No matter where you are in your progress, extended weekends, especially at the end of a month and end of the quarter, are a great time to look back at your recent results.
Whether you’re on a hot streak or everything is going wrong in your life, you need to know when to get out to be a successful trader. Today on Limit Up! Podcast, we’re talking about what it means to go on tilt.
If you're new to trading, the learning curve can feel overwhelming. Striking that fine balance on your positions can be demanding, sometimes an insurance policy can save you a costly loss— that’s where a stop-loss order can save your investment.
As usual, the financial media is lambasting millennials, but this time, they’re mad that millennials are finally dipping their toes into the stock market. Mobile broker Robinhood is usually their tool of choice.
Merriam-Webster defines data as, “Factual information (such as measurements or statistics) used as a basis for reasoning, discussion or calculation.” Traders use data in all forms to construct the basis for their trading decisions. In the past, this involved earnings reports and sales statistics for equity traders and perhaps weather reports and supply/demand calculations for commodity traders.

The June edition of Modern Trader, our second annual hedge fund issue, takes a broad measure of the hedge fund space, including recent trends and key players.

The Cycle Projection Oscillator is indicating some potential near-term opportunities in several markets. Looking at a 240-minute chart of the E-mini S&P 500 shows potential weakness over the next couple of days as shown on the chart.

Total nonfarm payroll employment rose by 151,000 in January, and the unemployment rate was little changed at 4.9%, the U.S. Bureau of Labor Statistics reported today.

The distinction is obvious from a macro perspective because futures markets exist as a type of insurance, the opposite of gambling.
Tom Rollinger and Scott Hoffman explain why the Sortino ratio is a superior measure of risk that doesn’t punish excessive positive returns.