Strategy Backtesting System
Love to create your own strategies? Use our Backtesting system to give out your best.
Let us know when you are done with your Algorithmic Trading Strategy, we'll take it live.
Create and Earn
Backtest your trading strategies for free and share the results. Earn upto INR 1,00,000/pm
Test and validate multiple trading algorithmsWe take risk management very seriously and algorithms having well diversified set of stocks and definite target-stoploss values will be allowed for submission
Pricing and Validation
Submit your algorithm result for a price. We perform our validation checks it and push it to the marketplace.We do not view your Algorithm. We only view the results.
Earn when other investors and traders select your algorithm for live trading.We set a Bi-Annual Subscription Cost for each algorithm and creators get 70% of the revenue from Subscription Costs associated with their Algorithm
Why Backtest With Us
Kuants comes up with features that guide you through start to end process of strategy development and live tradings
Free of Cost
Super-friendly backtesting without code
Automated Live Trading with a click
Support for developing Advanced Trading Strategies
Invest in MarketPlace
View different types of Trading Strategies listed and select based on your risk-return profile
As soon as you select a strategy, we will open a DEMAT account for you.
Trade on automated Strategy the very next day. Start with capital as low as INR 20000
Times of India
Algorithmic trading startup Kuants bags seed funding
Our Press Release
Kuants, an algorithmic trading platform, has raised Rs 50 lakh from Delhi-based angel investors - Pankaj Chopra and Ankush Gupta.
Mohit Bansal and Ayush Gangwar, both graduates of IIT-Kharagpur, started Kuants in October 2017. The startup was a part of the first batch of the accelerator program by India Accelerator, a member of GAN (Global Accelerator Network).Read Full Article
Quantpedia.com - The Encyclopedia of Quantitative Trading Strategies "is a quantitative trading research company with a goal to help quants find a new trading strategy ideas. We are continually building database of ideas for quantitative trading strategies derived out of the academic research papers. We read a lot of papers (from research portals, financial journals, universities etc.), select the best and extract trading rules in plain language, performance and risk characteristics and various other descriptive attributes. Selected strategies are added into the existing Quantpedia structure and users can screen categorized strategies, examine related strategies or review visualized comparisons."
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