Active trading is the pursuit of returns in excess of market benchmarks. Investors are advised to have a diverse portfolio, to hedge against the risk of seeing future financial plans devastated due to significant losses in one holding. When attempting to diversify, investors will hear from the increasingly popular camp which believes that the best strategy is to use only passive index funds, which follow indexes using computer algorithms and have low expense ratios. Continue reading...
Tickeron’s third-generation AI trading bots are redefining retail investing with real brokerage integration, advanced hedging strategies, and annualized returns up to 36%. Explore how these intelligent agents use real-time data and machine learning to outperform traditional methods. Continue reading...
Active management is the practice of attempting to outperform the market with selection and timing. Active management is a thoughtful and time-consuming approach to investing and is the opposite of Passive management. Active managers seek to outperform the benchmarks for their portfolio by researching and selecting stocks and other assets based on strategies and analysis methods thought to be superior. 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...
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...
A momentum indicator allows for a quick comparison of a security’s current price relative to its past prices using a flexible time period, allowing traders to decide the parameters. The formula to calculate momentum is M = V – Vx (where V is the current price and Vx is the closing price from x number of days ago). A current price in excess of past price is a positive momentum indicator; a lower current price represents negative momentum. Continue reading...
On-Balance Volume (OBV) is a popular leading indicator introduced in the 1960s by Joe Granville. OBV is a line built using differences between daily trading volume – in Granville’s estimation, the major driver of market behavior – adding the difference on days that the market or stock moves up and subtracting the difference on days when the market or stock moves down. It looks for instances of rising volume that should correlate with price movement, but price movement has not occurred; additionally, OBV can be used to confirm lag. Continue reading...
Investors and traders are in constant search of tools they can use to gain any possible advantages from shifting markets. Technical indicators are especially vital parts of any trader’s kit, and few indicators are as consistent (and dependable) as moving averages. A Simple Moving Average (SMA) is a technical indicator that can help traders determine whether a bull or bear trend will continue or reverse course. It typically adds up closing prices for a given time period, then divides that figure by the number of time periods used for the average. Continue reading...
The Advance/Decline Ratio (AD Ratio) is a market breadth indicator, calculated by placing the number of advancing stocks over the number of declining stocks for a day or time period in order to view the direction of the market. It is one way of viewing the daily breadth, or difference in the number of advancing issues and declining issues. The Advance/Decline Ratio uses the same numbers as the Advance/Decline Line but presents them as a ratio instead. The AD Ratio is sometimes more useful than an AD Line, including in instances where comparing AD for different indexes which have different metrics; the ratio is the standardization with which comparisons can be made. Continue reading...
Active management is when an investor or money manager attempts to outperform an index or benchmark, using tactical strategies. Many economists and financial professionals believe that the markets are efficient. This means that all available financial information has already been built into the prices of securities, and that you cannot outperform the market by making specific selections of stocks, timing the market, reallocating your assets regularly, following the advice of market pundits, or finding the best portfolio managers. Continue reading...
Most index funds are known for using a completely passive strategy to track an index, but some take a more active approach. Some mutual funds track an index by passively using algorithms to buy the shares necessary to build a portfolio which closely replicates an index. Such a fund will have low turnover, will only rebalance slightly based on the market cap or other criteria set forth in the prospectus, and will basically ride out all of the ups and downs of the index in a blind faith for the efficient market hypothesis. Continue reading...
The Relative Strength Index (RSI) was developed by J. Welles Wilder Jr. to measure asset momentum using price changes and the speed of those changes. Like stochastics, the RSI is an oscillator that reads between 0 and 100; in this case, the RSI calculation determines the ratio of upward and downward movement using 14 periods of data, then smooths it out so only strong trends approach 0 or 100. Traders traditionally interpret RSI values of 70 or greater as an indicator of an overbought asset, while values 30 or below indicate an asset has been oversold; higher or lower values (like 80 and 20) can be used to minimize the number of bought or sold readings. Continue reading...
Explore how Tickeron's AI Trading Agents are revolutionizing investing with annualized returns as high as +104%. Learn how paired strategies like "Double Agents" capitalize on market swings using cutting-edge Financial Learning Models. Continue reading...
Account activity is any credit or debit activity in a checking or savings account, or investments, withdrawals, dividends or fees in an investment account. Account activity is the transactional history that will appear in ledger statements from a checking, savings, money market, investment, or other kind of financial account. This usually refers to transactions that were originated by the account owner, such as buying and selling securities or withdrawing and depositing in bank accounts, but could also include activity such as dividends, interest, fees, and other sorts of automated activity generated by the custodial institution. Continue reading...
Tickeron introduces a powerful AI-driven Double Agent Trading Bot that pairs bullish trades on TSM with bearish positions in SOXS. Designed for both new and experienced traders, it blends real-time insights, automated execution, and swing trading precision for optimized performance. Continue reading...
The Security Market Line (SML) is a visualization of the Capital Asset Pricing Model (CAPM) and shows the theoretical relationship between risk and return between securities and the entire market. The SML is plotted on a graph bound by an x-axis, which represents Beta (volatility above or below the market average), and a y-axis, which represents the rate of return. Beta is a volatility indicator that measures how many changes in price, and by how much, a security experiences over an amount of time. It describes whether the risk associated with a particular security is above or below the average of the market (or a more specific index), where 1 is a correlation with the market, and numbers above or below describe increased or decreased volatility, respectively. Continue reading...
Tickeron’s newest AI trading bots set a new benchmark with up to 362% annualized returns. Using 5- and 15-minute strategies powered by enhanced Financial Learning Models, these ultra-responsive agents bring institutional-grade precision to everyday traders. Continue reading...
Bull markets are defined as periods of sustained investor confidence and market growth, as prices trend higher and indexes rise over time. These stretches are typically tied to economic growth and strength. When investor sentiment is “bullish,” investors are generally willing to take more risk. These extended periods of growth typically last for months but can last for years. There are more technical definitions of a bull market, depending on which index, commodity, and other asset is being considered. As a general rule, however, bull markets tend to see stocks rise by 20% in response to a 20% decline, before eventually declining by 20% again to signal the end of the bull run. The longest bull run in S&P 500 history took place from March 2009 to March 2020, experiencing well over 300% growth over that time. Continue reading...
DeFi Development Corp. (DFDV) skyrocketed over 24,000% in 2025, becoming a breakout DeFi stock. Discover what fueled its rise, why AI tools are key to trading it, and how investors are managing risks with ETFs and machine-learning bots. Continue reading...
A support line represents an estimation of where a price is likely to stop moving downwards, based on recent data and analysis methods. It is arrived at with different formulas for different indicator methods, but it is generally a line derived from moving averages and standard deviation which represents a lower level at which traders would expect a price to rebound back upwards. Several methods of technical and fundamental analysis plot a support line or two as part of a graphical representation of trends. Theoretically, a price will only deviate so far from its moving average before bouncing back toward the middle. Continue reading...