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In finance, MIDAS (an acronym for Market Interpretation/Data Analysis System) is an approach to technical analysis initiated in 1995 by the physicist and technical analyst Paul Levine, PhD, [1] and subsequently developed by Andrew Coles, PhD, and David Hawkins in a series of articles [2] and the book MIDAS Technical Analysis: A VWAP Approach to Trading and Investing in Today's Markets. [3]
EasyLanguage is a proprietary programming language that was developed by TradeStation and built into its electronic trading platform. [2] It is used to create custom indicators for financial charts and also to create algorithmic trading strategies for the markets.
Typically, the indicator is computed for one day, but it can be measured between any two points in time. VWAP is often used as a trading benchmark by investors who aim to be as passive as possible in their execution. Many pension funds, and some mutual funds, fall into this category.
Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. [1] This type of trading attempts to leverage the speed and computational resources of computers relative to human traders.
The Smart money index (SMI) and the Smart Money Flow Index (SMFI) are both technical analysis indicators demonstrating investors' sentiment. While the SMI was invented and popularized by money manager Don Hays, the SMFI is based on Hays' SMI but uses a slightly different and proprietary formula to measure the investment behavior of institutional investors.
The Elliott wave principle, or Elliott wave theory, is a form of technical analysis that helps financial traders analyze market cycles and forecast market trends by identifying extremes in investor psychology and price levels, such as highs and lows, by looking for patterns in prices.
A TWAP strategy is often used to minimize a large order's impact on the market and result in price improvement. [2] High-volume traders use TWAP to execute their orders over a specific time, so they trade to keep the price close to that which reflects the true market price.
Algorithmic transparency is the principle that the factors that influence the decisions made by algorithms should be visible, or transparent, to the people who use, regulate, and are affected by systems that employ those algorithms.
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