Algorithmic trading, the redundant traderDavidson, Clive
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Algorithmic trading with new methods. New indicators, machine learning, and statistical analysis for financial trading and quantitative investing. We use Zorro and R for our algo trading strategies.
This method is based on the following requirement: a trader selects the lowest possible Stop Loss value when opening a position. That value can be determined using various methods, for example, it may be equal to 1.5% of the deposit. When the market reaches a profit equal to Stop Loss va...
Most algorithmic trading software offers standard built-in trade algorithms, such as those based on acrossoverof the 50-daymoving average (MA)with the 200-day MA. A trader may like to experiment by switching to the 20-day MA with the 100-day MA. ...
There exist four basic types of algorithmic trading within financial markets: Statisticalrefers to an algorithmic strategy that looks for profitable trading opportunities based on the statistical analysis of historicaltime seriesdata. Auto-hedgingis a strategy that generates rules to reducing a trader’s...
Technical Analysis of Stocks & Commodities magazine is the savvy trader's guide to profiting in any market. Every month, we provide serious traders with information on how to apply charting, numerical, and computer trading methods to trade stocks, bonds,
cTrader was recognised as one of the best Forex Trading Platforms in 2020* It has, since its inception, raised the standards for the online trading industry, and it appears that the platform will continue to set the pace for other trading software in the FX market. ...
They theorize that much of these dynamics can be explained by the presence of algorithmic traders strategically spreading their orders across time. Edelen and Kadlec (2012) provide a theoretical model to examine the agency conflicts arising from the trading arrangements between the portfolio manager and...
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