Digital shop
The Fabtrader shop focuses on high-utility digital downloads instead of a noisy general catalog. Inside, visitors can explore productivity tools, trading screeners, strategy backtest scripts, Python code snippets, and financial tools built to make research, execution, and review workflows more structured and repeatable.
Showing 20 of 20 products
A simple, peaceful, ETF Momentum strategy based on Monthly rotation on top ETFs from each category!Includes full Python backtest code, 10 years of data, complete tradebook, and detailed performance metrics — so you can test, verify, and learn for yourself.
The Focus Four Task Management and Productivity Tool is designed to streamline task prioritization, ensuring that your energy is spent where it truly matters. Inspired by the popular Eisenhower Matrix, Focus Four categorizes tasks into four distinct sections to enhance productivity and help users make clearer, more deliberate choices on what to tackle first. By moving away from a simple linear list, Focus Four encourages a more thoughtful approach to task management that leads to more efficient use of time and resources
Spot High-Probability Trend Reversals with Ease — Including Liquidity Sweeps This daily Python screener scans the stock universe to identify stocks exhibiting potential Change of Character (CHOCH) setups — a key price action strategy used by smart money traders to detect trend reversals and high-probability trade entries.
Kickstart your web scraping journey with this ready-to-use Python toolkit built for traders, developers, and data enthusiasts. This pack contains simple, clean implementations of the most popular scraping methods.
GARP (Growth at a Reasonable Price) investing is a strategy that sits between value investing and growth investing, aiming to balance growth potential with reasonable valuation metrics. Popularized by legendary investor Peter Lynch, GARP seeks to identify companies where growth is undervalued rather than simply searching for cheap stocks. I will revisit the GARP framework put forth by one of my favorite financial educator and YouTuber, Shankar Nath. He has done an excellent job of analyzing multiple frameworks already in vogue and has come forth with his own version, which, based on his back test, had yielded a whopping 115% return per year and managed to beat all other methodology.
Mr. Mahesh Chander Kaushik's Nifty Ki Dukaan (NiftyShop) strategy is a very famous strategy among traders and investors. What if we applied this on SmallCap50 universe rather than Nifty50. This is how Small Cap50 Shop strategy was born. The backtest revealed a surprise and also confirmed our hunch that this strategy could be quite profitable and also would help churn our positions faster and thereby increase fund utilisation, which was often sighted as an issue with Nifty Shop strategy. Well, we backtested this and all the results including the detailed performance metric and the best settings that provided the maximum returns is also included in this package here! This is a swing strategy that is ideal for office goers - spend less than 10 mins a day and has the potential to beat the market by a mile!
A simple yet powerful two-part template that helps you organize all your important financial, personal, and emergency information in one place — so your loved ones know exactly what to do when life becomes unpredictable. A must-have preparedness tool for every family.
A Practical Guide to Navigating the Path from Solvency to Financial Abundance. A full, no non-sense, detailed roadmap that I built based on my own personal FIRE journey. It may not be perfect, but its real, time-tested and genuine!
Expenzo! - Annual Budget and Expense Management and Tracking tool - is designed to empower your journey to Financial Independence and Early Retirement (FIRE) by making budgeting simple, insightful and actionable. Achieving FIRE requires clarity on where every single penny comes from and goes to, and that's where Expenzo! becomes indispensable. This tool not only tracks your expenses across essential categories like Housing, Groceries, Education and Debut but it also leverages the Three Pot System for a holistic view of your spending habits.
Supercharge your algo trading and data analysis with this powerful Python utility that fetches real-time, historical, and fundamental data directly from the NSE India website.
Get the Python implementation of the popular Dynamic Support & Resistance indicator from TradingView, originally developed by LonesomeTheBlue. This tool identifies key support and resistance zones based on pivot point clustering, helping traders avoid poor trade entries near major price levels. ✅ Based on pivot channel logic✅ Adjustable strength and loopback settings✅ Ideal for algo trading integration✅ Prevents trades near reversal zones Easily customizable for your trading strategies100% Python code – plug & play for quants and developers
Nifty Shop Strategy, a favorite among our community members, is an excellent example of strategies that involve low risk but has great potential. Its a slow churn strategy but one that silenty let our wealth compound. Based on popular demand, the strategy python screener and its core logic is now available for free download. Along with it the tradebook, as seen in the YouTube video.
Mr. Mahesh Chander Kaushik's Gap Up Strategy backtested for 5 years and results shared! This is a swing strategy that builds upon stocks that are in a phase of momentum and expected to continue to follow trend until the target is attained.
Mr. Mahesh Chander Kaushik's ETF Ki Dukaan (ETF Shop) strategy backtested for 4 years, multiple scenarios compared and the most optimum settings revealed that fetched the most returns! This is a swing strategy that is ideal for office goers - spend less than 10 mins a day and has the potential to beat the market by a mile!
Investors are constantly looking for strategies that maximize returns while minimizing risk. One such strategy that has gained traction is the Trending Value Portfolio, a concept originally proposed by James O’Shaughnessy in his book What Works on Wall Street. This approach combines the best of momentum investing and value investing to identify stocks that are both fundamentally strong and currently trending upward in the market. Shankar Nath had taken the original idea and made it even better! This is a free python screener that fetches the stocks as prescribed by Shankar Nath.
Mr. Mahesh Chander Kaushik's Nifty Ki Dukaan (NiftyShop) strategy is a very famous strategy among traders and investors. What if we applied this on Midcap50 universe rather than Nifty50. This is how MCAP50 Shop strategy was born. The backtest revealed a surprise and also confirmed our hunch that this strategy could be quite profitable and also would help churn our positions faster and thereby increase fund utilisation, which was often sighted as an issue with Nifty Shop strategy. Well, we backtested this and all the results including the detailed performance metric and the best settings that provided the maximum returns is also included in this package here! This is a swing strategy that is ideal for office goers - spend less than 10 mins a day and has the potential to beat the market by a mile!
Discover the power of systematic trading with my complete backtest package for the famous Homna Strategy, adapted and popularized by Mahesh Chander Kaushik. Whether you’re a trader looking to validate this strategy or a learner exploring real-world backtesting, this bundle gives you everything you need to analyze and understand the strategy in depth. 👉 Perfect for traders, quants, and learners who want to study how professional backtests are structured and reported.
In trading, some of the best opportunities often emerge when stocks start recovering from their lows . This simple python utility will help improve your swing trade's chances of winning!
A simple, awesome, rule-based weekly trading strategy on index ETFs.Includes full Python backtest code, 20 years of data, complete tradebooks, and detailed performance metrics — so you can test, verify, and learn for yourself.
What happens when you take a slow, steady, and proven mean-reversion strategy — and unleash it on a universe of fast-moving, high-momentum stocks? That’s exactly what I tested when I applied the NiftyShop strategy to the High Momentum index. The results were nothing short of fascinating — faster capital rotation, more frequent trades, and a five-year backtest that turned heads - 824% returns with 48% CAGR!
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If you want deeper context behind the downloads, continue into the main course catalog or the Fabtrader blog for strategy thinking, system design, Python workflows, and disciplined backtesting ideas.
