About Us:
At Insight Fusion Analytics, we develop advanced algorithmic trading strategies using data-driven insights and cutting-edge technology. We are looking for talented Algo Traders to design, test, and optimize trading models across global markets.
Key Responsibilities:
- Develop and implement algorithmic trading strategies for equities, forex, crypto, or derivatives.
- Backtest and optimize strategies using historical and real-time market data.
- Apply quantitative analysis, machine learning, and statistical modeling to enhance trading performance.
- Collaborate on trading infrastructure, automation, and risk management.
Required Skills:
- Understanding of stock market, stocks, crypto, and forex
- Understanding of all the indicators, and making custom indicators
- Understand candlestick patterns
- Identify trends (uptrend, downtrend)
- Understanding of Risk management (Position sizing, stop-loss, risk-reward ratio)
- Understanding of using Talib library and various libraries
- Understanding of using Zerodha Kite API, Alpaca API, Interactive Brokers API, and Binance APIs
- Understanding of Python, C , Pine script
- Understanding of Backtesting logic, Implementation of ML Algorithm for predicting or adjusting various stock market parameters
- Understanding of using various stock market platforms such as Ninja Trader, Binance, IBKR, MT5, MT4, etc.
Why Join Us?
- Work on cutting-edge trading models
- Competitive compensation & profit-sharing
- Flexible work options (Remote/Hybrid)
- Growth & learning opportunities
Test Task:
As part of the application process, you are required to complete a Trading Strategy Test Task to evaluate your skills in designing and implementing algorithmic trading strategies.
Test Task Details:
- Fetch NIFTY 50 historical price data for the past 3 years using a data source of your choice.
- Develop a trading strategy with indicators or techniques you prefer to generate buy and sell signals.
- Apply risk management with a clear risk-reward ratio, including stop-loss and take-profit rules.
- Perform a backtest over the 3-year period and present the results with the following metrics:
- CAGR (Compound Annual Growth Rate)
- Sharpe ratio
- Max drawdown
- Average profit per trade
- PnL (Profit and Loss)
- Win rate
The goal is to assess your ability to design, implement, and evaluate a trading strategy while showcasing your best possible results.
We are offering a stipend of 5000 per month to support your learning and contributions.
Fill out the application form here:
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Join Insight Fusion Analytics and shape the future of algorithmic trading.