Risk Management: The 1% Rule
The written version of the video on why survival comes before conviction, how drawdown math works, and how the 1% rule keeps a trader in the game.
Systematic trading
First Principles of Trading Series
Systematic trading and investing education for better decision-making under uncertainty.
Principles of Trading framework
View 16 concepts
01
Risk Management
defines survival.
02
Position Sizing
defines growth.
03
Expected Value
determines worth.
04
Volatility
shapes adaptation.
05
Liquidity
permits execution.
06
Market Structure
reads the current state.
07
Market Regimes
identify the environment.
08
Probability
defines expected behavior.
09
Statistics
defines observed behavior.
10
Strategy Design
builds the vehicle.
11
Edge Development
gives it fuel.
12
Technical Analysis
translates price into structure.
13
Fundamental Analysis
translates value into context.
14
Crisis Management
tests the system under pressure.
15
Capital Management
determines whether it compounds or bleeds.
16
Psychology
the discipline of perception.
System R AI YouTube
Watch the First Principles series.
Open the System R AI YouTube playlist, or use the lecture index below for the written version, transcript, and review questions.
Lecture index
Study the full sequence.
Each lecture pairs the original video with a written version, transcript, and review questions.
Foundations
Start with survival.
Risk, size, payoff, and uncertainty before any setup becomes a trade.
Position Sizing: The 90% That Actually Matters
A full transcript and written guide to position sizing: risk per trade, stop distance, volatility, portfolio heat, and why size can dominate outcomes.
Expected Value: The Mathematical Edge Behind Every Profitable Trade
The written version of the expected value lecture: win rate traps, payoff asymmetry, R multiples, casino thinking, and repeatability.
Volatility: The Emotional Rollercoaster
A written version of the volatility video explaining why volatility is information, why calm can be dangerous, and how movement changes size and emotion.
Market Reading
Read the environment.
Liquidity, structure, regime, and technical context before interpretation.
Liquidity: The Permission to Act
The written version of the liquidity lecture: spread, depth, volume, exits, market capacity, and why a good idea can still be untradeable.
Market Structure: The Logic Behind Every Trading Decision
A written version of the market structure lecture: observation, swing behavior, levels, trend, range, and invalidation.
Market Regimes: Conditions Every Strategy Depends On
The written version of the regime lecture: trend, range, volatility, liquidity, risk-on, risk-off, and adaptation without impulse.
Technical Analysis: Reading the Present
The written version of the technical analysis lecture: present-state reading, participation, levels, risk calibration, and evidence limits.
Decision Inputs
Build the edge.
Fundamentals, probability, strategy design, and repeatable advantage.
Fundamental Analysis: Structure, Probability, and Time
A written version of the fundamental analysis lecture: business reality, economic weather, market belief, horizon, probability, and surprise.
Probability and Statistics: The Language of Edge
The written version of the probability and statistics lecture: uncertainty, sample size, variance, base rates, and feedback.
Strategy Design: The Blank Scroll
The written version of the strategy design lecture: why copied systems fail, why fit matters, and why the operator is part of the system.
Trading Edge: The Advantage That Must Be Earned
The written version of the trading edge lecture: repeatability, evidence, decay, costs, market structure, and the reason a strategy should work.
System Review
Protect the operator.
Crisis rules, capital discipline, testing, and perception under pressure.
Crisis Management: The Space Between Knowing and Surviving
The written version of the crisis management lecture: protocols, drawdown, stress, broken assumptions, and survival when judgment degrades.
Capital Management: The Discipline of Compounding
The written version of the capital management lecture: survival, allocation, drawdown, compounding, and account-level discipline.
Backtesting: Honest Historical Inquiry
The written version of the backtesting lecture: testing rules, avoiding overfit, stress testing, drawdowns, significance, and forward review.
Perception Psychology for Systematic Trading
The written version of the psychology lecture: observation, ignorance, acceptance, perception, behavior, and protecting rules from emotional pressure.
// FAQ
Frequently Asked Questions
Essential answers about the First Principles of Trading series, its structure, and how to use it.
What is the First Principles of Trading series?
The First Principles of Trading series is a 16-part educational sequence about risk, probability, market structure, strategy design, capital management, testing, and trader behavior. Each lesson focuses on a durable decision principle rather than a short-term market prediction.
Who is the series designed for?
The series is designed for traders and investors who want a more systematic process for managing uncertainty, risk, evidence, and behavior. It is useful for newer participants building foundations and experienced participants reviewing process discipline.
What does the series cover?
The 16 lessons cover risk management, position sizing, expected value, volatility, liquidity, market structure, regimes, technical and fundamental analysis, probability, strategy design, trading edge, crisis management, capital management, backtesting, and trading psychology.
Should I follow the lessons in order?
Following the sequence is recommended because the early lessons establish survival and risk before the later lessons address analysis, edge, testing, and psychology. Individual lessons can also be used as references when a specific question becomes relevant.
What formats are included with each lesson?
Each lesson pairs the original video with a written version, transcript, key takeaways, review questions, and navigation to the previous and next concept.
How do these lessons relate to System R AI?
The lessons explain the risk, probability, evidence, and review principles that inform the System R AI trading process. They are educational resources and do not cause the product to make decisions for the user.
Is the series financial or investment advice?
No. The First Principles series is educational content about trading process, risk, probability, and decision discipline. It does not provide individualized investment advice or replace independent judgment and qualified professional guidance.