COMMERCIAL SAAS FOR INDIAN STOCK MARKETS

Institutional Quantitative Trading for NSE & BSE

Automate your NIFTY 50, BANK NIFTY, and equity trading with official broker APIs (Angel One SmartAPI & DhanHQ). Pre-trade risk controls, dynamic lot sizing, and 100% server-side background execution.

Launch 7-Day Trial View 8 Strategies
NSE Market Session: 09:15 - 15:30 IST
Broker Integration: Angel One & DhanHQ
Execution: 100% Server-Side Daemons
QUANTITATIVE MODELS

8 Dedicated Indian Strategies

Adaptive Momentum Scalping, VWAP Institutional Context, Opening Range Breakout (ORB), Trend Following, Momentum Breakout, Volatility Breakout, Mean Reversion, and Liquidity Sweep. All signals evaluated with deterministic 0-100 scoring.

BROKER ARCHITECTURE

Official Indian Brokers

Seamless authentication with Angel One SmartAPI (TOTP supported) and DhanHQ API v2. Connect credentials encrypted via AES-256-CBC with future support ready for Zerodha Kite, Upstox, and Fyers.

BACKGROUND ENGINE

True Server-Side Execution

Closing your browser tab or device never interrupts a running bot. Dedicated background daemons manage orders, stop losses, trailing stops, and session square-offs 24/7 without browser dependencies.

PRE-TRADE SAFETY

Pre-Trade Risk Engine

Dynamic Indian lot-size validation, margin check, max daily loss cutoff, consecutive loss protection, and low-capital (₹10,000 Nifty) feasibility verification before routing any order.

LIFECYCLE MANAGEMENT

Automated Trade Controls

Automatic Stop Loss, Target, 1R Break-even protection, dynamic ATR trailing stops, partial profit scaling (25%/25%/50%), and mandatory 15:15 IST intraday auto-exit before market close.

EXECUTION MODES

Paper vs Live Isolation

Completely isolated virtual paper trading ledger with realistic fill slippage (0.03%) and Indian statutory fee modeling (STT, GST, SEBI turnover fees, stamp duty) before deploying live capital.

Mandatory SEBI Risk Disclosure on Derivatives Trading:
9 out of 10 individual traders in equity Futures and Options Segment incurred net losses. On average, loss makers registered net trading loss close to ₹50,000. Over and above the net trading losses incurred, loss makers expended an additional 28% of net trading losses as transaction costs. Those making net trading profits incurred between 15% to 50% of such profits as transaction cost. Algorithmic trading involves substantial risk of loss and is not suitable for every investor. Past performance does not guarantee future results.