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Backtest Python trading strategies on historical NSE data with an Indian trading calendar, realistic brokerage and statutory charges, configurable slippage, and 13 strategy templates. Start free with demo data.
Hey everyone! I'm building QuantBros Backtest to make strategy testing more accessible to retail traders in Indian markets.
I wanted a tool where traders could test their own Python strategies on historical NSE data while accounting for Indian trading costs, instead of relying only on theoretical returns.
QuantBros Backtest is now in beta. You can try it with demo data, and I'd really appreciate your feedback on what works, what doesn't, and what you'd like to see next.
I'm here to answer any questions and learn from the community!
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About QuantBros Backtest on Product Hunt
“Honest backtesting for Indian markets”
QuantBros Backtest was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #226 on the daily leaderboard. Backtest Python trading strategies on historical NSE data with an Indian trading calendar, realistic brokerage and statutory charges, configurable slippage, and 13 strategy templates. Start free with demo data.
QuantBros Backtest was featured in Analytics (174.5k followers), Developer Tools (523.1k followers) and Finance (6.5k followers) on Product Hunt. Together, these topics include over 118.8k products, making this a competitive space to launch in.
Who hunted QuantBros Backtest?
QuantBros Backtest was hunted by The Quant Bros. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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The Quant Bros
Hey everyone! I'm building QuantBros Backtest to make strategy testing more accessible to retail traders in Indian markets.
I wanted a tool where traders could test their own Python strategies on historical NSE data while accounting for Indian trading costs, instead of relying only on theoretical returns.
QuantBros Backtest is now in beta. You can try it with demo data, and I'd really appreciate your feedback on what works, what doesn't, and what you'd like to see next.
I'm here to answer any questions and learn from the community!