The Zero-to-Funded Roadmap

How to Read This Roadmap

Three different things in the PTM world are easy to confuse. Get them straight before you start.

Strategy Comprehension

Understand what the Phantom method is before you try to trade it. The foundation of the whole system is one distinction: information vs confirmation. A wick taking liquidity is information; a body close that shifts order flow is confirmation. Most of Phase 1 is learning to tell them apart, everywhere on the chart.

What to actually do

Work the curriculum in order — it's sequenced deliberately, because every concept builds on the one before it. Watch the theory, then immediately apply it to your own charts across multiple pairs and timeframes. Mapping a concept once isn't learning it; mapping supply & demand, structure, and order-flow shifts dozens of times across GU, EU, and XAU is.

Then study the application content, in order

1. The 9-step Process — read the master docs as one connected workflow: Weekly Outlook → Daily Context → Order Flow → Targets → POI Selection → Trade Grading → Entry Model → Risk Filter → Execution & Pivot, anchored by the Framework.
2. The Master Decision Tree poster — the entire process on one page. Pin it where you trade.
3. Phantom on Demand — trade recaps, daily outlooks, end-of-day markups: the strategy in motion, from plan to execution to monitoring.
4. Phantom Live — New York Talks, Office Hours and community-led live sessions.
5. Mini-lessons — Liquidity Masterclass, Flip & FLOR Entries, Candle Profiling, Complex Structure + Liquidity POIs. The early mini-lessons show why the current rules exist; where their execution differs (risk entries, tight stops, premium/discount), the 2026 canon wins.

Strategy Application & Practice

Turn comprehension into repeatable application. The way to internalise this method is to do it again and again. Three practice modes, in increasing difficulty: case studies → end-of-day markups → forward testing. Start with hindsight, then progressively remove the training wheels until you're reading price live, candle by candle.

1 · Case studies — learning with hindsight

The best place to start. Use hindsight to dissect a move and apply the full methodology.

1. Mark the trade with hindsight — using everything from Phase 1, mark how you'd have gotten involved: HTF context, 15m order-flow shift, target, POI, the 1m entry.
2. Bar-replay the lead-in — replay 1–2 hours before the trade on your monitoring timeframe. Watch price hit your drawings and build the story: what is price doing, and why?
3. Replay it blind, in "real time" — hide your drawings, run the replay again, mark it up as it prints. This exposes the gap between a clean hindsight markup and live decision-making.

Initially, just repeat step 1 until applying the strategy feels comfortable — that's fine. Then layer in steps 2 and 3 to build in-the-moment thinking. Use the case-study template from the very first one — it's built around the exact 2026 workflow (HTF read → trade idea → target → POI type → the 1m 5-step entry → grade → management → risk-rule check), so filling it in trains you to think in the structure you'll trade and log in.

2 · End-of-day markups (EODs) — the daily habit

After each session, mark every opportunity your plan would have presented. The single most important routine you'll build. Even on days you can't trade, do the EOD — like an athlete training daily, a trader marks up daily to stay sharp and in tune with conditions. EODs let you practise your edge, collect data, back-test your eye, develop trade ideas, and (once trading) compare live trades against the clean markup to spot deviations and understand why they happened.

3 · Forward testing — the live environment

The hardest mode, and the most important. Watch price print live and either paper-trade or write your read on the chart as each candle forms. Pick one session and stick to it. The Phantom system is traded in New York — so forward-test New York (the day's catalyst usually prints in Asia or London, which means as you arrive into NY you often already have the day's high or low set; see Catalyst Timing).

Forward testing strips away hindsight and the fast-forward button. Everything is live, candle by candle — your knowledge and your psychology get tested. That's normal and expected. Combine it with your EOD review and compare your live notes against the clean markup.

Data Collection

Formally log the trades you mark up (from case studies, EODs, and forward testing) into structured data. Data-driven decisions are the highest-quality decisions — this data is digital gold, and it will shape your trading plan. Take it seriously and take your time.

Where & how to log

Personal preference — Notion, Excel, Google Sheets, or Evernote (Notion pairs especially well with the confluence-pillar audit you'll run in Phase 4). Focus on one pair at a time to isolate that pair's characteristics. Log winning and losing trades — what matters is that you ran the same process on each. Same process, every trade, logged honestly. That is the whole game.

The PTM data schema

Generic journals tell you generic things. Log the PTM-specific attributes and your data will answer PTM questions. Drawn straight from the case-study template and the grading logic — log as many as you can, consistently.

Data Analysis

Compare your logged trades to find the attributes that separate winners from losers. This is where honesty matters most — your data is only as good as the consistency of Phase 3.

Step 1 — Analyse the winners

Filter to winning outcomes and isolate them. Go trade by trade and find the attributes shared across the majority — the attributes with the highest probability of a winning outcome. Compare entry confluences especially. This reveals which sessions, execution times, days of the week, and weeks of the month carry your highest probability.

Example conclusion: "Most of my winners come in the NY session 8–10am EST, from zones that sweep liquidity and break structure, pro-trend." That clarity tells you exactly what to hunt.

Step 2 — Analyse the losers

Harder, and more valuable. Isolate the losing outcomes and find their shared attributes — the combinations to avoid or downgrade. Be meticulous: loser attributes often correlate strongly with context (a time of day, a trend state, a counter-candle day). Data correlation is powerful here.

Step 3 — Reconcile the two

Compare the winning and losing summaries. The check: no attribute should appear strongly in both sets. If one does, either you need more data or you need to re-examine those trades — you've likely missed a distinguishing variable (often a context field: time, grade, candle profiling, sweep quality).

Trading Plan Development

Combine everything into your first data-driven trading plan. The heavy lifting is done — this stage is assembly. Build two versions: an extended plan and a condensed plan.

The procedural layer (decide these explicitly)

• Time of trading — your availability / planned window (the program trades New York).
• Pairs / assets — what you'll trade (start with the one you have data on).
• Risk per trade — the program band is 0.5%–1%, sized by grade (toward 1% on High-Probability, toward 0.5% on Valid).
• Loss limit — the canon default is a max of two losses per day on the one-pair-a-day model (a third only if it's a different pair).
• Expected cadence — roughly ~10 trades a month, 2–3 High-Probability setups a week. Go heavier on High-Probability setups rather than 30–40 small-risk trades.

The criteria layer (the bulk of the plan)

Write out, as specifically as you can, the attributes from Phase 4: times & sessions with higher win/lose probability; days/weeks with higher win/lose probability; entry conditions — the confluence stack, POI types, shift triggers, sweep quality, and grade thresholds that define your highest-probability trades, and the combinations you avoid or downgrade.

Trading Plan Evaluation

Stress-test the plan you just built. This is, deliberately, a repeat of Phases 2–4 — but now you run them with your plan as the starting point. "Didn't I just do this?" Yes — that was to build the plan. This is to test it.

What to do

Collect a fresh sample following your new plan exactly — via case studies, EODs, or forward testing — then run the Phase 4 analysis again. Compare winners and losers. Do your original conclusions hold? You'll still take losses; a trade that follows your model and still loses does not mean the edge is broken.

Active Trading & Continuous Improvement

Trade your plan live, and keep refining it. Take a moment here — very few traders ever build a genuinely data-backed plan. This plan is your business plan, your order of operations, your playbook.

Active trading

Trade your clearly defined session and window. Keep EODs deeply ingrained — they're now part of your daily process and your ongoing data collection. Your single focus: follow the plan. You will have moments where the market feels unclear, where you doubt the plan, where you feel lost. Every trader feels these. Because your plan is built from your data and forged by your chart time, you can always lean on the work.

Continuous improvement

The phases never truly end — you constantly loop back. Keep collecting data (EODs, journals, occasional case studies). Keep comparing trades and re-evaluating your variables. The bigger your sample, the stronger your conclusions, and the rarer your tweaks become. When you want to test a tweak, isolate it: drop back to Phase 2/3, collect data on that one change, run it through Phase 4, and confirm before adopting.

Scaling

Grow the account — typically by obtaining funding. The "final" phase, but not the end of the journey; as your data set grows you keep looping back. And growth doesn't require change: if the plan works and delivers what you expect, keep doing what works.

Be honest about what it took to get here. Most people skip these phases, jump straight to funding, fail, and move to the next group chasing a holy grail. If you've followed the process, that's not you — and you're ready to work toward funding.

Readiness for funding

How funding works (and the cautions)

Funded accounts are typically demo accounts linked to the firm's real capital (to sidestep regulatory issues), accessed by passing a challenge / verification process. Every firm has strict rules — profit targets, max drawdown, daily loss limits, consistency rules, minimum trading days — so read them carefully before you start; the rules, not the strategy, are what most people fail.

• Run 1–3 trial accounts and try to pass them before committing real challenge fees — funding raises the emotional stakes, so confirm you're ready. (Exactly why we front-load data and analysis: to remove emotional friction.)
• Passing is the easy part; keeping the account funded is harder — and both come down to the same thing: stick to the plan and keep doing what got you here (EODs, data, review, improvement).
• The prop-firm landscape changes constantly — firms launch, change rules, and shut down (some that older versions of this roadmap named no longer operate). Verify current providers, rules, and standing yourself before funding anything. Compare profit targets, drawdown type (static vs trailing), payout terms, and allowed instruments/sessions against how you actually trade.
• Funding is a starting point, not the end goal. Other routes exist (third-party / investor funding) but require networking and a track record. The real end goal is building your own account.

The Roadmap Is a Loop

The Phantom roadmap is not the only path to consistency — but it's the path the Phantom team walked to get where they are.

You never really "finish" a phase. The loop that keeps your edge sharp is driven by reps and data, not by re-watching content: practising and forward-testing (Phase 2), collecting data through EODs and journals (Phase 3), re-analysing what it tells you (Phase 4), then tweaking (Phase 5) and re-evaluating (Phase 6) the plan — all while you trade (Phase 7) and scale (Phase 8). You'll revisit the underlying concepts (Phase 1) whenever you need to, but the engine is your daily practice and the data it produces. It's experience- and time-centric, and it evolves as you do. Follow each phase closely, build a strong data-driven trading plan, and elevate your trading progression. The confidence this process builds — because it's your data, your reps, your plan — is the entire point.

Quick Content Cross-Reference

Which PTM content powers each stage of the journey.

The Canon Rules That Anchor the Journey

The non-negotiables behind every stage above.

• Information vs confirmation. Wicks take liquidity; bodies change structure.
• Two objective order-flow-shift triggers only: LPOD breaks → first opposing zone it creates holds (FLOR); or first reaction fails → new zone respected. Nothing else counts.
• Targets come before the POI and the entry. A level is weak/target only after order flow takes control toward it. A taken target is a finished idea.
• Six valid POI types: Flip, Liquidity POI, Chain, Extreme/Decisional, Structural, LPOD/LPOS. "Looks like supply" is not a zone type.
• The 1m entry model is confirmation, not the trade: Mitigation → Liquidity → Sweep → Trigger → Execution. No pivot/sweep/trigger = no trade.
• Singles when pro order flow; doubles when not (unconfirmed shift, first zone after a shift, counter-HTF, opposing respect).
• Never sell the bounce. Be in before the LPOD, or wait for the break.
• Stops keep you in the trade, not improve RR: beyond swept liquidity + a generous buffer = the invalidation point. BE at the perfect-model 2R; pay yourself at ~3R; never round-trip big R.
• Grade every trade: High Probability / Valid / Invalid. Majority High Probability; 2–3 in 10 Valid.
• Take every valid setup, the same way, every time — and let the data, not any one trade, be the judge.