Crypto trading is volatile, exciting, and potentially very profitable. This course will get you up to speed on technical analysis, risk management, and trading strategies.
Algorithmic Trading & Technical Analysis Course
6h 22m 50s
English
Paid
Ivan and Filip walk you through everything you need to set up a trading strategy. Learn how to read candlesticks, moving averages, trends, and much more. At the end of this course, you'll understand how to manage risk, and be ready to trade confidently.
About the Author: Moralis Academy
Moralis Academy is the educational arm of Moralis, a Web3 development platform that provides Ethereum and EVM-chain APIs (RPC, indexing, NFT data) to dapp developers. The academy publishes paid courses on blockchain development and on the trading / DeFi side of crypto.
The CourseFlix listing carries two Moralis Academy courses on the trading / DeFi side: Master DeFi in 2022 and Algorithmic Trading & Technical Analysis Course. Material is paid; the year in the DeFi course title reflects how fast the protocol landscape moves — concepts remain valid but specific protocol mechanics may have evolved since the recording.
Watch Online 79 lessons
0:00
/ #1: Welcome by Ivan & Filip
All Course Lessons (79)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Welcome by Ivan & Filip Demo | 03:30 | |
| 2 | Course Contents Explained | 07:17 | |
| 3 | Important – Community Forum | 03:08 | |
| 4 | Prerequisites | 01:32 | |
| 5 | Overview | 03:03 | |
| 6 | Candlesticks | 04:56 | |
| 7 | Chart Introduction | 05:38 | |
| 8 | Trends | 05:41 | |
| 9 | Candlestick Context | 03:15 | |
| 10 | Moving Averages Part 1 | 03:09 | |
| 11 | Moving Averages Part 2 | 06:54 | |
| 12 | Support | 05:13 | |
| 13 | Resistance | 06:37 | |
| 14 | Trends & Channels | 06:02 | |
| 15 | Flags | 04:45 | |
| 16 | Chart Patterns | 04:19 | |
| 17 | Volume | 05:11 | |
| 18 | Introduction | 00:45 | |
| 19 | Orders | 04:46 | |
| 20 | Order Book | 06:08 | |
| 21 | Positions | 04:30 | |
| 22 | Stop Loss | 04:18 | |
| 23 | Take Profit | 02:45 | |
| 24 | Introduction | 01:04 | |
| 25 | How to Build a Trading Strategy – Overview | 06:21 | |
| 26 | Step 1: Idea | 03:23 | |
| 27 | Step 2: Instrument & Data | 02:10 | |
| 28 | Step 3: Model | 05:06 | |
| 29 | Step 4: Back-testing | 05:52 | |
| 30 | Step 5: Evaluating | 05:35 | |
| 31 | Step 6: Risk Assesment | 08:16 | |
| 32 | Step 7: Position Size | 02:00 | |
| 33 | Introduction | 00:23 | |
| 34 | Tradingview Overview | 07:06 | |
| 35 | Strategy Tester | 04:01 | |
| 36 | Introduction | 01:16 | |
| 37 | Variables | 05:26 | |
| 38 | Functions | 02:58 | |
| 39 | Indicators | 02:17 | |
| 40 | Building a Simple Strategy | 09:10 | |
| 41 | Introduction | 01:58 | |
| 42 | Idea | 02:38 | |
| 43 | Instrument & Data | 01:30 | |
| 44 | Model | 04:17 | |
| 45 | Programming | 05:02 | |
| 46 | Back testing Part 1 – Enabling Datasets Selection | 07:01 | |
| 47 | Back testing Part 2 – Selecting Datasets | 04:42 | |
| 48 | Back testing Part 3 – Tweaking | 07:43 | |
| 49 | Back testing Part 4 – Testing on New Data | 04:25 | |
| 50 | Back testing Part 5 – Summary | 03:16 | |
| 51 | Future Inspiration | 06:06 | |
| 52 | Introduction | 00:59 | |
| 53 | Risk Management Formula | 04:15 | |
| 54 | Stop Loss & Position Size | 06:54 | |
| 55 | Potential | 01:53 | |
| 56 | Conclusion | 01:24 | |
| 57 | Introduction | 04:48 | |
| 58 | API Introduction & Overview | 08:48 | |
| 59 | NodeJS & Javascript Execution Explained | 01:36 | |
| 60 | Installing NodeJS & Atom | 02:47 | |
| 61 | Executing Simple Javascript | 03:56 | |
| 62 | NPM Explained | 03:10 | |
| 63 | NPM Initializing Project | 05:50 | |
| 64 | Why Gemini Exchange? | 04:24 | |
| 65 | Gemini Yarn Install | 08:39 | |
| 66 | Using Gemini – BUY ORDER | 11:51 | |
| 67 | Gemini API Walktrough | 09:52 | |
| 68 | CryptoCompare Setup | 03:34 | |
| 69 | Importing CryptoCompare | 01:16 | |
| 70 | Getting Market Data From CryptoCompare | 05:40 | |
| 71 | Creating hourly MA Indicator | 20:17 | |
| 72 | Creating Indicators File | 06:12 | |
| 73 | Creating Market Order at Gemini | 04:50 | |
| 74 | Creating Exchange Module | 05:30 | |
| 75 | Scripting Gemini Buy Bitcoin Shortcut | 01:33 | |
| 76 | Building MA Strategy | 19:12 | |
| 77 | Conclusion, Improvements, Variations & Next Steps | 03:40 | |
| 78 | Thank You by Ivan & Filip | 01:20 | |
| 79 | Share your latest skills with your network | 04:16 |
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Frequently asked questions
What prerequisites should I have before enrolling in this course?
Before enrolling, it's beneficial to have a basic understanding of cryptocurrency markets and general trading concepts. Familiarity with programming concepts, especially JavaScript, will be helpful since the course involves using NodeJS and JavaScript for strategy building. The course itself outlines prerequisites in one of its introductory lessons.
What kind of trading strategies will I learn to build in this course?
The course covers the development of algorithmic trading strategies. You'll learn to create strategies by following a structured process: starting with an idea, selecting instruments and data, building a model, back-testing, evaluating, and assessing risk. The course includes practical exercises such as using TradingView for strategy testing and building a simple strategy using programming techniques.
Who is the intended audience for this course?
This course is designed for individuals interested in crypto trading, specifically those who want to apply technical analysis and develop algorithmic trading strategies. It's suitable for both beginners who have the necessary prerequisites and more advanced traders looking to refine their strategy development skills. The target audience includes both technical and non-technical learners with an interest in financial markets.
How does the depth of this course compare to similar courses on algorithmic trading?
The course provides a broad overview of technical analysis and trading strategies with a focus on practical implementation. It covers topics such as candlestick analysis, moving averages, chart patterns, and risk management. Compared to other courses, it emphasizes hands-on strategy building using tools like TradingView and programming with NodeJS. The course's 79 lessons ensure a comprehensive exploration of these topics.
What platforms and tools does the course focus on for technical analysis and trading?
The course primarily uses TradingView for technical analysis and strategy testing. For programming and execution of trading strategies, NodeJS and JavaScript are utilized. Lessons include installing NodeJS, understanding JavaScript execution, and using TradingView's Strategy Tester to refine trading strategies.
Are there any topics not covered in this course?
While the course covers a wide range of topics related to algorithmic trading and technical analysis, it does not delve into other financial markets beyond cryptocurrencies. Additionally, it doesn't cover advanced programming concepts outside the basics needed for strategy building in JavaScript or comprehensive financial theories outside of the practical trading strategies discussed.
What is the expected time commitment to complete this course?
The course consists of 79 lessons, and while the total runtime isn't specified, prospective students should anticipate committing several hours per week to complete the coursework. This includes time for watching lesson videos, participating in practical exercises like back-testing and strategy building, and engaging with the community forum for discussions and queries.