QBE Insurance Pink Sheet Forward View - Accumulation Distribution
| QBIEY Stock | USD 13.87 0.07 0.51% |
QBE Pink Sheet outlook is based on your current time horizon.
At this time the relative strength index (rsi) of QBE Insurance's share price is below 20 indicating that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using QBE Insurance hype-based prediction, you can estimate the value of QBE Insurance Group from the perspective of QBE Insurance response to recently generated media hype and the effects of current headlines on its competitors.
QBE Insurance after-hype prediction price | USD 13.87 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
QBE |
QBE Insurance Additional Predictive Modules
Most predictive techniques to examine QBE price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for QBE using various technical indicators. When you analyze QBE charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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| Overlap Studies | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Previous Accumulation Distribution | Accumulation Distribution | Trend |
| 302.12 | 0.0086 |
| Check QBE Insurance Volatility | Backtest QBE Insurance | Information Ratio |
QBE Insurance Trading Date Momentum
| On February 17 2026 QBE Insurance Group was traded for 13.87 at the closing time. The highest daily price throughout the period was 13.90 and the lowest price was 13.78 . There was no trading activity during the period 0.0. Lack of trading volume on 02/17/2026 did not cause price change. The trading delta at closing time to current closing price is 0.29% . |
Accumulation distribution indicator can signal that a trend is either nearing completion, at a continuation, or is about to break-outs. The actual value of this indicator is of no significance. What is significant is the change in value of over time. The formula for A/D of a given trading day can be expressed as follow: ((Close - Low) - (High - Close)) / (High - Low) X Volume
| Compare QBE Insurance to competition |
Other Forecasting Options for QBE Insurance
For every potential investor in QBE, whether a beginner or expert, QBE Insurance's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. QBE Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in QBE. Basic forecasting techniques help filter out the noise by identifying QBE Insurance's price trends.QBE Insurance Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with QBE Insurance pink sheet to make a market-neutral strategy. Peer analysis of QBE Insurance could also be used in its relative valuation, which is a method of valuing QBE Insurance by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
QBE Insurance Market Strength Events
Market strength indicators help investors to evaluate how QBE Insurance pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading QBE Insurance shares will generate the highest return on investment. By undertsting and applying QBE Insurance pink sheet market strength indicators, traders can identify QBE Insurance Group entry and exit signals to maximize returns.
QBE Insurance Risk Indicators
The analysis of QBE Insurance's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in QBE Insurance's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting qbe pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.01 | |||
| Semi Deviation | 1.25 | |||
| Standard Deviation | 1.33 | |||
| Variance | 1.78 | |||
| Downside Variance | 1.86 | |||
| Semi Variance | 1.55 | |||
| Expected Short fall | (1.15) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for QBE Insurance
The number of cover stories for QBE Insurance depends on current market conditions and QBE Insurance's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that QBE Insurance is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about QBE Insurance's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
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QBE Insurance Short Properties
QBE Insurance's future price predictability will typically decrease when QBE Insurance's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of QBE Insurance Group often depends not only on the future outlook of the potential QBE Insurance's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. QBE Insurance's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 1.4 B | |
| Cash And Short Term Investments | 819 M |
Additional Tools for QBE Pink Sheet Analysis
When running QBE Insurance's price analysis, check to measure QBE Insurance'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 QBE Insurance is operating at the current time. Most of QBE Insurance's value examination focuses on studying past and present price action to predict the probability of QBE Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move QBE Insurance's price. Additionally, you may evaluate how the addition of QBE Insurance to your portfolios can decrease your overall portfolio volatility.