Your Partner in Algorithmic Trading

Smarter Trading. Faster Results. Maximum Opportunities.

Founded in 2011 in Indore, Madhya Pradesh, we build powerful, reliable and customizable algorithmic trading software for equity, commodity, currency and cryptocurrency markets.

15+ Years of Expertise: Trusted by traders for performance, speed and seamless broker compatibility.

About Tradetoday Multitrade Pvt. Ltd.

Established in 2011 and headquartered in Indore, Madhya Pradesh (India), Tradetoday Multitrade Private Limited delivers cutting-edge algorithmic trading software in India, trusted by traders in equity, commodity, forex, and cryptocurrency markets, built for speed, accuracy and reliability.

Led by Director – Mr. Amit Kumar Jain (B.Sc. LL.B.), our mission is to make trading smarter, faster and more profitable for both professional and retail traders. Learn more in our Services and FAQ sections.

💠 15+ Years of Industry Expertise

Highlights

  • Custom algorithms tailored to your strategies
  • Seamless integration with all major broker terminals
  • Enterprise-grade performance and uptime
  • Responsive support with rapid iteration

Our Algorithmic Trading Solutions

Equity Algo Trading

Precision-driven execution and monitoring for stock markets.

Commodity Automation

Seamless strategies tailored for commodity derivatives.

Currency Market Tools

Fast, reliable automation for forex pairs and baskets.

Crypto Algo Systems

Built for volatile digital markets with robust risk controls.

Plus: full customization to match your trading style and compatibility with leading broker terminals. Read our latest Insights or visit the FAQ.

Why Traders Choose Tradetoday

15+ years of expertise
Battle-tested knowledge across market cycles.
Customizable solutions
Algorithms tailored to your strategies and risk profile.
Broker compatibility
Works with all major trading terminals.
Performance-first design
Low latency, high reliability, real-time insights.

Director’s Vision — Amit Kumar Jain (B.Sc. LL.B.)

“We believe technology should simplify decisions and amplify results. Our focus is automation, customization and performance — so traders can operate with confidence.”

Our goal is simple: turn insight into execution with tools that are fast, dependable and aligned to your edge.

What Makes a Good Algo?

· By Tradetoday Editorial

Great algorithms are simple, testable, and resilient. Focus on clear entry/exit rules, robust risk limits, and realistic assumptions about slippage and fees.

  • Define risk per trade and max daily drawdown.
  • Keep inputs minimal—avoid overfitting.
  • Use broker-stable APIs and proper logging.

Start small, deploy in stages, and iterate based on live feedback.


Latency vs. Reliability

· By Tradetoday Editorial

In real markets, reliability beats raw speed. Monitoring, graceful restarts, and state recovery keep you profitable when networks hiccup or APIs throttle.

Aim for consistent sub‑second reactions with strong observability rather than micro‑optimizations that compromise stability.


Backtest Smarter

· By Tradetoday Editorial

Validate your ideas using out‑of‑sample tests, walk‑forward analysis, and realistic cost models.

  1. Split data chronologically to avoid leakage.
  2. Add fees/slippage with conservative estimates.
  3. Track drawdowns and time‑to‑recovery, not just CAGR.

The goal is robustness, not a perfect historical equity curve.

What Our Clients Say

“Rock‑solid execution”

Deploying our equity strategies was seamless. Stability and support have been excellent.

R. Sharma · Proprietary Desk

“Customization that fits”

They tailored risk controls and dashboards to our workflow. Huge productivity boost.

P. Mehta · Commodity Trader

“Great onboarding”

Went live in days with clear guidance and responsive iteration.

A. Verma · Retail Algo Trader

Ready to Trade Smarter?

Partner with Tradetoday Multitrade Pvt. Ltd. and transform the way you trade.

Contact Us

Director
Amit Kumar Jain (B.Sc. LL.B.)
WhatsApp
Location
Indore, Madhya Pradesh, India
✅ App is now ready for offline use!
Offline ready