This backtest was done in the month of Aug but now the same parameters are not giving such results. I am giving result of one more backtest. You can try/modify.

While the back tests suggest the possibility of substantial gains—running into crores of rupees—there is no guarantee that markets will behave in exactly the same way in the future. Performance may improve, or it may deteriorate. More crucial than the projected gains is our psychological preparedness: Are we truly ready to remain invested for the duration assumed in these back tests? How will we react when faced with such huge potential profits? At present, many of us may be comfortable investing ₹20,000–25,000 in a single stock. But when the situation demands an allocation of ₹4–5 lakhs in one company, the psychological challenge could be significant.

Therefore, our focus should be on adapting these strategies to minimize drawdowns, as initial losses can easily undermine confidence.

@Alpha Trader
I have also brought this issue to their knowledge more than a fortnight ago through email.
I have been advised that they are working on it.

@Arena Kashyap
@Prashant-Shah
I have also highlighted a few discrepancies to the team via email. In my view, the tools provided are already sufficient; rather than adding more features, it would be more beneficial to ensure the existing ones function accurately.

Lately, switching between different tabs on the Definedge platform has become noticeably slow. Pages often don’t refresh automatically, and pressing F5 manually has almost become a routine. This issue wasn’t present until last month.

@Vishal Ambhore
You are trying to view shares from "Option liquid futu..." group. The Ticked box is not meant for this. Apart from the group, you can view individual stocks also by putting name in the text box left to the Ticked box in your image.
Just open the same drop down (which you opened for entering "Option liquid futu..." group name and mark tick against "Show in All Charts" as shown in the attached image.

We are currently replicating the strategies described in Mr Prashant Shah’s book, comparing the outcomes with those presented in the book, and engaging in discussions on the forum.

In my assessment, any difference in results may stem from minor variations in one or more parameters. This observation is not intended to challenge anyone’s understanding. The book was written a few months ago, and since then the system may have undergone multiple refinements, which could also explain the deviations.

That, however, is not the key issue. These strategies should be viewed as guiding frameworks that demonstrate how parameter adjustments can help in achieving optimized outcomes.

While the back tests suggest the possibility of substantial gains—running into crores of rupees—there is no guarantee that markets will behave in exactly the same way in the future. Performance may improve, or it may deteriorate. More crucial than the projected gains is our psychological preparedness: Are we truly ready to remain invested for the duration assumed in these back tests? How will we react when faced with such huge potential profits? At present, many of us may be comfortable investing ₹20,000–25,000 in a single stock. But when the situation demands an allocation of ₹4–5 lakhs in one company, the psychological challenge could be significant.

Therefore, our focus should be on adapting these strategies to minimize drawdowns, as initial losses can easily undermine confidence. By working in this direction and openly sharing our experiences, we can create valuable learning opportunities for all participants.

I have watched recently published podcast of Mr Prashant Shah with Mr Vijay Thakkar on Momentum Investing.

I was aware of the concept and I had already tried to carry out backtesting of the Momentum investing concept in GoogleSheet on Nifty 200 shares. I had pulled daily data of Nifty 200 shares for 8.5+ years with the help of GoogleFinance functions. Although it was done with very limited resources but I could get clear idea of its benefits. But deployment of this concept in live scenario was impossible for obvious reasons.

Mr Shah has thoroughly explained how it can be backtested and implemented in the virtual and thereafter in the real environment. Immediately, I opened account with Definedge.
After doing multiple rounds of backtesting on different Nifty group shares I got some very good results. One of the results is attached. CAGR of 60+ is unbelievable. Max DD is 10.86%. I tested the strategy for various periods and got good results.

As I am new to this platform and still exploring the features, I want to know that which built-in functions can be used in reducing the drawdowns in real life scenario.

@Saju Raj
Thanks for highlighting this. I had similar concerns about the backward maintenance of the list. I had even checked with support earlier and was advised to go ahead and use it for backtesting—so this clarification is important.

I also asked how MIP–Momentify outputs would flow into Momentify Investments, especially whether they refresh on every rebalancing date. I was told they remain static, which seems logically incorrect and makes it inconsistent.

Another observation: the Radar scanner allows filtering by recent quarterly results, but this preference isn’t saved when the scanner query is saved. Because of that, it’s unclear whether, on a rebalancing date in Momentify Investing, Radar actually considers only those companies that have declared their recent quarterly results.

Additionally, the system currently doesn’t allow the Nifty 750 list (Nifty 500 + Nifty Microcap 250) in the Momentum Investing Scanner, even though the same list is allowed in Momentum Trading Backtesting.

@Prashant-Shah
These points are not criticisms of the Definedge team—your team is working hard and continuously improving the platform. I’m just sharing these inconsistencies so they can be addressed going forward.

@NISHIT GALA
Instead of asking others, ask yourself how much loss you can tolerate on a single position.