Udemy - Algorithmic Trading Intro Stock Charts & Momentum Strategy
"softddl.org"
4-12-2021, 03:55
-
Share on social networks:
-
Download for free: Udemy -
-
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 56 lectures (5h 12m) | Size: 3.1 GB
For Beginners: Learn To Read Stock Charts: Candlesticks, Alpaca API, Code A Momentum Time Series Strategy With Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 56 lectures (5h 12m) | Size: 3.1 GB
For Beginners: Learn To Read Stock Charts: Candlesticks, Alpaca API, Code A Momentum Time Series Strategy With Python
What you'll learn:
How To Read Stock Charts
Understand Candlestick Charts
Use Python's Alpaca-Trade-Api Library
Execute Stock Trades Using Python (Submit Orders)
Concept of A Time Series Momentum Trading Strategy
Code A Momentum Strategy In Python
Calculate Performance Of Your Strategy
Requirements
You Only Need A Computer & A Gmail Account
No Programming Skills Needed
No Installs Required To Run Python
No Trading or Finance Knowledge Needed
Description
Made for Beginners
If you are interested in learning Algorithmic training but do not have any prior knowledge on trading or computer programming, this course gives a quick overview of some concepts in trading and some Python practice.
Quite often if you enrol in an Algorithmic Trading course, it is assumed that you have some prior knowledge. This course aims to help you with that - to have some prior knowledge before furthering your interest or studies in the Algorithmic Trading direction.
This course is ideal for anyone who has NO PRIOR knowledge of:
finance & trading
the stock market
python
computer progamming
algorithms/algorithmic trading
No Installs For Using Python
Coding Environment: Google Colab
No need to do lengthy, tedious Anaconda installs to run Jupyter Notebook on your laptop
All you need is a Gmail account
Google Colab is one of the top choices of Professional Data Scientists in the real world
Stock Charts
Learn how to read Stock Data on Candlestick charts
Identify if a day had a Bullish vs Bearish trend from looking at Candlesticks
Get familiar with OHLCV Data
Identify A Spinning Top Candlestick
Understand what Spinning Top Candlestick means in terms of predicting stock trends
Use Python's Alpaca-Trade-Api
a python library for the Alpaca Commission Free Trading API
Get Alpaca API Keys
Integrate these keys into your Python code
Time Series Momentum Strategy In Python
The concept of time-series momentum trading is explained with engaging on-screen, hand-drawn visuals
Create a time series momentum strategy using Python
Performance Metrics - Assess The Time Series Momentum Strategy
Calculate the performance of your strategy with the Sharpe ratio
Calculate Buy & Hold revenue without using the strategy
Compare Buy & Hold with the strategy - which performed better?
Who this course is for
If you find Algorithmic trading & the stock market interesting but never actually got around to it
Any beginner who is interested in Algorithmic Trading
Beginners who are unfamiliar with programming
A curiosity to know how Python can be used to execute trades on a stock exchange
Homepage
https://www.udemy.com/course/nidia-algorithmic-trading/
Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
https://hot4share.com/ggnjgfji86mz/ikrbv.A.T.I.S.C..M.S.part1.rar.html
https://hot4share.com/b9wp9d0gd8k9/ikrbv.A.T.I.S.C..M.S.part2.rar.html
https://uploadgig.com/file/download/5a5be2Ff9DdB994B/ikrbv.A.T.I.S.C..M.S.part1.rar
https://uploadgig.com/file/download/5d6dcc1Ae53d5258/ikrbv.A.T.I.S.C..M.S.part2.rar
https://rapidgator.net/file/15ed9e92d48b0ef3c9e7f6992d77aa2b/ikrbv.A.T.I.S.C..M.S.part1.rar.html
https://rapidgator.net/file/37b2466a5662969f7998c9b0fc3f7d89/ikrbv.A.T.I.S.C..M.S.part2.rar.html
https://nitro.download/view/2FA9FE7A422EE5F/ikrbv.A.T.I.S.C..M.S.part1.rar
https://nitro.download/view/9A8075D67B5479D/ikrbv.A.T.I.S.C..M.S.part2.rar
Links are Interchangeable - No Password - Single Extraction
The minimum comment length is 50 characters. comments are moderated