‹ Product Universe2025
Fintech · Algorithmic TradingIn Development

Momentum Trading

Automated trading, driven by sentiment and data.

Cloud · Automated

Highlights

Automated execution from data-driven signals
Market sentiment analysis from news & social streams
Research and fundamentals fused with technical momentum
Backtesting on historical time-series data

Mission

Turn market sentiment, research, and data into disciplined, automated trades — taking emotion out of execution.

Problem

Manual trading is slow and emotional, and no human can watch every signal at once. Sentiment and data shift faster than anyone can react.

Solution

An automated trading system that continuously analyzes market sentiment, research, and data, converts that into momentum-based strategies, and executes trades systematically — fully backtested and rule-governed.

Architecture

  • Real-time market data + news/sentiment ingestion pipeline
  • Sentiment & NLP engine over news and social streams
  • Signal + strategy engine fusing momentum, research, and data
  • Automated order execution with risk controls
  • Time-series storage for backtesting and analytics

Technologies

PythonMachine LearningNLP / SentimentMarket Data APIsTime-series DBCloud Functions

Challenges

01

Extracting reliable signal from noisy sentiment data.

02

Executing automatically with strict, trustworthy risk controls.

03

Backtesting honestly against historical market data.

Results

In development
Status
Sentiment + data
Engine
Automated
Execution

Screenshots

Coming soon
Coming soon
Coming soon

Future Vision

Adaptive strategies that learn from outcomes, broader asset coverage, and shareable, backtested strategy templates.

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