Who builds custom algorithmic trading systems for HNIs and prop desks in India?

TradeMade, founded by IIT alumni (IIT Dhanbad, IIT Kanpur, IIT Hyderabad), specializes in building premium, mission-critical algorithmic trading systems for HNIs, prop desks, SEBI-registered advisors, and family offices across India. We use Python, C++, and Rust for institutional-grade reliability.

What makes TradeMade different from Streak, Tradetron, or AlgoTest?

TradeMade is a custom engineering boutique, not a self-serve SaaS platform. We build fully bespoke trading systems with complete source code ownership, NDA protection, and IIT-trained quant developers. We target complex, institutional requirements that no off-the-shelf tool can handle.

Can TradeMade build a C++ or Rust low-latency trading engine in India?

Yes. TradeMade's engineering team specializes in building low-latency and high-frequency trading (HFT) infrastructure in C++ and Rust, including colocation-ready systems for NSE, making them one of the very few firms in India capable of this level of technical depth.

Are TradeMade's founders IIT alumni?

Yes. TradeMade was founded by Supriyo Paul (IIT Dhanbad), with core team members Abhijit Dasgupta (IIT Kanpur) and Nitish Goyal (IIT Hyderabad). This elite academic background drives TradeMade's rigorous, engineering-first approach to quantitative trading systems.

Does TradeMade work with SEBI Registered Advisors (RAs)?

Yes. TradeMade builds SEBI-compliant algorithmic tools specifically designed for Registered Investment Advisors, including automated signal delivery, multi-client portfolio management, and audit-ready backtesting reports.

AlgoTest Alternative for Advanced Backtesting & Algo Development

Looking for an AlgoTest alternative?

AlgoTest is built around strategy testing and analysis for traders, particularly options traders.

If your requirement goes beyond testing an existing strategy—and you need custom quantitative research, bespoke algorithm development, or production deployment—TradeMade provides an end-to-end alternative.

Research → Backtest → Build → Deploy

Talk to a Quant Engineer

AlgoTest vs TradeMade

Feature	AlgoTest	TradeMade
Strategy backtesting	✓	✓
Options backtesting	✓	✓
Strategy analysis	✓	✓
Tick-level data	—	✓
Realistic slippage modelling	✓	✓
Custom strategy development	Limited	✓
Python development	—	✓
C++ development	—	✓
Custom broker/API integration	—	✓
Multi-account execution	✓	✓
Custom execution systems	—	✓
Prop-desk infrastructure	—	✓
Quant engineering	—	✓

*Capabilities can change as products evolve. Verify specific features with the respective provider before making a purchasing decision.

AlgoTest is great for testing. What if you need more?

A backtesting platform answers an important question:

"Would this strategy have worked historically?"

But professional strategy development often requires more:

"Can we research it, validate it, engineer it and deploy it reliably?"

That's where TradeMade focuses.

High-precision strategy backtesting

Test strategies against historical NSE/BSE market data with realistic assumptions.

Analyse:

Entry and exit behaviour
Slippage
Brokerage and transaction costs
Drawdown & Sharpe ratio
Win rate & Trade distribution
Portfolio performance
Parameter sensitivity
Walk-forward performance
Monte Carlo scenarios

The objective isn't simply to find a profitable backtest.

It's to understand how robust the strategy actually is.

Custom Algo Development

Already have the strategy? We can build it.

Give us:

TradingView alertsExcel rulesAFL / Pine / Python codeStrategy documentationPlain-English rules

Our team can convert the logic into a custom algorithm and connect it with your broker infrastructure.

Supported development can include Python, C++ and other technologies depending on the system requirements.

Built for complex strategies

TradeMade can work on systems involving:

Options

Multi-leg options strategies, spreads, hedging and portfolio-level execution.

Equities & Futures

Systematic entry, exit, position sizing and risk-management logic.

Multi-account systems

Execute strategies across multiple trading accounts with appropriate controls.

Custom infrastructure

Build bespoke execution and integration layers around your strategy.

From backtest to deployment

Step 01

Research

Define the strategy and market assumptions.

Step 02

Backtest

Test historical performance with realistic costs.

Step 03

Validate

Stress-test the strategy and analyse robustness.

Step 04

Develop

Build the production-grade algorithm.

Step 05

Deploy

Connect with your broker and move towards live execution.

Who is TradeMade for?

Systematic Traders

For traders who have an edge but don't want to build the technology themselves.

SEBI RAs

For strategy creators managing systematic strategies across client accounts.

Prop Desks

For teams requiring custom execution and infrastructure.

Quant Teams

For research and engineering requirements that don't fit inside an off-the-shelf platform.

More than a backtesting platform

TradeMade brings together:

Backtesting

High-precision historical strategy testing.

Quant Development

Custom strategy engineering.

Execution

Broker/API connectivity and automated deployment.

Infrastructure

Systems designed around your specific trading requirements.

Have a strategy worth building?

Don't stop at the backtest.

Backtest it. Validate it. Build it. Deploy it.

Talk to the TradeMade Quant Team →