Before you start
What this module changes in your trading process.
You can read a rule page and identify the market model, profit target, daily loss, max loss, trailing logic, and payout conditions.
Understand prop-style evaluations before buying an account: CFD vs futures, account phases, daily loss, maximum loss, and trailing drawdown.
Module outline
Before you start
You can read a rule page and identify the market model, profit target, daily loss, max loss, trailing logic, and payout conditions.
Lesson 1
Separate CFD evaluations from exchange-traded futures evaluations.
CFD programs usually speak in lots, pips, spread, leverage, daily loss, maximum loss, and funded account rules. Futures programs speak in contracts, tick value, point value, max contracts, and static or trailing thresholds.
The same trader can fail both paths for different reasons. In CFD accounts the common mistake is ignoring equity-based daily loss. In futures accounts the common mistake is ignoring tick value and trailing threshold behavior.
The goal is not to choose a brand from hype. The goal is to understand the mechanics well enough to decide whether the rule set fits your trading style.
Example
A trader risking 1% per trade on a CFD account with 3% daily loss has only three full losses before the day must stop. A futures trader using too many contracts can hit a trailing threshold even after being in profit.
Key points
Practice checkpoint
Open any prop firm rule page. Write the market model, profit target, daily loss, maximum loss, and whether drawdown trails.
Before continuing
Lesson 2
Know which rules apply at each account stage.
Prop programs often separate evaluation rules from funded or performance rules. Passing the challenge is not the same as becoming payout-safe.
One-step models can be faster but mathematically tighter. Two-step models add a confirmation phase. Instant or direct models may remove evaluation friction but usually add stricter payout or consistency rules.
The professional habit is to create a rule card for every stage: pass rules, funded rules, payout rules, and scaling rules.
Example
A trader passes phase one with one large win, then fails phase two because the process cannot repeat cleanly. The issue was not market knowledge; it was depending on one oversized day.
Key points
Practice checkpoint
Create a four-row table: evaluation, verification, funded, payout. Fill in the rules that matter for each stage.
Before continuing
Lesson 3
Decide whether a challenge matches your system before paying for it.
A scalper, swing trader, news trader, and futures intraday trader need different rule conditions. A cheap account can be expensive if the rules fight your normal process.
Before buying anything, compare your average stop distance, holding time, trade frequency, news behavior, and loss-streak profile against the rule set.
If the account needs behavior you have never demonstrated in a journal, treat it as training first, not income planning.
Example
A trader who holds through high-impact events should not buy a program that bans news exposure unless they first rebuild the strategy around flat periods.
Key points
Practice checkpoint
Write your strategy profile: market, average stop, holding time, max losing streak, news exposure, and normal risk per trade.
Before continuing
Fieldwork
Build a one-page rule card for one CFD program and one futures program. Do not include brand opinions; only mechanics.
Glossary
Checkpoint quiz
Quiz results can add XP when you are signed in.
Progress action
Marking complete saves the module, updates streak activity, and awards XP only once per module.
Previous module
Turn trading results into data: expectancy, sample size, variance, process score, and written risk policy rules you can review every week.
Next module
Learn how CFD-style prop evaluations are structured: one-step, two-step, instant models, daily loss, max loss, equity rules, and payout readiness.
Risk note: Metavulus learning content is for education and market preparation only. It is not financial advice, investment advice, or a trading recommendation.