Stock Market Day Trading Bot
Budget: ₹150,000 – ₹250,000 INR
Job Title: Quant Developer / Algo Trading Software Engineer (NIFTY Options & Intraday ML Systems)
We are building an automated intraday analytics platform that uses real-time Chartlink & Sensibull APIs to predict NIFTY movement, analyze OI, breadth, heatmap data and generate trading signals. We need an experienced developer who can architect and build the full system end-to-end.
Responsibilities
Integrate Chartlink + Sensibull APIs for real-time market data ingestion (1–15m intervals).
Build data pipelines & storage architecture (TimescaleDB/ClickHouse/Postgres + Kafka/Redis/Message Queue).
Develop microservices for:
Real-time data ingestion
Feature engineering (OI, volatility, breadth indicators)
Model inference service for intraday prediction
Strategy engine to generate trade signals.
Create historical database for 2+ years of intraday/NIFTY options/OI data.
Implement backtesting module & ML training workflow (XGBoost/LightGBM/Deep Learning optional).
Build risk-managed signal generation logic for NIFTY option trades.
(Optional) Connect with broker APIs for execution + paper/live trade mode.
Required Skills
Strong experience in Python (preferred) or Java/Node).
Experience with algo trading / HFT / quant systems.
Knowledge of NIFTY/OI/Options Greeks & intraday market microstructure.
Hands-on with Kafka/Redis Streams/RabbitMQ, TimescaleDB/Postgres, Docker/Microservices.
Experience in ML/Backtesting frameworks (Pandas, NumPy, Scikit-Learn, XGBoost).
Experience with REST APIs, WebSockets, streaming data handling.
Nice-to-Have
Experience with broker APIs (Angel One, Zerodha, AliceBlue etc.)
Experience deploying on AWS/GCP
UI dashboard skills (React/Vue/Streamlit) for visualization.
Outcome
A functioning software system that:
Streams real-time market + OI data
Stores & processes features for model prediction
Predicts intraday NIFTY direction using ML models
Generates actionable option trading signals automatically
Engagement
Contract / Freelance
We are building an automated intraday analytics platform that uses real-time Chartlink & Sensibull APIs to predict NIFTY movement, analyze OI, breadth, heatmap data and generate trading signals. We need an experienced developer who can architect and build the full system end-to-end.
Responsibilities
Integrate Chartlink + Sensibull APIs for real-time market data ingestion (1–15m intervals).
Build data pipelines & storage architecture (TimescaleDB/ClickHouse/Postgres + Kafka/Redis/Message Queue).
Develop microservices for:
Real-time data ingestion
Feature engineering (OI, volatility, breadth indicators)
Model inference service for intraday prediction
Strategy engine to generate trade signals.
Create historical database for 2+ years of intraday/NIFTY options/OI data.
Implement backtesting module & ML training workflow (XGBoost/LightGBM/Deep Learning optional).
Build risk-managed signal generation logic for NIFTY option trades.
(Optional) Connect with broker APIs for execution + paper/live trade mode.
Required Skills
Strong experience in Python (preferred) or Java/Node).
Experience with algo trading / HFT / quant systems.
Knowledge of NIFTY/OI/Options Greeks & intraday market microstructure.
Hands-on with Kafka/Redis Streams/RabbitMQ, TimescaleDB/Postgres, Docker/Microservices.
Experience in ML/Backtesting frameworks (Pandas, NumPy, Scikit-Learn, XGBoost).
Experience with REST APIs, WebSockets, streaming data handling.
Nice-to-Have
Experience with broker APIs (Angel One, Zerodha, AliceBlue etc.)
Experience deploying on AWS/GCP
UI dashboard skills (React/Vue/Streamlit) for visualization.
Outcome
A functioning software system that:
Streams real-time market + OI data
Stores & processes features for model prediction
Predicts intraday NIFTY direction using ML models
Generates actionable option trading signals automatically
Engagement
Contract / Freelance