Saral Algo Trading- Sr. Startup Club
Notable Projects
StratifyIQ
StratifyIQ – Full-Cycle Strategy from Research to Automation
This team begins by identifying anomalies or patterns in historical equity or crypto data, builds rule-based strategies (e.g., mean reversion or trend-following), and backtests them using Python or tools like QuantConnect. They progress to automation using APIs or browser-based execution platforms. Output: a fully documented, backtested, and optionally deployed strategy with performance metrics.
MarketPulse ML – Sentiment & Technical Fusion Trading
Using NLP tools like VADER or BERT, students collect market sentiment from Reddit/Twitter, and blend it with technical indicators (like RSI or MACD) to build a hybrid strategy. They backtest using historical price-sentiment correlation and create dashboards visualizing how sentiment drives trades. A perfect bridge between AI and markets.
MarketPulse ML
ShieldX
ShieldX – Build a Risk Management Engine
This project focuses on risk rather than return. Teams create dynamic stop-loss calculators, position sizing rules, and simulate portfolio-level stress tests using random market scenarios. The final product is a modular risk engine that can be plugged into any trading system — an underrated but vital skill.
