Story Alpha and Beta Analysis
| IP Crypto | USD 1.47 0.01 0.68% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Story. It also helps investors analyze the systematic and unsystematic risks associated with investing in Story over a specified time horizon. Remember, high Story's alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation.
Beta (0.98) | Alpha (2.46) | Risk 9.85 | Sharpe Ratio (0.22) | Expected Return (2.12) |
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
Story |
Story Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Story market risk premium is the additional return an investor will receive from holding Story long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Story. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate Story's performance over market.| α | -2.46 | β | -0.98 |
Story Price Momentum Analysis
Story Market Price Analysis
Market price analysis indicators help investors to evaluate how Story crypto coin reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Story shares will generate the highest return on investment. By understating and applying Story crypto coin market price indicators, traders can identify Story position entry and exit signals to maximize returns.
Story Return and Market Media
The median price of Story for the period between Fri, Sep 26, 2025 and Thu, Dec 25, 2025 is 3.69 with a coefficient of variation of 59.37. The daily time series for the period is distributed with a sample standard deviation of 2.65, arithmetic mean of 4.46, and mean deviation of 2.14. The Crypto received some media coverage during the period. Price Growth (%) |
| Timeline |
1 | Bitcoin Price, Ethereum, XRP Rise. Why the Crypto Rally Is Gaining Momentum. - Barrons | 10/03/2025 |
2 | Why some Bitcoin mining companies are ditching cryptocurrency for AI - NPR | 12/19/2025 |
About Story Beta and Alpha
For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including Story or other cryptos. Alpha measures the amount that position in Story has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
Story Investors Sentiment
The influence of Story's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Story. The overall investor sentiment generally increases the direction of a crypto movement in a one-year investment horizon. However, the impact of investor sentiment on the entire crypto market does not have solid backing from leading economists and market statisticians.
Investor biases related to Story's public news can be used to forecast risks associated with an investment in Story. The trend in average sentiment can be used to explain how an investor holding Story can time the market purely based on public headlines and social activities around Story. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Story's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Story's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Story's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Story.
Some cryptocurrency investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. However, unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Story in the overall investment community. So, suppose investors can accurately measure the crypto's market sentiment. In that case, they can use it for their benefit. For example, some tools provided by cryptocurrency exchanges to gauge market sentiment could be utilized to time the market in a somewhat predictable way.
Build Portfolio with Story
Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.Build Diversified Portfolios
Align your risk with return expectations
Check out Story Backtesting, Portfolio Optimization, Story Correlation, Cryptocurrency Center, Story Volatility, Story History and analyze Story Performance. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Story technical crypto coin analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, crypto market cycles, or different charting patterns.