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Our investment program is focused on following 4 major financial markets: G10 currencies, commodities, equity indices and global shares and bonds.
G10 currencies, commodities and equity indices are being managed under automatic trading fund. In order to control the risk of unusual price fluctuations, we have different weightings for different financial markets.
MARKET | WEIGHT | DESCRIPTION | CORE STRATEGY |
|---|---|---|---|
Stock Index | 10% | Nasdaq, Geely, FTSE 100 | Intraday Breakout |
Commodities | 20% | U.S. Crude Oil, Gold, Silver | Medium-term trends |
G10 Currency | 70% | The 10 most liquid currencies | High Frequency Algorithm |
Why Should You Choose Us ?
High Frequency
Algorithmic Model
Trading the G10 currency, this model runs 24 hours per working day and handles a wide range of trading strategies, delivering consistent small returns on a daily basis.
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In order to eliminate as much risk as possible, the core algorithm is regularly revised by a team of professionals based on an in-depth study of market volatility and political winds. With an average of over 20 trades per day, the high frequency algorithmic model operates 70% of the capital for the stability of the G10 currency.
Stocks
& Bonds
Based on client’s risk preference and disposable liquidity, we provide suitable manager for one-to-one account management, including valuation, investment cycle developing and decision making, to each client.
Medium Term
Trend
Used to trade the most liquid commodities such as US crude oil, gold and silver. The focus of the model is to identify each medium-term turning point in the price trend and place an order on each occasion. By applying a hedging strategy, on average, each successful forecast can yield a return of 2.4 times more than a wrong forecast. To avoid short-term volatility risk, 20% of the capital is allocated to commodities in the trend model.
Intraday Breakout
Model
Used to trade the most liquid commodities such as US crude oil, gold and silver. The focus of the model is to identify each medium-term turning point in the price trend and place an order on each occasion. By applying a hedging strategy, on average, each successful forecast can yield a return of 2.4 times more than a wrong forecast. To avoid short-term volatility risk, 20% of the capital is allocated to commodities in the trend model.