Wiki
Biturai Trading Wiki
The Biturai crypto encyclopedia: AI-assisted, data-informed, and continuously quality-audited.
Recognizing Overfitting Risk in Optimized Trading Systems
Overfitting occurs when a trading strategy is excessively tuned to historical data, capturing noise rather than true market patterns.
Understanding the High-Water Mark in Trading Accounts
The High-Water Mark (HWM) represents the highest value an investment account has ever reached, serving as a critical benchmark for performance fee calculations.
Open Equity vs. Closed Equity in Risk Tracking
Open Equity represents the real-time value of all assets, including unrealized profits or losses from active positions.
Risk Scaling by Confidence: Differentiating A, B, and C Setups
Risk scaling by confidence is a strategy where capital risked on a trade is adjusted based on the trader's conviction in the setup's potential for success.
Maximum Loss per Trading Setup Type
Understanding maximum loss per setup type is crucial for effective risk management in trading.
Developing and Adhering to a Written Risk Management Plan
A written risk management plan is essential for navigating volatile markets like crypto. It provides a structured approach to protect capital and ensure long-term trading success.
Crypto Crash Emergency Plan: Managing Risk in Extreme Phases
A crypto crash emergency plan is a structured framework to navigate significant market downturns. It aims to mitigate losses, preserve capital, and identify strategic opportunities during extreme volatility.
Risk Matrix: Classifying Probability and Impact
A risk matrix is a fundamental tool used to visually assess and prioritize potential risks by mapping their likelihood of occurrence against the severity of their impact.
Compounding vs. Fixed Stake: Risk Management for Growing Accounts
Compounding involves reinvesting earnings to accelerate growth, while a fixed stake strategy maintains a constant risk amount regardless of account size.
Adjusting Trade Risk to Account Size
Understanding how to adjust the risk taken on each trade relative to your total account size is fundamental for long-term trading success. This practice, known as position sizing, is crucial for capital preservation and sustainable growth.
Understanding the 2% Rule in Risk Management
The 2% rule is a fundamental risk management principle that limits the capital a trader risks on any single trade to two percent of their total account.
The 1% Rule: Managing Account Risk per Trade
The 1% rule is a foundational risk management strategy in trading, dictating that a trader should never risk more than one percent of their total account equity on a single trade.
Win Rate Trap: Why High Win Rates Can Lead to Ruin
A high win rate in trading can be a deceptive metric, often leading to a false sense of security. Without proper risk management and a favorable risk-reward ratio, frequent small wins can be easily wiped out by infrequent, large losses.
Scenario Analysis vs. Sensitivity Analysis in Risk Management
Scenario analysis and sensitivity analysis are vital tools in risk management, helping to evaluate how changes in various factors can impact financial outcomes.
Skewness of Returns as a Risk Characteristic
Skewness measures the asymmetry of an asset's return distribution, indicating whether extreme positive or negative outcomes are more likely.
Fat Tails and Kurtosis in Crypto Return Distributions
Fat tails and kurtosis describe the higher frequency of extreme price movements in crypto markets compared to traditional assets.
Diversifying Exchange Risk: Spreading Crypto Assets Across Multiple Platforms
Distributing cryptocurrency holdings across various exchanges and wallets is a fundamental strategy to mitigate the inherent risks associated with relying on a single platform.
Liquidity Risk in Low-Cap Coins: The Cost of Exiting
Understanding liquidity risk in low-market-capitalization cryptocurrencies is essential for traders and investors.
Managing Gap Risk in Crypto Trading
Price gaps occur when an asset's price opens significantly higher or lower than its previous close.
Slippage Risk in Stop and Market Orders
Slippage is the difference between the expected price of a trade and the actual price at which it executes. This phenomenon is particularly relevant for market and stop orders, especially in volatile or illiquid markets.