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E-Books / Video TrainingHarmonic Patterns Algo–trading With Python And Binance&bybit



Harmonic Patterns Algo–trading With Python And Binance&bybit
Free Download Harmonic Patterns Algo–trading With Python And Binance&bybit
Published 2/2024
Created by ADEBISI kehinde
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 198 Lectures ( 28h 26m ) | Size: 10.1 GB


HARMONIC PATTERNS ALGORITHMIC TRADING WITH PYTHON USING BINANCE AND BYBIT EXCHANGES(SPOT AND FUTURES TRADING)
What you'll learn:
Harmonic Patterns in Trading : Recognition and Interpretation - identify and interpret various Harmonic Patterns such as Gartley, Cypher,Butterfly, Bat etc.
Understand how to incorporate Harmonic Patterns into effective algorithmic trading strategies
Learn to code and implement Harmonic patterns algorithmic trading strategy using python with Binance and Bybit Exchanges plus CCXT(Spot and Futures Trading)
Interact with automating Telegram messages directly from your bot
Run your code directly in the cloud 24/7 using AWS
Deep Dive into the Binance API (Spot & Futures)
Load Historical Market Data (Price, Volume and more) from Crypto Spot & Futures Markets
Stream high-frequency real-time Cryptocurrency Data
API Trading with Binance and Bybit Exchanges
Get programmatic access to many Crypto Exchanges with the CCXT Library
Backtesting,Optimization , Forward Testing and live Testing (Paper Trading)
Requirements:
No Finance or Trading knowledge required. You will learn everything you need to know.
Fundamental Python Skills : While the course covers Python Programming, having a foundational understanding of Python or Programming concepts will be advantageous.
Access to a Computer : Participants should have access to a computer or laptop for the practical aspects of the course, including coding exercises and project work.
Internet Connection : A stable internet connection necessary .
Binance and Bybit accounts : To fully engage in the practical aspects of the course, Students should have accounts on Binance and Bybit exchanges.
Software and Tools : Ensure the necessary software tools are installed such as a Python development environment(e.g Anaconda and Pycharm), relevant libraries and any specific tools recommended in the course.
Commitment to Learning : Algorithmic trading involves both theory and practice. Students should be committed to actively participating in the course and engaging in hands-on projects.
Description:
Welcome to a comprehensive journey into the world of algorithmic trading, where precision meets profitability. The course, "Harmonic Patterns Algorithmic Trading with Python Using Binance and Bybit Exchanges," is your gateway to mastering sophisticated trading strategies and harnessing the power of Harmonic Patterns. The ultimate goal of this course is " Creating powerful and fully automated Harmonic Patterns Trading Bots for Spot Trading and Futures Trading that run on AWS."What You'll Learn: Harmonic Patterns Decoded: Demystify the art of trading by understanding and leveraging Harmonic Patterns. From Gartley,Butterfly,Cypher,Crab,Deep Crab,Shark,Bat,Alternate Bat to Swan patterns, you'll gain a profound insight into how these patterns can be your guide in the tumultuous waters of financial markets. Python Mastery for Trading: Embrace the language of financial wizards – Python. Whether you're a coding novice or an experienced developer, Our course takes you step-by-step through implementing powerful trading algorithms using Python. Hands-On Practicality: Theory is just the beginning. Dive into hands-on projects that simulate real-market scenarios. Learn to code and execute trades using Binance, CCXT (Python library), and Bybit for both spot and futures exchanges. Binance, CCXT, and Bybit Mastery: Take charge of your trading journey with insights into three key exchanges. Understand the nuances of Binance, harness the capabilities of CCXT, and delve into the dynamic world of Bybit for both spot and futures trading.The course is in five Parts:Part 1: FoundationWhy Algorithmic trading?Trading and InvestmentWhy trading Cryptocurrency?Binance(Overview)Installations of Anaconda and Pycharm Binance APIPart 2: Building the Harmonic Patterns StrategyHarmonic PatternsInstalling the necessary Python packagesGetting Historical DataBuilding the StrategyBacktesting,Optimization and Forward Testing of the Strategy.Part 3: Automated Spot TradingImplementation/Automation of our StrategyAutomated (Paper Trading)Telegram InclusionAWS Trading BotPart 4: Automated Futures TradingFutures TradingMargin TradingBinance Futures APIReal Trading and Paper Trading with the Binance Futures APIImplementation of the Harmonic Patterns StrategyPart 5 : API Trading with CCXTAccessing the CCXT LibraryAPI Trading with Binance and CCXTBybit (Overview)API Trading with Bybit API Trading with Bybit and CCXTImplementation/Automation of the Harmonic Patterns Strategy.Embark on this transformative journey and elevate your trading game. Enroll now and uncover the secrets to successful Harmonic Patterns Algorithmic Trading with Python on Binance, CCXT, and Bybit exchanges.
Who this course is for:
Aspiring Traders : Individuals with a keen interest in Cryptocurrency trading and a desire to learn algorithmic strategies to gain a competitive edge in the market.
Programmers and Developers : Python Programmers looking to enhance their skills and apply their knowledge in the exciting field of algorithmic trading.
Crypto Enthusiasts : Anyone passionate about cryptocurrencies and seeking to deepen their understanding of market dynamics and effective trading techniques.
Both experienced traders or programmers who want to learn an advanced and objective trading strategy
Trading enthusiasts who have very basic programming experience.
Data Scientists and Machine Learning Professionals with an interest in Trading and Cryptocurrencies.
Cryptorcurreny Traders and Investors who want to professionalize and automate their Business with a more reliable Strategy.
Homepage
https://www.udemy.com/course/harmonic-patterns-algo-trading-with-python-and-binancebybit/








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