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AI for Traders: Complete Practical Course

Practical AI workflows for smarter, safer trading.

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IQCVienna

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AI for Traders: Complete Practical Course
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5.0 / 5.0
全球評級
美国英语
99 種語言字幕
4小時 42分
總內容
你將學到什麼
Use AI to support market research, watchlists, trade planning, and trading decisions with clear, reusable prompts.
Use AI safely by identifying hallucinations, bias, overfitting, privacy risks, and unreliable market information.
Build practical AI-assisted workflows for pre-trade preparation, risk review, journaling, and performance analysis.
Create a complete AI trading operating system with checklists, templates, governance rules, and a 30/60/90-day roadmap.
課程內容5 部分5 講座04:42:35 總長度

AI Strategy Testing and Trading Automation

50:45

Strategy Testing, Automation, and Advanced Implementation

This section explores the advanced use of AI for strategy development, backtesting preparation, automation planning, alerts, and paper-trading validation. Learners will discover how to convert ideas into clear strategy rules, document assumptions, identify overfitting risks, evaluate historical results, and design human-controlled automation workflows. The final output is a Strategy Testing and Automation Plan that supports structured experimentation without allowing AI to replace human judgment.

Building an AI-Powered Trading Workflow

47:14

Practical Trading Workflows, Journals, and Risk Systems

This section turns individual AI prompts into complete and repeatable trading workflows. Learners will build systems for pre-session preparation, watchlist filtering, trade planning, risk assessment, post-trade journaling, emotional review, and weekly performance evaluation. By completing the activities, students will develop an AI Trading Operating System that supports disciplined preparation, documentation, risk control, and continuous process improvement.

AI Essentials, Trader Mindset, and Safe Decision-Making

67:41

AI Foundations and Trading Readiness

This section introduces learners to the responsible use of artificial intelligence in trading. Students will understand what AI can and cannot do, explore different trading styles, learn essential risk concepts, select suitable AI tools, and recognize dangers such as hallucination, bias, false confidence, and overfitting. By the end of the section, learners will create a personal AI Trading Safety Policy outlining their boundaries, privacy rules, verification process, and responsible-use guidelines.

Smart Prompting for Market Research and Trade Analysis

56:57

Prompt Writing, Market Research, and Analysis Support

This section teaches learners how to write clear, structured, and reusable prompts for trading-related tasks. Students will use AI to organize market research, summarize financial news, prepare watchlists, examine trade ideas, develop scenario-based plans, and improve decision support. The practical outcome is a personalized Trader Prompt Library that can be reused for market summaries, asset research, risk reviews, trade planning, and journal analysis.

Ethical AI Trading and Professional Implementation

59:58

Ethics, Compliance, Case Studies, and Final Roadmap

This section prepares learners to use AI safely, ethically, and professionally. It covers privacy, transparency, compliance awareness, human accountability, output quality checks, governance procedures, and practical trading case studies. Learners will combine everything developed throughout the course into a complete AI Trading Operating System, supported by a realistic 30-day setup, 60-day testing, and 90-day improvement roadmap.

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要求

No previous AI experience is required.

No coding experience is required.

No advanced trading experience is required.

Basic market knowledge is helpful.

目標受眾

Beginner traders exploring AI-assisted workflows.

Day traders.

Swing traders.

Long-term investors.

關於本課程

“This course contains the use of artificial intelligence.”

AI for Traders: The Complete Practical Course

Build Safer, Smarter, and More Disciplined Trading Workflows with AI — From Beginner to Expert

Stop Guessing. Start Building a Repeatable AI-Assisted Trading System.

Course Introduction

Artificial intelligence is changing how traders research markets, organize information, review risk, document decisions, and improve their trading process. However, AI should never replace human judgment or be treated as a guaranteed market-prediction tool.

AI for Traders: The Complete Practical Course teaches you how to use AI responsibly as a practical trading assistant. You will learn how to create structured prompts, research workflows, watchlists, pre-trade checklists, trading journals, risk-review templates, backtesting plans, and automation workflows.

This beginner-to-expert course contains 5 sections, 40 lectures, 200 main slides, and approximately four hours of practical learning.

By the end of the course, you will have created your own AI Trading Operating System—a complete and repeatable workflow for research, planning, risk control, journaling, strategy testing, and continuous improvement.

What You Will Learn

After completing this course, you will be able to:

  • Understand what AI can and cannot do for traders.
  • Write clear and structured prompts for trading-related tasks.
  • Use AI to summarize market information and organize research.
  • Create reusable market-research and asset-analysis prompts.
  • Build smarter watchlists and opportunity-filtering workflows.
  • Prepare structured trade plans and scenario analyses.
  • Create pre-trade checklists with risk and invalidation rules.
  • Improve position-sizing and maximum-loss reviews.
  • Build AI-assisted trading journals and weekly review systems.
  • Prepare strategies for backtesting without overfitting.
  • Plan alerts, dashboards, spreadsheets, and automation workflows.
  • Identify AI hallucinations, bias, outdated information, and false confidence.
  • Protect private information, broker details, account data, and personal records.
  • Maintain human control over every trading decision.

Benefits of This Course

Save Time on Trading Research

Use AI to organize large amounts of information, summarize research, compare different scenarios, and prepare structured market notes.

Make More Disciplined Decisions

Replace emotional and unplanned decisions with written checklists, risk limits, invalidation points, and defined no-trade conditions.

Improve Your Prompt-Writing Skills

Learn how to provide AI with the correct context, task, assumptions, limitations, and output format.

Build Reusable Trading Templates

Create prompts and templates that can be reused for market summaries, watchlists, trade plans, risk reviews, journals, and weekly performance reviews.

Strengthen Your Risk-Management Process

Develop workflows that help you review maximum loss, position-sizing logic, stop conditions, and alternative market scenarios before taking action.

Improve Your Trading Journal

Use AI to structure your post-trade notes, identify repeated mistakes, review process quality, and create actionable improvement plans.

Use AI More Responsibly

Learn how to recognize hallucinations, fabricated data, confirmation bias, curve fitting, privacy risks, and misleading AI-generated conclusions.

Why Choose This Course?

Practical, Not Theoretical

Every section helps you create a useful trading asset, template, checklist, workbook, or workflow.

Beginner-to-Expert Learning Path

The course starts with basic AI and trading-readiness concepts before progressing to prompt engineering, risk workflows, backtesting preparation, automation planning, governance, and professional implementation.

No Hype or Profit Promises

This course focuses on process quality, discipline, documentation, and responsible AI use—not shortcuts, automated signals, or guaranteed profits.

Human Decision-Making Remains in Control

You will learn to verify AI outputs against reliable sources, your written trading plan, personal risk limits, and relevant platform or broker rules.

Practice in a Safer Environment

Learners are encouraged to test workflows using paper trading, demo accounts, sample data, or historical analysis before considering real-world use.

Complete Final Project

You will combine everything you learn into a personal AI Trading Operating System containing:

  • An AI trading and privacy policy
  • A reusable prompt library
  • A pre-trade checklist
  • Risk-review rules
  • A trading-journal template
  • A weekly review system
  • A strategy-testing plan
  • A 30/60/90-day implementation roadmap

Resources You Will Create

During the course, you will work on practical resources such as:

  • AI Trading Safety Policy Template
  • Trader Prompt Library Workbook
  • Market Summary and Asset Research Prompts
  • Pre-Session Trading Checklist
  • Watchlist Filtering Template
  • Risk-Review Template
  • Post-Trade Journal
  • Weekly Performance Review
  • Strategy Hypothesis Worksheet
  • Backtesting Preparation Checklist
  • Overfitting Warning Checklist
  • Alert and Automation Planner
  • AI Output Audit Form
  • Governance and Privacy Checklist
  • 30/60/90-Day Implementation Roadmap

Who Is This Course For?

This course is suitable for:

  • Complete beginners interested in AI and trading workflows
  • Day traders and swing traders
  • Long-term investors
  • Forex, stock, cryptocurrency, commodity, or index traders
  • Discretionary traders who want more structured decision-making
  • Systematic traders preparing strategies for testing
  • Trading students and market researchers
  • Traders who struggle with emotional or impulsive decisions
  • Traders who want better journals, checklists, and review routines
  • Professionals who want to use AI without surrendering human judgment

No advanced programming or machine-learning experience is required. Basic familiarity with trading concepts will be helpful, but the course explains the process from beginner to advanced level.

Build Your AI-Assisted Trading Workflow Today

Stop using AI through random questions and unstructured prompts.

Learn how to transform AI into a responsible assistant for your research, planning, risk review, journaling, backtesting preparation, and trading-process improvement.

Buy Now and Start Building Your Personal AI Trading Operating System

Enrol today and develop a more organized, disciplined, and repeatable approach to AI-assisted trading.

Important disclaimer: This course is provided for educational purposes only. It does not provide financial, investment, legal, or tax advice. It does not guarantee profits or recommend buying, selling, or holding any financial asset. AI-generated outputs may be inaccurate, incomplete, biased, outdated, or misleading and must always be independently verified.

職業發展機會與目標職位

掌握前沿實務技能,勝任全球高薪核心職務

就業就緒型課程
可應徵的目標職位

AI Solutions Engineer

Data Science Consultant

Machine Learning Practitioner

AI Workflow & Automation Specialist

預估年薪範圍
$105,000 – $165,000 / yr
全球產業需求

Fastest Growing Worldwide (#1)

掌握的核心關鍵技能
Model Fine-Tuning & Evaluation
Data Pipelines & Vector Analysis
Applied Generative AI Architecture
Predictive Analytics & Deployment
* 估算數據基於全球科技產業薪酬指標與市場招聘報告。
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IQCVienna
主要導師
ISO Training & Compliance Expert
Welcome, I am Dr. Mohamed-Ali Ibrahim.

I am an independent ISO consultant, Senior Lead Auditor, educator, and certification expert with more than 20 years of professional experience in auditing, conformity assessment, training, and management systems. Since 1999, I have been working as a lead auditor and have supported organizations, certification bodies, and professionals across Europe, the Middle East, and international markets.

Today, I conduct certification audits on behalf of recognized certification bodies, including ATC Certification in the United Kingdom and QMS in the United States. My work combines practical auditing, consultancy, professional education, and certification support, with a clear focus on real implementation, competence, and audit readiness.

My areas of specialization cover a wide range of ISO standards. In the field of management systems, I work with ISO 9001 for Quality Management Systems, ISO 27001 for Information Security Management Systems, ISO 14001 for Environmental Management Systems, ISO 22301 for Business Continuity Management Systems, and ISO 21001 for Educational Organizations Management Systems. I also specialize in language-sector standards, including ISO 17100 for Translation Services, ISO 18587 for Machine Translation Post-Editing Services, ISO 20771 for Legal Translation, ISO 20228 for Legal Interpreting, ISO 18841 for Interpreting Services, ISO 21998 for Healthcare Interpreting Services, and ISO 23155 for Conference Interpreting Services.

Alongside my audit and certification work, I am also active in higher education and professional training. I contribute to technical and standards-related discussions and work as a lecturer in MBA study programs. My teaching approach is based on clarity, practical relevance, audit reality, and direct professional application.

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