Thesis
Companies that serve traders need strategies that have been tested properly, and an engine that runs them reliably every day. Both take quant research and low-latency C++ engineering. We do that work once and license it to many companies.
We are paid for technology and IP. We never hold client money, and we do not give investment advice. The engine copies each trade from our master account into the client's own MT5 account. The client's broker executes it and holds the money.
That leaves one real limit on growth: how many ideas we can test each week. The raise is aimed at that limit.
Where a trade goes
QuantFX engine
Runs the strategy on our master account
Licensee
Licenses the engine for its own clients, e.g. Elite Gold Academy
Client's own MT5 account
The trade is copied in; the client keeps full control
Client's regulated broker
Executes the trade
The money stays at the broker, in the client's name.
Group structure
ANAD Holdings
- QUANT-FX LTDEngland and Wales. The engine, the IP and the engineering. The issuer in this round.
- EGA (Elite Gold Academy)A Delaware SaaS company in the same ANAD Holdings group, and one licensee of the engine. A related party of QUANT-FX LTD.
Why compute is the bottleneck
Ideas are prototyped in Python on AWS, and the ones worth keeping are rewritten in C++20 for production. Testing sits between the two, and it is where the weeks go. A strategy is only worth running once it has passed walk-forward, out-of-sample and Monte Carlo tests, with costs and slippage modelled in every run.
Backtests are independent of each other, so the queue splits across machines and wall-clock time falls almost in line with the number of workers. In quant research, money is time: the queue below takes about 28 days on one worker and about 10.4 hours on 64.
Illustrative
2,000 backtests × 20 min = 40,000 compute-minutes
1 worker, one test after another
40,000 min / 1
~28 days
64 workers in parallel
40,000 min / 64 = 625 min
~10.4 hours
In practice that means more hypotheses tested each week. Licensees get new strategies sooner, and re-validated ones after a regime change.
The ask
$200K
An indicative seed into QUANT-FX LTD, for compute and hardware. None of it is trading capital.
- Instrument
- SAFE or priced equity
- Terms
- Valuation, cap and terms on request, documented in definitive agreements with eligible investors.
- Issuer
- QUANT-FX LTD, registered in England and Wales.
Use of funds
| Indicative allocation | Share of the round | Amount | Share |
|---|---|---|---|
| Parallel backtesting clusterHigh-core servers, GPUs and fast storage for the test queue | $90K | 45% | |
| Low-latency execution hardwareServers, network cards and cross-connects | $50K | 25% | |
| Research data and cloud burstTick data, plus AWS capacity for peak parameter sweeps | $30K | 15% | |
| Monitoring, tooling and reliabilityPrometheus, Grafana, redundancy | $15K | 7.5% | |
| Legal, IP and entityQUANT-FX LTD, IP assignment, licensing agreements | $15K | 7.5% | |
| Total | $200K | 100% |
Revenue model
Three lines of revenue, all of them for technology and engineering.
Engine licensing
Companies pay a recurring fee to run our engine for their own clients.
White-label infrastructure
We build bespoke strategies and copy engines for a company and run them on its behalf, including monitoring. Also a recurring fee.
Custom quant development
Companies bring us their quant or C++ projects and pay per project.
Revenue grows with the number of licensees and with how many strategies we can take through testing, which is the part this raise speeds up.
Proof
Two things back this raise: an engine with a recorded track record, and a founder with a decade in live markets.
Engine track record
The engine we license trades our own master strategy account. The equity curve and every month are on the track record page.
- Account growth
- +1,454.6%
- Net P&L
- $56.7M
- Average monthly profit (% of $3.9M start, 2025)
- +85.3%
- Profit factor
- 1.20
Recorded trade by trade in MT5; shown here as month-end figures. The account runs on a broker demo (practical) environment with live pricing. Balances are not withdrawable and are not client funds. Past performance does not guarantee future results.
View the track recordFounder
Aaron Corky J, Founder and Quant Engineer. He owns the strategy code from the first research idea to the production C++.
- Markets
- A decade of live-markets experience
- Trading
- Funded-trader track record across four proprietary trading firms
- Study
- Finance and Quantitative Modeling, Wharton Online, University of Pennsylvania
- Network Design, Cisco
- Diploma in Strategic Management, IBMI
- Engineering
- C++17/20, lock-free concurrency, FIX connectivity, tick-to-trade optimisation
Data room
The deck gives the overview. The data room holds the documents behind it, and access is on request.
- Corporate documents for QUANT-FX LTD
- Technical architecture overview
- Backtest and validation reports
- View-only access to the engine track record
- Licensing agreement templates
- IP ownership documentation
Questions
Important information
This page is for information only. It is not an offer or solicitation to buy or sell securities, and it is not investment advice. Any investment will be made only through definitive documents with eligible investors, in accordance with applicable law.
The raise size and use of funds are indicative. The compute comparison is illustrative arithmetic rather than a measured benchmark. Plans and forward-looking statements may not be achieved.
QUANT-FX LTD is a technology and IP-licensing company, not a regulated financial firm, and never holds client funds. Track record figures come from our own master strategy account on a broker demo environment; balances are not withdrawable and are not client funds. Past performance does not guarantee future results. Trading involves substantial risk of loss.