Guys,
Use this python script to get the EOD data for yourself.
csv format data, you can use it for your analysis/back testing.
I think you can import it into amiborker and plot charts and analyse.
There are lot of options available out there to pull forex data, crypto currency data, technical indicators data.
Features:
* Get data as long as a particular stock exists(you need to change start date).
* csv file for each stock seperately.
* When you run again, it will append data in the same file.(if earlier data collected till Apr-7, when you run again, it will collect starting for apr-8)
* If you are python aware, you can tweak it as per your requirement/stocks.
* Don't run it on market hours, it might get stuck, also it might get only till earlier day.
* For minor modifications, reach out to me.
* if the script is stuck, give ctl+c once, so it moves to next stock
Here is the script attached.
Steps to execute
1. Install python (free)
2. cmd prompt (all packages free)
pip install pandas
pip install nsetools
pip install nsepy
3. run -> python nseEOD.py <output directory>
sample : python nseEOD.py 'C:\Users\Kamal\Documents\StockData\EOD'
4. You will start seeing the files in the given directory
Use this python script to get the EOD data for yourself.
csv format data, you can use it for your analysis/back testing.
I think you can import it into amiborker and plot charts and analyse.
There are lot of options available out there to pull forex data, crypto currency data, technical indicators data.
Features:
* Get data as long as a particular stock exists(you need to change start date).
* csv file for each stock seperately.
* When you run again, it will append data in the same file.(if earlier data collected till Apr-7, when you run again, it will collect starting for apr-8)
* If you are python aware, you can tweak it as per your requirement/stocks.
* Don't run it on market hours, it might get stuck, also it might get only till earlier day.
* For minor modifications, reach out to me.
* if the script is stuck, give ctl+c once, so it moves to next stock
Here is the script attached.
Steps to execute
1. Install python (free)
2. cmd prompt (all packages free)
pip install pandas
pip install nsetools
pip install nsepy
3. run -> python nseEOD.py <output directory>
sample : python nseEOD.py 'C:\Users\Kamal\Documents\StockData\EOD'
4. You will start seeing the files in the given directory
Attachments
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