Fuse Science Stock Net Income
| DROP Stock | USD 0 0.0002 8.33% |
As of the 8th of February, Fuse Science shows the Standard Deviation of 8.14, variance of 66.18, and Mean Deviation of 4.64. Fuse Science technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Analyzing historical trends in various income statement and balance sheet accounts from Fuse Science's financial statements helps investors evaluate the company's valuation, profitability, and current liquidity needs. Key fundamental drivers impacting Fuse Science's valuation are summarized below:Fuse Science does not presently have any fundamental signals for analysis. This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools. Fuse |
Fuse Science '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 Fuse Science's pink sheet 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 Fuse Science.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in Fuse Science on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding Fuse Science or generate 0.0% return on investment in Fuse Science over 90 days. Fuse Science is related to or competes with Eddy Smart. Fuse Science, Inc. operates a cloud-based customer service software platform More
Fuse Science 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 Fuse Science's pink sheet 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 Fuse Science upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 47.62 | |||
| Value At Risk | (14.29) | |||
| Potential Upside | 14.29 |
Fuse Science Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fuse Science's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fuse Science's standard deviation. In reality, there are many statistical measures that can use Fuse Science historical prices to predict the future Fuse Science's volatility.| Risk Adjusted Performance | 0.0046 | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.86) | |||
| Treynor Ratio | (0.08) |
Fuse Science February 8, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Pattern Recognition | ||
| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.0046 | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 4.64 | |||
| Coefficient Of Variation | (18,119) | |||
| Standard Deviation | 8.14 | |||
| Variance | 66.18 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.86) | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 47.62 | |||
| Value At Risk | (14.29) | |||
| Potential Upside | 14.29 | |||
| Skewness | 0.9683 | |||
| Kurtosis | 4.64 |
Fuse Science Backtested Returns
Currently, Fuse Science is out of control. Fuse Science secures Sharpe Ratio (or Efficiency) of 0.0178, which denotes the company had a 0.0178 % return per unit of risk over the last 3 months. We have found twenty-one technical indicators for Fuse Science, which you can use to evaluate the volatility of the firm. Please confirm Fuse Science's Standard Deviation of 8.14, mean deviation of 4.64, and Variance of 66.18 to check if the risk estimate we provide is consistent with the expected return of 0.15%. Fuse Science has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.69, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fuse Science's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fuse Science is expected to be smaller as well. Fuse Science right now shows a risk of 8.18%. Please confirm Fuse Science jensen alpha, kurtosis, as well as the relationship between the Kurtosis and price action indicator , to decide if Fuse Science will be following its price patterns.
Auto-correlation | -0.43 |
Modest reverse predictability
Fuse Science has modest reverse predictability. Overlapping area represents the amount of predictability between Fuse Science time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Fuse Science price movement. The serial correlation of -0.43 indicates that just about 43.0% of current Fuse Science price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.43 | |
| Spearman Rank Test | 0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
| Competition |
Based on the recorded statements, Fuse Science reported net income of (25.03 Million). This is 104.64% lower than that of the Technology sector and significantly lower than that of the Software—Application industry. The net income for all United States stocks is 104.38% higher than that of the company.
Fuse Net Income Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Fuse Science's direct or indirect competition against its Net Income to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Fuse Science could also be used in its relative valuation, which is a method of valuing Fuse Science by comparing valuation metrics of similar companies.Fuse Science is currently under evaluation in net income category among its peers.
Fuse Fundamentals
| Return On Asset | -38.54 | |||
| Current Valuation | 136 K | |||
| Shares Outstanding | 80 M | |||
| Price To Earning | (0.01) X | |||
| Price To Sales | 22.46 X | |||
| Revenue | 4.27 K | |||
| Gross Profit | (975.95 K) | |||
| EBITDA | (26.29 M) | |||
| Net Income | (25.03 M) | |||
| Cash And Equivalents | 115.75 K | |||
| Debt To Equity | 0.70 % | |||
| Current Ratio | 0.15 X | |||
| Book Value Per Share | (0.14) X | |||
| Cash Flow From Operations | (1.52 M) | |||
| Earnings Per Share | (0.31) X | |||
| Beta | 0.76 | |||
| Market Capitalization | 864 K | |||
| Total Asset | 118.45 K | |||
| Retained Earnings | (76.99 M) | |||
| Working Capital | (1.02 M) | |||
| Current Asset | 134 K | |||
| Current Liabilities | 1.16 M | |||
| Net Asset | 118.45 K |
About Fuse Science Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Fuse Science's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Fuse Science using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Fuse Science based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Fuse Science
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Fuse Science position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Fuse Science will appreciate offsetting losses from the drop in the long position's value.Moving against Fuse Pink Sheet
| 0.73 | AA | Alcoa Corp | PairCorr |
| 0.66 | BA | Boeing | PairCorr |
| 0.65 | DD | Dupont De Nemours Earnings Call Tomorrow | PairCorr |
| 0.59 | MRK | Merck Company Aggressive Push | PairCorr |
| 0.55 | CAT | Caterpillar | PairCorr |
The ability to find closely correlated positions to Fuse Science could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fuse Science when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Fuse Science - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Fuse Science to buy it.
The correlation of Fuse Science is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Fuse Science moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fuse Science moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Fuse Science can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Fuse Pink Sheet Analysis
When running Fuse Science's price analysis, check to measure Fuse Science's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Fuse Science is operating at the current time. Most of Fuse Science's value examination focuses on studying past and present price action to predict the probability of Fuse Science's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fuse Science's price. Additionally, you may evaluate how the addition of Fuse Science to your portfolios can decrease your overall portfolio volatility.