Take Profit Trader (TPT) is a U.S.-based futures prop trading firm with more than 90,000 active traders that offers funded trading accounts, with traders passing a one-step evaluation before accessing capital. TPT supports over 15 trading platforms and processes payouts daily, with profit splits of up to 90%. The firm serves a global user base and works exclusively with brokers regulated by the National Futures Association (NFA) and the Commodity Futures Trading Commission (CFTC).
The Challenge
TPT’s biggest fraud risk was multi-accounting. The prop trading model creates a natural incentive for abuse; if one funded account is profitable, running dozens or hundreds under different identities multiplies the return. Some users were doing exactly that, creating large networks of accounts designed to look unrelated on the surface, with different names, different emails and different registration details. Without visibility into what was happening at the device and network level, these operations stayed hidden.
TPT also needed to enforce geographic restrictions. Regulatory obligations limit trading activity in certain jurisdictions, and while IP-based checks offered a starting point, they were easy to get around with VPNs and proxies. Reliable location enforcement required deeper signals.
As its user base grew, the manual effort required to investigate suspicious accounts, enforce restrictions and maintain consistent decisions was becoming unsustainable. The team needed a way to surface hidden connections, act on them faster and eventually automate enforcement at the point of registration.
“The lines between finance, gambling, crypto and trading are blurring. We need to know who we’re doing business with so we have a clear paper trail for regulators and, more specifically, for our trading exchanges.”
James Sixsmith
CEO, Take Profit Trader
What Changed
TPT selected SEON for its device fingerprinting depth, its flexibility across rule configuration and the ability to integrate directly into registration and account workflows through a single API.
Uncovering hidden account networks
Device fingerprinting gave TPT visibility it previously lacked. SEON identified several significant networks that had been operating undetected, each managing a large number of accounts. In some cases, investigations revealed coordinated operations involving thousands of accounts that looked completely independent based on registration data alone.
SEON also surfaced a considerable number of smaller clusters through device-level connections. Accounts that appeared unrelated turned out to share devices, network signals or behavioral patterns that tied them together. Many of these have already been blocked.
“When we started using SEON, we set out to do our due diligence on the front end. What we quickly realized was that there were fraudulent user rings easily getting past standard KYC. For example, 100 users on the same device, which is against our company rules and, in certain cases, against trading regulations.”
James Sixsmith, CEO, Take Profit Trader
Stronger geolocation enforcement
Rather than relying solely on IP addresses, SEON combined IP data with device-level signals captured through fingerprinting. This gave TPT a more accurate picture of where users were actually connecting from, making it harder for someone in a restricted jurisdiction to mask their location with a VPN or proxy.
Hands-on investigation and rule building
SEON and TPT run regular investigation sessions together, where they surface and analyze fraud rings, connected accounts and mass registrations. When a pattern is identified, the team designs rules to catch it going forward. The work covers both reactive investigations, addressing fraud that is already happening, and proactive detection, looking at broader signals and suspicious patterns before they become a problem.
Multi-accounting rules use shared device signals and network-level connections to identify coordinated activity at scale. Geolocation rules draw on both IP data and device fingerprinting, with conditions built to account for legitimate triggers such as corporate VPNs or mobile carrier IP routing.
Every rule goes through a backtesting process against historical data before going live, so the team can assess the expected impact on both fraud detection and false positive rates. Once TPT’s feedback loop is fully active, backtesting will run on a regular cycle to make sure every decision is grounded in data.
Scaling toward full automation
SEON’s Managed Risk Services (MRS) team works closely with TPT through regular syncs covering decisions, planning and roadmap. Together, they have designed the integration across every user touchpoint where fraud checks run, defined what data to send at each stage and determined where and how decisions are made.
SEON’s Label API tracks the accuracy of every decision and feeds it back into the system, so the rules continuously improve. TPT tracks how well its rules perform and fine-tunes them on an ongoing basis, catching more fraud while keeping friction low for legitimate traders.
As live decisioning expands to cover registration, much of the blocking that currently requires manual action will happen automatically through SEON’s decisioning engine, further reducing the team’s workload and speeding up enforcement across the platform.
Results
The financial impact was immediate. SEON’s data helped TPT identify and block account networks that made up approximately five percent of their total user base, causing major damage to TPT’s profitability Device fingerprinting has given the team a level of visibility into coordinated abuse that it did not have before. Geolocation enforcement is now based on deeper signals, making it harder for users in restricted jurisdictions to bypass controls.
The platform is progressively automating decisioning at registration, reducing manual review time and allowing the team to scale fraud enforcement alongside business growth. Rules are backtested before deployment and continuously refined through the feedback loop.
Conclusion
Take Profit Trader came to SEON with a problem common across prop trading: coordinated multi-accounting that was invisible to traditional checks. Device fingerprinting changed what the team could see, surfacing hidden networks and giving them the foundation to act. As TPT expands automated decisioning at registration, SEON is becoming the layer that connects fraud detection, geolocation enforcement and account integrity across the platform.
“We’re in an industry on the cutting edge and we value that SEON provides digital fingerprinting that lives on that same cutting edge. Without SEON, it’s nonstop cat and mouse. With SEON, we’re on our front foot. We give them a rule and they enforce it immediately. The bad actors never gain entry.”
James Sixsmith, CEO, Take Profit Trader
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