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- Data visualisation: Matplotlib, Seaborn, Plotly, or Tableau
- Statistical analysis: Python libraries (e.g., NumPy, SciPy, StatsModels) or R
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**Submitting authors:** Amir Shojakhani, Helin Wang, Julien Gordon
**Repository:** https://github.com/UBC-MDS/Stock-Price-Trend-Volatility-Analysis
**Report link:** https://github.com/UBC-MDS/Sto…
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# Features
1. Ascending Bubble Sort Method
* Using sorting to sort by each month's 'high' values
2. Monthly Stocks Java
3. Full frontend
## Bubble Sort
[Key Commit 1](https://github.…
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## Building Awareness, Desire, Knowledge, Ability, and Reinforcement
The Learning and Development team members were facing change fatigue. I attended the Prosci ADKAR Change Practitioner certificat…
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https://info.etherscan.com/post/advanced-filter/
Between this and Metamask Portfolio we might use to help figure out what to emphasize in our initial roll out as they clearly have some sense of wha…
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Where, $ADTV is Average Daily Trading Volume in $ terms:
$ADTV = average( close_price \* volume_shares , 90 )
which would be the average $ traded in the security over the last 90-days
This will all…
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First of all thanks for the great work. This package is amazing!
I think apart from moving averages and related bollinger bands, indicators like RSI would add relative strength to the package (pun …
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https://rpubs.com/Felix/6653
http://rpubs.com/Mohammed/Trading_Basics
Signals in the examples
https://cran.r-project.org/web/packages/tidyquant/vignettes/TQ02-quant-integrations-in-tidyquant.html
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I found your project extremely useful for my university project. I am working on clustering analysis on COVID 19 Analysis, and to give some report from the conclusions it derived from different cluste…
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After selecting the strategy, we conducted backtesting for the PSPB quality factor. As a result, we obtained the top 10% of stocks from the selected pool (target stocks). This is because our subsequen…