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Экономика и бизнес
Бизнес и менеджмент
Оглавление - Algorithmic skepticism
How to Trade Based on Mathematics, Not Emotions
Julius Vega
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Introduction
Data as the Only Objective Reality
The Digital Evolution of Markets
The Place of Algorithmic Trading in Modern Trading
Technical Analysis as a Language for Describing Market Processes
Aims of the Book and Its Audience
Structure and Logic of the Exposition
Trading as a Path of Continuous Learning
Chapter 1: The Philosophy of Algorithmic Skepticism
The Market as a System, Not an Oracle
Liquidity as the Primary Substance of the Market
The Order Book as a Mirror of Intentions
Volatility as a Language of Uncertainty
The Architecture of Analysis: From Disparate Data to an Integrated System
The Principle of Feedback as a Condition for System Survival
Skepticism as a Method, Not a Denial
Chapter 2: Cognitive Traps of the Retail Trader
The Brain as Adversary: Why Intuition Misleads Us in the Market
Belief in Patterns: How the Brain Finds Order Where None Exists
Confirmation Bias: The Trader’s Selective Memory
The Anchoring Effect: The Prison of the Entry Price
The Availability Heuristic: The Illusion of Competence After a Winning Streak
Underestimating Nonlinearity: Linear Thinking in a Nonlinear World
The Myth of Control and the Illusion of Simplicity: The Final Trap
Chapter 3: Vulnerabilities of Algorithmic Systems
Overfitting: The Trap of Perfect History
Dependence on Liquidity as a Hidden Foundation
Temporal Lags as a Built-In Delay from Reality
Emergent Behavior: When Multiple Algorithms Create a New Reality
Inadequate Volatility Assessment
Cognitive Biases of Developers as a Hidden Source of Systemic Risk
Chapter 4: Metrics and Filters for Market Analysis
Three Pillars of Filtration: Volatility, Liquidity, Momentum
Volatility as a Risk Calculation Tool, Not Merely an Indicator
Liquidity as the Foundation of Idea Execution
Momentum and Its True Nature
Timeframe Selection as an Architectural Decision
Signal Filtering by Volume
Oscillators in the Context of Trend
The Synthesis of Metrics as the Foundation of a Robust System
Chapter 5: Risk and Position Management
The Mathematics of Position Size: From Intuition to Formula
Volatility as the Foundation for Stop-Loss Calculation
Adaptation to Changing Liquidity
Correlation of Risk and Capital Allocation
Dynamic Risk Adjustment Based on Performance
Practical Synthesis: Risk as a Unified System
Chapter 6: The Anatomy of Trading Discipline
Discipline as an Engineering Construct, Not a Moral Category
The First Point of Failure: Entry and the Tyranny of Urgency
The Second Point of Failure: Position Management and the Real-Time Erosion of Rules
The Third Point of Breakdown: Exit and the Trap of Insatiability
Post-Trading Audit as the Only Tool Against Adaptation to One’s Own Errors
Discipline as a Closed Loop, Not a One-Time Effort
Chapter 7: Market Microstructure: The Order Book and Volume
Volume-Weighted Average Price as an Indicator of Fair Value
Trade Clustering: Where the Market Makes Decisions
The Volume Delta: Measuring the Balance of Aggression
Liquidity Traps: The Anatomy of Market Deception
Synthesis of a Multi-Layered Filter System
Chapter 8: Free Resources for Learning Technical Analysis
The Illusion of Free Education and the Price of Inattention
Platforms for Market Observation
Books and Structured Courses as a Counterweight to Video Content Chaos
YouTube Channels, Blogs, and Communities: How to Distinguish Signal from Noise in Content Itself
Demo Accounts as a Laboratory Without Consequences
Strategy Testers and Practical Hypothesis Verification
Synthesis: Building Your Own Learning System
Chapter 9: Vulnerabilities of Classical Technical Analysis
False Breakouts as a Structural Feature, Not an Exception
The Historical Memory of Indicators Against Market Nonstationarity
Liquidity Imbalance as the Invisible Engine of Price Anomalies
The Illusion of Validation: Why a Successful Strategy on Historical Data Is Deceptive
Information Asymmetry: How Large Capital Uses Technical Levels Against Retail
Timeframe Conflict and the Paradox of Multi-Timeframe Analysis
Chapter 10: Bitcoin as Digital Gold: Market Mechanics
Liquidity as a Measure of Asset Maturity
The Order Book as a Microscope of Market Psychology in Numbers
The Nature and Measurement of Bitcoin Volatility
Comparative Anatomy: Bitcoin and Gold as Stores of Value
The Architecture of Decentralization: How an Asset Without a Center Is Structured
Correlation with Risk Assets: The Dual Nature of Bitcoin
Infrastructure Maturity as a Precondition for Full Status as Digital Gold
Chapter 11: The Psychology of the Crypto Market
The Illusion of Control: The Myth of «Catching the Bottom»
Herd Behavior and Self-Fulfilling Prophecies
Hyperbolic Discounting: Sacrificing the Future for Immediate Gratification
Confirmation Bias: How the Brain Deceives Itself
The Anchoring Effect: The Power of Arbitrary Numbers Over Reason
The Synthesis of Biases and the Path to Systemic Thinking
Chapter 12: Manipulations and Vulnerabilities of the Crypto Market
Liquidation Cascades as Weapons of Mass Capital Destruction
Information Asymmetry at the Moment of News Events
Manipulations on the Eve of the Halving
Structural Dependence on Mining Infrastructure
Regulatory Gaps as an Arbitrage Opportunity
Psychological Levels and Their Exploitation by Algorithms
Chapter 13: Practical Work with Bitcoin as an Asset
From Speculative Instrument to Portfolio Component
Volume as a Language of Market Force
Volume Delta and Liquidity Microstructure
Choosing a Timeframe for Your Investment Horizon
Noise Filtering as a Mandatory Discipline
The Regulatory Environment as a Separate Layer of Analysis
Synthesis of Approach: Building an Integrated Observation System
Chapter 14: The Importance of Backtesting: Fundamentals
The Illusion of Clean Data
The Order Book as a Source of Truth
Volatility as a Variable, Not a Constant
Slippage, Commissions, and Execution Costs
Interaction with Market Microstructure
Time Horizons: How Much History Is Enough
From Theoretical Model to Working Prototype
Chapter 15: Backtesting Vulnerabilities and Errors
The Illusion of Statistical Robustness
Overfitting as a Form of Self-Deception
Noise Mistaken for Signal
The Market as a Moving Target
The Psychology of the Executor Against the Logic of the Algorithm
Superficiality of Testing and the False Sense of Completeness
Blindness to External Factors and Systemic Risks
Chapter 16: Advanced Backtesting Methodology
Key Performance Indicators: Beyond the Obvious
Choosing a Time Interval as an Engineering Problem
Volume as a Filter of Plausibility
Testing Across Different Phases of the Market Cycle
Stress Tests as an Instrument of Testing to Destruction
Scenario Modeling and Multiple Market Universes
Chapter 17: Visualizing Market Profile: Fundamentals
The Logic of Building TPO: From the Chaos of Ticks to Statistical Form
Value Area and Point of Control: The Anatomy of Market Consensus
Profile Asymmetry as an Indicator of Hidden Directivity
VWAP and Profile: Two Views of the Same Fair Price
The Order Book as an X-Ray of Profile Structure
Failed Auctions: The Mechanics of Collective Perception Deception
Chapter 18: Cognitive Biases in Working with Market Profile
The Concept Substitution Error: When the Tool Replaces Thinking
Fixation on the Point of Control as a Form of Cognitive Laziness
The Illusion of Control When Using Free Tools
FOMO in the Context of Profile Analysis
Confirmation Bias in the Interpretation of Auction Structure
Synthesis: Returning to Auction Logic as an Antidote
Chapter 19: Vulnerabilities and the Practice of Profile Visualization
Gaps as Ruptures in the Information Field
The Period of Data Aggregation and Its Hidden Tyranny
False Value Areas as a Tool of Manipulation
Configuring Visualization Tools: From the Illusion of Precision to Real Diagnostics
Timeframe Selection as a Compromise Between Noise and Blindness
Volume Filters: Separating Signal from Institutional Noise
Synthesis of Practice: Building a Robust Diagnostic System
Chapter 20: How to Read Charts: The Architecture of Price
The Chart as a Record of Battle, Not a Picture
Anatomy of a Candle: Body as a Zone of Consensus, Wick as the Trace of Rejected Price
Bars and Candles: Different Languages of the Same Mechanics
Trend as Accumulated Liquidity Asymmetry
Support and Resistance Levels as Zones of Accumulated Market Memory
Breakout of a Level: The Moment of Truth and the Shift in Its Function
Synthesis of Elements: From Individual Candles to Integrated Architecture
Chapter 21: Cognitive Biases in Reading Charts
The Illusion of Pattern: Why the Brain Sees What Isn’t There
Confirmation Bias: How Beliefs Distort Price Perception
The Herd Effect and the Magic of Round Numbers
Fear of Missing Out as a Driver of Irrational Decisions
Loss Aversion and the Asymmetry of Pain
The Interaction of Biases: How Errors Reinforce Each Other
Practical Mechanisms for Protection Against Distortions
Chapter 22: Algorithm Vulnerabilities in Chart Reading
The Illusion of Chart Objectivity
The Trap of Trend Misinterpretation
The Mirage of Support and Resistance Levels
The Problem of Stop-Losses: Between Protection and Self-Destruction
The Error of Choosing the Wrong Timeframe
Absence of Adaptation to Market Regime Change
Chapter 23: Multi-Timeframe Analysis
The Nature of Scale Divergence
The Hierarchy of Timeframes as a System of Filters
Synthesis of Indicators Against Single Signals
The Role of Volume as a Bridge Between Scales
Practical Architecture of a Multi-Timeframe Solution
The Traps of False Synchronization
Temporal Asymmetry and Delayed Reaction
Conclusion
The Path from Chaos to System
From Understanding to Action: Building an Algorithm
Discipline as the Architecture of Survival
Continuous Learning as the Only Constant
Prospects for Algorithmic Trading: Where the Industry Is Heading
Synthesis: The Market as a Language to Be Learned
Final Word: The Path, Not the Destination
Glossary