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Biturai Trading Wiki
The Biturai crypto encyclopedia: AI-assisted, data-informed, and continuously quality-audited.
Units-per-Fixed-Amount: The Turtle Trader Position Sizing Method
The Units-per-Fixed-Amount method standardizes risk per trade by adjusting position size based on asset volatility.
Risk Parity Position Sizing Across Multiple Cryptocurrencies
Risk parity is an investment strategy that focuses on allocating risk, not capital, equally across a portfolio's assets. This approach aims to create a more balanced risk profile, leading to more stable and consistent returns over time.
Equal-Weight Position Sizing in Crypto Portfolios
A strategy where each cryptocurrency in a portfolio is allocated the same monetary value, aiming to reduce concentration risk. This approach ensures no single asset disproportionately impacts overall portfolio performance.
Percent-Volatility Model for Position Sizing
The Percent-Volatility Model is a risk management strategy that adjusts trade size based on an asset's historical price fluctuations.
Volatility-Based Position Sizing with ATR
The Average True Range (ATR) is a technical indicator that measures market volatility, providing a numerical value for price movement over a specific period.
Leveraging Asymmetric Risk-Reward in Crypto Trading
Asymmetric risk-reward is a fundamental principle in trading where potential profits significantly outweigh potential losses. This approach is particularly valuable in the volatile cryptocurrency markets for effective risk management.
Planned vs. Realized Risk-Reward in a Trade Journal
The Risk-Reward Ratio (R:R) is a key metric in trading, assessing potential profit against potential loss.
Risk-Reward Ratio and Win Rate: Understanding the Break-Even Relationship
The break-even relationship between the risk-reward ratio and win rate is fundamental for sustainable trading. It defines the minimum win rate required for a trading strategy to avoid losses over time.
Calculating the Risk-Reward Ratio in Trading
The Risk-Reward Ratio (RRR) is a fundamental metric in trading that compares the potential profit of a trade to its potential loss.
Expected Value Per Time: Return Efficiency Per Traded Hour
This article explores the concept of expected value per time, a critical metric for evaluating the efficiency of trading strategies.
Expectancy vs. Opportunity in Crypto Trading
Expectancy measures the long-term profitability of a trading strategy by combining win rate and risk-to-reward. Opportunity refers to the potential profit range of an individual trade based on market conditions and structure.
Expected Value Per Dollar Risk in Trading
The expected value per dollar risk quantifies the average profit or loss a trader can anticipate for every dollar risked on a trade over many occurrences.
Calculating Van Tharp's System Quality Number (SQN)
The System Quality Number (SQN) is a proprietary metric developed by Dr. Van K. Tharp to evaluate the quality and robustness of a trading system.
Initial Risk vs. Open Risk in Trade Management
Understanding the distinction between initial risk and open risk is fundamental for effective trade management.
R-Multiple Distribution: Analyzing Trade Outcome Spread
R-Multiple Distribution is a method to analyze the range of profit and loss outcomes for a series of trades, standardizing results against the initial risk taken.
Average R-Multiple and Expectancy as a Trading Performance Metric
The average R-multiple, also known as expectancy in R, is a fundamental performance metric in trading that quantifies the average profit or loss a trading system generates per unit of risk.
Understanding the Stop-Loss Clustering Hunting Strategy
Stop-loss hunting is a market strategy where large participants intentionally manipulate asset prices to trigger clustered stop-loss orders.
Iceberg Detection Scalping Strategy
The Iceberg Detection Scalping Strategy is an advanced high-frequency trading method that identifies large, hidden orders to profit from small price movements.
Absorption Trading Strategy in Order Flow
The absorption trading strategy identifies when aggressive market orders are met by passive limit orders, preventing price movement. This phenomenon often signals potential market reversals or strong support and resistance levels.
Volume Spread Analysis (VSA) Trading Strategy
Volume Spread Analysis (VSA) is a technical analysis method interpreting price, volume, and spread to identify institutional activity. It helps traders understand supply and demand dynamics to predict market direction.