Learn how to handle news trading in Phase 1 vs Phase 2 prop firm evaluations, including rule verification, NFP/CPI/FOMC timing, drawdown, pending orders and post-news setups.
Akash Mane is the Founder and CEO of Prop Firm Bridge, where he leads the company’s vision, platform growth, and long term strategic direction. He oversees operations across research, marketing, content systems, SEO, and product positioning while driving the platform’s mission of becoming a trusted authority in the prop firm industry. At Prop Firm Bridge, Akash plays a direct role in shaping educational frameworks, comparison systems, and trader focused resources designed to help users make informed decisions with transparency and confidence. His work focuses on building scalable organic growth systems, improving platform authority, and strengthening trust through accurate, structured, and search optimized content. In addition to leadership responsibilities, he actively manages growth strategy, social media marketing, search visibility, and brand development to expand the platform’s reach across global trading audiences.
Manoj Gholap is responsible for content accuracy, compliance, and factual integrity at Prop Firm Bridge. He acts as the final verification layer for all published content, ensuring that prop firm reviews, rules, and comparisons are clear, accurate, and aligned with transparency standards. Manoj plays a key role in maintaining trust and credibility across the platform.
News trading rules become more confusing when a prop firm evaluation has more than one phase. A trader can pass Phase 1 believing the news policy is understood, then enter Phase 2 with the same habits and discover that the real problem was never the calendar itself. The problem was assuming that every stage, account model, and trading condition uses identical restrictions. Some programs keep the rules exactly the same. Others can change permissions, drawdown treatment, holding conditions, or the practical risk created by a lower profit target. The safest approach is therefore not to memorize one slogan such as “news trading is allowed” or “news trading is banned.” The trader needs a stage-specific operating plan.
This guide explains how to handle news trading in Phase 1 versus Phase 2 without inventing a universal industry rule. It separates three questions that traders often mix together: what the account legally allows, what the current phase mathematically requires, and what the strategy can realistically survive during high volatility. A Phase 2 trader may face the same official news rule as Phase 1 but still need a smaller risk budget because the account has already consumed mental energy, the profit target may be lower, and protecting progress can have more value than capturing one volatile release.
The article also uses current 2026 release timing as a practical reference. The U.S. Bureau of Labor Statistics publishes its release calendar in Eastern Time, including major releases such as Employment Situation and CPI, while the Federal Reserve publishes FOMC decision and press-conference times separately. Those official schedules should be treated as the timing source for the event itself. A prop firm’s own rule decides whether the trader may open, close, or hold around it. Calendar color, social-media labels, and another trader’s experience are not substitutes for the account terms.
Author credibility: This guide is written by Akash Mane, Founder and CEO of Prop Firm Bridge. The framework is based on data-backed prop firm rule research, current official economic-release schedules, drawdown mechanics, and practical evaluation risk planning. Manoj Gholap is the fact checker.
Table of Contents
Quick answer: Do not assume Phase 1 and Phase 2 use different news rules, and do not assume they are identical. Verify the exact account terms for each phase. Even when the official restriction is the same, Phase 2 can justify smaller risk because the trader is closer to completion and has less reason to use a high-volatility event as a shortcut. Separate opening, closing, holding, pending-order execution, and profit-credit rules around news. Use official event schedules for timing and the prop firm’s own terms for compliance.
No. There is no reliable universal industry rule saying Phase 1 must allow news while Phase 2 restricts it, or the reverse. Some programs keep the same trading permissions across both phases. Others can attach different conditions to different account models, stages, or funded accounts. The only safe conclusion is that the trader has to verify the current terms for the exact evaluation being traded. A rule remembered from another challenge is not evidence for the current one.
The first thing to record is the account model and phase. Beside it, write whether the rules discuss opening new trades around scheduled news, closing trades around news, holding existing positions through the event, pending orders that activate during the event, and whether profits earned in a restricted window are treated differently. These actions can be governed separately. A trader who reads “news trading restricted” without identifying the actual prohibited action can become more confused than before reading the rule.
The second thing to record is the rule source and verification date. Prop firm conditions can change. If a dashboard, FAQ, help-center article, or account agreement provides the current wording, store the relevant link. If the wording is ambiguous, ask support a narrow question that names the phase, account model, instrument, and action. For example: “On Phase 2 of this two-step evaluation, may an existing EUR/USD position remain open through the CPI release, and may its stop or take-profit execute during the restricted window?” A precise question is more likely to produce a usable answer than “Can I trade news?”
Another trader may be using a different evaluation type, purchase date, region, platform, or rule version. Even within the same prop firm brand, a one-step, two-step, swing, instant-style, or futures account can have different permissions. The person may also describe “news trading allowed” because a position remained open without a breach, while the actual rule could still restrict opening new orders during a narrower time window. Their experience is not necessarily false; it is simply not a complete rule source for your account.
Social media also compresses complicated policies into short claims. “Firm allows NFP” can mean many things: the firm permits holding through NFP, permits opening trades before it, permits trades during evaluation but not funded stage, permits the activity but excludes profit during a window, or has no special rule at all. A trader who copies the short claim can act on a different meaning than the original poster intended.
Use community experience for operational clues, not for legal interpretation of the account. If many traders report unusual execution around a release, that can motivate you to investigate spreads and slippage. If someone claims a rule changed, check the current official terms. The goal is to let public discussion tell you what to verify while allowing the actual account documentation to control the decision.
Create one row for Phase 1 and one row for Phase 2. Include account model, news permission, exact restricted window if one exists, source timezone, server-time equivalent, local-time equivalent, opening rule, closing rule, holding rule, pending-order rule, stop-loss and take-profit treatment, affected event categories, affected instruments, profit-credit conditions, and the consequence of a breach. Add a “last verified” date and the source URL or support reference.
Then add a second layer for personal risk. Even if the firm permits news in both phases, your own rule can be stricter. A trader may choose no new entries from thirty minutes before a major release until spreads normalize afterward, while still holding a small swing position if the account allows it. That is not a claim about the firm’s restriction. It is a personal operating buffer designed to protect the evaluation from slippage and emotional trading.
Finally, write the current phase in large, obvious text on the trading checklist. After weeks in Phase 1, the trader can continue operating automatically when Phase 2 starts. A visible phase label interrupts that habit and forces a fresh rule review. Passing should trigger a reset of the rule sheet, risk budget, and calendar alerts before the first Phase 2 order is placed.
Prop Firm Bridge research note: The safest phrase is not “Phase 2 rules are stricter.” It is “Phase 2 rules must be verified separately.” That preserves accuracy across different account designs.
Book insight: Atul Gawande’s The Checklist Manifesto is useful because stage transitions are predictable operational events. A short checklist can prevent a trader from carrying an old rule into a new phase.
Imagine the prop firm allows the same behavior around news in both phases. The legal rule is identical, but the account objective can be different. Phase 1 may require a larger profit target and the trader may begin with a fresh drawdown cushion. Phase 2 can have a smaller target, meaning the value of preserving progress rises. The trader may therefore rationally use less risk around the same CPI release even though the firm has not changed one word of the policy.
This distinction is important because compliance and strategy are separate layers. Compliance answers “may I do this?” Strategy answers “should I do this?” A trader can be fully allowed to trade NFP and still decide that the volatility, spread, and slippage do not fit the current account state. Conversely, a trader can believe a setup is attractive but still be prohibited from executing it during the account’s restricted window.
Phase-specific risk should therefore depend on remaining target, remaining drawdown, recent performance, and the strategy’s historical behavior around the event. If the Phase 2 account is 1% from completion, risking 1% on a release that can slip beyond the stop may be mathematically poor even if the same risk was acceptable early in Phase 1. The account has less need for speed and more value in survival.
A fresh Phase 2 account can have a wide drawdown cushion, while a Phase 1 account after several losses can be close to failure. Saying “always risk less in Phase 2” is therefore too simplistic. The stronger rule is to size from the live distance to the active loss boundaries. The phase influences objectives, but the account state decides the real risk capacity.
Calculate the current daily-loss room and maximum-loss room in cash. If the account uses trailing drawdown, identify the active floor. Then create a normal stop loss, a high-volatility slippage scenario, and a severe news scenario. The release position should fit inside a personal risk budget that leaves additional room for spread, commission, and another unexpected move. A news trade should not consume most of the remaining drawdown simply because the calendar event looks important.
This makes the process self-correcting. After a strong Phase 1 start, the account can maintain the normal conservative risk unit. After a losing sequence, the risk unit shrinks. At the beginning of Phase 2, the trader recalculates from the new account state instead of copying the Phase 1 lot size. The phase transition becomes a mathematical reset rather than an emotional continuation.
A lower target means fewer high-quality trades may be required to complete the phase. If the strategy normally earns 0.3% to 0.5% on good setups, a trader 2% from the target may need only several ordinary trades. Participating in a highly volatile release for the possibility of a faster finish can add disproportionate tail risk relative to the remaining objective. Skipping the event can therefore have positive strategic value.
This is not because Phase 2 is always easier or safer. It is because the opportunity cost of waiting can be small. If there is no strict time limit, another session arrives. The trader can let NFP, CPI, or an FOMC decision pass, wait for spreads to normalize, and trade the resulting structure later. The target does not care whether profit was earned at 8:30 a.m. during the release or two hours later from a cleaner setup.
Phase 1 can also benefit from skipping news. The larger target does not justify gambling. The distinction is one of marginal value: as the trader gets closer to completion, protecting the account can become more valuable than maximizing the speed of every opportunity. A phase-aware strategy recognizes that without turning the phase label into a universal risk rule.
Prop Firm Bridge research note: Identical news rules can justify different personal risk because account state and remaining objective change. Compliance is binary; risk management is dynamic.
Book insight: Morgan Housel’s The Psychology of Money repeatedly emphasizes survival and room for error. A lower remaining target increases the value of preserving the chance to trade again.
Phase 1 often presents the largest visible profit target in a multi-step evaluation. The trader can look at an 8% or 10% goal and imagine that ordinary low-risk trading will take too long. Major economic releases then appear attractive because price can move quickly. One winning NFP trade seems capable of producing several days of progress in minutes. The psychological danger is that speed becomes the reason for the trade instead of the strategy’s tested edge.
High-impact releases can also create unusually poor execution. Spreads can widen before and after the headline. Market orders can fill worse than expected. Stops can slip. Pending orders can activate into a rapidly changing book. A position sized for a normal ten-pip stop can therefore lose more cash than the same stop during a quiet session. If the Phase 1 account is early in its life, one oversized news loss can immediately reduce the number of future attempts available to the strategy.
A better Phase 1 objective is to build a drawdown cushion before taking any optional high-volatility exposure. The trader does not need to avoid news forever. The point is to earn flexibility first. If the account reaches a modest profit buffer through normal setups, a small, tested news strategy can be considered if the rules allow it. The evaluation should not begin with a binary attempt to accelerate the target.
Start with the strategy’s normal risk per trade. Then reduce it for event conditions according to historical slippage and volatility. If an ordinary setup risks $300 with a predictable stop, a release trade might use a smaller size because the same technical distance can produce a larger realized loss. The exact reduction must come from the instrument and strategy, not a universal number copied from another trader.
Include the whole portfolio. A trader can hold three small positions that all react to the same U.S. release. EUR/USD, GBP/USD, gold, and an equity index can share dollar, rates, or risk-sentiment exposure. The account experiences the combined equity movement, not four separate intentions. Set a maximum total event-risk budget and allocate all correlated positions inside it.
Use a personal stop before the formal daily loss limit. If the account permits a 5% daily loss, the trader can operate with a much smaller personal boundary. The space between the personal and formal limits protects against slippage, spread expansion, calculation differences, and emotional attempts to recover after the first event trade. Phase 1 should be designed to survive several ordinary mistakes, not depend on perfect execution.
Wait when the strategy has no proven release-time edge, the account rule is ambiguous, spreads are already abnormal, the position requires a very tight stop, or the trader is emotionally focused on accelerating the target. The post-news market often creates new technical structures after the first volatility burst. A breakout can retest. A false break can return inside the range. A trend can establish after the initial whipsaw. Those conditions can offer more measurable risk than the first seconds.
Waiting also makes compliance easier. If the account has a restricted window around a high-impact event, the trader can mark the end of that window and then apply a separate execution-readiness rule. The legal window ending does not guarantee normal liquidity. The trader waits until both the firm rule and personal spread/volatility conditions are satisfied.
Phase 1 success does not require participation in every event. A trader who skips ten chaotic releases and takes twenty ordinary high-quality setups can still reach the target. The evaluation rewards net P&L inside the rules, not bravery during the most volatile minute of the month.
Prop Firm Bridge research note: Phase 1 news trading should be treated as optional risk, not a shortcut to a large target. Speed has no value if it reduces the account’s survival probability.
Book insight: Mark Douglas’ Trading in the Zone emphasizes executing an edge consistently rather than needing any one trade to work. That mindset is especially useful when a large Phase 1 target creates urgency.
Passing Phase 1 gives the trader evidence that the strategy can produce the required profit under the evaluation rules. That is valuable, but it can also create overconfidence. A trader who navigated several high-impact events successfully may believe the news process is mastered. The lower Phase 2 target can then look easy, encouraging larger risk because “only a few percent” remains.
The problem is that Phase 2 is a new sample. Market conditions can change. The first phase may have occurred during stable trends while the second begins during a volatile policy week. A successful NFP trade in Phase 1 does not change the probability distribution of the next NFP. Good outcomes do not grant immunity from slippage or a rule mistake.
Reset the psychological score to zero. Keep the confidence in the process, not in the prediction. The same checklist should be completed before every event. The same server-time conversion should be verified. The same personal risk cap should apply unless the Phase 2 plan explicitly reduces it. Passing one stage should make the process more disciplined because there is now more progress to protect.
A defensive mode can reduce risk on high-impact event days, especially when the account is already near the target. The trader can stop initiating new positions before the event, close or reduce correlated exposure where the strategy permits, and wait for post-news structure. This is not fear. It is recognizing that the marginal benefit of a large event win has fallen while the cost of a large loss remains high.
Suppose the Phase 2 target is only a few percentage points away and the trader has already earned most of it. A normal 0.25% or 0.5% setup can finish the phase over several sessions. A news trade that risks a slippage-adjusted 1% can set the trader back significantly. The risk-reward of speed has changed even if the chart opportunity looks similar to Phase 1.
Defensive mode should be written before the phase begins. Define the profit level at which risk is reduced, whether high-impact releases are skipped, and how many losses trigger a stop for the day. Predefining the rule prevents the trader from reducing risk only after a scary event or increasing it after one lucky release.
Calling Phase 1 the hard part can weaken attention. The trader may skip the news calendar, assume the rules are already understood, or increase size because the target is smaller. Yet the account can fail from the same daily drawdown, maximum drawdown, timing error, or prohibited action as before. A lower target does not reduce the consequence of a breach.
Phase 2 can also create impatience because the trader feels close to funding. The first stage may have taken weeks, and the trader wants to finish quickly. That makes a scheduled release emotionally loaded. Instead of seeing CPI as one market event, the trader sees it as the possible final trade before the funded account. Emotional meaning can distort position size and stop discipline.
Use the same language for every event: “one trade in a series.” The phase target is a bookkeeping milestone. The market does not know the trader is close to passing. Treating the release normally protects the statistical edge that got the trader through Phase 1.
Prop Firm Bridge research note: Phase 2 often needs more patience, not more aggression. The lower remaining target can increase the value of avoiding unnecessary high-volatility risk.
Book insight: Annie Duke’s Thinking in Bets is relevant because a successful Phase 1 outcome should not be confused with proof that every underlying decision was optimal. Keep reviewing the process.
The U.S. Bureau of Labor Statistics publishes official release dates and times for Employment Situation, CPI, PPI, and other data. Its 2026 schedule states that calendar times are Eastern Time. The Federal Reserve publishes FOMC meeting decisions and press conferences through its own calendar. These official sources answer when the event occurs. They do not answer whether a particular prop account may trade it.
The prop firm’s rule should therefore reference the official event time or the specific calendar it names, then define the restricted behavior. A trader should not infer the restriction from the event’s importance alone. NFP can be high impact, but the account may permit it. Another account may impose a blackout. The calendar and the rule serve different purposes.
Store both links in the trading plan. The official source protects against stale event timing. The account source protects against stale compliance assumptions. If a third-party calendar shows a different time, investigate the timezone and update status rather than blindly choosing one. The exact event time matters because a five- or ten-minute rule window can be breached by a one-hour conversion error.
A scheduled FOMC meeting can involve a policy statement or decision followed by a press conference. In September 2026, for example, the Federal Reserve calendar lists the meeting decision at 2:00 p.m. Eastern Time and the press conference at 2:30 p.m. That creates two distinct moments of potential repricing. A trader who waits only for the first spike to end can still be exposed to a second volatility wave during the press conference.
The same concept applies to other central banks. A rate decision, statement, projections, and press conference can arrive at different times. The trader should map the full event sequence rather than one headline time. If the prop rule refers to a named event window, clarify whether the press conference is included. If it refers to high-impact calendar events, check how the calendar labels each component.
For strategy, a multi-window event suggests a wider patience window. The market can establish one direction after the statement and reverse when the chair explains the decision. A post-news technical setup may be cleaner after the final major communication rather than after the first release. This applies in both phases; Phase 2 simply may have more reason to wait.
Use one event template. Mark official time, source timezone, server-time equivalent, local-time equivalent, account restriction, affected instruments, existing exposure, normal spread, current spread, position size, and personal no-trade window. The phase-specific adjustment comes in the risk budget, not in basic preparation. Phase 1 and Phase 2 should both know exactly when the event occurs.
For NFP, remember that the Employment Situation contains multiple labor-market components and revisions, so the market response is not determined by the headline payroll number alone. CPI also includes headline and core measures, and the reaction depends on expectations and the broader policy context. Traders should avoid treating “better” or “worse” as automatic direction rules.
The strongest compliance process is boring. The calendar alert fires, the trader confirms the account rule, exposure is already within the plan, and no last-second decision is required. Whether the phase is 1 or 2, the event should not feel like an emergency.
Prop Firm Bridge research note: Official schedules determine event timing; account rules determine compliance. Keeping those sources separate prevents a common category error.
Book insight: Daniel Kahneman’s Thinking, Fast and Slow is useful because dramatic events invite simplified stories. NFP, CPI, and FOMC reactions often depend on multiple data points and expectations, so risk planning should not rely on one narrative.
A trader can interact with news in several ways. Opening a position seconds before the release is different from holding a trade opened yesterday. Closing a position during the event is different from placing a new order. A stop-loss or take-profit executing automatically is different from the trader pressing the market button. Pending orders can create new exposure without a manual click. A prop firm can treat these actions differently.
Therefore, every phase should have separate fields for opening, closing, holding, pending orders, and automatic exits. If the rules are silent on one action, do not assume another rule covers it. Ask support. For example, a program can allow holding through news but restrict trades opened within a narrow window. Another can allow trading but exclude profits generated from a restricted interval. Another can have no special news rule at all.
This separation also improves strategy design. A swing trader may not care about opening during the release but needs to know whether an existing trade can remain open. A scalper may always be flat before news and care only about when new entries can resume. The relevant rule depends on how the strategy interacts with the event.
A trader can decide to avoid the release, close all visible positions, and still leave a buy stop or sell stop near the market. The event arrives, price spikes, and the pending order activates inside a restricted window. From the trader’s perspective, no manual news trade was taken. From the account’s perspective, new exposure may have been created exactly when the rule prohibited it.
Phase 2 is especially vulnerable because habits from Phase 1 can carry over. The trader may have used breakout pending orders successfully in the first stage and forget that the current model or phase requires a different treatment. The safest pre-news checklist should therefore include “pending entries removed or intentionally permitted” as a separate line.
Automated systems need the same control. An EA can place a pending order after the trader manually deletes one. A copier can recreate the order on another account. The trader should understand which systems remain active during the blackout and confirm each destination account where necessary.
Do not assume automatic exits are always exempt or always prohibited. Check the exact account wording. If the program distinguishes between holding a position and executing a transaction inside the window, clarify how protective orders are treated. A stop that executes during news can also slip beyond the requested price, creating a larger loss even when it is compliant.
From a risk perspective, the stop should be stress-tested for high volatility. If a 20-pip stop can realistically fill several pips worse during the event, calculate the larger cash loss. If the account cannot comfortably survive it, reduce size before the event. The rule may permit the stop, but permission does not guarantee execution quality.
Take-profit orders can also fill during a sharp spike. If the account excludes profits earned in a restricted window, the trader should know how that affects target progress. If the account permits the profit fully, the strategy can treat it normally. Compliance clarity should exist before the event rather than after the trade wins.
Prop Firm Bridge research note: Opening, closing, holding, pending execution, and protective-order execution are separate actions. A complete news rule sheet names each one.
Book insight: Atul Gawande’s checklist model applies because the difference between open positions and pending orders is simple but easy to miss under time pressure.
A nominal $100,000 account can have only a few thousand dollars of usable loss room. If the maximum drawdown is $6,000 and prior losses leave $3,000 of remaining buffer, a $750 high-volatility loss is 25% of the account’s practical survival room even though it is only 0.75% of nominal balance. That is the number that matters when deciding whether to hold through CPI.
Phase changes can reset some account metrics depending on the program, but the principle is constant: identify the active daily and maximum boundaries for the current account. Do not use a remembered Phase 1 number once Phase 2 begins. Recalculate from the new starting balance, current equity, and drawdown method.
Then create at least three scenarios: normal stop, moderate slippage, severe event slippage. Add spread and commission. If several positions are correlated, combine their losses. The personal event-risk cap should be small enough that the severe scenario still leaves the account comfortably inside the hard boundary.
A target-zone rule can reduce risk automatically. For example, the trader can use normal risk early in the phase, reduce it after reaching a defined portion of the target, and use defensive risk when only a small amount remains. The exact percentages should come from the strategy’s win rate and drawdown analysis, not a universal template.
This is especially useful around scheduled news because the cost of one adverse event rises as the account approaches completion. If the trader needs only 0.5% more to pass, risking 1% through an FOMC press conference creates an asymmetric problem: the potential extra profit has little marginal value, while the loss can require several additional trades to recover.
Risk reduction should not become so extreme that the target becomes unreachable or the trader changes behavior unpredictably. The plan should still allow normal high-quality setups. The key is to remove the urge to finish the phase with one dramatic news trade.
A news event can occur near a server-time reset, or a swing position can remain open across the reset after the release. The daily-loss reference can change while the trade is still active. Depending on the account formula, floating P&L at the boundary can influence the next day’s room. A trader who assumes “the daily limit just refreshed” without understanding the formula can add too much new risk.
Store the reset time and formula in the phase rule sheet. After the reset, recalculate remaining daily and maximum drawdown before opening another trade. A new daily period does not erase maximum drawdown or the emotional effect of the prior event loss.
This is particularly important after late-day central-bank events. A large FOMC move can leave the trader with open risk into the next account day. The trader should not treat the new date as permission to immediately rebuild the same exposure.
Prop Firm Bridge research note: The phase label does not determine safe size. Remaining drawdown and event execution risk do.
Book insight: Van K. Tharp’s position-sizing work is relevant because identical trade signals can produce completely different account outcomes depending on the amount of risk attached to them.
The platform can remain the same between phases, but a recheck is still valuable. Phase transitions can coincide with daylight-saving changes, a new account server, a platform migration, or simply several weeks passing since the trader last verified the offset. A one-hour timing error can be enough to place a trade inside a restricted window.
Use UTC as the bridge. Record the official event time in its source timezone, convert to UTC, then convert to current server time and local time. If the platform server is UTC+2 today and later becomes UTC+3, update the table. Do not memorize only the local clock.
For U.S. data, the BLS publishes calendar times in Eastern Time. The Federal Reserve also lists its event times in Eastern Time. Traders in India remain on UTC+5:30 throughout the year, so U.S. daylight-saving changes shift the IST clock time of those events. That relationship should be updated rather than assumed from last month’s NFP.
The United States and Europe do not always begin and end daylight saving on the same weekends. During the gap between those transitions, a European-based server and a U.S. event schedule can temporarily shift relative to each other. A trader who memorized “CPI is always at this server hour” can therefore be wrong for part of the year.
The solution is not to memorize every daylight-saving law. The solution is to make conversion date-aware. Use a reliable timezone tool or calendar subscription and verify the server offset live. If the event is important enough to create a rule breach, it is important enough to spend one minute confirming the time.
Automated systems should use timezone-aware logic rather than hard-coded offsets where possible. An EA configured for a fixed UTC+2 server can trade an hour early or late after the server moves to UTC+3. Phase 2 often begins weeks after Phase 1, making this a realistic source of error.
A trader can have one account in Phase 2 while another newly purchased account remains in Phase 1. If the accounts use different firms or platforms, they can have different server clocks and news rules. A single local alert is not enough. Build a control table with one row per account and columns for phase, server offset, restricted window, and personal no-trade window.
When a major release approaches, review all accounts together. The most conservative practical approach can be to use the earliest personal stop time and latest resume time across the accounts, but only if that does not interfere with a strategy that legitimately uses different rules. The key is intentional control rather than accidental synchronization.
Copy traders must also verify that the source and destination accounts can legally take the same news action. A trade copied from an account where news is allowed can create a violation on an account with a different restriction. Phase-specific compliance has to be checked on every destination.
Prop Firm Bridge research note: Recheck time conversion at every phase transition. The calendar may be the same, but the server relationship can change with date, platform, or account.
Book insight: James Clear’s systems approach is useful because one UTC-based conversion table eliminates repeated mental arithmetic and reduces avoidable timing errors.
The first seconds after a release contain the largest information shock. Spreads can widen, order books can thin, and price can move through several levels before a stable two-way market forms. A trader who waits can observe which direction holds after the initial reaction, whether the move was rejected, and where new support or resistance forms. The strategy sacrifices the first part of the move in exchange for better information and potentially cleaner execution.
Post-news setups can include breakout retests, failed breakouts, range re-entry, trend pullbacks, or continuation after consolidation. The pattern should come from the trader’s tested system. The news itself becomes context rather than the entry signal. This approach can fit both phases because it avoids much of the release-time execution uncertainty while still allowing the trader to benefit from the volatility the event created.
The legal window must still be respected. If the prop firm restricts trading for a defined period after the event, wait until that period ends. Then apply a separate market-readiness test. The end of the rule does not guarantee normal spread or volatility. Compliance and execution quality have to align before the trade begins.
Use measurable conditions rather than a fixed feeling. Compare current spread with the instrument’s normal spread. Measure the current five-minute or fifteen-minute range against the strategy’s typical stop. Check whether the first impulse high and low have stopped expanding. Observe whether price is accepting one side of the pre-news range or repeatedly crossing it.
A personal rule can require the spread to return below a defined multiple of normal and the opening volatility to contract before entries are allowed. The exact thresholds depend on the strategy. A scalper may need tighter normalization than a swing trader with a wide stop.
Phase 2 can use stricter thresholds because there is often less need to force participation. If the market remains chaotic for an hour, skipping the setup is valid. The lower target can usually be reached from ordinary sessions, so the trader should not lower execution standards simply because the event produced a large move.
Trading after the restricted window creates a clean separation. The trader knows the compliance blackout is over, pending orders were removed, and the new position is based on visible post-event structure. This reduces the chance of arguing later about whether the entry occurred seconds too early or whether a pending order activated during the restricted period.
It also creates better journal data. The trader can tag “post-CPI continuation” or “post-FOMC failed breakout” and measure performance independently from release-time trades. Over enough samples, the trader may discover that the post-news strategy has a higher net expectancy because slippage and spread are lower.
This is not a loophole around restrictions. The trader must respect the exact end of the rule window and any broader conditions. The approach simply recognizes that news creates market structure that can remain tradable long after the prohibited or most volatile interval ends.
Prop Firm Bridge research note: Post-news trading can preserve the informational benefit of the event while avoiding the worst release-time execution conditions.
Book insight: Mark Douglas’ probabilistic mindset applies because the trader waits for the setup that matches the edge rather than feeling entitled to capture the first move.
A trader who passes Phase 1 often feels relief and validation. The strategy appears proven, the rules feel familiar, and the funded goal seems closer. This emotional improvement can reduce vigilance. The trader may stop checking the calendar as carefully, increase lot size, or assume the same news behavior that worked before will keep working.
Confidence is useful when it supports consistent execution. It becomes dangerous when it changes risk without evidence. A Phase 1 pass can include favorable variance. Several news trades may have filled better than expected. A losing event may have narrowly missed the daily limit. Those outcomes do not become safer because the account advanced.
Use a transition ritual. Review the Phase 1 journal, identify which news decisions were process-correct and which were lucky, then write the Phase 2 rules before trading. The goal is to carry forward the process and discard the emotional story that “I have figured this out.”
Some traders become more conservative after passing because they are afraid to lose progress. They can avoid every setup, close winners too early, and constantly check the account. This can make the lower target surprisingly difficult because the strategy is no longer allowed to operate normally.
The answer is not aggression. It is planned risk. Define the Phase 2 risk unit, event policy, and target-zone reduction before the first trade. Then follow the plan. If the strategy says a post-news setup qualifies, take it at the planned size. If it says skip the release, skip it without fear of missing out.
A structured plan protects against both extremes. Overconfidence cannot increase risk arbitrarily, and fear cannot reduce risk to zero every time volatility appears. The phase becomes another sample of the same professional process.
The phrase “I can finish today” creates a deadline the market did not create. A trader 1% from target sees CPI or FOMC as the opportunity to complete the phase, then takes a setup that would be rejected on any ordinary day. If the trade loses, the frustration can lead to a second attempt and a much larger setback.
Replace the target with a process metric for the day. For example: follow all event restrictions, risk no more than the personal limit, and take only A-grade setups. If the account passes, that is an outcome. If it does not, the process still succeeded and the next session remains available.
This mindset is particularly important when the firm has no short deadline. There is no economic value in finishing one day earlier if the faster attempt meaningfully increases the probability of failure. The trader should optimize for passing probability, not emotional completion speed.
Prop Firm Bridge research note: Phase 2 psychology can swing toward overconfidence or fear. A written event-risk plan keeps both emotions from changing the strategy.
Book insight: Morgan Housel’s discussion of “enough” is relevant. Knowing when the remaining objective is small enough to protect rather than accelerate can improve Phase 2 decisions.
Include phase, account model, event, event source, official event timezone, UTC time, server time, local time, impact category, account restriction, restricted start, restricted end, opening permission, closing permission, holding permission, pending-order permission, stop-loss treatment, take-profit treatment, affected instruments, personal no-trade window, personal max risk, correlated exposure, and notes. This looks detailed, but most fields can be reused across weekly events.
The matrix should distinguish permanent rules from event-specific values. The account’s restriction window may remain the same all month. The event time changes each week. Keep the rule in a master sheet and import the current calendar into a weekly planning sheet. This reduces repeated work while preserving accuracy.
For Phase 2, add remaining target and current drawdown buffer. Those two fields help determine whether the personal event-risk unit should be reduced. The official rule may remain unchanged, but the trader’s own risk can respond to account state.
Do not overwrite the old rule without a date. Create a new version and record when it became effective. This helps explain historical trades if the account is later reviewed. A position taken under an older rule can be evaluated using the correct conditions rather than today’s wording.
Update alerts at the same time. If the blackout changes from five minutes to ten, the local calendar reminder must change. If the server offset changes, every event conversion must be recalculated. Rule documents and operational tools should move together.
For multiple accounts, do not force all rules into one generic row. Use separate rows. If one account allows holding and another does not, the matrix should make the difference obvious before a copier distributes the trade.
Most news mistakes occur because the trader is doing several jobs at once: analyzing the market, checking the rule, converting time, managing open trades, and watching spreads. A prepared matrix removes the factual tasks. The trader arrives at the session already knowing the restriction window, account phase, risk cap, and current exposure.
This allows attention to focus on execution. If the event is at 8:30 a.m. Eastern Time and the personal no-entry window starts at a known server time, the trader does not need to recalculate it while price is moving. Pending orders can be removed at the first alert. The second alert confirms compliance.
A good system feels repetitive because the most important decisions were made before the volatility arrived. That is exactly the purpose.
Prop Firm Bridge research note: A phase-specific matrix converts policy, timezone, and risk into one operating view. It is especially useful for traders managing several evaluations simultaneously.
Book insight: Greg McKeown’s Essentialism supports reducing unnecessary decisions. The matrix lets the trader spend attention on the few choices that still require judgment.
Verify the account’s news rules, daily and maximum drawdown, server time, platform schedule, overnight and weekend permissions, and whether the rules change in Phase 2. Build the news matrix. Subscribe to reliable official economic calendars where available and add a secondary planning calendar for impact labels. Define the personal event-risk unit and personal daily-loss stop.
Backtest or forward-test the actual news behavior the strategy intends to use. If the system trades post-news retests, gather samples. If it holds swing positions through events, measure gap and slippage. If it trades release-time momentum, use realistic spreads and execution assumptions. The evaluation should not be the first test of a high-volatility idea.
Finally, decide the default action for major events: trade, hold only, reduce, or stay flat. The default can be overridden only by a specific tested setup, not by excitement on the day.
Stop trading until the Phase 2 account and rules are confirmed. Do not assume the transition is automatic from a risk perspective. Record the new account identifiers, starting balance, drawdown floors, daily reset, phase target, platform server, and news policy. Rebuild local calendar conversions using the current date.
Review Phase 1 performance by event. Separate compliant process wins from lucky outcomes. Identify any near-breaches, late entries, pending-order mistakes, or oversized positions. Carry the lessons into Phase 2 before placing the first order.
Define the Phase 2 target-zone plan. Decide when risk will be reduced as the account approaches completion. This prevents the final percentage from becoming an emotional excuse for a larger news trade.
Confirm the event time from a reliable source. Confirm the account phase and restriction window. Calculate current daily and maximum drawdown. Review open and pending orders. Group correlated exposure. Apply the personal no-trade window. If holding is allowed and the strategy requires it, stress-test slippage. If the strategy does not have a release-time edge, wait.
After the event, check account status and execution before adding new risk. Wait until both the official restriction and personal liquidity conditions are satisfied. Trade only a tested setup. Record spread, slippage, event, phase, and result in the journal.
At the end of the day, update the matrix if anything changed. The goal is that Phase 1 and Phase 2 use the same professional workflow while allowing different risk budgets where the account state justifies them.
Prop Firm Bridge research note: The best phase transition preserves the process while recalculating the account. Rules are verified again, risk is reset, and emotional momentum is not allowed to substitute for preparation.
Book insight: Atul Gawande’s checklist principle closes the framework: a reliable transition is built from a small number of critical checks repeated every time.
Applied Phase 1 and Phase 2 example: a CPI week. Consider a two-step evaluation in which the trader uses a four-hour EUR/USD strategy and normally risks a small fixed cash amount on each setup. The account’s official rule, in this hypothetical example, allows existing positions to remain open through scheduled news but prohibits new entries during a defined blackout. On Monday, the trader marks Friday’s CPI release from the official BLS calendar and converts the Eastern Time release into current server time. The same conversion is placed on the phone calendar. The trader also notes that the actual firm blackout begins before the release and ends after it. That preparation is identical in Phase 1 and Phase 2.
In Phase 1, the account is early in the challenge and has a wide drawdown cushion. A valid four-hour long position appears on Thursday. The position is already protected by a logical stop and the strategy historically holds through macro releases. The trader confirms that holding is permitted, reduces the position to the personal event-risk unit, removes unrelated pending orders, and stress-tests a fill worse than the stop. The severe scenario still uses only a modest share of remaining drawdown. The hold therefore fits both compliance and strategy. If CPI produces a large adverse move, the account can survive without requiring a manual rescue trade.
Now imagine the same setup in Phase 2. The official rule is unchanged, but the account is only 0.7% from the target. The trader calculates that one or two ordinary post-news setups can finish the phase. The Thursday swing trade would still be legal to hold, but its severe CPI stress loss could push the account several percentage points away from completion. The trader chooses to reduce more aggressively or close. That decision is not based on a different firm rule. It is based on the changed value of protecting progress. This example shows why traders should separate compliance from the personal risk overlay.
Applied example: an FOMC day with two volatility windows. The trader has no open position before the decision. The Federal Reserve calendar lists the policy decision and a later press conference. Instead of treating the first time as the only event, the trader marks both. The personal plan says no new entries before the statement, no reaction trade during the first impulse, and no new risk before the press conference unless the strategy specifically contains a tested inter-window setup. The trader waits until the press conference is complete and spreads return to the normal range before looking for a technical entry.
In Phase 1, this can feel slow because the trader sees large movement occur without participation. The discipline is to remember that missed movement is not a loss. If a clean trend pullback appears later, the trader can take it at normal post-news risk. If the market never produces a valid setup, the day ends flat. The profit target remains unchanged, but the account also remains intact. The evaluation is not scored on how much volatility the trader watched from the sidelines.
In Phase 2, the same process can be even more valuable. A trader close to the target may be tempted to trade the first statement spike because only a small profit is needed. Yet the press conference can reverse the move. Waiting avoids turning the final part of the evaluation into a binary bet. A later setup might offer less raw movement but better control over spread, stop placement, and account risk. The trader sacrifices speed to increase the quality of execution.
Applied example: a pending-order error. The trader’s strategy uses breakout buy stops and sell stops around consolidation ranges during normal sessions. On a high-impact day, the personal plan is to avoid the event. The trader manually closes an old position and thinks the account is flat. However, two pending orders remain above and below the range. The release hits, one order activates, price immediately reverses, and the position is stopped. Whether the account rule considers that a violation depends on its exact wording, but the operational mistake is clear: the trader intended to avoid news yet left an execution path active.
The prevention is simple. The pre-news checklist must contain separate lines for open positions, pending orders, automated strategies, and copy-trading destinations. “Flat” should describe the entire risk state, not only the positions tab. In Phase 2, this matters even more because the account may be close to completion and the trader can become focused on protecting visible trades while forgetting inactive orders. A thirty-second order audit can protect weeks of progress.
Applied example: correlated exposure through U.S. data. A trader holds EUR/USD long, GBP/USD long, and gold long. Each individual position risks a small amount, so the trader feels diversified. Before NFP, the positions are grouped by their shared sensitivity to the U.S. dollar, rates, and risk sentiment. The combined severe event scenario is much larger than the trader expected from looking at each ticket separately. The account is effectively carrying one macro position through the release.
In Phase 1, the trader may keep the strongest setup and reduce the other two. In Phase 2, where the remaining target is smaller, the trader may close two and carry only a very small position if holding is permitted. The exact action is less important than the portfolio method. News risk should be calculated by common driver, not by number of symbols. A prop account breaches on total equity, so diversification that disappears during the event does not protect the account.
Applied example: a losing week before NFP. The trader enters Friday after several ordinary losses. The daily limit has reset, which creates the psychological impression of fresh capacity, but the maximum drawdown is now much closer. NFP is scheduled and the trader sees a strong pre-release setup. The temptation is to use the event to repair the week. Instead, the trader calculates the severe slippage scenario against remaining maximum drawdown and finds that normal size would use an unacceptable share of the buffer.
The correct decision can be to reduce heavily or skip the release entirely. The fresh daily limit does not erase the maximum-loss path. This is a critical Phase 1 lesson because a trader early in the challenge can feel pressure to recover lost target progress quickly. It is also a Phase 2 lesson because a trader can be close to funding and view recovery as urgent. In both stages, the account should decide how much risk exists, not the desire to return to a previous equity level.
Applied example: a profitable Phase 1 news trade that should not increase Phase 2 risk. Suppose the trader happened to capture a post-CPI continuation in Phase 1 with excellent execution. The trade produces a large winner and becomes emotionally memorable. When Phase 2 begins, the trader may assign too much weight to that one result and increase size for the next CPI. This is outcome bias. The first trade was one sample. It does not prove the next release will have the same spread, surprise, direction, or follow-through.
The journal should evaluate the process rather than the size of the winner. Was the entry outside the restricted window? Was spread normalized? Did the setup meet the normal strategy rules? Was risk inside the personal cap? If yes, repeat the process at the same or smaller risk. If the winner depended on an unusually favorable fill or a lucky first impulse, do not convert luck into a larger Phase 2 position. Confidence should attach to repeatable conditions, not a single dramatic P&L result.
Applied example: news is officially allowed but the trader still stays flat. A trader verifies that the current Phase 2 account has no special restriction on a particular scheduled release. That permission can create a false sense that the event is now an opportunity. Yet the trader’s own backtest shows poor results during release-time volatility and stronger results from post-news pullbacks. The rational action is to stay flat during the release even though the account would allow a trade.
This distinction is central to professional prop trading. Rules define the outside boundary. A strategy should usually operate well inside that boundary. A driver is legally allowed to use the full speed limit but can choose a lower speed in heavy rain. Similarly, a trader can be legally allowed to trade news and still choose a lower-risk or no-trade approach because execution conditions are unfavorable. Permission is not an instruction.
Applied example: news is restricted but the trader wants to use the information indirectly. If the account prohibits opening trades around a release, the trader can still observe what the event does to market structure and trade later when the restriction has ended. CPI can break a weekly level, FOMC can change a trend, and NFP can establish a range that becomes technically useful during the next session. The trader is not bypassing the rule; the trader is waiting until compliant trading resumes and using public market information as context.
This indirect use of news is especially useful in Phase 2. It reduces the urge to participate during the highest-risk interval while still allowing the evaluation to benefit from the clearer trend or volatility regime that follows. The trader can mark the pre-news range, first impulse, post-news high and low, and the level at which spread normalized. Those levels become inputs for the normal technical strategy.
Applied example: the phase changes during a daylight-saving transition. A trader finishes Phase 1 in early March and receives the Phase 2 account after a U.S. daylight-saving change. The trader’s local region does not change clocks. The next U.S. release now occurs at a different local hour than the last major release traded in Phase 1. If the trader copied the old phone alert, the personal no-trade window is wrong.
The solution is a transition-time audit. Recheck the official source timezone, UTC offset, current server offset, and local conversion. Update alerts before the first Phase 2 event. This example shows why phase transitions should trigger operational verification even when the prop firm did not change the rule. Time can change around the account.
Applied example: the same firm, two account models. A trader passes Phase 1 on one model and also trades Phase 1 on a second model from the same provider. The trader assumes the news rules are identical because the company is the same. In reality, account models can have different rule sets. The control sheet must therefore identify rules by model and phase, not by brand name alone. A copied trade that is compliant on one account can be non-compliant on another.
For multi-account traders, the safest event workflow is to review every destination before a scheduled release. If one account has a tighter restriction, the trader can either prevent the trade from being copied there or adopt a personal policy that satisfies the strictest account where practical. What matters is that the difference is intentional. One source account should never dictate compliance for every destination without verification.
How to audit the entire Phase 1 to Phase 2 process after completion. Once the evaluation is passed or failed, review every high-impact event day separately. Record whether the account was flat, holding, or actively trading; whether the trade occurred before, during, or after the event; the spread; slippage; risk in cash; remaining drawdown; and whether the action matched the written rule. Then compare results by phase.
The purpose is not to prove Phase 1 or Phase 2 is inherently easier. The audit should identify which behaviors improved survival and which added unnecessary variance. A trader may discover that release-time trades contributed little to profit while post-news setups contributed most of the gains. Another may find that carefully sized swing holds worked well. The data can then shape the next evaluation.
Finally, separate rule compliance from P&L in the scorecard. A profitable violation is still a process failure. A compliant losing trade can still be a good decision. A skipped event that later produced a perfect move can still be correct. This separation helps the trader improve without letting outcomes rewrite the rules after the fact.
The frequently asked questions for this guide are stored in the article’s structured FAQ section so the page avoids duplicate Q&A text while keeping this H2 available for the table of contents.
About the Author: Akash Mane
Akash Mane is the Founder and CEO of Prop Firm Bridge. His work focuses on data-backed prop firm research, rule verification, evaluation risk mechanics, and educational systems designed to help traders make informed decisions before account rules become expensive mistakes. Connect with Akash Mane on LinkedIn.
Final Take: Phase 1 and Phase 2 Need Separate Verification, Not Separate Myths
News trading across a two-step evaluation should not be managed by slogans. Phase 1 is not automatically the “free” phase, Phase 2 is not automatically the “strict” phase, and passing the first stage does not prove that every news habit is safe. The trader should verify the current rule for the exact account and then decide how much optional volatility the current phase can afford.
Use official economic schedules for timing. Use the prop firm’s current terms for compliance. Separate opening, closing, holding, pending orders, and protective-order execution. Calculate risk from remaining drawdown rather than nominal balance. Use smaller personal risk as the target approaches if the strategy supports it. Treat FOMC as a sequence of potential volatility windows rather than one timestamp. Recheck server time when the phase changes.
The strongest Phase 2 trader is usually not the trader who becomes more aggressive after proving Phase 1. It is the trader who becomes more precise. The lower target makes patience valuable. The existing progress makes survival valuable. Clean post-news technical setups can be more useful than the first seconds of the release.
Prop Firm Bridge helps traders understand prop firm rules, drawdown structures, news restrictions, and evaluation mechanics using current research. Before trading any scheduled event, verify the exact conditions for the account and phase, and use propfirmbridge.com as part of your wider prop firm research process.
No. Some programs keep the same rules across both phases, while others can differ by account model or stage. Verify the exact current terms for the exact evaluation.
Not automatically, but Phase 2 often gives traders more reason to protect progress. Size risk from remaining drawdown, current target distance and the strategy's tested event performance.
Only if the exact account rules permit holding through that event. Opening, closing and holding can be treated differently, so verify the specific action.
Yes. A resting buy stop or sell stop can create new exposure during a restricted window. Review pending orders separately from open positions.
Treatment varies by program. Confirm how automatic protective orders are handled and stress-test slippage even when the execution is allowed.
It can offer cleaner execution than the release itself once the restriction window has ended and spreads normalize, but only trade a tested setup and follow the exact account rule.
Use reliable official event schedules for the release time, then convert through UTC to current server and local time. The prop firm's own rule determines the compliance window.
Recheck news permissions, daily and maximum drawdown, server time, restricted windows, pending-order rules, account stage conditions and your personal risk budget before the first Phase 2 trade.
