Quant Approach in Trading
“Never forget the six-foot-tall man who drowned crossing the river that was five feet deep on average.”
- Howard Marks
In the highly volatile FX market, our principle is capital protection and the method to achieve risk aversion is via quantitative risk control while simultaneously identifying asymmetry opportunities in the market (market temporary mispricings)
We uses a statistical mean reversion strategy in trading the Currencies market and using AI to perform post trade analysis.
The trades will be automatically executed on your IC Markets and VT Markets Account . We do not hold any of your funds as your funds will be with the brokerage (IC Markets or VT Markets).
Our Value Proposition is to deliver consistent monthly profit overtime that is non correlated to the wider market. This will enable you to hedge your risk against other major asset classes. Our verified live Annual results are below.
Verified Live Performance
Current AUM
528,700 USD
78
Clients
43,300 USD
Ave. Per month profit for clients
Be Our Next 100 Clients
The expected return is about 3-5 % return per month, however, there will be drawdown occasionally , the objective of this investment is to beat S&P500 (so far we are beating it) . This is not a get rich quick scheme. This is a slow consistent risk adjusted return strategy.
We are now charging a 40% performance fees (on High Water Mark) for delivering high quality and consistent result.
Still not convinced and want to understand more? Hit us up here and we shall connect!
About us
We are an APAC investment and technology development firm. We trade using data, mathematics statistics with risk aversion as key philosophy.
World first cloud base Neo Hedge Fund for retail traders (B2C)
We act as your personal hedge fund to hedge your risk for the long term.
FAQ
If your algo is making money, why don’t you invest using your own money?
We did invest our own money, but we thought that since we are able to automate this to fellow traders, why not we open up to fellow traders who are curious about algo trading and would like to pick this skills up.
Warren Buffet annualised return is about 20% per year, can you beat that?
What is your trading strategy?
We use a mixture of Momentum and Mean Reversion Strategy, and something call Hidden Markov Model, we also use Kelly Criterion for Sizing and PCA to model correlations.