Bridge Saas (Australia) Technical Analysis
| BGE Stock | 0.01 0.00 0.00% |
As of the 16th of February 2026, Bridge Saas shows the Downside Deviation of 16.37, mean deviation of 3.58, and Risk Adjusted Performance of 0.0527. Bridge Saas technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Bridge Saas Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Bridge, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BridgeBridge |
Bridge Saas '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 Bridge Saas' stock 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 Bridge Saas.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in Bridge Saas on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding Bridge Saas or generate 0.0% return on investment in Bridge Saas over 90 days. Bridge Saas is related to or competes with Commonwealth Bank, Macquarie, National Australia, National Australia, National Australia, National Australia, and Aneka Tambang. Bridge Saas is entity of Australia. It is traded as Stock on AU exchange. More
Bridge Saas 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 Bridge Saas' stock 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 Bridge Saas upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 16.37 | |||
| Information Ratio | 0.0451 | |||
| Maximum Drawdown | 65.15 | |||
| Value At Risk | (6.67) | |||
| Potential Upside | 12.5 |
Bridge Saas Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bridge Saas' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bridge Saas' standard deviation. In reality, there are many statistical measures that can use Bridge Saas historical prices to predict the future Bridge Saas' volatility.| Risk Adjusted Performance | 0.0527 | |||
| Jensen Alpha | 0.4805 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | 0.0213 | |||
| Treynor Ratio | (0.34) |
Bridge Saas February 16, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0527 | |||
| Market Risk Adjusted Performance | (0.33) | |||
| Mean Deviation | 3.58 | |||
| Semi Deviation | 5.86 | |||
| Downside Deviation | 16.37 | |||
| Coefficient Of Variation | 1845.57 | |||
| Standard Deviation | 7.73 | |||
| Variance | 59.75 | |||
| Information Ratio | 0.0451 | |||
| Jensen Alpha | 0.4805 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | 0.0213 | |||
| Treynor Ratio | (0.34) | |||
| Maximum Drawdown | 65.15 | |||
| Value At Risk | (6.67) | |||
| Potential Upside | 12.5 | |||
| Downside Variance | 268.08 | |||
| Semi Variance | 34.32 | |||
| Expected Short fall | (11.16) | |||
| Skewness | (0.20) | |||
| Kurtosis | 9.8 |
Bridge Saas Backtested Returns
Bridge Saas appears to be out of control, given 3 months investment horizon. Bridge Saas secures Sharpe Ratio (or Efficiency) of 0.0257, which signifies that the company had a 0.0257 % return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Bridge Saas, which you can use to evaluate the volatility of the firm. Please makes use of Bridge Saas' Risk Adjusted Performance of 0.0527, mean deviation of 3.58, and Downside Deviation of 16.37 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Bridge Saas holds a performance score of 2. The firm shows a Beta (market volatility) of -1.2, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Bridge Saas are expected to decrease by larger amounts. On the other hand, during market turmoil, Bridge Saas is expected to outperform it. Please check Bridge Saas' information ratio, total risk alpha, and the relationship between the variance and jensen alpha , to make a quick decision on whether Bridge Saas' price patterns will revert.
Auto-correlation | -0.68 |
Very good reverse predictability
Bridge Saas has very good reverse predictability. Overlapping area represents the amount of predictability between Bridge Saas time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th 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 Bridge Saas price movement. The serial correlation of -0.68 indicates that around 68.0% of current Bridge Saas price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.68 | |
| Spearman Rank Test | -0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Bridge Saas technical stock 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, stock market cycles, or different charting patterns.
Bridge Saas Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Bridge Saas volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Bridge Saas Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Bridge Saas on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Bridge Saas based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Bridge Saas price pattern first instead of the macroeconomic environment surrounding Bridge Saas. By analyzing Bridge Saas's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Bridge Saas's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Bridge Saas specific price patterns or momentum indicators. Please read more on our technical analysis page.
Bridge Saas February 16, 2026 Technical Indicators
Most technical analysis of Bridge help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Bridge from various momentum indicators to cycle indicators. When you analyze Bridge charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0527 | |||
| Market Risk Adjusted Performance | (0.33) | |||
| Mean Deviation | 3.58 | |||
| Semi Deviation | 5.86 | |||
| Downside Deviation | 16.37 | |||
| Coefficient Of Variation | 1845.57 | |||
| Standard Deviation | 7.73 | |||
| Variance | 59.75 | |||
| Information Ratio | 0.0451 | |||
| Jensen Alpha | 0.4805 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | 0.0213 | |||
| Treynor Ratio | (0.34) | |||
| Maximum Drawdown | 65.15 | |||
| Value At Risk | (6.67) | |||
| Potential Upside | 12.5 | |||
| Downside Variance | 268.08 | |||
| Semi Variance | 34.32 | |||
| Expected Short fall | (11.16) | |||
| Skewness | (0.20) | |||
| Kurtosis | 9.8 |
Bridge Saas February 16, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Bridge stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.01 | ||
| Day Typical Price | 0.01 | ||
| Price Action Indicator | 0.00 |
Additional Tools for Bridge Stock Analysis
When running Bridge Saas' price analysis, check to measure Bridge Saas' 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 Bridge Saas is operating at the current time. Most of Bridge Saas' value examination focuses on studying past and present price action to predict the probability of Bridge Saas' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bridge Saas' price. Additionally, you may evaluate how the addition of Bridge Saas to your portfolios can decrease your overall portfolio volatility.