Download Udemy - Python Interactive Algorithmic Trading Assistant with APIs torrent

Udemy - Python Interactive Algorithmic Trading Assistant with APIs

Torrent:	Udemy - Python Interactive Algorithmic Trading Assistant with APIs
Description:	Python Interactive Algorithmic Trading Assistant with APIs MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning \| Language: English + srt \| Duration: 58 lectures (6h 20m) \| Size: 3.4 GB With Python and trading basics, build your own algorithmic trading assistant/dashboard including broker API integration What you'll learn: Build your own Python algorithmic trading assistant using FREE and easily accessible web tools Utilize Anaconda's Jupyter Lab Python environment Access historical financial data from yfinance, Robinhood and Alpaca using APIs Apply technical indicators to historical financial datasets Build custom algorithmic strategies Interact with broker APIs Build an interactive trading assistant using Plotly/Dash Automated trade execution Requirements Basic Python skills (variable assignments and type recognition, functions and importing libraries) are recommended. This course will provide working templates with detailed comments to help even the most basic python users get started. Robinhood and Alpaca brokerage accounts will be used during this course. If your broker of choice has API integration, the principals in this course will also apply. Basic to intermediate understand of trading and financial indicators Description Utilizing the basics of Python and trading, students in this class will learn to program their own algorithmic trading strategies and how to display them for analysis in an interactive dash assistant. The use of free web tools and API calls removes the leg work normally associated with monitoring multiple securities simultaneously, and running each through your created strategies. Whether you want to be an active or passive investor, long or short-term trader, there is truly something in here for everyone! Students should expect a detailed and well-paced course that contains 58 lectures and 19 python notebooks with easy-to-follow examples. This course will differentiate itself not only with content and flow, but with actual take-away coding samples downloadable upon the start of our course. These Python notebooks are free to be used by any students as basic building blocks for their own custom applications or live trading dashboards. https://TutGee.com
Downloads:	142
Category:	Other /Tutorials
Size:	3.9 GB
Show Files »	[ TutGee.com ] Udemy - Python Interactive Algorithmic Trading Assistant with APIs Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction 1. Introduction.mp4 (31.6 MB) 1. Introduction.srt (6.6 KB) 2. Course Outline and Risk Disclosure.mp4 (38.8 MB) 2. Course Outline and Risk Disclosure.srt (8.3 KB) 2. Brokerage and Trading Environment Overview 1. Section Overview.mp4 (10.4 MB) 1. Section Overview.srt (2.4 KB) 2. Broker Review.mp4 (24.8 MB) 2. Broker Review.srt (5.2 KB) 2.1 Alpaca.html (0.1 KB) 2.2 Robinhood.html (0.1 KB) 3. Setting up Course Content and Login Information.mp4 (46.3 MB) 3. Setting up Course Content and Login Information.srt (9.3 KB) 3.1 alpaca_account_and_portfolio.ipynb (3.2 KB) 3.10 dash_manual_callbacks.ipynb (11.6 KB) 3.11 ema_strategy.ipynb (5.4 KB) 3.12 ema_trading_dashboard.ipynb (43.2 KB) 3.13 macd.ipynb (2.2 KB) 3.14 momentum_metrics.ipynb (2.0 KB) 3.15 momentum_strategy.ipynb (3.6 KB) 3.16 momentum_trading_dashboard.ipynb (43.9 KB) 3.17 robinhood_historical_data.ipynb (1.9 KB) 3.18 rsi.ipynb (2.3 KB) 3.19 stochastics.ipynb (2.2 KB) 3.2 alpaca_functions.ipynb (8.9 KB) 3.20 yfinance_historical_data.ipynb (1.4 KB) 3.3 alpaca_historical_data.ipynb (2.2 KB) 3.4 alpaca_orders.ipynb (5.1 KB) 3.5 alpaca_positions_and_orders.ipynb (4.1 KB) 3.6 base_application.ipynb (18.5 KB) 3.7 credentials.json (0.3 KB) 3.8 dash_applications.ipynb (7.4 KB) 3.9 dash_auto_callbacks.ipynb (11.9 KB) 4. Installing Anaconda.mp4 (8.3 MB) 4. Installing Anaconda.srt (2.1 KB) 4.1 Anaconda Individual Addition.html (0.1 KB) 5. Installing Python Modules.mp4 (17.7 MB) 5. Installing Python Modules.srt (3.9 KB) 6. Accessing Jupyter Lab.mp4 (6.5 MB) 6. Accessing Jupyter Lab.srt (1.7 KB) 7. Basics Used in Course.mp4 (26.4 MB) 7. Basics Used in Course.srt (5.9 KB) 7.1 Learn Python with Rune.html (0.1 KB) 7.2 Numpy.html (0.1 KB) 7.3 Pandas.html (0.1 KB) 7.4 Plotly.html (0.1 KB) 7.5 Python Basics.html (0.1 KB) 8. Basics Quiz.html (0.2 KB) 3. Accessing Financial Data via APIs 1. Section Overview.mp4 (16.7 MB) 1. Section Overview.srt (4.0 KB) 10. Robinhood Introduction.mp4 (6.3 MB) 10. Robinhood Introduction.srt (1.1 KB) 11. Robinhood API Documentation Review.mp4 (38.2 MB) 11. Robinhood API Documentation Review.srt (6.4 KB) 11.1 Robinhood API Documentation.html (0.1 KB) 12. Robinhood Coding Example.mp4 (70.3 MB) 12. Robinhood Coding Example.srt (10.0 KB) 13. Robinhood Historical Data Quiz.html (0.2 KB) 2. yfinance Introduction.mp4 (2.6 MB) 2. yfinance Introduction.srt (0.8 KB) 3. yfinance API Documentation Review.mp4 (27.0 MB) 3. yfinance API Documentation Review.srt (6.4 KB) 3.1 yfinance.html (0.1 KB) 4. yfinance Coding Example.mp4 (50.5 MB) 4. yfinance Coding Example.srt (7.0 KB) 5. yfinance Historical Data Quiz.html (0.2 KB) 6. Alpaca Introduction.mp4 (7.7 MB) 6. Alpaca Introduction.srt (1.3 KB) 7. Alpaca API Documentation Review.mp4 (17.4 MB) 7. Alpaca API Documentation Review.srt (3.5 KB) 7.1 Alpaca Documentation.html (0.1 KB) 8. Alpaca Coding Example.mp4 (72.3 MB) 8. Alpaca Coding Example.srt (10.5 KB) 9. Alpaca Historical Data Quiz.html (0.2 KB) 4. Adding Technical Indicators to our Financial Datasets 1. Section Overview.mp4 (28.5 MB) 1. Section Overview.srt (5.6 KB) 1.1 MACD Description.html (0.1 KB) 1.2 MACD Video.html (0.1 KB) 1.3 Relative Strength Index Description.html (0.1 KB) 1.4 Relative Strength Index Video.html (0.1 KB) 1.5 Stochastics Description.html (0.1 KB) 1.6 Stochastics Video.html (0.1 KB) 10. Stochastics Test Your Knowledge Quiz.html (0.2 KB) 2. Relative Strength Index (RSI) Introduction.mp4 (5.5 MB) 2. Relative Strength Index (RSI) Introduction.srt (2.7 KB) 2.1 RSI - Python with Rune.html (0.2 KB) 3. Relative Strength Index (RSI) Coding Example.mp4 (130.9 MB) 3. Relative Strength Index (RSI) Coding Example.srt (19.2 KB) 4. RSI Test Your Knowledge Quiz.html (0.2 KB) 5. Moving Average Convergence Divergence (MACD) Introduction.mp4 (16.2 MB) 5. Moving Average Convergence Divergence (MACD) Introduction.srt (1.9 KB) 5.1 MACD - Python with Rune.html (0.2 KB) 6. Moving Average Convergence Divergence (MACD) Coding Example.mp4 (74.2 MB) 6. Moving Average Convergence Divergence (MACD) Coding Example.srt (11.8 KB) 7. MACD Test Your Knowledge Quiz.html (0.2 KB) 8. Stochastics Oscillator Introduction.mp4 (16.2 MB) 8. Stochastics Oscillator Introduction.srt (2.2 KB) 8.1 Stochastics - Python with Rune.html (0.2 KB) 9. Stochastics Oscillator Coding Example.mp4 (71.6 MB) 9. Stochastics Oscillator Coding Example.srt (11.1 KB) 5. Creating Trading Strategies 1. Section Overview.mp4 (21.4 MB) 1. Section Overview.srt (5.4 KB) 2. Example Trading Strategy 1 Momentum Strategy Overview.mp4 (30.6 MB) 2. Example Trading Strategy 1 Momentum Strategy Overview.srt (4.5 KB) 3. Momentum Strategy Coding Example.mp4 (187.0 MB) 3. Momentum Strategy Coding Example.srt (23.8 KB) 4. Momentum Strategy Quiz.html (0.2 KB) 5. Example Trading Strategy 2 3 Exponential Moving Average Strategy Overview.mp4 (46.7 MB) 5. Example files
Added:	2021-10-18 11:05:11
Language:	English
Peers:	Seeders : 18 , Leechers : 18
Release name:	Udemy - Python Interactive Algorithmic Trading Assistant with APIs
Trackers:	udp://tracker.torrent.eu.org:451/announce udp://tracker.tiny-vps.com:6969/announce http://tracker.foreverpirates.co:80/announce udp://tracker.cyberia.is:6969/announce udp://exodus.desync.com:6969/announce udp://explodie.org:6969/announce udp://tracker.opentrackr.org:1337/announce udp://9.rarbg.to:2780/announce udp://tracker.internetwarriors.net:1337/announce udp://ipv4.tracker.harry.lu:80/announce udp://open.stealth.si:80/announce udp://9.rarbg.to:2900/announce udp://9.rarbg.me:2720/announce udp://opentor.org:2710/announce