From c3949b10764903b084e3d5d50d99848b94d0c4a6 Mon Sep 17 00:00:00 2001 From: Apurv Shah <43690373+ApurvShah007@users.noreply.github.com> Date: Thu, 2 Jul 2020 20:51:25 -0500 Subject: [PATCH] Create Learning_Plan.md --- Learning_Plan.md | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) create mode 100644 Learning_Plan.md diff --git a/Learning_Plan.md b/Learning_Plan.md new file mode 100644 index 0000000..762d25a --- /dev/null +++ b/Learning_Plan.md @@ -0,0 +1,19 @@ +I have found multiple online courses and I have decided to base my learning on the path given in the Algorithmic Trading course on Udacity. + +Step 1 is identifying which stock statistics are actually important to visualize and what they mean. It is also important to get accustomed with the very +powerful Pandas Library and other complementary libraries such as Matplotlib and NumPy and SciPy and Seaborn. + +Step 2 is understanding the widely used Financial Strategies and the basic financial concepts that govern the everyday trading process. It also important +to understand what the key indicators are while making a decision and also crucial to know that no-one should rely on a single indicator to make any decision. +I have resorted mainly to the Bloomberg Marketing Concepts and other few online educatoinal courses to get a good hang and understanding +of some of the basic concepts. + +Step 3 is learning and understanding the underlying machine-learning techniques and trying to recognize which one is more effective and what kind of data +is to be fed in which kind of model. + +As of June 2020, I am still on steps 1 and 2 and am trying my best everyday to gain as much knowledge as possible. I will continue to push files that summarize +my learning of the key concepts and the underlying code with commented explaination. Many of these files contain functions that have been used in further +files so the code duplication is to bare minimum. This is a great resource mfor aosmone starting off in financial data visaulisation and does not want code all the +bsics from scratch. +Anyone is welcome to download these files and import and use them in their own endeavours. Anyone interested can learn from this or contribute to it to make this repository +a valuable resource.