Published 7/2024
Created by Cheng Li
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 617 Lectures ( 13h 37m ) | Size: 4.6 GB
Code Fully Functioning Trading Bots Capable of Backtesting and Live Trading using Python with a Focus on US stocks
What you’ll learn:
Code trading bots entirely by yourself.
Backtest your strategies.
Live trade your strategies.
Trade an unlimited number of stocks with just 1 trading bot.
Code a market scanner and use it for trading signals.
Analyze historical stock data.
Use an unlimited number of indicators for entry/exit signals.
Analyze LIVE news releases of companies for trading signals.
Work with high frequency data up to the second.
Requirements:
Have a computer and an internet connection.
No prior programming experience needed, I will teach you everything you need!
Description:
Welcome to the complete course on coding trading bots using Python, the only course you need to teach you how to code trading bots from zero to hero!Why choose this course?Learn multifunctional skills: This course is taught using US stocks as the subject of running trading bots on because stocks are the easiest to handle, they don’t have expiration dates, unlike futures and options. The skills learned in this course can be applied to multiple other asset classes (i.e. options, futures, crypto, options on futures…).Made for average Joes by an average Joe: I’m not a computer science person, I didn’t graduate from an Ivy League school and didn’t have perfect GPA. In this course, I will be talking to you as an average Joe, I won’t use terms that normal people don’t understand and I won’t assume that you know or understand any concepts beforehand. Skip the unnecessary fluff: The entire course is only about 13+ hours long because we’re only learning the Python skills that are absolutely necessary and directly applicable to coding trading bots.Handheld learning experience: Learning coding can be a daunting endeavor, in this course I try to balance the learning curve to your advantage by, for lack of a better word, spoon-feeding each concept to you.Examples based: To make your learning process even easier, this course is taught almost entirely using 290+ examples that are crafted for practical applications.Downloadable content: To make your learning process even x2 easier, all example code files and PowerPoint presentations are downloadable! During my student years, I learned that it’s not enough to just listen to a lecture, if you have the content on hand while listening, it exponentially increases your ability to absorb the content!Quality guaranteed: This course was developed over a period of three years, revised 3 times and reviewed 3 times before being launched on Udemy.Constantly updated: I will constantly be updating the course to cover information that I might have missed based on common questions that students ask. I’ll also be redoing videos if you think I sounded too soft in some of them… Bunch of updates…Q&A encouraged 100%: To make this course better for everyone, I’ll be answering Q&As everyday. I’m also looking to do live Q&A sessions every Wednesdays and Saturdays to answer questions that are too difficult to describe when typing. Course content:This course has 41 chapters and split up into 2 parts: Python essentials and QuantConnect essentials. In Python essentials, we learn the necessary Python skills directly applicable to coding trading bots. In QuantConnect essentials, we learn how to utilize those Python skills to code trading bots for backtesting and live trading on QuantConnect.QuantConnect is an open-source, cloud-based algorithmic trading platform for equities, FX, futures, options, derivatives and cryptocurrencies (for average Joes, it’s a website for backtesting and live trading).We start from the basics and slowly work our way up step-by-step, in each subsequent chapter, we learn to utilize knowledge learned in earlier chapters.Python Essentials concepts:Basic object types (strings, integers, floats, Booleans)Print functionVariablesConditional statementsListsDictionariesFunctionsObject oriented programmingTuplesstatistics librarydatetime librarypandas libraryException handlingQuantConnect Essentials concepts:File management on QuantConnectDebuggingLoggingAccessing dataOrder managementRisk managementScheduled eventsHistorical dataConsolidating dataIndicatorsUniverse selection (market scanner)How to backtest?How to interpret backtest resultsHow to live trade?Tips and common mistakes (based on my experience)Why am I qualified to teach you?I am a Fiverr Pro seller (only the top 1% of sellers on Fiverr get this honor) who teaches the knowledge taught in this course to my students (some work in the biggest banks in the world, i.e. Credit Suisse, Citibank) and code trading bots for clients on Fiverr. By doing so, I earned 160+ 5-star reviews and Top Rated Seller status. Fiverr profile: licheng906 I am also a certified integration partner on QuantConnect, you can find my profile on QuantConnect’s integration partners page (I can’t provide a link on this description unfortunately).I look forward to making your learning journey a smooth and easy one!
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