Introducing The New 52 Weeks High Filter To The I Know First Algorithm

Introducing The New 52 Weeks High Filter To The I Know First Algorithm

Stock analysis is an important part of every trading and investing strategy. Analysts attempt to uncover the “true” value of an asset in order to determine which direction the price will tend to move in the future. There are two kinds of stock analysis that analysts can use, fundamental analysis and technical analysis. Fundamental analysis is done by focusing on the specifics of the company being analyzed such as sales numbers, revenue, and net income. This information can come from various sources including financial records and economic reports.

52 week high

Technical analysis, on the other hand, focuses on market history to determine indicators of a stock’s future price trends. Some examples of technical indicators are historical prices and trading volume. One way that traders and investors identify buying and selling opportunities is by tracking an asset’s 52-week range. This range is the price range that the asset has been trading in for the previous year.

When a stock nears the boundaries of its 52-week price range, investors may be more interested in buying or selling depending on their trading strategy. Many traders will buy a stock when the price surpasses the 52-week low or sell when the price dips lower than the 52-week low. The strategy here is backed by the belief that the trend has momentum behind it and will remain steady. Conversely, another strategy is exactly the opposite. Some traders employ the strategy of selling when the stock hits its 52-week high and to buy when the stock reaches its 52-week low. Here, the assumption is that the stock trend will reverse and recede back into the 52-week price range.

Our new 52 Week High Stocks forecast is designed for investors and analysts who need trend predictions for stocks currently trading at their 52-weeks high price level. This package is complemented by our existing 52 Week Low Stocks package, which filters stocks that are trading at their lowest price for the previous 52 weeks. The self-learning algorithm filters out stocks that fit the criteria and then does further analysis to assign each asset a trading signal indicating whether the stock is likely to see an increase or a decrease in price. Forecasts from this package include 20 stocks with bullish and bearish signals and indicates the 10 best stocks for both the long and short positions.