Donegal Group is up a bit on the day, funds flowing in kept the price up 1.54% since yesterday.
The Insurance company isn't at an immediate support or resistance level that might be predictive. Momentum wise Donegal Group, has been oscillating up and down but hasn't shown much directional energy that would be predictive to the near future. DGICA might find some support at the 14.1 level, buyers might push the price back up from here. But it's not very clear what will happen.
|Company||YOY Growth Score (typical -20 to +20)||Revision Directions (-6 to +6)|
We take into account several different measures of short interest to create a composite score. These measures are shown in the chart below. Short selling is when investors are betting against a stock. We compile these factors to create a dynamic Short Score - this can indicate poor sentiment, internal problems with a company or industry and the anticipation of future price declines. We look at the short interest percent, days to cover, the rate of change and total shares sold short.
|Company|| Short Score (typical 1-15)
We take into account several different measures and attributes of short interest to create a composite sentiment score. typical range (0 - 30)
|Short Interest||Days to Cover||Rate of Change||Shares Short|
|Segment||Count||1 Day%||5 Day||1 Month||3 Month||6 Month||1 Year||RSI|| 3mo S-momo ?
Smooth Momentum is our proprietary technical indicator that looks for momentum with the greatest consistency and steady velocity. We have penalized dramatic swings and fluctuations. If the momentum is too high and an asset spikes upward, this is often unreliable and collapses back down. But the smoothed momentum provides the highest probability of continuing into the near future with the same directional rate of change. Several complex factors are weighted by neural nets to maximize probabilistic accuracy. It works the same with positive or negative directions.
|6mo S-momo||1yr S-momo|| Resistance ?
Support and Resistance levels are determined by previous high and low points. You may be familiar with traders drawing lines across charts where several peaks or valleys occur in the same range. This helps us understand the trading range of an asset where the market doesn't perceive it to be worth more or less than a certain price level. When it nears the boundaries of this range the probability of reversal can increase. Our neural nets create scores for this measure based on many factors such as the frequency, recency, size, consistency, etc of previous reversal points.
|Support|| Demark Sell ?
Demark 9 indicators are designed to look for exhaustion in the selling or buying trend which can often be predictive of a reversal point. This indicator is triggered when there are 9 consecutive days where the closing price is higher/lower than the closing price 4 days ago. Like all indicators, it is best used in combinations with other factors.
|Demark Buy||Short Interest||Analysts Ratings ?
We track several different measures of analyst sentiment including ratings and price targets. To create a composite Analyst Sentiment Score, we weight several factors such as the recent rate of change which can be more predictive than the absolute level. We also weight each analyst's opinion based on their historic accuracy. We built in a time decay function to ensure that the rating reflects the current sentiment levels. Typical range (-80 to +80)
|Insurance - Property & Casualty||30||1.15||4.12||11.24||10.29||33.31||21.59||68.87||12.66||5.85||6.07||-3257.32||-11934.46||30.83||3.33||2.68||31.02|
Social Sentiment is an aggregation of several different factors such as news, articles, blogs, user content, ratings, etc. Which is shown in the chart below. It may become predictive of a reversal if price and the sentiment diverge. Broader market forces may push prices up or down but if market participants maintain a different view on a specific stock, it may be taken as an opportunity to buy or sell in those cases.
How to use: use the research links to research the asset. Then simply type in a score for each category between (01, 02, 03, 04, 05). 05 being the most bullish and 01 being the most bearish. It will automatically calculate the average and combine it with the technical score to create an overall score to rank prospects by. You can also type notes into each field.