Know how they trade. Not just what they made.
Every account gets a rich behavioral profile computed by replaying its full event and trade history. Risk staff and traders alike understand the account at a glance, before funding decisions, not after.
Built for prop firms, trading businesses and account managers.
What you get. In detail.
Win rate & payoff
Win rate with average win / average loss, reward-to-risk ratio, and profit factor: the numbers that separate a lucky account from a skilled one.
Style classification
Average hold time classified into scalping, day, or swing trading, so you know the style, not just the stats, and can match it against your program rules.
Max floating risk
Worst-case open exposure as a percentage of starting balance: the risk that closed-trade P&L hides. An account can look profitable while routinely floating 30% underwater.
Streaks & extremes
Biggest day, trades per active day, and maximum consecutive losses: the tail behavior that predicts blowups.
Market & session mix
Symbols traded, crypto share of positions, trading-session concentration, and desktop/mobile platform mix.
No extra data collection
Everything is computed from the event history already flowing in through MT monitoring: no cloud changes, no portal changes, no trader action required.
Same profit. Different trader. Entirely.
Same outcome
Both accounts finished +$8,400 on a 100K challenge. On a P&L report (which is all most platforms show you) these two traders are identical, and both look ready for funding.
The metrics that split them
Account #2891’s 71% win rate hides a 1.1 profit factor, 40-second holds, and 31% max floating risk: the signature of small wins taken fast and losses held underwater until they recover. Or don’t. #2214 earned the same money with steady day trades and 6% worst-case exposure.
Which one you fund
One account gets capital; the other gets a closer look, program limits, or a conversation, before the payout, not after the blowup. The decision takes a minute because the evidence is already assembled.
Why firms switch. And what changes.
P&L is a result. Behavior is a predictor.
Two accounts can show the same profit with completely different risk underneath: one earned it on steady day trades, the other on a martingale that floated 30% underwater and got lucky. Funding decisions made on outcomes alone systematically fund the second trader, and the blowup arrives after the capital does.
How profiles are computed
Fxward replays each account’s complete event and trade history to derive the numbers that describe how the account actually trades: win rate with payoff ratio and profit factor, hold-time style classification (scalping, day, swing), session concentration, symbol and crypto mix, platform habits, maximum floating risk, and worst losing streak. The profile updates as new trades arrive, and nothing is asked of the trader.
What changes for your firm
Funding and payout decisions get an evidence layer: the same consistent profile for every account, comparable across the book. Style breaches against program rules become visible early, risk conversations with traders happen with shared numbers, and “we didn’t know they traded like that” disappears from your vocabulary.
P&L review vs. behavior profiles. What you actually learn.
Basis
Net profit: the outcome, with no view of how it was made.
How the money was made: style, risk taken, sessions, streaks, worst-case exposure.
Comparability
Gut feel and anecdotes: every account judged by whoever happened to look.
Identical metrics for every account, comparable across the whole book.
Timing
The dangerous trader is discovered after the blowup, with your capital involved.
Visible before the funding decision, from the account’s recorded history.
Effort
An analyst reading trade history account by account, when there’s time.
Already computed and current for every account; reading it takes a minute.
Common questions. Straight answers.
By replaying the account’s complete event and trade history that streams in through MT4/MT5 monitoring. Win rate, profit factor, hold-time style, session concentration, max floating risk, and losing streaks are all derived from real recorded trades. Nothing is self-reported and no extra data collection is needed.