Legal & Compliance
We want every client to have a realistic understanding of what algorithmic trading involves before they invest. This page is not legal small print — it is a straightforward explanation of how performance works, what to expect, and what not to expect.
Algorithmic trading is not a fixed-return product. There is no guaranteed monthly profit, no promised annual return, and no mechanism that makes every month positive. Our strategies are designed to generate returns over time, but individual months will vary — some will be profitable, some will be flat, and some will be negative.
If you are looking for a product that pays a fixed return every month without risk, algorithmic trading is not the right product for you.
When we refer to a target annual return of +30%, this is a performance objective based on historical strategy data and forward-looking modelling. It is not a promise, a guarantee, or a contractual obligation. Actual returns in any given year may be higher, lower, or negative.
Performance fees are only charged when your account reaches a new peak value above the previous high water mark. This means: if your account loses value in a given period, you pay no performance fee until those losses are fully recovered and the account reaches a new all-time high.
This structure aligns our interests with yours — we only earn when you earn.
Drawdown refers to a decline in account value from a recent peak. All trading strategies experience drawdown — it is a normal and expected part of algorithmic trading, not a sign that something has gone wrong. What matters is how drawdown is managed and recovered.
Our strategies include a hard stop loss mechanism at approximately 25% drawdown at the account level, monitored by London & Eastern LLP, to limit the maximum loss in any given period. This does not eliminate risk but provides a defined outer boundary.
Do not evaluate algorithmic trading performance on a single month. Markets go through cycles — trending periods, ranging periods, and periods of high volatility — and different conditions affect different strategies differently. Performance should be evaluated over a minimum of 6 to 12 months to get a meaningful picture.
Any performance data we share — whether from backtesting, live trading history, or example scenarios — reflects what happened in specific market conditions during a specific period. Those conditions will not repeat identically. Past performance is not a reliable indicator of future results.
If anything on this page is unclear, or you want to discuss how our strategies work before making a decision, book a discovery call. We would rather answer your questions now than have a misunderstanding later.