LONA Trading Assistant

Testing a trading idea properly means writing the strategy, feeding it real market data, and backtesting it before risking anything live. Neotask connects to LONA so you can develop that strategy in Python and run the backtest without switching to a separate trading environment.

• Develop algorithmic trading strategies in Python
• Upload market data from supported exchanges and run backtests
• Review performance reports with interactive charts showing entries, exits, returns, and risk metrics

What you can automate

• LONA Trading Assistant - LONA lets you develop algorithmic trading strategies in Python, upload market data from supported exchanges, and run backtests to see how a strategy would have performed historically. You can review performance reports with interactive charts showing entry and exit points, returns, and risk metrics.

Real workflows

Backtest a trading strategy

Describe the strategy logic you want to test; Neotask develops it in Python through LONA, runs a backtest against uploaded market data, and returns a performance report with entry/exit charts, returns, and risk metrics.

Frequently asked questions

What language are strategies written in?

Python — LONA's strategy development environment is Python-based.

What does the backtest report show?

Interactive charts with entry and exit points plus returns and risk metrics, so you can see how the strategy would have performed historically.

Plans

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