Backtest.
Build.
Deploy.
Stop guessing. Start testing. India's most precise backtesting engine meets professional custom algorithm development. From raw idea to live deployment.
















































Why Serious Traders Choose
TradeMade.
Institutional-Grade Precision
Tick-by-tick historical data. Realistic slippage, brokerage, and impact costs built in. Your backtest reflects reality — not wishful thinking.
100% Confidential
Your strategy is yours. Signed NDAs before work begins. Zero data sharing. Your edge stays private.
From Idea to Live Algo
Submit your strategy in plain language. Our quant team codes, tests, and deploys it across your brokers. No Python required.
AI-Powered Edge (Beta)
Multi-Broker Alignment system syncs your algo across Zerodha, Upstox & more — with real-time AI news sentiment triggers.
Built for Every Level of
Algorithmic Trader
From retail traders starting their first backtest to institutions requiring millisecond execution across 50 accounts.
Individual Traders
You have a strategy in your head — or in an Excel sheet. We turn it into a battle-tested, live-trading algorithm. No coding knowledge needed. Start with a backtest; deploy when confident.
Strategy Creators & SEBI RAs
Manage client strategies at scale. Create rule-based algos your clients can subscribe to. Multi-account execution, portfolio-level risk controls, and compliance-friendly reporting.
Prop Desks & Institutions
Custom quant development for complex multi-leg strategies, basket orders, and high-frequency requirements. Full white-label options. VPS/cloud hosting. SLA-backed support.
Everything you need to trade
algorithmically
High-Precision Backtesting
Test any strategy on tick-level data spanning 10+ years. Realistic slippage, brokerage, options Greeks, portfolio-level analysis, walk-forward optimisation, and Monte Carlo simulation.
- Tick-level accuracy
- Multi-leg options
- Portfolio backtest
- Walk-forward testing
Custom Algo Development
Describe your strategy. We code it in Python, AFL, or Pine Script. Tested against historical data, optimised, and deployed to your broker with lifetime maintenance.
- 6 broker integrations
- No-code to full custom
- Lifetime support
- NDA-protected
AI Multi-Broker Alignment
Deploy one strategy across multiple brokers simultaneously. AI news sentiment layer auto-adjusts positions during RBI decisions, earnings, and market events.
- Real-time mirroring
- AI news triggers
- Unified P&L view
- Telegram alerts
How Our Backtesting Works
5 simple steps from raw idea to institutional-grade execution report.
Define Your Strategy
Tell us your entry/exit rules — using plain English, TradingView alerts, or AFL/Python code. Our team helps translate any format.
Select Universe
Choose instruments (NSE/BSE equities, F&O, indices), timeframe (1-min to daily), and date range (up to 10 years of tick data).
Configure Costs
Set brokerage, STT, slippage (fixed, %, or impact model), lot sizes, and capital. What you test is what you trade.
Run & Review
Get results in minutes. Full trade log, equity curve, rolling Sharpe, max drawdown, win rate, and month-by-month breakdown.
Optimise & Export
Walk-forward optimisation, parameter sensitivity heatmaps, and monte carlo. Export to PDF or share with your team.
One strategy.
Every broker.
Real-time.
Deploy your algo across 20+ Indian brokers simultaneously. Our AI news engine auto-adjusts your positions during RBI policy decisions, earnings calls, and global events — before they move the market.
- ✓Real-time order mirroring across 20+ brokers
- ✓Per-account position sizing and risk caps
- ✓AI news sentiment scoring (integrated with custom NLP)
- ✓Auto-pause on volatility spikes or news triggers
- ✓Telegram + email alerts per account
- ✓Live P&L dashboard across all accounts in one view
- ✓Full ATS (Automated Trading System) with override






What Our Traders Say
Don't just take our word for it. Here's what serious algorithmic traders across India think about our platform.
From the Quant Desk
Research, engineering deep-dives, and algorithm case studies. No fluff.