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Here is the first tutorial of the course to learn python basics.

Only serious learners are requested to watch. Here my intention is not view count but whoever watch expecting to watch it completely and get some knowledge out of it.

https://t.co/pb0kcJefxK

Nano Course On Python For Trading
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Module 3

In this post, I will attempt to teach you how to write an algorithm in python to automatically find support and resistance. We shall use the data we downloaded in module 2.

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To visualize price action, I have used the daily candlestick chart. To quantify the meaning of support and resistance, I have taken below definitions:
In a series of 5 continuous candles, if the first three candles make increasing high and then 2 decreasing highs, then the

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high of the third candle is considered resistance. Similarly, if the first 3 candles make lower lows and the next 2 make high lows then the low of the third candle is support.

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The above explanation is for the sake of quantifying support and resistance at a very basic level. These are called fractals. Now let's get started with the code.

mpl_finance is the new module here. We will use its candlestick_ohlc function.

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Now, if you remember, you downloaded data for nifty 50 stocks in module 2. We shall use that data. Let's work on ITC data this time.
We will use data from 1 Jan 2021 to 30 June 2021.

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Nano Course On Python For Trading
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Module 3-B (Bonus)

In this Bonus Module, I will attempt to teach you how to write an algorithm to create a Stock Screener based on @markminervini 's Trend Template from his book Trade Like A Stock Market Wizard.

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Some of the readers asked about how to create a stock screener. So, I thought before jumping to the cloud and deploying an algorithm on the cloud, I should address this. Whatever algorithm we develop in this module, we will deploy it on the cloud in Module number 4.

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Pre-requisites:

• Read Module 2, so that you can download the historical data. A small assignment for you - write code to automate EOD data download and save it in the folder. We need to have the latest data for the screener. Hint: set end_date =

The rules are:

• The LTP of the stock > 150 SMA & 200 SMA
• The 150 SMA > 200 SMA
• The 200 SMA must be greater than 200 SMA 30 days ago.
• The 50 SMA > 150 SMA & 50 SMA > 200 SMA
• The LTP > 50 SMA
• The LTP must be greater than 30% of 52-Week Low

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• The LTP is close to 25% of the 52-Week High
• The Relative Strength(RS) should be greater than 70

SMA = Simple Moving Average
LTP = Last Traded Price

Let's get started with its coding.

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