Frequently Asked Questions

We provide four core services: Algo Strategies for indicator-based and systematic trading, Quant Strategies for data-driven model workflows, Dedicated IP VPS Hosting for live 24x7 deployment, and Trading Training programs for individuals looking to build practical skills.

Use the Contact page, email amol@quantbots.co, or message us on WhatsApp at +91 92262 60737. We respond within 24 hours on business days.

Yes. Our VPS plans include a dedicated IP address for each server. This keeps your broker sessions stable and prevents connectivity interruptions common with shared IP environments. Plans start at Rs.500/month.

We offer four plans:

• Linux XM2 — Rs.500/month (2 vCPU, 4 GB RAM, 20 GB NVMe)
• Linux XL2 — Rs.1800/month (4 vCPU, 8 GB RAM, 40 GB NVMe)
• Windows XM2 — Rs.1200/month (2 vCPU, 4 GB RAM, 20 GB NVMe)
• Windows XL2 — Rs.3000/month (4 vCPU, 8 GB RAM, 40 GB NVMe)

All plans include 1 dedicated IP and 1 Gbps bandwidth.

Our VPS is compatible with Zerodha, Dhan, MT5, Ctrader, and custom Python API setups. Linux plans suit FastAPI and Python-based algo stacks; Windows plans suit MT5 and other Windows-native tools.

Go to the VPS page, click Buy Now on your preferred plan, fill out the enquiry form with your name, email, and phone. Our team will follow up within 24 hours with payment and setup details.

The program covers Python for Finance, strategy logic design, backtesting, broker API integrations, and live deployment workflows across 8 classes + 4 lab sessions. The fee is Rs.31,000.

Yes. The curriculum progresses from foundational concepts to practical deployment, so it works for beginners as well as experienced traders who want to automate their strategies.

Visit the Training page and click Apply Now. Fill in your name, email, and phone number. Our team will contact you within 24 hours.

Algo Strategies are rule-based trading frameworks built around indicators, signals, and risk logic that execute trades automatically without manual intervention. We help clients design, backtest, and deploy them into live broker environments.

Quant Strategies use statistical models, mathematical frameworks, and data science to generate signals and manage portfolios. Our stack includes factor models, mean-reversion logic, and ML-assisted signal generation.