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AKJ offers a suite of sophisticated, high performance quantitative trading strategies for traders and hedge fund managers, all designed to help you achieve consistent absolute returns and protect your capital while obtaining lower volatility performance returns.
Modular Proprietary Strategies
All our quantitative models are constructed around our core proprietary indicators, which analyze cycles, direction, momentum and realtime tick data on an individual instrument and market level. This modular approach helps us devise successful strategies across multiple asset classes and time frames.
We provide research that covers equities, FX and commodities globally over time frames as short as intraday to longer term cyclical strategies. Whether you're a short term proprietary trader or a longer term investor, our strategies are flexible so you can enhance or diversify your portfolio accordingly.
Optimization and Backtesting
All our models are back-tested and their parameters are optimized using sophisticated methods that simulate the most realistic conditions possible. The feasibility of each model in different markets and time frames is taken into consideration, biases of assumed execution prices are removed, and realistic trading costs are incorporated. We continually perform rigorous and critical statistical analysis of the results, and only the most successful models are put into production.
Comprehensive Execution and Risk Management Components
In order to minimize market impact and maximize execution prices, execution is managed with separate entry and exit strategies formulated using data and volatility patterns from real-time and historic sources. Our risk management module ensures the efficient allocation of the maximum amount of capital to your chosen trades and strategies.
For more information on AKJ's quantitative trading strategies, download the PDF file in the sidebar above, or ask your AKJ Representative to set you up in a virtual trading room for a 3-week trial so you can explore how it all works in detail and gauge its performance in real-time.