Automate your investment success with Algorithmic Trading
Who We Are
With over seven years of expertise in algorithmic trading and a deep understanding of the Forex and Stock market, our team of seasoned professionals is dedicated to developing high-performance Algorithmic Strategy that deliver consistent results. We combine cutting-edge technology with rigorous testing to ensure our products are optimized for success, empowering traders of all levels to navigate the complexities of the market with confidence.
100
+Over 100 studies for deep market insights and robust strategies.
10
+10+ frameworks ensure rigorous testing and reliable algorithm performance.
7
+7+ years of expertise in developing and delivering quantitative trading solutions.
We Provide
Algorithmic Trading, Research, Private Fund and Consulting.
Our Process
our methodical approach in algorithmic trading, focusing on strategy development, market analysis, testing, and performance validation to ensure optimal and consistent outcomes.
- Phase 1 in-sample
Strategy Drafting and Preparation
Define testing scope based on goals - markets, timeframes, strategy ideas. Measure statistical edges initially, limiting parameters to avoid overfitting. Establish criteria to abandon ideas, benchmarked against custom index.
- Phase 1 in-sample
Macro and Market Classification Drafting
Use the tools and insights gained from research and testing in the Data Lab to create a Custom Index appropriate for the investment strategy, in order to determine the Timing of when to hold Equities or when to hold cash, up to selling off the portfolio to wait for suitable market conditions to enter and make profits.
- Phase 1 in-sample
Preliminary Research and Hypothesis Testing
Test the preliminary strategy to determine whether the concept or theory applied follows the hypothesis or not, and it must be based on logical principles and evidence that can be measured. In this part, it will be General Research or research on the topic that needs to understand the market and general strategies.
- Phase 2 in-sample
Add Money Management Methods
Money management is added, utilizing portfolio, position, and system risk controls to capitalize on strong statistical edges and mitigate downside.
- Phase 3 out-of-sample
Robustness and Performance Testing
Identify potential weaknesses, curve-fitting issues, or unrealistic assumptions by stress-testing the strategy with Monte Carlo simulations, accounting for transaction costs, and evaluating its performance on unseen data.
- Phase 3 out-of-sample
Monitor Live Trading
Deploy the strategy in a live trading environment with proper monitoring and controls, and be prepared to adapt or retire it as market conditions evolve.