Our Projects
Explore our portfolio of custom-built solutions that have delivered measurable results for our clients
1. Trading Strategy Optimization
Developed a strategy builder analyzing historical trading data to identify profitable conditions.
Key Features:
- Implemented backtesting and forward-testing frameworks
- Integrated AI-powered analytics to detect trading patterns
- Provided real-time performance monitoring and adjustments
Technologies Used:
PythonTensorFlowInteractive Brokers APIPostgreSQL
Timeline:2 months
Increased strategy profitability by 20%
2. Cross-Asset Backtesting
Built an engine to simulate asset performance across stocks, futures, and options.
Key Features:
- Developed risk-adjusted return analysis modules
- Provided interactive dashboards for real-time scenario analysis
- Implemented cross-market correlation detection
Technologies Used:
RustReact.jsClickHouseKafka
Timeline:3 months
Improved portfolio efficiency, increasing the Sharpe ratio by 15%
3. AI-Driven Product Development
Designed an AI-powered platform to automate product development.
Key Features:
- Integrated regulatory intelligence modules for compliance
- Embedded real-time cost and demand forecasting
- Automated testing and validation workflows
Technologies Used:
PythonPyTorchNode.jsMongoDB
Timeline:4 months
Reduced product development time by 40%
4. Automated Trading System
Built a 24/7 automated trading system for cryptocurrency derivatives.
Key Features:
- Implemented real-time market data processing
- Developed custom trading algorithms with risk management
- Created monitoring and alerting systems
Technologies Used:
RustKafkaRedisDeribit API
Timeline:3 months
Achieved consistent returns with 30% lower drawdowns
5. Financial Data Analytics Platform
Developed a platform for analyzing large-scale financial data sets.
Key Features:
- Built data ingestion pipelines from multiple sources
- Implemented machine learning models for pattern recognition
- Created interactive visualization dashboards
Technologies Used:
PythonApache SparkTensorFlowReact.js
Timeline:5 months
Reduced analysis time by 60% and improved accuracy by 25%
6. Risk Management System
Created a comprehensive risk management system for options trading.
Key Features:
- Implemented real-time Greeks calculation
- Developed scenario analysis and stress testing
- Built portfolio optimization algorithms
Technologies Used:
C++PythonPostgreSQLReact.js
Timeline:4 months
Reduced risk exposure by 35% while maintaining returns
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