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The Biturai crypto encyclopedia: AI-assisted, data-informed, and continuously quality-audited.
Calculating Rolling Correlation Coefficients Between Crypto and Stocks
Rolling correlation coefficients offer a dynamic view into the evolving relationship between cryptocurrency and traditional stock markets.
Bitcoin and 10-Year US Treasury Yields: The Connection
The 10-Year US Treasury Yield represents the interest rate the US government pays investors for its 10-year bonds.
Bitcoin as Digital Gold: The Store of Value Narrative in Macro Context
Bitcoin is often described as 'digital gold' due to its finite supply and decentralized nature, positioning it as a potential store of value.
The Inverse Relationship Between DXY and Bitcoin Explained
Bitcoin's price often moves inversely to the US Dollar Index (DXY), reflecting the dollar's role as a safe-haven asset and Bitcoin's historical classification as a risk-on asset.
The Correlation Between Bitcoin and the US Dollar Index (DXY)
The US Dollar Index (DXY) measures the dollar's strength against major currencies and has historically shown an inverse relationship with Bitcoin.
The Evolving Correlation Between Bitcoin and Gold
Bitcoin and gold have historically been compared as stores of value, often exhibiting varying degrees of correlation.
The Dynamic Correlation Between Bitcoin and the Nasdaq 100
The correlation between Bitcoin and the Nasdaq 100 is a complex and evolving relationship, crucial for understanding market dynamics.
Understanding the Correlation Between Bitcoin and the S&P 500
Bitcoin's correlation with the S&P 500 has shifted from largely non-correlated to a robust positive relationship, especially since 2020.
Zero Interest Rate Policy (ZIRP) and its Impact on Risk Assets
Zero Interest Rate Policy (ZIRP) is a monetary strategy where central banks set benchmark interest rates near zero to stimulate economic activity.
Negative Interest Rate Policy (NIRP) and its Implications for Cryptocurrencies
Negative Interest Rate Policy (NIRP) is an unconventional monetary tool where central banks set interest rates below zero, aiming to stimulate economic activity.
Negative Real Interest Rates as a Driver for Crypto Investments
When the rate of inflation exceeds the nominal interest rate offered on savings, the purchasing power of money diminishes over time.
Understanding Real Interest Rates: Nominal Interest Minus Inflation and Their Impact on Bitcoin
Real interest rates, calculated as the nominal interest rate minus inflation, represent the true cost of borrowing and the actual return on investment.
Risk-On vs Risk-Off: Understanding Market Sentiment for Crypto Traders
Risk-on and risk-off describe shifts in investor willingness to take on risk, influencing asset allocation across global markets.
Understanding Risk-On Behavior in Financial Markets and Crypto
Risk-on behavior describes a market environment where investors actively seek higher-yielding, often more volatile assets, driven by economic optimism.
Trading Bot Error Handling and Failover Mechanisms
Trading bots require robust error handling to manage unexpected conditions like network outages or API errors.
Building a Crypto Trading Bot in Python from Scratch
A crypto trading bot is an automated software program designed to execute cryptocurrency trades based on predefined rules.
Interpreting Liquidation Clusters as Price Magnets
Liquidation clusters represent price levels where a significant volume of leveraged trading positions would be forcibly closed. Understanding these clusters can offer insights into potential areas of market liquidity and price attraction.
Integrating TA-Lib for Technical Indicators in Custom Code
TA-Lib is an open-source library for integrating over 200 technical analysis indicators into custom trading applications.
Vectorbt: Fast Vectorized Crypto Backtesting
Vectorbt is a powerful Python library designed for rapid and efficient backtesting of trading strategies, particularly in the cryptocurrency market.
Crypto Backtesting in Python with Pandas and Vectorbt
Backtesting allows traders to evaluate the potential performance of a trading strategy using historical market data without risking real capital.