Jut wanted to add … i found this info that might be useful dont know
Source Sharing Open Source NSE Data
Jut wanted to add … i found this info that might be useful dont know
Source Sharing Open Source NSE Data
Jut wanted to add … i found this info that might be useful dont know
Source Sharing Open Source NSE Data
Jut wanted to add … i found this info that might be useful dont know
Source Sharing Open Source NSE Data
Hello fellow investors,
I wanted to share some thoughts and seek your insights on Sunflag Iron’s recent financial decisions. As many of you might know, Sunflag Iron holds shares worth 4000 crore rupees in Lloyd Metals. Rather than liquidating these shares to pay off its own debt or to invest in expanding its operations, the company has chosen to further subscribe to the warrants of Lloyd Metals, committing even more cash.
Reference: https://www.bseindia.com/xml-data/corpfiling/AttachHis/7d477533-6d46-440b-aaf3-f1b17866edc1.pdf
This decision has raised a few questions for me:
Strategic Alignment: What might be the strategic reasons behind this move? Is there a potential synergy or future benefit that Sunflag Iron sees in Lloyd Metals that justifies further investment?
Financial Health: How does this decision impact Sunflag Iron’s financial health in the short and long term? What risks does this additional cash commitment entail?
Alternative Uses: Would it have been more prudent for Sunflag Iron to sell the shares and use the proceeds for debt reduction or to invest in its core business operations?
I’m eager to hear your perspectives and analyses on this. Why do you think Sunflag Iron is taking this approach, and what do you believe the implications might be for us as investors?
Hello fellow investors,
I wanted to share some thoughts and seek your insights on Sunflag Iron’s recent financial decisions. As many of you might know, Sunflag Iron holds shares worth 4000 crore rupees in Lloyd Metals. Rather than liquidating these shares to pay off its own debt or to invest in expanding its operations, the company has chosen to further subscribe to the warrants of Lloyd Metals, committing even more cash.
Reference: https://www.bseindia.com/xml-data/corpfiling/AttachHis/7d477533-6d46-440b-aaf3-f1b17866edc1.pdf
This decision has raised a few questions for me:
Strategic Alignment: What might be the strategic reasons behind this move? Is there a potential synergy or future benefit that Sunflag Iron sees in Lloyd Metals that justifies further investment?
Financial Health: How does this decision impact Sunflag Iron’s financial health in the short and long term? What risks does this additional cash commitment entail?
Alternative Uses: Would it have been more prudent for Sunflag Iron to sell the shares and use the proceeds for debt reduction or to invest in its core business operations?
I’m eager to hear your perspectives and analyses on this. Why do you think Sunflag Iron is taking this approach, and what do you believe the implications might be for us as investors?
The NSE Bhavcopy contains daily information about all securities traded on the NSE, including the list of stocks and their trading data. You can use the Bhavcopy to compile historical lists of the top 200 stocks. Here’s how you can do it:
import pandas as pd
import glob
# Path to the folder containing the downloaded Bhavcopy files
path = "path/to/bhavcopy/files"
# Load all CSV files
all_files = glob.glob(path + "/*.csv")
# Initialize an empty DataFrame to store top 200 stocks
top_200_stocks = pd.DataFrame()
# Process each Bhavcopy file
for file in all_files:
df = pd.read_csv(file)
df['Date'] = pd.to_datetime(file.split('/')[-1].split('.')[0], format='%d%m%Y')
# Sort by desired metric, e.g., market capitalization
df = df.sort_values(by='MARKET_CAPITALIZATION', ascending=False)
# Select top 200 stocks
top_200 = df.head(200)
# Append to the main DataFrame
top_200_stocks = pd.concat([top_200_stocks, top_200])
# Save the result to a CSV file
top_200_stocks.to_csv('top_200_stocks_historical.csv', index=False)
By using the NSE Bhavcopy and processing it with a script, you can compile a historical list of the top 200 stocks over the desired period.
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