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DC Field | Value | Language |
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dc.contributor.author | SINGLA, AKET | - |
dc.date.accessioned | 2019-09-24T05:15:20Z | - |
dc.date.available | 2019-09-24T05:15:20Z | - |
dc.date.issued | 2018-06 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/16485 | - |
dc.description.abstract | WHAT IS ALGORITHMIC TRADING? Algorithmic trading is the use of programs and computers to generate and execute (large) orders in markets with electronic access. Orders come from institutional investors, funds and trading desks of big banks and brokers. These statistical, mathematical or technical models analyze every quote and trade in the stock market, identify liquidity opportunities, and turn the information into intelligent trading decisions. Algorithmic trading, or computer-directed trading, cuts down transaction costs, and allows investment managers to take control of their own trading processes. The main objective of algo trading is not necessarily to maximize profits but rather to control execution costs and market risk. ALGORITHMIC TRADING AND ITS COMPOSITION IN INDIAN MARKETS Around 50% plus of total orders at both NSE and BSE are algo trades on the client side. Prop side algo trades are 40% plus of total orders placed at both the exchanges. More than 80% of the algorithmic orders are generated from colocation at both the exchanges. In developed markets it stands at about 80%. | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | TD4062; | - |
dc.subject | ALGORITHM TRADING | en_US |
dc.subject | INDIAN MARKETS | en_US |
dc.title | IMPACT OF ALGORITHM TRADING ON INDIAN STOCK MARKETS | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | MBA |
Files in This Item:
File | Description | Size | Format | |
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final project report.pdf | 1.09 MB | Adobe PDF | View/Open |
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