Ai Trading: Bitcoin, Stocks & Investing With Chatgpt & Llms


Ai Trading: Bitcoin, Stocks & Investing With Chatgpt & Llms
Ai Trading: Bitcoin, Stocks & Investing With Chatgpt & Llms
Published 8/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

What you’ll learn

Use of AI tools such as ChatGPT, Bing, Bard, and Anthropic to analyze business reports and financial metrics.

Recognize and understand the role of Language Learning Models (LLMs) in AI.

Immersion in what LLMs are and how they work.

Investigating the token limit when using LLMs and how this affects prompting.

Generating investment ideas and applying risk management through the use of advanced AI technologies.

Integrating AI tools into trading system programming.

Programming your own trading bot with AI and connecting this bot to a broker for automated trading.

Perfect prompt engineering: create efficient and effective prompts for AI tools.

Discuss the risks associated with over-reliance on AI tools.

Applying AI tools to improve financial literacy and skills.

Understanding how AI tools can be used to improve your personal trading and investment strategies.

Practical application examples and exercises to deepen and consolidate the skills learned.

Requirements

No previous experience in AI is necessary

Description

Overview

Section 1: Einführung

Lecture 1 Welcome & the risk note

Lecture 3 Practical Links

Section 2: What Are LLMs Like ChatGPT, and Why Is It Relevant for Investing?

Lecture 4 What Is ChatGPT and What Are Large Language Models [LLMs]

Lecture 5 The Token Limit: How Much Context Does the Model Understand?

Lecture 6 What output can LLMs generate: An overview

Lecture 7 Why is this Backgroung Information important for Traders and Investors?

Section 3: Prompt Engineering and Concepts for Investments and Trading

Lecture 8 ChatGPT Sign-Up and Interface

Lecture 9 Why is Prompt Engineering important? A funny example

Lecture 10 Providing context with Structured Prompts: SWOT Analysis as an example

Lecture 11 Role Prompting: Making ChatGPT a Financial Expert

Lecture 12 Combining Role Prompting and Shot Prompting

Lecture 13 Chain of Thoughts prompting for betther Output

Lecture 14 Increase the Output by 10X with Tree of Thoughts Prompting [Study Supported]

Lecture 15 Getting Infinite ChatGPT Prompts [Make ChatGPT into a Prompt Generator]

Lecture 16 Lets think about this [from.]

Section 4: Studies Confirming 500% Return: What’s REALLY possible with LLMs in Trading!

Lecture 17 Trading 500% [FIVE HUNDRED PERCENT] Return with ChatGPT: Supported by Studies

Lecture 18 A detailed look at the studies

Lecture 19 What do these studies mean for us now?

Lecture 20 What does this mean for the future of financial trading?

Section 5: What Are Plugins? How and Why Can I Use Them

Lecture 21 What Are ChatGPT Plugins

Lecture 22 Finding and Installing Plugins in the Chat GPT Plugin store

Lecture 23 Proper Priming of ChatGPT for Our Purpose

Section 6: Financial Plugins for Stocks, ETFs, Investing, and Trading

Lecture 24 Daizy: Graphics, Analysis, Portfolio Reviews, and More

Lecture 25 Boolio Invest

Lecture 26 PortfoliosLab

Lecture 27 Where is the Plugin from Public?

Lecture 28 VoxScript News screening the fast way

Lecture 29 Abridged Due Diligence: Does the Plugin Collaborate with the SEC?

Lecture 30 PortfolioPilot: Improve Your Portfolio OR just go all in on MOON STONKS

Lecture 31 AI TickerChat

Section 7: Plugins for Cryptocurrencies

Lecture 32 Crypto Market News and the IMPORTANT Liquidity of Central Banks

Lecture 33 CryptoMation: Can You Trust the Plugin?

Lecture 34 CoinCap: Maybe in the Future.

Lecture 35 Finding Your Dream Job in Crypto or hire someone with this Plugin

Section 8: Options Trading and Market Information

Lecture 36 Options Pro: A Plugin for Options Traders and Market Informations

Section 9: General Useful Plugins, Code Interpreters, and Important Tricks!

Lecture 37 Solving the Real-Time Data Problem with These Tricks and Tools

Lecture 38 AI-PDF and Ask Your PDF [Great Plugins]

Lecture 39 Link Reader: The All-Rounder

Lecture 40 Best Results with This Trick: Combine Tools

Lecture 41 ChatGPT Code Interpreter is AWESOME: Multiple Applications Are Possible

Section 10: Chrome Extensions for ChatGPT and Your Investments

Lecture 42 What are Extensions and Where Can I Find Them?

Lecture 43 Incredible Time Savings in Business Analysis with These 2 Extensions

Lecture 44 AI-Prompt Management, an Extension That Can Help You

Lecture 45 AIPRM in the Crypto and NFT Space

Lecture 46 AI-Trading Advice you should NOT follow!

Lecture 47 There Are Many Use Cases, Try Them Out! [General Tipps]

Lecture 48 Other Useful Extensions in a quick Overview

Section 11: Problems with trading and investing with AI!

Lecture 49 Attention! Wrong answers: You are responsible for your own actions!
Section 12: Alternatives to ChatGPT: Cool AI Tools That Can Assist You!

Lecture 50 CLAUDE 2 by Anthropic!! Testing the 100k Token Model

Lecture 51 1 BILLION Tokens by Microsoft! LongNEt Is Incredible

Lecture 52 StockGPT: An Alternative Worth Exploring

Lecture 53 Bard: An Overview

Lecture 54 Bard in Practice: Do’s and Don’ts

Lecture 55 Perplexety [GPT as Copilot]

Lecture 56 Merlin AI: An Extension Working with the OpenAI API

Lecture 57 Traderfox AI: A Great Website

Lecture 59 Microsoft’s Bing: Somewhat Disappointing

Lecture 60 Find tools using these websites; you don’t need every tool!

Lecture 61 UBS Trendradar

Section 14: Programming Trading Bots and Connecting Them to Brokers for Automated Trading

Lecture 63 What Is This About?

Lecture 64 Learn from Others: The TradingView Community Can Help You

Lecture 65 Step One: Find the Right Asset and Strategy
Lecture 66 Step Two: Program the Bot with ChatGPT or Anthropic

Lecture 67 Step Three: Connect Your Broker to the Bot

Lecture 68 Recapitulation: Creating a Trading Bot Involves Risks!

Section 15: Putting the Puzzle Pieces Together!

Lecture 69 How Should You Apply AI in YOUR Trading and Investment Decision?

Lecture 70 Ride the AI Wave: Identify Companies Benefiting from the Megatrend

Section 16: Conclusion and Outlook

Lecture 71 What Comes Next?

Lecture 72 Thank YOU!

Lecture 73 Bonus

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