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Standard Deviation Tool Python Yahoo Finance - Trading&Investment Quantitative Tools

Standard Deviation between two titles

Ready-to-use compiled script in Python language, created for quantitative data processing on Yahoo Finance. Inside the file you will find the PDF manual for correct installation and operation.

Thanks to HS tool scripts you will be able to:
- Save huge amounts of time in doing complex calculations
- Automate the processing of your calculations
- Increase the efficiency of your analyzes by avoiding errors in complex calculations
- Quickly and easily find data from all world markets
- Carry out professional analyzes for your investments

Tool management difficulty: Low

€8.95

  • Politiche per la sicurezza (modificale con il modulo Rassicurazioni cliente) Politiche per la sicurezza (modificale con il modulo Rassicurazioni cliente)
  • Politiche per le spedizioni (modificale con il Modulo rassicurazioni cliente) Politiche per le spedizioni (modificale con il Modulo rassicurazioni cliente)
  • Politiche per i resi merce (modificale con il Modulo rassicurazioni cliente) Politiche per i resi merce (modificale con il Modulo rassicurazioni cliente)
Characteristics:
- Calculation of the standard deviation of an asset
- Dynamic and variable period analysis
- Extended historians
- Easy to install

By adjusting the date and ticker of the underlyings you can download data in a few clicks to:
- Global stock market
- Global indices
- Raw material
- Precious metals
- Cryptocurrencies (Large cap only)
- Bond market
- Derivatives (Futures, options and more)
- Investment funds
- ETFs / ETCs / SICAVs etc.

What is Standard Deviation and what is it used for?
Statistical index of dispersion around the average of the stock's returns. In finance it is used to measure the risk of a given asset. The greater the distance from the average, the greater the volatility. If volatility increases, so does the risk of having returns that are far from the expected return, both up and down. In fact, as the standard deviation increases, the distribution around the mean decreases, therefore the risk of being far from the mean increases. In terms of returns, the risk of having returns far from the expected return increases, both upwards and downwards.

A common use within the strategies of fund managers is to calculate the result over different periods and compare them with other assets to optimize the stock picking process and select the most qualitative asset.

Programming language: Python
Available for all versions of Python
Libraries needed:
- Pandas
- Pandas Datareader
- Datetime
- Math

STEPS TO START OUR SCRIPT TOOLS:
1) INSTALL PYTHON
2) INSTALL THE NECESSARY LIBRARIES FROM THE COMMAND PROMPT
3) OPEN THE FILE CONTAINING THE TOOL
4) SET UP THE TOOL ACCORDING TO THE NEED OF THE INVESTOR
5) START THE TOOL

Each of our tool scripts is designed to be easily used by all those who have no knowledge in programming.

Python
1000 Items

Specific References