QUANTZILLA 3.0 is a quantitative and algorithmic trading course for traders. Its main goal is to teach users how to design trading systems, write indicators and scanners, backtest strategies, and ultimately automate trade execution. The course is offered as Basic, Advanced, and a Basic+Advanced bundle, with the content clearly centered on Amibroker AFL as well as Algomojo and Broker APIs within the Indian trading ecosystem.
The Basic section covers an introduction to systematic trading, AFL programming, real-time scanners, indicator development, portfolio backtesting, performance metrics, intraday strategies, non-repainting strategies, optimization, Walk Forward Testing, Monte Carlo, API-based automated order placement, GFX dashboards, debugging, and file operations. The Advanced section focuses more on execution and risk control, including order slicing, position sizing, risk management, option spreads, multi-leg options, Gamma Scalping, Butterfly, Iron Condor, hedging, and trade adjustments. According to the description, the course is delivered through videos and theoretical sessions, with content access provided after purchase. Basic and Advanced each include 3 months of access to recordings, while the bundle includes 6 months. It does not state whether live sessions or one-on-one coaching are included.
Pricing is clearly listed: Basic costs Rs. 12,500, Advanced costs Rs. 17,500, and Basic+Advanced costs Rs. 25,000, all inclusive of tax. After completing the online learning modules, learners can receive a certification of excellence. Buyers can also download demo materials and AFL code, and gain access to a private trading community plus a lifetime Slack Community for questions. However, the platform explicitly states that it has a no-refund policy, so enrollment should be considered carefully.
The main strength is the highly detailed syllabus, covering the full workflow of trading system development from coding, backtesting, and optimization to automated execution. It is especially suitable for those who want to use Amibroker for strategy research and development. The course also includes advanced topics such as multi-leg options, risk control, and order management, making it fairly practical. The limitations are that the text does not disclose the instructorβs name, credentials, teaching language, or payment methods. The course is also heavily dependent on Amibroker, Algomojo, and related broker APIs; if learners do not use these tools or do not trade the Indian market, the migration cost may be relatively high.
This course is better suited to individual traders who already have an interest in trading and want to systematically learn quantitative strategy development and automated execution. The text says there are no prerequisites, but it also notes that the learning curve is steep, so complete beginners will need to invest significant effort. Access from mainland China, payment availability, and network stability are not specified. Before signing up, it is advisable to test website access, confirm whether your bank card or payment method works, and verify that the course platform is usable. If your main focus is A-shares or a Chinese-language environment, you may also want to compare it with domestic quant platform courses, Python quant courses, or TradingView Pine Script tutorials.
β This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on quantzilla.in official site.
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