Storj Market Value
| STORJ Crypto | USD 0.65 0.02 3.17% |
| Symbol | Storj |
Storj 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Storj's crypto coin what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Storj.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Storj on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Storj or generate 0.0% return on investment in Storj over 30 days. Storj is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Worldcoin, and Stellar. Storj is peer-to-peer digital currency powered by the Blockchain technology.
Storj Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Storj's crypto coin current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Storj upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.7 | |||
| Information Ratio | 0.1344 | |||
| Maximum Drawdown | 46.57 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 9.09 |
Storj Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Storj's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Storj's standard deviation. In reality, there are many statistical measures that can use Storj historical prices to predict the future Storj's volatility.| Risk Adjusted Performance | 0.1275 | |||
| Jensen Alpha | 0.8424 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | 0.1556 | |||
| Treynor Ratio | 0.7529 |
Storj Backtested Returns
Storj is unusually volatile given 3 months investment horizon. Storj owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates digital coin had a 0.18% return per unit of risk over the last 3 months. We were able to break down twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.2% are justified by taking the suggested risk. Use Storj Semi Deviation of 4.4, risk adjusted performance of 0.1275, and Coefficient Of Variation of 644.17 to evaluate coin specific risk that cannot be diversified away. The entity has a beta of 1.35, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Storj will likely underperform.
Auto-correlation | 0.65 |
Good predictability
Storj has good predictability. Overlapping area represents the amount of predictability between Storj time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Storj price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current Storj price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Storj lagged returns against current returns
Autocorrelation, which is Storj crypto coin's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Storj's crypto coin expected returns. We can calculate the autocorrelation of Storj returns to help us make a trade decision. For example, suppose you find that Storj has exhibited high autocorrelation historically, and you observe that the crypto coin is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Storj regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Storj crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Storj crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Storj crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Storj Lagged Returns
When evaluating Storj's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Storj crypto coin have on its future price. Storj autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Storj autocorrelation shows the relationship between Storj crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Storj.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Storj offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Storj's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Storj Crypto.Check out Storj Correlation, Storj Volatility and Investing Opportunities module to complement your research on Storj. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Storj 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.