZD/USD and USD/CHF — and can spill over indirectly into crosses such as EUR/JPY and GBP/JPY through broader risk sentiment and related currency moves. Those crosses do not literally contain USD or a DXY component. The operational rule is one release can block many pairs. Check both component currencies, together with any indirect event exposure specified in your playbook; checking only the currency that features in your trade narrative is insufficient.

The weekly rhythm: where the work belongs

Reviewing the whole week's calendar on Sunday and planning work windows belong to the workflow, covered in 15.5, section 2. Screening an individual opportunity uses the output of that review: a list of off-limits times for the coming days, which supplies checklist item 11.

5. Multi-timeframe context: D1 / H4 / H1 / M15

The multi-timeframe (MTF) rule in this playbook is that an M15 setup must align with the H1 bias, H1 structure with H4 structure, and H4 structure with the D1 bias. Setups that oppose a higher timeframe are often described as weaker, but the size of that difference has not been established in a public retail-trading sample. It depends on the strategy, instrument and period. Without out-of-sample validation, an observed anomaly can easily be mistaken for a market law. MTF is useful here as a coherent screening rule connecting directional bias, current structure and entry precision; calling it one of the “strongest” filters does not establish measured superiority.

The timeframe hierarchy: what each level provides

Alignment: when timeframes disagree

Four typical situations:

• Full alignment: D1 ↑, H4 ↑, H1 ↑, M15 ↑ long trigger. An A+ configuration according to the playbook card, provided all other required conditions pass. The claim that it has the highest win rate remains a journal hypothesis to test.
• Minor conflict: D1 ↑, H4 ↑, H1 → consolidation, M15 ↑ long trigger out of consolidation. An A/B candidate according to the card. Entry may become eligible after confirmation from an H1 candle that has closed in agreement with the trigger; pending confirmation is not a completed condition.
• Moderate conflict: D1 ↑, H4 ↓ retest, H1 ↑, M15 ↑ long trigger. A B/C description in the card, with possible false-breakout risk. D1 and H4 context are auxiliary items 4 and 5 below, not standalone hard alignment vetoes. The actual card still determines whether this is an eligible B or an ineligible C, and a countertrend setup needs its own card.
• Major conflict: D1 ↑, H4 ↓, H1 ↓, M15 ↑ long trigger. Skip under this trend-following card. Treat it as a possible countertrend rebound, not an A+ setup.

An MTF workflow in 90 seconds per pair

1. D1 — 15 seconds: up, down or neutral bias? SMA-50 above or below SMA-200? ADX above 25? Where is price relative to the latest key levels?
2. H4 — 20 seconds: higher highs and higher lows for an uptrend, or lower highs and lower lows for a downtrend? Where is the latest extreme? Is price closer to resistance or support?
3. H1 — 25 seconds: is a setup developing? Consolidation before a breakout, a level retest or a divergence?
4. M15 — 20 seconds: is a potential trigger candle forming? What exactly is the stop level? What does tick volume show? A forming candle is only a candidate if the card requires a completed candle.
5. Decision — 10 seconds: if the required levels align, move to the pre-trade checklist. If they conflict, skip or set an alert at the level that would resolve the conflict.

The “higher timeframe wins” rule

Use a predetermined priority rule when signals conflict: the H4 candle takes precedence over M15, and the D1 trend over H1 consolidation. This is a process rule, not a market law. The explanation that “more capital trades on higher timeframes” is a microstructure hypothesis, not a demonstrated mechanism here. Its operational value is that a rule set before the session removes negotiation with yourself precisely when you most want to enter.

In practice, an M15 long trigger while H4 remains in a clear downtrend is treated as a countertrend rebound, not proof of a trend change. Trading it is allowed only if countertrend trading is a separate setup with its own playbook card, required conditions, invalidation and position sizing. Without that card, the answer is NO; halving the volume does not make the original setup valid. Class definitions and sizing by class are covered in 15.2, section 2.

6. The 15-point pre-trade checklist: from screening to clicking Buy

After top-down screening and identification of an MTF candidate, run the pre-trade checklist. It contains fifteen criteria in five blocks and takes approximately 60–90 seconds to complete. Every criterion has three possible results — YES, NO and unknown — each with a consequence written down in advance.

How to read the columns

• Evidence available now: something concrete you can inspect at the decision time, such as a displayed number, a setup-card entry, a calendar event or the order ticket. Without that evidence, the criterion has not passed; it is unknown.
• Hard / auxiliary: a hard criterion is necessary for entry, regardless of the other answers. An auxiliary criterion ranks candidates and determines the setup class. See 15.2, section 2 for class definitions and sizing.
• Result: YES / NO / unknown. Unknown honestly means “I do not have the data”: the calendar is unavailable, the spread is invisible or the setup-card version is missing. For a hard criterion, unknown has the same blocking effect as NO.
• Consequence: what you do with that result. Write it before the session so it is not open to negotiation during the trade decision.

Governing rule: auxiliary criteria cannot compensate for a failed hard criterion. All three auxiliary answers being YES cannot turn one hard NO into an admissible entry. A smaller position does not make an unmet necessary condition true. That is the difference between this checklist and an additive score.

Four decisions, not two

The checklist produces one of four decisions, each with its own journal entry:

• Qualify: every hard criterion is YES, and auxiliary criteria determine an eligible class. Enter according to that card.
• Reject: a hard criterion is NO. Record the item number and the specific value that determined the rejection.
• Wait: the condition may become satisfied at a predictable time: the candle has not closed, or the release exclusion expires in 40 minutes. Set an alert and restart the checklist at item 1 when it fires, rather than resuming at the interrupted item.
• No data: a hard criterion is unknown because the calendar, spread or card version is unavailable. Entry remains blocked, but record the different cause. Repeated “no data” decisions reveal a workstation or process fault rather than a market condition.

Do not rewrite the reason after seeing the outcome. Record the skip reason at the decision time, including the decisive value: for example, “item 10 = NO; |ρ| 0.73 with the open EUR/USD short; 30 daily-session window.” What price subsequently does cannot justify changing that entry, even if the skipped setup would have won.

The hard-veto rule

A hard NO or unknown means no entry: no discretionary exception, no argument that one item matters less, and no promise to obey it next time. Otherwise the checklist becomes a ritual of ticking fourteen boxes and entering because the setup looks good. Assess its actual effect in the journal: distinguish trades with complete checklist records, trades entered with a NO, and skipped setups with a consistently calculated hypothetical outcome. Estimate expectancy for each group with an uncertainty interval. Sample count alone does not settle the question; the interval's width relative to the decision threshold matters. See 15.9, section 4. The journal marker “15/15” denotes completion of all fifteen answers, not an additive admission score. Keep hard/auxiliary results and the class separately, so a completed record with an auxiliary NO is not mistaken for fifteen YES answers.

Two similar setups: one passes, the other fails a single item

The instrument, chart pattern and provisional class are the same. One hard criterion changes the decision. Illustrative example, not historical performance: prices and indicator values are synthetic, and each reason is recorded at the decision time.

Notice what is absent: what price did afterwards. The decision ends with the recorded reason. A subsequent winner would not change setup 2's entry because this evaluates the process, not one random outcome. Conversely, one successfully avoided loss does not prove the filter works. Assess a series of skipped setups with hypothetical outcomes against admitted trades, using intervals rather than averages alone.

7. Quick setup-class validation and a complete trade example

During a session, you may have 30–90 seconds to decide whether a developing opportunity is A+, B or C. The playbook card defines the classes, required conditions and sizing — 15.2, section 2. Here you apply that existing definition to one opportunity. Provisional classification comes before the full checklist so you do not spend time on fifteen criteria for an ineligible C setup. This first decision is simply “start the pre-trade check” or “move on.”

Rapid recognition: the first filter

A practical recognition rule is that if identifying the class takes much longer than a few seconds, do not assume it is A+. A familiar A+ pattern can be recognized in three to five seconds because its definition was written before the session. Spending half a minute fitting pieces together and persuading yourself may indicate a B candidate awaiting higher-timeframe confirmation, or a C candidate to ignore. Recognition speed is a workflow heuristic, not evidence of positive expectancy. Fast recognition does not replace the full fifteen-point validation that follows.

Where the class comes from

The playbook card owns necessary conditions, quality criteria and sizing by class. Screening supplies MTF alignment, macro regime, ATR, correlation with open positions and the time window; it does not invent class thresholds or risk percentages. Resolve conflicting document thresholds against the declared card before the session and record which version applies. Do not choose the looser document during entry. The worked checklist here uses its stated ±2-hour calendar rule. Full class and sizing definitions are in 15.2, section 2; promotion, demotion and retirement decisions belong to the audit in 15.10, section 4.

The quick-validation algorithm

1. First five seconds: do I recognize a setup from the playbook? YES → step 2. NO → SKIP.
2. Next ten seconds: inspect MTF alignment. The example recognition shorthand is full alignment → provisional A+, one neutral timeframe → B, and material conflict → C. Apply the actual card's class rules, including its distinction between auxiliary context and necessary setup conditions.
3. Next fifteen seconds: assess potential risk:reward, ATR and macro context. A potential 1:1 risk:reward, for example, fails this card's 1:1.5 minimum and makes the candidate ineligible regardless of the other positives.
4. Class decision: eligible A+ or B candidates proceed to the fifteen-point checklist. C → SKIP and record “class C setup, skipped.”

The example timing is 30 seconds for classification, 60–90 seconds for the checklist and five seconds for order submission: 95–125 seconds, or approximately 1.6–2.1 minutes from trigger assessment to entry. Whether the setup remains valid that long depends on the instrument, time and execution provider. Test this against your own tick records. If it has already expired, inspect spread relative to stop distance, price movement and the liquidity window rather than automatically blaming a slow checklist. Never chase an entry whose original risk and reward no longer apply.

The B/C boundary: downgrade when uncertain

A clearly defined A+ versus B or B versus C distinction is straightforward; the difficult case is a “strong B” against a “weak C.” Use the working rule when uncertain, classify down rather than up. It counters the temptation to promote a setup because you want to enter. B versus C uncertainty means C → SKIP. A versus B uncertainty means B, with the B-class size taken from the playbook card in 15.2, section 2, not invented here.

Qualification: an extremely restrictive classification can leave too little data to evaluate. There is no universal adequate trade count: dispersion, setup frequency and the number of tested variants all matter. A large-sample approximate 95% interval for mean expectancy is E ± 1.96 × std(R)/√n, assuming sufficiently independent observations and a suitable approximation; clustered trades and shared events require a method that accounts for dependence. It estimates uncertainty around the process mean represented by the sample, not a prediction interval for the next trades or a guarantee the regime will persist. If the interval crosses the decision threshold, defer a class change until a later audit rather than acting because “thirty trades have accumulated.” A few trades per quarter may leave the question unresolved. Methods are in 15.4, section 6; the class-change decision belongs to 15.10, section 4.

A class is not an outcome: what to measure afterwards

Classification states a hypothesis: “this setup in this class has positive expectancy.” Test it using journaled R-multiples, not win rate alone. A 60% win rate with average wins of +0.6R and average losses of −1.5R gives 0.6 × 0.6 − 0.4 × 1.5 = −0.24R per trade despite the attractive win rate.^[1] Expectancy, profit factor, the R distribution and uncertainty intervals are covered in 15.9, section 4. Screening contributes two fields that an execution import cannot reconstruct: the class assigned before entry and the contemporaneous reason for skipping opportunities that were never traded.

What screening cannot calculate: MAE and MFE

MAE and MFE describe the greatest adverse and favorable excursions while a position is open, expressed in R. They help investigate whether a stop is too tight or a target too close; definitions, a scatter plot and diagnostic guidance are in 15.9, section 7. If winners repeatedly approach a full 1R adverse excursion, investigate whether the volatility filter and stop-distance rule are mismatched. That observation alone does not establish whether an ATR threshold should rise or fall; compare the actual conditional data and test a proposed change. Specify the measurement model: entry fill to exit fill, one full exit, unchanged stop and target, executable price side and a stated cost convention. Under that model, a fill at the original stop gives about 1R adverse excursion, and worse slippage can exceed it. An exact target fill gives the target-distance MFE only if the observed path and execution agree with those assumptions. Favorable or adverse slippage, partial exits, a moved target, quote-versus-fill measurements or including prices after exit can change the relationship. Record the convention once and apply it consistently; otherwise the numbers are not comparable.

A complete trade: from screening to the journal

This composite teaching example follows one EUR/USD A+ setup from the morning scan to the post-exit journal. Illustrative example, not historical performance: prices, times and amounts are synthetic. This example uses a USD5,000 account, EUR/USD pip value of USD 10 per standard lot and a1% reference-price risk budget. The USD50 model excludes additional adverse-stop execution costs; a true all-in cap requires executable price-side inputs, a cost reserve and valid volume-step rounding. The account and pip-value currencies must agree throughout the calculation. Times remain in Europe/Warsaw and must be converted for another location.

The scenario assigns approximately twenty minutes of active screening, checking and monitoring, distributed across the 6 hours 50 minutes from the 08:00 scan to the 14:50 exit. Its counterfactual trader would have entered four other moving pairs, two against the macro regime, without screening; without the checklist, the trader would have skipped calendar and ticket checks. These are parts of the synthetic story, not measured causal effects. Without journaled MAE/MFE and a series of comparable trades, the trader cannot investigate whether a 1R stop fits the setup. That assessment needs uncertainty estimates, not an arbitrary round number of entries.

The same sequence — three screening layers, checklist and recorded reason — can serve different trading styles. Window lengths, timeframes and scan frequency change. Scalping, day-trading, swing and position-trading workflows, and choosing a style that fits available time, are covered in 15.5, section 8.

8. Common screening mistakes

Mistake 1: no defined universe

The trader watches “whatever is moving”: GBP/JPY yesterday, AUD/CAD today, NZD/CHF next time. Without a stable observation universe, daily comparisons mix different instrument populations, and behavioral patterns disappear into selection noise. Define the universe and stay within it. Its size is a process choice based on style and available scanning time, not a universal standard. Ignore instruments outside it even when their charts look attractive.

Mistake 2: subjective thresholds instead of YES / NO

“The pair has good volatility” replaces “D1 ATR(14) ≥0.9× the mean of ninety earlier completed observations of that ATR series, excluding the compared observation.” “ADX looks strong” replaces “D1 ADX(14) ≥25.” Subjective judgments drift with mood; predetermined thresholds make the same input receive the same decision. Every filter needs an unambiguous numerical or qualitative binary rule. Without an operational YES / NO criterion, the filter is undefined. Missing evidence is recorded as unknown, not guessed into a YES.

Mistake 3: skipping the calendar

“The release is three hours away; I will be out by then.” That is an unverified exit assumption, and the position may remain open because you keep giving it more time. This checklist's entry veto is precise: a high-impact event within ±2 hours means no entry. An event three hours ahead does not itself fall inside that veto, but the card still needs a plan for managing exposure into it. Calendar planning precedes the trade; it is not improvised after entry.

Mistake 4: an unrevised watchlist

A watchlist created years ago can outlive the reasons for selecting its instruments. Currency behavior can change, as EUR/CHF did after the exchange-rate floor was abandoned, or as emerging-market currencies can after monetary-regime changes. Review the watchlist quarterly. Every three months ask whether each pair still meets the conditions that justified its inclusion.

Mistake 5: technical screening without macro context

The trader checks ATR, ADX and structure but ignores DXY, VIX and yields. A technically attractive setup may behave differently in an opposing macro environment, but any claimed win-rate disadvantage must be measured in the journal rather than copied from a guide. Macro context belongs to layer 1 of this process. Its auxiliary status in the checklist remains explicit; an unsupported performance claim cannot turn it into a new hard veto.

Mistake 6: treating the checklist as a ritual

The trader ticks fourteen of fifteen boxes and enters despite a NO because the chart looks good. Section 6's rule is unchanged: any hard NO or unknown means SKIP. An auxiliary NO affects the class and cannot compensate for a hard failure. Analyze fully completed records, records with a failed item and its reason, and skipped setups with hypothetical outcomes separately; keep hard and auxiliary failures distinct rather than treating “14/15” as one homogeneous score. An interval for the expectancy difference that excludes zero can support evidence of a difference under the analysis assumptions, but sample size alone cannot, and observational grouping does not establish causation. Without that measurement, “the checklist works” expresses confidence in the procedure rather than demonstrated performance.

Mistake 7: excessive screening detail

A new fear produces a new filter until there are forty-seven. The result can be zero or one setup a week, insufficient data, frustration and rule-breaking. This example's working suggestion is five to eight market-selection filters for a manageable process; this is a heuristic, not measured universal sufficiency, and it does not replace the fifteen operational checklist items. Require each additional filter to demonstrate incremental net benefit in testing, including held-out data and the cost of trying many variants. Remove unjustified complexity through the review process.

Mistake 8: screening after entry

The trader opens the platform, sees an interesting move, enters and then checks the filters. That is retrospective rationalization. Apply the market filters before committing to a setup: scan, eliminate ineligible instruments, then inspect the shortlisted candidates' trigger candles.

Mistake 9: no price alerts

Watching charts for eight hours because “I have to be ready” can produce fatigue, poor decisions and FOMO. After screening, set price alerts in the chosen platform — this example gives TradingView and MT4 as examples — at levels where a setup may become active. Return for candidate assessment when an alert fires, while maintaining any separately required monitoring of existing exposure. An alert reduces idle watching; it is not automatic entry permission.

Mistake 10: mixing screening with the post-mortem

Reviewing a losing trade to identify what went wrong is a post-mortem, covered by the end-of-day process in 15.5, section 5. It is not tomorrow's screening. Mixing the two can make the next scan an attempt to repair yesterday's result by selecting the same failed idea. Schedule screening and the post-mortem as separate activities.

Mistake 11: not recording what you skipped

A journal full of entries but empty of rejected opportunities measures only what already appears on the broker statement. Without skip_reason, you cannot investigate whether filters rejected losses or excluded winners. Every candidate that reaches the checklist but does not become an order needs an entry with the decisive criterion number and value. The journal field scheme is in 15.9, section 2.

Mistake 12: adding filters after every losing streak

First ADX, then RSI, then a Monday ban, then no entries after 15:00. After a quarter, the rules barely resemble the original, trades have fallen to a few per month and every new filter was selected to explain the streak that prompted it. That fits noise rather than calibrating a stable process. Adding a filter creates a new version whose results must be tracked separately. Whether it stays is decided in the audit — 15.10, section 4 — not on the day of a loss. The testing problems introduced by extra variables are explained in 15.4, sections 2 and 3.

Mistake 13: confusing execution failure with strategy failure

After a losing streak, first ask whether the data and execution are reliable: do trades reconcile to the execution provider's report, are costs represented consistently in net R against the declared R0 convention, and how many trades departed from the plan? Then examine the regime, and only afterwards the edge. Do not retroactively redefine R0 to hide costs or enlarge past risk. That decision order is covered in 15.10, section 8. Screening supplies one answer: did the setup satisfy the admission rules at the moment of the click?

9. Copyable templates: a laminated checklist card

Below are two practical templates and a threshold reference card. The first is the pre-trade checklist for an A6 card beside the keyboard — 105 ×148 mm, approximately 4.1 ×5.8 inches; use a larger readable printout if needed. The second is a morning top-down screening form for the journal. The threshold card is a memory aid, not a substitute for the versioned setup card.

Template 1: the laminated fifteen-point pre-trade checklist

==============================================
  PRE-TRADE CHECKLIST — 15 CRITERIA
  Result: YES / NO / UNKNOWN
  [H] hard — NO or UNKNOWN = SKIP
  [A] auxiliary — determines setup class
==============================================

A · SETUP
[H]  1. Playbook setup + card version?          [ ]YES [ ]NO [ ]?
[H]  2. Trigger on a CLOSED candle?             [ ]YES [ ]NO [ ]?
[H]  3. Live feed, complete required history?   [ ]YES [ ]NO [ ]?
        Indicator inputs from completed candles

B · CONTEXT
[A]  4. D1 bias aligns with direction?          [ ]YES [ ]NO [ ]?
[A]  5. H4 structure aligns?                    [ ]YES [ ]NO [ ]?
[A]  6. Macro regime supports direction?        [ ]YES [ ]NO [ ]?

C · SIZING AND EXIT
[H]  7. Volume calculated using the calculator? [ ]YES [ ]NO [ ]?
[H]  8. Invalidation recorded; R:R ≥ 1:1.5?     [ ]YES [ ]NO [ ]?
[H]  9. Total risk within the plan's limits?    [ ]YES [ ]NO [ ]?

D · CORRELATION, CALENDAR AND WINDOW
[H] 10. |ρ| with open positions < 0.7?          [ ]YES [ ]NO [ ]?
        Measurement window: __________________
[H] 11. Calendar clear ±2h for BOTH currencies? [ ]YES [ ]NO [ ]?
[H] 12. Active window and normal spread?        [ ]YES [ ]NO [ ]?

E · OPERATOR STATE AND ORDER TICKET
[H] 13. All five behavioral checks YES?         [ ]YES [ ]NO [ ]?
        Sleep ≥6h / no alcohol in previous 12h
        DD48h > −2R / daily loss limit not reached
        No sequence of three consecutive losses
[H] 14. SL and TP in ticket before submission?  [ ]YES [ ]NO [ ]?
        Prior server-side verification on card
        Server acknowledgement = AFTER submission
[H] 15. Ticket checked field by field?          [ ]YES [ ]NO [ ]?
        Symbol / live-demo account / direction
        Volume in platform units
        Order type / supported time in force
        GTC-day-date where applicable
        SL and TP on the correct side of price

==============================================
DECISION: [ ] QUALIFY       [ ] REJECT
          [ ] WAIT (alert)  [ ] NO DATA

Hard NO or UNKNOWN = SKIP.
Auxiliary YES cannot offset a hard failure.
Smaller volume does not turn NO into YES.

Record the reason NOW, before the later move:
skip_reason: __________________________________
==============================================

Template 2: morning top-down screening for the journal

DATE: ____________   SCAN TIME / ZONE: ____________
FILTER-SET VERSION: __________
(A filter change creates a new version.)

LAYER 1 — MACRO REGIME (5–8 minutes)
DXY: ___________ (direction / intraday change)
VIX: ___________ (level and change)
US10Y: __________ DE10Y: __________
S&P futures: ___________
Gold: ___________  Oil: ___________
News wire — relevant news today:
  · ___________________________________
  · ___________________________________

DAILY CONTEXT — ONE SENTENCE:
___________________________________________
___________________________________________

LAYER 2 — PAIR SELECTION (3–5 minutes)
Pairs remaining after ATR ≥0.9×, ADX,
calendar and correlation checks:
  1. ____________  Reason: __________________
  2. ____________  Reason: __________________
  3. ____________  Reason: __________________
  4. ____________  Reason: __________________
  5. ____________  Reason: __________________

LAYER 3 — SETUPS (1–3 minutes per pair)
A+ setup: ____________________________________
B setup:  ____________________________________
C setup (skip): ______________________________

DAILY PLAN:
  · Active sessions: ________________________
  · Calendar exclusions: ___________________
  · Maximum trades: ________________________
  · Maximum portfolio risk: _________________

What these templates omit: the weekly plan

The Sunday review of upcoming releases and allocation of work windows belong to the workflow. Its template is in 15.5, section 2. The pre-trade checklist uses one output from it: the upcoming off-limits times that feed item 11.

Quick-reference card: numerical thresholds

==============================================
  MECHANICAL THRESHOLDS — WORKING CARD
  EXAMPLE THRESHOLDS, NOT INDUSTRY STANDARDS
  Validate on your own data: section 3.
==============================================

ATR
  · ≥0.9× the mean of the 90 earlier completed daily ATR(14) values, excluding the comparison value: minimum
  · >1.5×: elevated volatility; card-based size reduction
  · >2.0×: extreme; skip under the ordinary card

ADX
  · <20: range; eligible mean-reversion card only
  · 20 ≤ ADX <25: ambiguous; skip
  · 25–40: trend; trend-following candidate
  · >40: strong trend; assess late-entry risk

VIX — AUXILIARY MACRO CONTEXT
  · <18: low-volatility / possible risk-on context
  · 18–25: intermediate context
  · >25: possible risk-off; review planned exposure
  · >35: this selected card blocks new positions
  · Not a standalone hard veto in this checklist.
    A stricter policy needs its own declared card.

CORRELATION — ABSOLUTE |ρ| WITH OPEN EXPOSURE
Always record the calculation window.
  · <0.4: weak association, not independence
  · 0.4 ≤ |ρ| <0.7: reduce second-position size 25–40%
  · ≥0.7: item 10 = NO → SKIP
    Half size is not an exception to the veto.

CALENDAR — GOVERNING ITEM 11
  · No high-impact release within ±2h, BOTH currencies.
  · 30 min before: no new positions.
  · 0–15 min after: no entry; possible high slippage.
  · 15–60 min after: still NO ENTRY, even if spread
    stabilizes; all these subwindows are inside ±2h.
  · Recheck the complete card after exclusion expires.

MINIMUM RISK:REWARD — EXAMPLE CARD
  · A+: ≥1:2, plus all other class conditions
  · B:  ≥1:1.5, plus all other class conditions
  · Below 1:1.5: ineligible C → SKIP
  · A ratio alone does not determine the class.

VALIDATION TIME — WORKFLOW TARGET
  · Provisional A+ / B / C: approximately 30 seconds
  · Fifteen-point checklist: 60–90 seconds
  · Submission: approximately 5 seconds
  · Total trigger assessment to entry: 1.6–2.1 minutes
==============================================

What these templates omit: the journal

The card and form end at the decision. Journal field definitions, MAE/MFE, reconciliation to the execution report, metrics and uncertainty intervals are a separate tool in 15.9, section 2. Screening supplies information no execution import can reconstruct: the setup-card identifier and version, the class assigned before entry, and skip_reason with the decisive checklist item and value.