System parameters: WazirX AI Assistant
The deployment merges market analysis, portfolio tracking, technical indicator checks, and order execution into a single chat-style interface. For quantitative traders, the relevant question is not whether the chatbot exists, but which functions map to algorithmic workflow and how much latency the abstraction layer introduces.
Confirmed feature set
- Data layer: Live price queries and trend retrieval, with chart output generated within the chat thread.
- Execution layer: Order placement in spot and futures markets, routed through the existing WazirX infrastructure.
- Automation layer: User-defined trade setups with explicit risk parameters; opportunity scanning against configured thresholds.
- Simulation layer: Paper Trading Sandbox with virtual capital, isolated from real fills.
- Distribution: Android, iOS, and web — same backend, three input surfaces.
Algorithmic assessment
The paper trading module is the only component with verifiable feedback value. Backtesting on synthetic capital produces a Sharpe ratio and drawdown profile; a live deployment without that prior curve carries unknown slippage and over-fitting risk. The opportunity-scanning function, as described, operates on user-set parameters — a rules-based filter, not a predictive model. No edge is implied; the system executes a defined logic tree, nothing more.
Risk-adjusted verdict: treat the assistant as an interface optimisation, not a strategy. Validate any signal on the paper sandbox before routing capital through the live execution path.