inmind CAPITAL
We are selectively partnering with one strategic investor
to launch the next chapter of Turtle Trading.
We are selectively partnering with one strategic investor
to launch the next chapter of Turtle Trading.
In 1983, Richard Dennis made a bet that changed Wall Street. He believed anyone could be taught to trade profitably with a simple set of rules. His Turtle Traders went on to generate $175 million in profits — proving that systematic discipline beats market intuition.
Four decades later, inmind capital takes this legacy further. We don’t just give traders rules — we measure the mind behind the decision to know when those rules should be followed. The Turtle Traders proved that rules create returns. We proved that understanding when to follow them multiplies the edge.
We are not raising a fund round. We are seeking one strategic partner — a family office or wealth manager who understands that the best opportunities are found where convention ends. This is a founding partnership with preferred economics, full structural flexibility, and direct access to the founding team.
> 12 %
Performance per MONTH
300+
Executed Trades
< 4 %
Draw Down (averaged)
24/7
Market activity
Handling various investment vehicels for clients
EU, UK
Closed structures with an interest in alternative investment
Worldwide
Markets are more unpredictable than ever. Geopolitical risk is rising. Traditional diversification is failing.
inmind capital was built for exactly this environment — a system that delivers consistent returns regardless of what happens in the world. The question is not whether you can afford to invest. It’s whether you can afford not to explore it.
One decision. One system. One outcome.
Traders make a single binary call. Everything else — execution, risk management, recovery — is handled by the system. Asset-specific parameters, mathematically bounded risk, and normalized returns per trade. The result: performance that is completely independent of market direction.
structured in phases to minimize risk and maximize confidence.
Phase 1: €150K platform build + €250K test capital
Phase 2: Full €1.5M deployment with 10–20 tested traders. No blind commitment. Capital scales with results.
This is not an off-the-shelf fund product. It’s a bespoke partnership designed around your requirements, a founding partnership with preferred economics, full structural flexibility, and direct access to the founding team.
Investor capital remains in a segregated brokerage account at all times. inmind capital operates exclusively via API — no capital transfer required. Fully transparent, independently verifiable, and structured for institutional-grade trust.
€1.5M | One Partner | Three Phases
Your capital stays in your account. Our system proves itself before full deployment. The founder co-invests through deferred compensation.
This is not a pitch for capital. It’s an invitation to build something together.
Dynamic
0,26 %
yearly performance: +124% / max Drawdown: -8,4%
Est. capital gains before sharing
€8.5 Mio.
Balanced
0,23 %
yearly performance: +102% / max Drawdown: -6,8%
Est. capital gains before sharing
€6.3 Mio.
Grounded
0,20 %
yearly performance: +88% / max Drawdown: -3,8%
Est. capital gains before sharing
€4.7 Mio.
Looking for an uncorrelated return stream for your client portfolios?
inmind capital offers a verified >12% monthly return with zero market correlation — a true absolute return vehicle that diversifies beyond traditional asset classes, hedge funds, and private equity.
Independently verifiable. Fully transparent. Structured for institutional due diligence.
MSc in Physics and Mathematics, entrepreneur and researcher. More then 10 years of active trading with experience in manual and algorithmic systems
10 years of expirence in developing SaaS and fintech products. Linux based system optimization and building scalable high-performance architectures
More then 20 years of expierence in server administration, back-end maintainance and Cybersecurity. Survival expert in digital and natural space
Financial engineer with quantitative experience in portfolio analytics, derivatives strategies and risk modeling. Expertise in building data-driven models