Continuing from yesterday's analysis, where we highlighted the year-to-date volume across multiple exchanges, today we look at how the trading volume of the main crypto has changed over the last months, specifically on the Binance exchange. Amidst the recent surge in excitement surrounding the introduction of spot Bitcoin ETFs, the year-to-date (YTD) dollar volume across centralized exchanges has surged to levels not witnessed since late 2021. Considering the top crypto by market cap, the daily trading volume in the Binance exchange peaked at $18 billion on March 6th, marking a substantial increase from the lows observed in early February, which hovered around $6.5 billion. Remarkably, daily exchange volume has surpassed this threshold for less than two months throughout its history, with the majority of this period occurring during the bullish trend of 2021 when Bitcoin initially soared to $69,000. While the surge in daily trading volume has been rapid in March, monthly trading volume has been steadily climbing over the past few months. Would like to replicate the analysis? Check the resources below: DataLab: https://lnkd.in/dxxYcHb9 Code available at: https://drive.google.com/drive/folders/10wWINUg1PtWl-nE27NRLkiZRIE_8sXjR?usp=drive_link Follow the page for more content! 🔔

Examining the distribution of trading volume across different exchanges offers intriguing insights into liquidity levels, user preferences, and prevailing market trends. When considering year-to-date (YTD) data analysis, several notable patterns emerge. Among the top crypto, Bitcoin consistently emerges as the dominant player, accounting for roughly 50-60% of trading volume across various exchanges. Following closely is Ethereum (ETH), typically capturing around 30% of the market share. However, what's particularly interesting is the higher variability observed among other cryptocurrencies. This variability underscores the diverse landscape of the cryptocurrency market, where certain assets may experience fluctuating levels of trading activity across different exchanges. Would like to replicate the analysis? Check the resources below: DataLab: https://lnkd.in/dxxYcHb9 Code available at: https://lnkd.in/dR7j56Qz Follow the page for more content! 🔔

During the Q1of 2024, cryptocurrencies have demonstrated remarkable performance, capturing the attention of investors, including the most cautious ones. Their resurgence is making headlines once again. The chart shows the return of the leading cryptocurrencies on the Binance exchange. Notably, Binance Coin (BNB) has showcased the strongest performance so far, boasting an impressive 78% increase. Resources: - DataLab - Code Feel free to use the code for your personal analysis and investment ideas. Comment to share your market view with the community!

The relationship between the S&P 500 and its equally weighted counterpart has been a topic of interest among investors. While both track the same stocks, their weighting methodologies differ. The S&P 500 is market-cap-weighted, while the S&P Equal Weighted Index assigns equal weight to each stock. Over the past two years, from 2022 to 2024, there has been a notable shift in the performance dynamics of the S&P indices. In contrast to the preceding decade, where the S&P Equal Weighted Index often outperformed its counterpart, the S&P 500, the recent trend has seen a reversal. During this period, the S&P 500 has exhibited notably stronger performance compared to its equally weighted counterpart. This divergence underscores the evolving market dynamics and could be largely attributed to the exceptional growth and performance of giant technology companies, fuelled by the recent advancements in the AI space. Would like to replicate the analysis? Check the resources below: DataLab: https://lnkd.in/dxxYcHb9 Code available at: https://lnkd.in/ddzFpAxQ Follow the page for more content! 🔔

Volatility in financial terms is most commonly measured by the standard deviation of returns, representing the degree to which an asset's price varies around its mean over a given period. This conventional approach captures the average fluctuation in price, providing a statistical measure of risk. On the other hand, some studies have introduce a new concept, the "time-to-hit" volatility, defined as the number of days it takes for the price to achieve a +/- 5% return. This method focuses on the time dimension of volatility, specifically how quickly or slowly an asset reaches a predetermined percentage change in price. While standard deviation-based volatility gives investors insight into how erratic price movements are, the days to X% return method sheds light on the asset's momentum and the typical time frame for significant price movements. We conducted an analysis encompassing both measures and compared their rankings across all components of the S&P 500. Examining the chart below, we observe that the two metrics yield analogous outcomes for the most and least volatile stocks. However, the data suggests a less uniform correlation for stocks situated within the intermediate volatility range. Would like to replicate the analysis? Check the resources below: DataLab: https://lnkd.in/dxxYcHb9 Code available at: https://drive.google.com/drive/folders/1gs6z-qMl7B4f8-Oo8BtwsCM4Fm01L_Ff?usp=sharing Follow the page for more content! 🔔