Battery Minerals Limited Stock Market Value
| BTRYF Stock | USD 0.35 0.15 30.00% |
| Symbol | Battery |
Battery Minerals '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 Battery Minerals' 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 Battery Minerals.
| 01/18/2024 |
| 01/07/2026 |
If you would invest 0.00 in Battery Minerals on January 18, 2024 and sell it all today you would earn a total of 0.00 from holding Battery Minerals Limited or generate 0.0% return on investment in Battery Minerals over 720 days. Battery Minerals is related to or competes with Centaurus Metals, Talga Group, Aftermath Silver, Talisker Resources, Australian Strategic, Canada Nickel, and Foraco International. Battery Minerals Limited operates as a diversified minerals exploration company More
Battery Minerals 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 Battery Minerals' 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 Battery Minerals Limited upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 31.6 | |||
| Information Ratio | 0.0759 | |||
| Maximum Drawdown | 94.18 | |||
| Value At Risk | (30.00) | |||
| Potential Upside | 35.48 |
Battery Minerals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Battery Minerals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Battery Minerals' standard deviation. In reality, there are many statistical measures that can use Battery Minerals historical prices to predict the future Battery Minerals' volatility.| Risk Adjusted Performance | 0.0689 | |||
| Jensen Alpha | 1.41 | |||
| Total Risk Alpha | (0.70) | |||
| Sortino Ratio | 0.046 | |||
| Treynor Ratio | 1.07 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Battery Minerals' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Battery Minerals Backtested Returns
Battery Minerals is out of control given 3 months investment horizon. Battery Minerals secures Sharpe Ratio (or Efficiency) of 0.0846, which signifies that the company had a 0.0846 % return per unit of risk over the last 3 months. We have analyzed and interpolated twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.66% are justified by taking the suggested risk. Use Battery Minerals Downside Deviation of 31.6, mean deviation of 10.41, and Risk Adjusted Performance of 0.0689 to evaluate company specific risk that cannot be diversified away. Battery Minerals holds a performance score of 6 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 1.44, which signifies 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, Battery Minerals will likely underperform. Use Battery Minerals value at risk, as well as the relationship between the skewness and day median price , to analyze future returns on Battery Minerals.
Auto-correlation | 0.75 |
Good predictability
Battery Minerals Limited has good predictability. Overlapping area represents the amount of predictability between Battery Minerals time series from 18th of January 2024 to 12th of January 2025 and 12th of January 2025 to 7th of January 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 Battery Minerals price movement. The serial correlation of 0.75 indicates that around 75.0% of current Battery Minerals price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.75 | |
| Spearman Rank Test | 0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Battery Minerals lagged returns against current returns
Autocorrelation, which is Battery Minerals pink sheet'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 Battery Minerals' pink sheet expected returns. We can calculate the autocorrelation of Battery Minerals returns to help us make a trade decision. For example, suppose you find that Battery Minerals has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Battery Minerals 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 Battery Minerals pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Battery Minerals pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Battery Minerals pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Battery Minerals Lagged Returns
When evaluating Battery Minerals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Battery Minerals pink sheet have on its future price. Battery Minerals 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, Battery Minerals autocorrelation shows the relationship between Battery Minerals pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Battery Minerals Limited.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Battery Pink Sheet
Battery Minerals financial ratios help investors to determine whether Battery Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Battery with respect to the benefits of owning Battery Minerals security.