The traditional prop firm model has a problem most firms won't admit: many of them profit when you lose. They sit on the other side of your trades, creating a structural conflict of interest that explains a lot of the behavior traders find frustrating.
Strict rules with hidden traps. Trailing drawdowns that tighten when you're winning. Payout requests that mysteriously drag. These aren't arbitrary annoyances. They're symptoms of a model where the firm's interests and yours point in opposite directions.
Velotrade uses institutional hedging. The difference matters. Here's what it means and why it changes the dynamic entirely.
The Two Prop Firm Business Models
| Feature | B-Book Model | Institutional Hedging |
|---|---|---|
| How the firm profits | From trader losses | From your trading volume |
| Conflict of interest | High: firm wins when you lose | None: firm wins when you win |
| Rule design incentive | Rules that cause failures | Rules designed for longevity |
| Transparency | Often opaque | Aligned with clarity |
| Challenge fee dependency | High (evaluation fees are the main revenue) | Lower (ongoing trading generates revenue) |
| Trader success = firm success | No | Yes |
The Problem with Traditional Prop Firm Models
Most retail prop firms operate on a simple premise: collect evaluation fees from thousands of traders, knowing that the vast majority will fail. The few who succeed get paid from a pool of evaluation fees, with the firm pocketing the difference.
This is sometimes called the "B-book" model, borrowed from retail forex brokerage. The firm takes the other side of your trades rather than routing them to the market. When you win, the firm loses. When you lose, the firm wins.
Even among firms that don't outright trade against you, many are structured so that payout obligations are funded primarily by other traders' evaluation fees. The business model depends on failure rates staying high. There's no structural incentive to help traders succeed.
This adversarial dynamic explains a great deal. It explains why some firms have consistency rules designed to cap your best days. It explains trailing drawdown structures that tighten on profitable accounts. It explains slow payout processes that hope you'll breach before you collect. Not every firm operates this way deliberately, but the B-book structure creates pressure in that direction regardless of intent.
How Institutional Hedging Works
Institutional hedging is a risk management technique used by banks, hedge funds, and large financial institutions. Instead of taking directional bets or trading against clients, institutions use hedging to generate consistent, low-risk returns regardless of market direction.
Here's how it works at Velotrade: when you take a position, our system doesn't bet against you. Instead, we use institutional liquidity bridges to hedge your exposure in real-time across multiple venues. We earn the spread and optimize execution while neutralizing directional risk. We profit from your trading activity, not from your trading losses.
Your consistent, disciplined trading generates volume. Volume, combined with smart drawdown management on our side, is something we can hedge efficiently across institutional counterparties. The better you perform and the longer you trade profitably, the more value you generate for both sides of the relationship.
This is not a unique concept in finance. Prime brokers, market makers, and institutional trading desks use hedging models constantly. What's unusual is applying it to retail prop trading, where the simpler B-book model has historically dominated.
Why This Aligns Our Interests Perfectly
Want to see what trader-aligned rules actually look like? View Velotrade's challenge options →
With institutional hedging, Velotrade makes money when you make money. Your success directly translates to our success.
We want you to succeed because successful traders generate consistent volume. We want you to manage risk well because disciplined, controlled trading is easier and more profitable to hedge. We want you to trade long-term because sustained relationships are more valuable than one-time evaluation fees.
This alignment is why our rules are structured the way they are. We don't need hidden consistency requirements or trailing drawdowns to protect ourselves. Our hedging model is designed for trader success. Complexity in the rules would reduce trading volume. Traps that cause failures would shrink our base of active funded traders.
Transparency is in our interest. Clear rules lead to better risk management by traders, which produces more predictable volume, which is easier to hedge. When you win, we win. The simplest version of the incentive is also the truest one.
The Real Cost of the Conflict-of-Interest Model
It's worth being specific about what the B-book model actually costs traders, because it's not just a philosophical objection.
Tick-by-tick trailing drawdown. Many prop firms trail the drawdown floor against every intraday equity peak. If your account spikes to a new high mid-session and then pulls back, the floor has already moved up. A normal pullback from that intraday high breaches the account even though you're still profitable on the day. That model protects the firm's downside, not yours.
Consistency rules. Capping how much any single trading day contributes to your evaluation profit sounds fair until you realize it specifically penalizes traders whose style produces occasional strong days: news traders, momentum traders, high-conviction swing traders. These rules don't exist because they reflect better trading. They exist because they make challenges harder to pass.
Payout friction. Some firms create multi-step verification processes, mandatory waiting periods, and arbitrary review stages for payouts. In a model where payouts reduce firm profits, there's an incentive to introduce friction. In a hedging model, payouts are expected costs of a functioning relationship.
The Infrastructure Behind Institutional Hedging
Institutional hedging isn't something you can bolt onto a traditional prop firm model. It requires significant infrastructure: direct relationships with institutional liquidity providers, sophisticated hedging algorithms, real-time risk management systems, and substantial operational capital.
This is where Velotrade's founding team background is relevant. The founders come from institutional finance backgrounds, including experience at banks and financial institutions where these relationships and systems are standard tools. We have the connections and operational knowledge to implement genuine institutional hedging, not just a marketing claim.
Our hedging systems analyze your positions in real-time, execute hedges across multiple venues to optimize spreads, monitor portfolio-level risk across all active funded traders, and adjust dynamically as market conditions change. This infrastructure is what enables us to offer up to $200,000 in trading capital while maintaining the risk profile of an institutional operation.
What This Means for Your Challenge Rules
The hedging model isn't just a backend detail. It directly shapes the rules you trade under.
EOD trailing drawdown. We use a High Water Mark model calculated at end-of-day only. Your drawdown floor moves up when you close a day at a new equity high — never intraday. If you spike during a session but close lower, the floor doesn't move. As your account grows, your dollar room grows with it. See the full crypto prop firm rules explained for details.
No consistency rule. We don't need to cap your best days. Consistent volume is valuable. Variable volume from occasional strong sessions is still volume. There's no hedging reason to penalize high-conviction days.
News trading allowed. Our risk systems are built to handle positions during scheduled macro events. We don't need blanket bans to protect the book.
Up to 90% profit split. Our revenue comes from trading activity, not from taking a large cut of trader profits. We can afford to pay higher splits because the business model doesn't depend on keeping trader earnings low.
For a side-by-side look at how Velotrade's rules compare to other firms in the space, see best crypto prop firms 2026. The no consistency rule is one of the clearest outputs of this model — see crypto prop firms with no consistency rule for a full breakdown. And if you want to understand why most traders fail funded challenges, see why traders fail prop challenges — B-book incentives are a big part of that story.
Ready to trade with a firm whose success depends on yours? View challenge options →
This article is for informational purposes only and does not constitute financial or investment advice.
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About the author
Vittorio De Angelis
Executive Chairman
Former equity-derivatives trader at JP Morgan, Dresdner Kleinwort and Bank of America in London. Later Head of Brokerage at a global broker in Hong Kong.
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