Learn Algo Trading with Python | Codes | Youtube Series

APIs, Automation, Algos & Code
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You can spot me in the blue shirt. At that moment, both @RahulDeshpande and @Naman assured me they were already working on high-quality algorithmic content with an excellent teacher. They also promised that any future modifications needed would be taken care of.

Now, we can see the results of their efforts.

@Dhan stands out as the first broker genuinely committed to retail education, providing high-quality content delivered by exceptional teachers. Moreover, Dhan closely monitors our progress and identifies areas where we need to improve, ensuring we have the necessary resources to enhance our learning experience.

Our teacher’s (@Tradehull_Imran sir) commitment is truly unparalleled. He addresses every request personally, offering solutions and even suggesting additional resources to help us succeed. His dedication has made our educational section the most active and engaging part of the MadeForTrade community.

It’s a small token of gratitude to say thank you to Dhan for their forward-thinking approach to education and for finding the best algorithmic trading teacher, who generously shares his knowledge for free on their YouTube channel.

Next Session

Now, let’s talk about the next session. I have already requested some new features, which have been noted by our respected sir.

Sir, if I am not wrong, you have already requested more historical data for back testing from Dhan, and from my side, I have requested an increase in the API data limit per day( @Hardik ). Apart from that:

  1. Trade Tracking in Excel: We can keep track of our trades in an Excel sheet (once a trade is executed, all details will be noted in the sheet). The columns should include:
  • Date + Time
  • Name (e.g., Nifty, Crude Oil)
  • Strategy Name
  • Entry
  • Exit
  • Stop-Loss
  • Status (e.g., Profit/Loss) + Amount
  • Initial Capital
  • Current Capital

  1. Forward Testing: Similar to real trades, we can perform virtual trades with the same columns mentioned above. This will allow us to calculate from Excel which strategies are profitable or loss-making and by how much.

  2. Trendline Analysis by Algorithm: It should be possible to check if there is any slope trendline in the (D, W, M) time frame using an algorithm.

  • Identify resistance and support using trendlines(slope and horizontal).
  • Detect if there are any bullish or bearish patterns forming near support or resistance (initial examples can be provided, and students like us can contribute more).
  • Utilize RSI and MACD values (this part is already done, as I know).
  1. Dhan or Free NSE API:
  • Check which stocks are under FNO ban for the day (in Excel).
  • Dynamically update the list of FNO Nifty 50 stocks in Excel.
  • Identify stocks under the ASM ban list.

5.How to make combine strategy [with one example]
like Nifty, Release, Silver, stock with following parameter
we will try to create bearish strategy from that

    1. near support or breakout
  • 2.long build up
  • 3.OI put side oi increasing
  • 4.Bullish candle pattern with[ like bullish engulfing please create a scope whare we can add more by our choice]
    1. RSI + MACD

Previous Requests links

Here are my other requests, as well as those from my teammates:

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