QUANTITATIVE (ALGORITHMIC) TRADING

QUANTITATIVE (ALGORITHMIC) TRADING

We spearhead the development of mathematical models based on multivariable calculus, machine learning, numerical & real analyses, probability, differential equations etc using the latest research and novel trading approaches. Our in-house team of researchers, mathematicians, data scientists and quants will help characterize and develop a bespoke, mathematical model based on your specifications and optimizations to any kind of simple or sophisticated trade order.

We develop mathematical models for individual as well as institutional traders looking to transmute their outlined trading strategy executed by human agents into an efficient, reliable 100% automated, algorithmic trading system.

Workflow for the development of mathematical trading models

Characterization of preferred trading strategies (typically via consultation)→Prolific research on outlined trading strategy→development of a workable model→error optimization and iterative testing of model→evaluation of model and subsequent testing→delivery of completed model→revisions if required to further refine model.

We first help identify, outline and fully define your preferred trading strategies, your market approach and risk tolerance levels in a consultation (in person, via phone and/or teleconference meeting). Depending on your specifications and demands, the consultation process can take anywhere from a few hours to a few weeks.

After delineating and characterizing your trading strategy, we copiously refer to primary and secondary research literature to explore implementation options and how to further augment your delineated trading strategy. This process can take anywhere from a few days to several weeks.

After arming ourselves with the requisite research information regarding your trading strategy, we proceed to the development of a workable prototype. The development process can take anywhere from a few days to several months depending on the sophistication of your trading strategy.

After developing a workable prototype, we optimize it for errors and consecutively iterate upon it to further enhance its performance and functionality.

We further evaluate the optimized model and conduct subsequent tests to ensure it functions accordingly and delivers the expected results.

OUR CLIENT BASE

Foreign Exchange (Forex) Traders & Firms
Hedge Funds
Banks
Cryptocurrency Traders & Firms
Venture Capital & Private Equity Firms
High Frequency Trading Firms
Research Institutions

WHY RELY ON AUTOMATED TRADING SYSTEMS?

24/7/365 TRADING CYCLE

Automated Trading Systems provide you with the unparalleled flexibility of having trades placed on your behalf any day and time within the 24-hour cycle. In essence, you’re able to seamlessly take multiple trades in a time span of milliseconds without having to be glued to your trading monitors and terminals. For forex junkies, consider the great benefits of being able to fully participate in the market whilst you’re catching some catching some 40 winks.

TRADE DIVERSIFICATION

Automated Trading Systems also facilitate the execution of various strategies/models and/or the trading of multiple accounts simultaneously. This permits risk spread over multiple financial instruments whilst facilitating arbitrage/hedges against less profitable positions. Consider the great prospects for high frequency traders capable of assuming multiple positions in the market over several trading accounts via the agency of uber sophisticated trading algorithms within lightning speeds!

ELIMINATE EMOTIONAL FOCUSED TRADING

Automated Trading Systems are devoid of emotional trading triggers and strategies. All trade orders are thus executed on a 100% rational strategy and you can be very sure your bespoke automated trading strategy will not be afraid to “pull the trigger” when necessary to maximize your odds of profitability

Speed

The prevalent advantage of automated trading systems is speed. Human reaction times to trades in the market (typically within seconds or sometimes minutes) is inferior to the milli- and sometimes microsecond scale of actions for automated trading systems. Essentially over both the short and long term, automated trading systems are vastly superior compared to human agents in the duration and frequency of entering and exiting multiple positions in the market.

PROFITABLE MACHINE LEARNING MODELS

Thanks to machine learning, viable and profitable algorithmic trading models trained on millions (or billions) of historical data points can be built. On the contrary, most human trading agents do not trade based on tested and trained models and mostly perform mediocre analyses and projections on typically less comprehensive historical data. A machine learning developed, automated training model is much more superior given its unique ability to analyze myriads of historical data and make more viable and profitable trade actions based on data in real time.

trade on the go!

Demos

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