Channels provide a simple and reliable way for traders to define their entry and exit points within an equity. Although the basic channel-trading rules provide traders with a good idea of where the price is going within the channel, they leave little insight into where breakouts might occur. Identifying patterns known as Wolfe Waves and Gartleys, however, can help predict these breakouts in terms of both their timing and scope (their proportion to the established channel). This article will take an in-depth look at the channeling techniques centered on these patterns, and how they can be applied to help you profit
MetaQuotes Language 4 (MQL4) is a new built-in language for programming of trading strategies. This language allows to create your own Expert Advisors that make trading management automated and are perfectly suitable for implementing of one’s own trade strategies. Besides, one can use MQL4 for creation of one’s own Custom Indicators, Scripts, and Libraries.
Lesson 1 to Lesson 18 By coder’s guru
The Compleat Day Trader II picks up where the Compleat Day Trader left off. Bernstein provides new trading strategies and techniques soecifically designed for the new breed of intuitive” traders, who create their own system, customized for their own trading styles and areas of effectiveness. The Compleat Day Trader II includes the most up to date strategies and systems for seizing hold of day trading success, including: A separate chapter detailing each system and method; Indicator formulas and system codes; The psychology of day trading.
We examine block trades on the Paris Bourse to test several theoretical predictions regarding upstairs trading, and exploit cross-sectional variation in “crossing rules” on the Paris Bourse to provide evidence on their relevance. Paris provides an excellent setting to test the implications of upstairs intermediation models, because its electronic limit order market closely resembles the downstairs markets envisioned by theorists. We present direct evidence in support of Grossman’s (1992) prediction that upstairs brokers lower execution costs by tapping into pools of unexpressed liquidity, as actual execution costs upstairs are less than one third as large as would be anticipated if block trades were executed against displayed liquidity in the downstairs market. Consistent with prior analyses, the Paris data also supports the Seppi (1990) hypothesis…