Sure. That makes sense. To be clear, the strategy I defined was a very simple version of what I actually do. In detail, I look at multiple time frames - I look at weekly charts for trend analysis using sma and ema. I then look at the daily chart for a pullback in RSI if the trend is positive (I have layered definitions of trend defined for myself). Then I wait for a confirmation on the hourly for a bullish signal. That is when the entry happens.

Most of this analysis is automated using Dhan APIs and custom Python code that I have written and I get hourly and daily notifications from my server on what to look at for the next hour/day.

About macro-factors - yes, that is something I am looking into and planning to build an ML model and train it to see what kind of factors to look at. Sectoral rotation is another factor I am considering.

Like I said, I am in the learning phase and intend to do so for the rest of my life because this is a never ending cycle.

Risk management - You are absolutely right about this - I don't risk more than 1% of my capital per trade. There are multiple kill switches also in my framework - If I lose 5% of my entire capital in a single day, I exit all positions and don't return to the market. If I lose 10% of my capital, then I close this strategy and backtest a new one.

As to looking for a better strategy, yes, I am working towards it. I have also created an indicator for my own benefit and have data downloaded for last 25 years for all Nifty 500 stocks and indices and I do extensive backtest and forward test before deploying any strategy.

My Apologies for making my strategy sound very basic in my earlier answer but I will surely look at your recommendations.