Trading
Vanderholt Technologies Limited: FinTech for Both Market Types
We build trading software for listed markets and DeFi: momentum engines, machine learning forecasts, derivatives overlays and execution. Signals, risk code and bots are the product. They also sit behind proprietary research and trading.
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Capital markets
Our Services
Prediction and execution for listed venues and DeFi, from momentum research through derivatives risk and automated trading.
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Hedge Fund Solutions
Systems used on hedge fund style books: several prediction methods, derivatives hedges and risk limits in code. Built for desks that trade listed markets and crypto, and for the mandates we run on the same stack.
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Trading Bots
Trading bots run the same prediction stack on listed venues and DeFi. Momentum scores, machine learning features and derivatives limits are applied before an order is sent.
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Financial Products
Derivatives and structured tools that express a forecast under fixed risk bounds. From automated overlays to execution helpers, prediction technology and portfolio construction share one stack.
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Mobile and Web Applications
Mobile and web apps for reading forecasts, checking model versions and sending orders. Built for researchers and traders in listed markets and DeFi.
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SPY and QQQ Options Desk
Two years of 0DTE SPY bull put spreads, then 21 and 45 DTE SPY and QQQ credit spreads and iron condors. The later version is a risk system: delta, gamma, event filters and knowing when not to trade.
Read the desk notes
What two years of SPY premium taught us
0DTE, 21 DTE and 45 DTE are not the same trade. The notes cover strike construction, June 2025 gamma, broker liquidation risk, and why a 90 percent win rate can still lose money.
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Contribute With Us
If you have trading signals worth sharing, talk to us. We may be able to put them to work.
Talk to usQuestions
Q&A
Traders
How Much Can a Professional Trader Earn?
There is no fixed income. Results depend on capital, strategy, risk management, market conditions, costs, leverage and whether the trader can stay disciplined for a long time.
Headline return is a poor scorecard on its own. Look at annualised return, volatility, maximum drawdown, Sharpe or another risk-adjusted measure, the win/loss distribution, exposure, liquidity, and whether the process holds up across regimes. A 30 percent year with violent risk can be worse than a slower book with smaller drawdowns.
At Vanderholt the aim of quantitative trading is not to maximise one winning ticket. It is a repeatable process with controlled risk and positive expected value over a large number of trades. Past performance does not guarantee future results.
How Do I Become a Trader?
A professional seat takes more than learning when to buy or sell. The usual foundation is markets (equities, ETFs, derivatives, fixed income and digital assets), risk (sizing, drawdowns, exposure, capital preservation), statistics and probability, programming (Python is now table stakes), data work, backtesting without overfitting or look-ahead bias, execution (spreads, commissions, slippage, liquidity, order types) and, used carefully, machine learning for selected forecasts, classification and regime detection.
A systematic research path looks like this: idea, data, hypothesis, backtest, validation, risk analysis, paper trading, controlled deployment, then monitoring.
Trading is not the hunt for one perfect indicator. It is a process that can survive when the market changes its mind.
Can I Work as a Remote Trader?
Yes. Much of modern trading, quantitative research and engineering can be done remotely. A remote quantitative trader can reach market data, research, write code, watch books and talk to brokers or exchanges through APIs from almost anywhere with a serious setup.
A laptop and a home connection are not that setup. You want stable high-speed internet, redundancy, secure machines, broker and exchange APIs, cloud or dedicated servers, live monitoring, automated risk controls, strong authentication, encrypted storage, backups and a plan for when something fails.
For latency-sensitive work, the server’s location often matters more than the trader’s. Someone can work remotely while execution sits on a dedicated machine closer to the venue.
We treat remote trading as part of a software environment in which research, execution, risk and monitoring are joined up, not as a person staring at a chart from a café.