Paper Trading on Angel One

Angel One for automated trading

Largest non-discount broker by client count. SmartAPI is free and supports both REST and WebSocket. Strong research arm if you ever need it. On the paper trading guide side specifically, Angel One's SmartAPI exposes the endpoints retail Indian traders actually need: order placement, positions, margins, and historical candles. Angel One has 2.4 crore+ active clients, which means the API has been stress-tested across a wide variety of strategies. API cost: free.

Paper trading on Angel One — formally, simulated orders that mirror real prices but do not hit the exchange — is best done through a platform that uses live Angel One ticks while routing orders to a simulator. This catches bugs in your strategy before real capital is at risk. We recommend at least 10 trading days of paper trading before any live trade.

Pros of using Angel One for automation: Free API, WebSocket streaming, Largest by accounts, Research-rich platform. Tradeoffs: Higher brokerage on equity delivery, API documentation patchy in places. Sleeping Trade supports Angel One alongside four other Indian brokers — your funds stay in your Angel One account, and we connect via trade-only API keys that cannot withdraw money. You can revoke our access from your broker dashboard at any time.

Indian retail traders moving from manual to automated execution typically see the biggest gains not from a smarter strategy, but from better execution discipline — the same trade plan, executed mechanically every session, with stop losses honored without hesitation. That is what API-based automation delivers, and the broker you choose is just the rails the strategy runs on. Three things matter when picking a broker for algo trading: API stability under load, margin treatment for hedged positions, and brokerage costs at scale. All five major Indian brokers — Zerodha, Upstox, Angel One, HDFC Securities, and ICICI Direct — clear the bar; the rest is operational fit. Sleeping Trade is broker-agnostic, so you can switch later without re-learning the platform.