SEBI RA-Compatible Platform

Backtest.
Build.
Deploy.

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

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2,100+ Traders50+ Institutions500+ Algos20+ Broker APIs
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5paisa
NSE
Telegram
MCX
Alice Blue
AWS
BSE
C++
Flattrade
Fyers
GitHub
Grafana
Groww
IIFL
Jainam
Kotak
Motilal Oswal
Python
SAS Online
Shoonya
Upstox
VSCode
Zebu
Zerodha
5paisa
NSE
Telegram
MCX
Alice Blue
AWS
BSE
C++
Flattrade
Fyers
GitHub
Grafana
Groww
IIFL
Jainam
Kotak
Motilal Oswal
Python
SAS Online
Shoonya
Upstox
VSCode
Zebu
Zerodha

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.

Our Services

Everything you need to trade
algorithmically

Core

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
Core

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
BetaLimited Seats

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.

Step 01

Define Your Strategy

Tell us your entry/exit rules — using plain English, TradingView alerts, or AFL/Python code. Our team helps translate any format.

Step 02

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).

Step 03

Configure Costs

Set brokerage, STT, slippage (fixed, %, or impact model), lot sizes, and capital. What you test is what you trade.

Step 04

Run & Review

Get results in minutes. Full trade log, equity curve, rolling Sharpe, max drawdown, win rate, and month-by-month breakdown.

Step 05

Optimise & Export

Walk-forward optimisation, parameter sensitivity heatmaps, and monte carlo. Export to PDF or share with your team.

Beta — Limited Access

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
31 of 50 seats filled
Strategy Hub
TradeMade Core
Zerodha
Angel One
Upstox
5Paisa
Alice Blue
Fyers

What Our Traders Say

Don't just take our word for it. Here's what serious algorithmic traders across India think about our platform.

"I had a short-strangle strategy that 'worked' on free tools. TradeMade's realistic slippage model showed me it would've lost ₹2.1L in 2022. That saved me from a live disaster. Worth every rupee."

RK

Raghunath K.

Derivatives Trader · Chennai

"Managing strategies for 30+ clients was becoming unmanageable. The multi-account deployment feature is exactly what the RA community needed. My clients get consistent fills."

DS

Deepa S.

SEBI RA · Bengaluru

"I gave them a rough idea on a WhatsApp voice note. Within 6 days I had a fully coded, backtested Nifty momentum algo running on my Zerodha. The communication was crisp."

AB

Aman B.

Prop Trader · Delhi

"The beta multi-broker feature is a game changer. I run the same iron condor strategy on my account, my brother's account, and my HUF account — all synced effortlessly."

VP

Venkatesh P.

Retail Trader · Kochi

"Tried 4 other backtesting platforms before TradeMade. The tick-data accuracy and options backtest engine are genuinely institutional quality. Rare to find this in India."

PN

Priyanka N.

Quant Analyst · Mumbai

From the Quant Desk

Research, engineering deep-dives, and algorithm case studies. No fluff.

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