Mechanics of HFT
CNBCDominic Chu
Mechanics of HFT
CNBC's Dominic Chu explains the mechanics behind a high-frequency trade.
Apr 4, 2014
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High-Frequency Trading (HFT) is a type of algorithmic trading that uses powerful computers and complex mathematical models to execute a large number of orders at extremely high speeds—often in fractions of a second. 🔍 Key Features of HFT: Speed: Trades happen in microseconds (millionths of a second) using advanced hardware and direct market access. Algorithms: Decisions to buy/sell are made automatically using mathematical models—no human intervention. Volume: Executes thousands or millions of
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High-Frequency Trading (HFT) is a type of algorithmic trading that uses powerful computers and complex mathematical models to execute a large number of orders at extremely high speeds—often in fractions of a second. 🔍 Key Features of HFT: Speed: Trades happen in microseconds (millionths of a second) using advanced hardware and direct market access. Algorithms: Decisions to buy/sell are made automatically using mathematical models—no human intervention. Volume: Executes thousands or millions of
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High-Frequency Trading (HFT) is a type of algorithmic trading that uses powerful computers and complex mathematical models to execute a large number of orders at extremely high speeds—often in fractions of a second. 🔍 Key Features of HFT: Speed: Trades happen in microseconds (millionths of a second) using advanced hardware and direct market access. Algorithms: Decisions to buy/sell are made automatically using mathematical models—no human intervention. Volume: Executes thousands or millions of
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FINANCIAL PRUDENCY on Instagram: "High-Frequency Trading — How It Works High-frequency trading (HFT) uses advanced technology to access market data. and react faster than the broader market, allowing firms to make decisions a fraction of a second earlier. HFT relies on three main components: location, connectivity, and algorithms. Location: placing servers close to exchange data centres to cut latency. Connectivity: ultra-fast networks that move data with minimal delay. Algorithms: automated str
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MacroGlide on Instagram: "High-frequency trading (HFT) has transformed financial markets in ways previously unimaginable — from speeds measured in milliseconds to a dominant share of trading volume and lasting structural impacts. In U.S. equities, HFT now accounts for approximately 50% of trading volume, up from less than 10% in the early 2000s. Studies show HFT has narrowed bid‐ask spreads and enhanced price discovery, but they also warn of increased fragility: algorithms withdrawing liquidity
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MacroGlide on Instagram: "High-frequency trading (HFT) makes markets cheaper and faster by adding liquidity, narrowing bid-ask spreads, and speeding up price discovery, with studies showing U.S. equity spreads dropped by more than 50% as HFT grew. But it also brings risks: algorithms can amplify volatility during stress events like the 2010 Flash Crash, and the speed race gives unfair advantages to firms with the best technology. Overall, HFT improves efficiency in normal times but raises concer
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