Direct Line Pink Sheet Forward View - Polynomial Regression
| DIISFDelisted Stock | USD 4.17 0.00 0.00% |
Direct Pink Sheet outlook is based on your current time horizon. We suggest always using this module together with an analysis of Direct Line's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 9th of February 2026 the relative strength index (rsi) of Direct Line's share price is below 20 suggesting 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 Direct Line hype-based prediction, you can estimate the value of Direct Line Insurance from the perspective of Direct Line response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Direct Line Insurance on the next trading day is expected to be 3.96 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 5.01. Direct Line after-hype prediction price | USD 4.17 |
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.
Direct |
Direct Line Additional Predictive Modules
Most predictive techniques to examine Direct price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Direct using various technical indicators. When you analyze Direct 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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Direct Line Polynomial Regression Price Forecast For the 10th of February
Given 90 days horizon, the Polynomial Regression forecasted value of Direct Line Insurance on the next trading day is expected to be 3.96 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.01.Please note that although there have been many attempts to predict Direct Pink Sheet prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Direct Line's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Direct Line Pink Sheet Forecast Pattern
| Backtest Direct Line | Direct Line Price Prediction | Research Analysis |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Direct Line pink sheet data series using in forecasting. Note that when a statistical model is used to represent Direct Line pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 113.5152 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0821 |
| MAPE | Mean absolute percentage error | 0.0224 |
| SAE | Sum of the absolute errors | 5.0051 |
Predictive Modules for Direct Line
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Direct Line Insurance. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Direct Line's 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.
Direct Line After-Hype Price Density Analysis
As far as predicting the price of Direct Line at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Direct Line or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Direct Line, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Direct Line Estimiated After-Hype Price Volatility
In the context of predicting Direct Line's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Direct Line's historical news coverage. Direct Line's after-hype downside and upside margins for the prediction period are 4.17 and 4.17, respectively. We have considered Direct Line's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Direct Line is very steady at this time. Analysis and calculation of next after-hype price of Direct Line Insurance is based on 3 months time horizon.
Direct Line Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Direct Line is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Direct Line backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Direct Line, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.00 | 0.00 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
4.17 | 4.17 | 0.00 |
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Direct Line Hype Timeline
Direct Line Insurance is currently traded for 4.17. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Direct is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at 0.0%. %. The volatility of related hype on Direct Line is about 0.0%, with the expected price after the next announcement by competition of 4.17. About 82.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 1.11. Some equities with similar Price to Book (P/B) outperform the market in the long run. Direct Line Insurance has Price/Earnings To Growth (PEG) ratio of 1.69. The entity last dividend was issued on the 11th of August 2022. The firm had 11:12 split on the 30th of June 2015. Assuming the 90 days horizon the next projected press release will be in a few days. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in producer price index.Direct Line Related Hype Analysis
Having access to credible news sources related to Direct Line's direct competition is more important than ever and may enhance your ability to predict Direct Line's future price movements. Getting to know how Direct Line's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Direct Line may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TPDNF | Topdanmark AS | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| TPDKY | Topdanmark AS | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CTIHY | China Taiping Insurance | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| GIVPY | Grupo de Inversiones | 0.00 | 0 per month | 0.00 | (0.18) | 0.00 | 0.00 | 3.51 | |
| ZZHGF | ZhongAn Online P | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| RMRHF | Rand Merchant Investment | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| AMMHF | AMMB Holdings Berhad | 0.00 | 0 per month | 0.00 | 0.09 | 0.00 | 0.00 | 50.00 | |
| GCNJF | Grupo Catalana Occidente | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| CBWBF | Canadian Western Bank | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| FDIAY | UnipolSai Assicurazioni SpA | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Direct Line 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 Direct Line pink sheet to make a market-neutral strategy. Peer analysis of Direct Line could also be used in its relative valuation, which is a method of valuing Direct Line by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Direct Line Market Strength Events
Market strength indicators help investors to evaluate how Direct Line 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 Direct Line shares will generate the highest return on investment. By undertsting and applying Direct Line pink sheet market strength indicators, traders can identify Direct Line Insurance entry and exit signals to maximize returns.
Story Coverage note for Direct Line
The number of cover stories for Direct Line depends on current market conditions and Direct Line's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Direct Line 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 Direct Line's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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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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Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in producer price index. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Other Consideration for investing in Direct Pink Sheet
If you are still planning to invest in Direct Line Insurance check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Direct Line's history and understand the potential risks before investing.
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