Trade School: high frequency trading explanations and high frequency t...

  



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Indicators:
EMA 3 (blue)
EMA 20 (yellow)
EMA 50 (orange)
EMA 100 (red)
EMA 200 (purple)

Bollinger Band Period 20 Deviation 2 (green)
Bollinger Band Period 20 Deviation 1 (white)

Algorithmic trading (automated trading, black-box trading or simply algo-trading) is the process of using computers programed to follow a defined set of instructions (an algorithm) for placing a trade in order to generate profits at a speed and frequency that is impossible for a human trader. Algorithmic trading (automated trading, black-box trading or simply algo-trading) is the process of using computers programed to follow a defined set of instructions (an algorithm) for placing a trade in order to generate profits at a speed and frequency that is impossible for a human trader.

High-frequency trading is legal because it isn't obviously illegal. Now, this sounds trivial, but it's an important point: anything is allowed unless it's expressly forbidden. There are currently no rules expressly against HFT. Crucially, HFT firms employ the same strategies as other trading firms but faster. As of 2014, more than 75 percent of the stock shares traded on United States exchanges (including the New York Stock Exchange and NASDAQ) originate from automated trading system orders.

High-frequency trading (HFT) is a program trading platform that uses powerful computers to transact a large number of orders at very fast speeds. It uses complex algorithms to analyze multiple markets and execute orders based on market conditions. Statistical arbitrage, also referred to as stat arb, is a computationally intensive approach to algorithmically trading financial market assets such as equities and commodities. It involves the simultaneous buying and selling of security portfolios according to predefined or adaptive statistical models.