Sir, you once mentioned in a vide that you will be bringing Mutual Funds backtesting on Momentify platform. Please introduce the data for backtesting. Also, guide on ways to optimize exit load (in some schemes) with lower churn.

Yes, your observation is correct. I also faced the same. For the time being the way out - lets say you want to wright 252 period as 3 and 20 period as 1. then repeat 252 - 3 times and keep 20 in last cell

Dear Team,

I know its too much of ask, but is there a way we can do backtesting of our ETF strategy in US market for US based ETFs. Considering Indian landscape is evolving in ETFs, not too much data is available for backtest. And, our momentify platform is so capable then we can run backtests on US ETFs to get an additional perspective. It may just work fine with EOD data rather than live data.

Regards,
Pranav

Requesting the team to look into this.

I agree - this will be really helpful especially in case of overseas ETFs like MAFANG which trade at 20% premium to iNAV

I also faced this. This may be some browser cookies error. you may need to clear browser history + cookies. Alternatively, it will open in incognito mode.

Dear Team,

I am an avid Momentify user. I have been testing my strategies on the platform and noted that there is probably some issue in calculation of Max Drawdown. Please refer the three screenshots below:

As per the screenshots the max drawdown is 20.26%. This is on a capital of 10 lacs. However, if I calculate manually - the recent peak is 1047779 and recent trough is 556906 (as provided in screenshot). Since this is an equity curve for profits. I add up the same in initial portfolio value to arrive at peak portfolio value of 2047779 (1000000+1047779), and trough portfolio value of 1556906 (1000000 + 556906). So the drawdown would be 2047779 - 1556906 = 490873. This on a base of 2047779 is 24.0% vs the Max drawdown of 20.26%. Please correct me if I am wrong anywhere.

Also, it would be beneficial to add CALMAR Ratio in testing our strategies.

Many thanks for the valuable platform.

Regards,
Pranav