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Trade Like a Machine: Mastering Market Cycles and AI-Driven Crypto Trading
Develop a professional, high-impact crypto trading course titled “Trade Like a Machine: Mastering Market Cycles, AI Signals & Institutional Trends” ...
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Instructor
Jax
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Trade Like a Machine: Mastering Market Cycles, AI Signals & Institutional Trends
Course Overview
Welcome to a no-hype, professional-grade crypto trading course designed for traders seeking data-driven strategies. This course combines the proven chart analysis techniques inspired by Rekt Capital with cutting-edge 2025 trends, including ETF flows, tokenized assets, Solana staking, and AI-powered sentiment analysis. Elevate your trading by mastering market cycles, leveraging AI, understanding macro-institutional influences, and refining risk discipline.
Module 1: Cycle-Based Technical Analysis
- Understanding Market Phases: Identification of accumulation, breakout, euphoria, and distribution phases.
- Support & Resistance: Dynamic zone analysis and zone validation techniques.
- Trendlines & Channels: Drawing reliable trendlines and recognizing trend shifts.
- Fibonacci Tools: Applying Fibonacci retracements and extensions to forecast potential reversal and target zones.
- Market Sentiment & Confirmation: Using volume, momentum, and on-chain data to confirm cycle stage.
Module 2: Harnessing AI in Crypto Trading
- AI Signal Generation: Utilizing AI models (ChatGPT, sentiment algorithms) to interpret market sentiment and social noise.
- Filtering Noise: Strategies for distinguishing meaningful signals from hype-based chatter.
- AI Trading Bots & Automation: Setting up and optimizing AI-driven trading bots for consistent execution.
- Data-backed Decision-Making: Crafting edge through AI-enhanced analysis of order books, social metrics, and macro indicators.
Module 3: Macro & Institutional Context
- Bitcoin ETF Flows: Tracking inflows/outflows as indicators of institutional interest and probable trend shifts.
- Wall Street & Macro Triggers: Understanding how macroeconomic policies and institutional pressures influence crypto behavior.
- Crypto Under Institutional Pressure: Recognizing signs of capitulation, accumulation, and trend reversals under Wall Street influence.
- Market Correlations: Analyzing correlations with traditional markets and macroeconomic data.
Module 4: Altcoins & Tokenization Trends
- Tokenized Stocks & Assets: Analyzing on-chain data for tokenized equities and derivatives.
- Staking & Derivatives: Evaluating Solana staking yields, liquidity pools, and derivatives for early entry points.
- Early Detection of Pumps: Using technical signals, social sentiment, and macro cues to identify promising tokens before pump phases.
Module 5: Risk Discipline & Psychological Resilience
- Stop-Loss & Capital Allocation: Building robust risk management frameworks tailored for volatile markets.
- Emotional Control: Techniques for maintaining discipline amidst hype and fear.
- Trade Planning & Journaling: Creating repeatable, data-backed trading plans and tracking performance for continuous improvement.
- Managing Volatility: Strategies for surviving market swings without panic.
Module 6: Practical Tools & Templates
- TradingView Templates: Custom chart setups for cycle analysis, trendlines, and Fibonacci zones.
- ChatGPT Prompt Packs: Pre-made prompts for sentiment analysis, macro insights, and trade ideas.
- AI Signal Frameworks: Templates for integrating AI signals into your trading workflow.
- Checklists & Workflow Guides: Step-by-step processes for disciplined trading and analysis.
Final Note
This course is designed to equip professional traders with a comprehensive, data-backed approach to crypto trading. By merging traditional chart analysis with the latest technological innovations and macro insights, you will develop a machine-like edge—focused, disciplined, and prepared for the evolving crypto landscape in 2025 and beyond.
Foundations of Market Cycles & Technical Analysis
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1
Introduction to Market Phases & Cycle-Based AnalysisIn this lesson, students will explore the various phases of market cycles and learn how to identify them through cycle-based analysis. They will gain insights into the characteristics of different market stages, enabling them to make informed investment decisions and better understand market behavior. By the end of the lesson, students will be equipped with practical tools to analyze and anticipate market trends effectively. -
2
Chart Patterns: Support, Resistance, and TrendlinesIn this lesson, students will explore the fundamentals of chart patterns, focusing on identifying and interpreting support and resistance levels, as well as drawing and analyzing trendlines. By mastering these key concepts, learners will enhance their ability to make informed trading decisions and recognize potential market reversals. Get ready to develop your technical analysis skills and gain confidence in reading stock charts! -
3
Quiz: Identifying Market Phases and Key Support/Resistance Levels
Integrating AI Tools for Enhanced Trading Signals
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4
Using ChatGPT and Sentiment Models for Market AnalysisIn this lesson, students will explore how to harness ChatGPT and sentiment analysis models to gain valuable market insights. They will learn techniques for analyzing consumer opinions, interpreting data trends, and making informed decisions to enhance business strategies. By the end, you'll be equipped to leverage AI tools for more effective market analysis. -
5
Automating Signal Generation with Trading BotsIn this beginner's guide, you'll learn how to automate trading signal generation using trading bots, gaining insights into their setup and key features. By the end of the lesson, you'll understand how to create and customize bots to enhance your trading strategy and improve efficiency in the markets.
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6
Quiz: Building and Interpreting AI-Driven Sentiment Indicators
Macro & Institutional Trends in Crypto Markets
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7
Understanding ETF Flows & Wall Street Influence on BitcoinIn this lesson, students will explore how ETF flows influence Bitcoin's market dynamics and understand the significant role Wall Street plays in shaping cryptocurrency trends. By analyzing real-world examples, learners will gain insights into the interconnectedness of traditional finance and digital assets, empowering them to interpret market movements with greater confidence.
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8
Analyzing Macro Triggers: From ETF Inflows to Macro EventsIn this lesson, students will explore how macro triggers such as ETF inflows and significant economic events influence market trends. Through analyzing real-world data, you'll learn to identify key indicators and understand their impact on investment decisions. By the end, you'll be equipped to interpret macroeconomic signals and assess their implications for financial markets.
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9
Quiz: Recognizing Institutional Market Signals and Flows
Altcoins, Tokenized Assets & Early Entry Strategies
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10
Evaluating Tokenized Stocks & Staking DerivativesIn this lesson, students will explore the fundamentals of tokenized stocks and staking derivatives, learning how to evaluate their features, risks, and benefits within the digital asset ecosystem. By the end, they will gain insights into how these innovative financial instruments function and how to assess their potential for investment and trading.
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11
Spotting Early Pumps in Altcoins & Tokenized AssetsIn this lesson, students will learn how to identify early signs of pump activity in altcoins and tokenized assets, enabling smarter trading decisions. Through practical analysis techniques and real-world examples, you'll gain the skills to recognize indicators of upcoming price surges before they become mainstream. Enhance your crypto trading strategy by mastering early detection methods for pump opportunities.
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12
Quiz: Identifying Promising Tokens Before Market Moves
Risk Management, Discipline & Trading Psychology
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13
Implementing Stop-Loss Strategies & Capital AllocationIn this lesson, students will learn how to design and implement effective stop-loss strategies to protect their investments and minimize losses. They will also explore key principles of capital allocation to optimize portfolio performance and ensure sustainable growth. By the end, you'll be equipped with practical skills to make disciplined, strategic trading decisions.
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14
Managing Emotions During VolatilityIn this lesson, students will learn effective strategies to manage their emotions and maintain emotional balance during market volatility. Through practical techniques and psychological insights, you'll gain the confidence to make rational investment decisions even in uncertain times. This course empowers you to stay calm, focused, and resilient amidst market fluctuations.
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15
Quiz: Developing a Robust Risk & Psychological Framework
Tools, Templates & Live Analysis Frameworks
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16
TradingView Templates for Technical AnalysisIn this lesson, students will learn how to effectively utilize TradingView templates to streamline their technical analysis process. They will discover how to customize and save templates, interpret key chart indicators, and apply these tools to make informed trading decisions. By the end, you'll be empowered to enhance your trading strategy with efficient and professional chart setups.
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17
Prompt Packs for ChatGPT Analysis & AI Signal FrameworksIn this lesson, students will explore how to effectively utilize Prompt Packs to enhance ChatGPT analysis and learn to apply AI Signal Frameworks for more accurate and insightful AI interactions. By the end, you'll understand how to craft powerful prompts and interpret AI signals to optimize your ChatGPT experiences. Unlock the full potential of AI-driven conversations with practical strategies and expert techniques.
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18
Assignment: Create Custom Trading Templates & AI Prompts
What makes 'Trade Like a Machine' different from other crypto courses?
It combines proven technical analysis with the latest AI tools and macro insights, focusing on data-backed decisions and institutional trends, avoiding hype and speculation.
Do I need prior trading experience to benefit from this course?
While some trading knowledge helps, the course thoroughly covers fundamentals, technical analysis, AI integration, and risk management for traders at all levels.
How does the course incorporate AI and market cycles for better trading?
It teaches using AI signals, sentiment models, and trading bots alongside cycle-based analysis of support, resistance, and market phases for precise timing and decision-making.
Are there practical tools included to implement strategies effectively?
Yes, the course provides TradingView templates, ChatGPT prompt packs, and AI signal frameworks to help traders execute strategies confidently and efficiently.
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Course details
Lectures
12
Quizzes
6
Basic info
- Course Title: Trade Like a Machine: Mastering Market Cycles, AI Signals & Institutional Trends
- Level: Advanced / Professional traders seeking data-driven strategies
- Duration: 8 Weeks
- Format: Video Lectures, Live Demos, Interactive Templates, and Practical Assignments
- Language: en_US
Course requirements
- Basic understanding of cryptocurrency markets and trading fundamentals
- Experience with chart analysis and technical indicators
- Access to TradingView and AI tools like ChatGPT or similar sentiment models
- Willingness to engage with real-time data and live market analysis
- No prior experience with institutional trading or macroeconomic analysis required
Intended audience
- Professional traders looking to refine their strategies with data-backed insights
- Crypto enthusiasts eager to understand institutional market influence and AI integration
- Traders tired of hype and unreliable signals seeking proven, cycle-based analysis
- Portfolio managers and analysts interested in tokenized assets and macro trends
- Individuals aiming to develop disciplined risk management and emotional resilience in volatile markets
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