Example project · Python · Algorithmic · Platform
An automated paper-trading engine: live data feed, indicator calculation, signal generation and simulated order placement, with alerts on every simulated trade.
An automated paper-trading engine: live data feed, indicator calculation, signal generation and simulated order placement, with alerts on every simulated trade.
A paper-trading system run for at least two weeks with logs and alerts.
Receive market data in a simulated or paper-trading mode.
Update the indicators as new data arrives.
Place simulated orders when the rules trigger — no real orders.
Send an alert and log every simulated trade.
Run the system for at least two weeks and review the logs.
AlphaSync is a simulated practice environment for education. Simulated and paper-trading environments do not reproduce all the characteristics of live markets, such as execution, liquidity, costs and emotional pressure. Simulated results do not represent actual trading and do not predict future results. Screens show illustrative data.
Algorithmic Trading
Fetch historical NSE data with Python, build a 20/50 EMA crossover rule, detect entries and exits, and back-test it honestly before moving to paper trading.
1 Apr 2026 · 5 min read
Projects are completed inside Academy courses, with instructor feedback. Enquire about the course that includes this project.