When just starting out, some beginning traders will want to use all of their available funds to trade rather than buying software and data feeds. In this article, we’ll look at how that can be done, using free end of day data and indicators.
In a previous article, I offered details on one way to quantify a bubble, at least for defining a market opinion. In this article, we will test the idea and assess the probability of successfully trading bubbles.
If trading can be reduced to a well defined set of rules, then market forecasting can also be defined by testable rules.
Experience is always the best teacher, but it’s also the most expensive. There are a couple of very important trading lessons to learn from the collapse of MF Global that we can learn at the expense of others.
Elliott Wave Theory can seem like a dream come true to traders. It offers traders a description of how markets should behave, with precise rules that help identify price targets in advance.
In this article, we will develop a strategy that can be used by part-time traders to capture the large moves being seen in the markets from day-to-day.
A reality of part-time trading is that you may not always have time to trade every day. Full-time traders will have a daily schedule and routine tasks will be a part of their day. This is a definite advantage for traders who make a living from the markets, and ultimately you need to find time to become a successful trader.
New traders often approach educational material with the attitude that if it’s free, it can’t be any good. They willingly pay thousands of dollars for courses and systems, and they are often disappointed.
Diversification is an effective risk reduction tool and should include trading different strategies. Almost all trading strategies consist of rules that use price as an input, and almost every trading indicator relies solely on price in its calculation.