Securities in the market can be analyzed on technical levels or fundamental ones, and it is generally best to take both into account, despite the fact that some theories dispute the merits of technical analysis. Some might say that fundamental analysis is all that you need to make wise investment decisions, and to some extent that is actually correct: at a minimal level, if all you had were fundamentals, you could make wise investment decisions. That does not mean, however, that all technical analysis is superfluous. Continue reading...
Technical analysis is a method of evaluating the worth and probable future direction of security prices using charts and data concerning prices and volume. This is the counterpart to fundamental analysis, which looks at the physical operations of a company and their place in the market to determine value. Those who practice technical analysis are sometimes called “quants” or chartists because they believe that the most important information about a security will be found in the data on the price, volume, and the moving averages and volatility associated with them. Continue reading...
The analysis of convergence and divergence between indexes and other data seeks to find leading indicators where there is confirmation or non-confirmation of trends. Dow Theory was one of the first examples of such thinking. Charles Dow would watch the movements of Industrials and the Rail and compare the uptrend or downtrend of each. Where trends do not line up (e.g., one is trending downward with lower troughs and the other has “higher lows”) there is “divergence”, and non-confirmation of what was thought to be a trend in one index. Continue reading...
What does it mean to technically analyze a stock or other security? Technical analysis involves identifying price ranges, trend momentum, and points of possible reversals via graphical representations of the math behind price movements, examining information to the second or third derivative, and using trial-and-error with formulas. Geometry, calculus, physics, and finance all play a part in this methodology. Continue reading...
Technical Indicators are charting tools that appear as lines on charts, or as other kinds of graphical information, which serve as guidelines for buying and selling opportunities. They are based on mathematical formulas, and may be called oscillators, trading bands, and signal lines, among other things. Technical analysts use information about price, volume, standard deviation, and other metrics to construct systems for trading using mathematical formulas which can be translated into useful charting tools. The systems can bring discipline to a trader’s strategy by providing clearly defined circumstances in which a trader has reason to buy, sell, hold, and so on. Continue reading...
Technical indicators include moving average lines, trading bands, oscillators, and formations (found here), often presented in combinations. Popular indicators carry proper names. There are thousands of technical indicators, but the most popular ones are the MACD, Bollinger Bands, Stochastic Oscillators, the Directional Movement Indicator and various patterns of price behavior, such as “Head and Shoulder” formations. Continue reading...
Investment analysis is the practice of evaluating assets or securities in terms of value, risk and return, as well as correlation with other assets. It is to determine their possible place within various strategies and portfolios. Some analysis will be done seeking the best option for specific asset classes, some analysis will focus on the best overall portfolio for a given situation. Analysis is done using quantitative metrics and indicators, some of which can be considered fundamental analysis tools and some of which are technical analysis tools. Continue reading...
The Accumulation/Distribution Indicator (originally called the Cumulative Money Flow Line) tracks cash flow into or out of a security and correlates the cash flow changes to changes in the security price. By following the trading volume into or out of a security, it establishes the degree of correlation between this trading volume and the price of the security. Accumulation/distribution is designed to reveal divergences in price trends (specifically between stock price and trading volume). These divergences indicate the degree to which a security may be overbought or oversold at a given time. Continue reading...
The Absolute Breadth Index (ABI) is a market breadth indicator, calculated using the absolute value of the difference between the number of advancing stocks and declining stocks to indicate the size of market movement without considering price direction. Larger ABI numbers will indicate more volatility. When breadth is smaller, it means that the market isn’t experiencing significant movement, or movement in a definitive direction. When advances or declines pull away from the other, it indicates the presence of market-wide trends. Continue reading...
Market indicators are quantitative tools for the analysis of market information, which may hint or confirm that a trend or reversal is about to happen (leading indicator) or has begun (lagging indicator). Indicators are technical analysis algorithms which give investors signals that may be used as the guidelines for trading. Indicators might be called oscillators or have various other proper names, since some of them are quite well-known, but there are general conventions or instructions for how to use an indicator, how it can be tweaked to suit the scope of your analysis, and what is considered a trade signal. Continue reading...
Moving Average Convergence Divergence (MACD) is a frequently used momentum indicator composed of several moving average lines. A MACD line is plotted by using the exponential moving average (EMA) over 12-day periods and subtracting the EMA of 26-day periods. A “signal line” – the 9-day EMA – is then plotted on top of the MACD line. A histogram is also usually included to indicate the divergence between the signal line and the MACD. When the MACD and the signal line cross paths, these points of convergence are widely used as trading indicators that trends are starting or ending. Continue reading...
Market Disequilibrium occurs when market and external forces combine to unbalance a market, creating inefficiency in the market in the process. A disequilibrium produces what’s called a “deadweight loss,” “welfare loss,” “excess burden,” or “allocative inefficiency.” As described by efficient market theory, the price fluctuations we see in market behavior are the market trying to find its truly efficient price and quantity – the theoretical point of equilibrium. Investors attempt to locate it using moving averages and other means of technical analysis. Continue reading...
An uptrend is a continuous upward movement in a stock's price. An uptrend is an upward movement over a few increments of time (whatever time increment being used), where the successive numbers being compared continue to increase. The parameters being compared might be just peaks, just troughs, closing prices, or averages, but formally it is defined as increased in successive peaks and troughs both. Continue reading...
Price movement often occurs in a range-bound way, even when an uptrend or downtrend is in effect. Fibonacci channels estimate support and resistance numbers using Fibonacci numbers, which are found throughout the natural world, in order to define possible places where reversals will occur. Fibonacci numbers are related to the study of chaos theory, which seeks to find order in complex systems. Since the markets have so many variables, but no lack of data, they are an excellent place to search for Fibonacci patterns. Continue reading...
The easiest way to start trading is Tickeron's Daily Trade Signals with Odds of Success. Scroll down the Daily Trade Signal feed to review each tile separately. One tile is one signal. Signals are based on indicator alerts, price and volume actions, big market cap moves, insider trading information, patterns, trends, etc... This feed only shows trade signals with good odds of success. Signals are calculated overnight for all asset classes and setups. Continue reading...
A pivot point is a technical indicator used by traders to determine overall market trends over various windows. This indicator used to be solely the average of the high, low, and closing prices of the previous day, but modern trading utilizes different versions of this concept for day trading and short term analysis. In many cases, pivot points are now quick-reference tools used in intra-day trading that give the trader benchmarks and perspective as short-term price movements happen. How the trader calculates the pivot point depends on whether the point is going to be part of a chart with a scope of several minutes or the present day or present week. Continue reading...
On Tickeron’s homepage, you will see a news feed just like you would see on Facebook. However, even if you aren’t a subscriber to Tickeron yet, you can use and customize the newsfeed (to a degree). There are several more options for customizing the newsfeed and gaining greater access to information and insights for subscribers. Non-subscribers can filter the news based on asset classes/securities such as stocks, ETFs, mutual funds, cryptocurrencies, and Forex: Continue reading...
Moving averages are important components of many technical indicators. The Exponential Moving Average (EMA) uses the closing prices of all the previous trading days for a given interval to calculate an average price from that for the period, but is weighted to give the most recent days more influence over the final number. The weighted averages are plotted in a line that helps traders follow trends. Continue reading...
Bollinger Bands were developed by famous trader John Bollinger as a technical analysis tool to discern the likely trading range of a security. A Bollinger Band is typically two standard deviations from a moving average line, both above and below the average. Standard deviation is another word for the average volatility of a price over a length of time. It is typical for a trader looking up the historical price chart for a security to compare it to a moving average line. Continue reading...
The Random Walk Hypothesis states that in an efficient market, prices will correlate around the intrinsic value of securities, but there will always be a randomization and unpredictability to it. The Random Walk Hypothesis suggests that technical analysis and the efforts of chartists cannot beat the market over time, because the market will move randomly and unpredictably, and past results cannot predict future returns. Continue reading...