Comprehensive comparison and analysis of quantitative trading strategies. Building algorithmic trading systems, frameworks, and tools for systematic trading—from signal generation to execution and risk management.
Quantitative strategy development & analysis
Comprehensive comparison and analysis of quantitative trading strategies. Evaluate performance metrics, risk-adjusted returns, Sharpe ratios, and drawdowns across multiple strategies to identify optimal approaches for different market conditions.
Design and development of robust algorithmic trading systems. From signal generation and execution algorithms to risk management frameworks—we build end-to-end algo trading solutions that operate across multiple asset classes and timeframes.
Construction of reusable quantitative finance frameworks and architectures. Modular, scalable frameworks for backtesting, portfolio optimization, risk management, and strategy development that accelerate research and deployment cycles.
Development of specialized tools for quantitative analysis and trading. Custom-built tools for data processing, statistical modeling, performance attribution, and real-time market analysis tailored to specific quantitative workflows.
Rigorous backtesting and validation frameworks for quantitative strategies. Historical simulation, walk-forward analysis, and out-of-sample testing to ensure strategies are robust before live deployment.
Advanced analytics and reporting systems for strategy performance evaluation. Real-time dashboards, attribution analysis, and comprehensive reporting tools that provide deep insights into strategy behavior and market interactions.
Backtested quantitative trading strategies
| # | |||||||
|---|---|---|---|---|---|---|---|
| 1 | SMA Crossover | Momentum | 0.55 | +15.9% | -4.8% | +55.7% | 109 |
| 2 | EMA Crossover | Momentum | 0.28 | +12.6% | -4.0% | +64.5% | 118 |
US equity options backtested across expirations (drawdown by cycle)
No options data yet. Run python engine/run_options_pipeline.py to generate results.
Equity curve return correlation
Correlation matrix will appear after running the pipeline (npm run pipeline). The matrix is built from the top 100 strategies by Sharpe ratio, using bar-to-bar returns of equity curves.
Algorithmic trading system architectures
| # | Framework | Description |
|---|---|---|
| 1 | Signal Generation Framework | Modular framework for generating trading signals from multiple data sources. Supports technical indicators, fundamental analysis, machine learning models, and custom signal generators. Includes signal validation, filtering, and combination logic to create robust entry and exit signals. |
| 2 | Execution Engine | High-performance order execution framework with support for multiple broker APIs and exchange connections. Features include order routing, slippage management, fill simulation, and real-time position tracking. Designed for both backtesting and live trading environments. |
| 3 | Risk Management System | Comprehensive risk management framework with position sizing, portfolio-level risk limits, drawdown controls, and real-time risk monitoring. Implements VaR calculations, position concentration limits, and dynamic risk adjustment based on market conditions and strategy performance. |
| 4 | Portfolio Management | Advanced portfolio construction and optimization framework. Supports multiple optimization objectives including Sharpe ratio maximization, risk parity, minimum variance, and custom utility functions. Includes rebalancing logic, transaction cost modeling, and constraint handling. |
| 5 | Data Pipeline & Processing | Scalable data ingestion and processing framework for market data, fundamental data, and alternative data sources. Features real-time data streaming, historical data management, data quality checks, and normalization. Supports multiple data formats and timeframes. |
| 6 | Backtesting Infrastructure | Robust backtesting framework with realistic market simulation, including bid-ask spreads, market impact, and partial fills. Supports walk-forward analysis, Monte Carlo simulation, and out-of-sample testing. Provides detailed performance metrics and attribution analysis. |
| 7 | Strategy Orchestration | Framework for managing multiple strategies simultaneously with resource allocation, priority queuing, and conflict resolution. Includes strategy lifecycle management, performance monitoring, and automated strategy deployment and retirement mechanisms. |
| 8 | Monitoring & Alerting | Real-time monitoring framework for system health, strategy performance, and market conditions. Features customizable alerts, performance dashboards, and automated reporting. Includes anomaly detection and automated response mechanisms for critical events. |
Featured projects
| # | Project | Status | Year | Summary |
|---|
Publications & papers
| # | Title | Journal | Year | Summary |
|---|---|---|---|---|
| 1 | Adaptive Portfolio Optimization Under Non-Stationary Market Conditions | Journal of Quantitative Finance | 2024 | Novel approach to dynamic asset allocation using regime-switching models and reinforcement learning. |
| 2 | High-Frequency Data Processing: Computational Frameworks | Computational Economics | 2024 | Scalable architectures for real-time processing of tick-level financial data. |
| 3 | Robust Risk Measures in Fat-Tailed Distributions | Risk Analysis | 2023 | Comparative study of tail risk metrics under various distributional assumptions. |
Global financial & markets
Bangladesh is inviting Prime Minister Modi and regional leaders to Tarique Rahman's swearing-in ceremony on February 17, PTI reported citing sources.
livemint.com·20 minutes ago
Marco Rubio told Europe at the Munich conference to back a Trump-aligned, conditional alliance focused on border control and reshaping global institutions.
benzinga.com·20 minutes ago
/PRNewswire-PRWeb/ -- Author Hal Graff has released Love and Death at the Encierro, a political espionage, mystery thriller, and romance novel, marking the...
prweb.com·24 minutes ago
Most Americans think financial compatibility is important for successful relationships. Here are signs you and your partner could be incompatible, money-wise.
CNBC·about 4 hours ago
Investors will get a better read on the health of consumers as Walmart reports its first quarterly results under its new CEO on Thursday.
MarketWatch·about 4 hours ago
Sources: MarketAux (3) · Finnhub (10)
Precision-engineered analytics
| # | Tool | Description |
|---|---|---|
| 1 | Statistical Modeling | Advanced regression analysis, time series forecasting, and multivariate statistical methods for complex data patterns. |
| 2 | Risk Analytics | Comprehensive risk assessment frameworks including VaR, CVaR, and stress testing methodologies. |
| 3 | Data Pipeline | High-performance data processing infrastructure designed for large-scale quantitative analysis. |
| 4 | Portfolio Optimization | Modern portfolio theory implementation with multi-objective optimization and constraint handling. |