CRR_Call Tracker

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ValueProductView

ValueProductPastPerformance

Company NameReco DateReco PriceExit PriceExit Date% ReturnIn days
ITC Ltd. 28/12/2023464.20487.5002/01/2025 5.02% 1 yrs
Britannia Industries Ltd. 27/07/20234,875.805,028.2512/11/2024 3.13% 1 yrs
JSW Steel Ltd. 22/02/2024826.951,003.0026/09/2024 21.29% 217 days
Bajaj Auto Ltd. 22/08/20249,910.0011,930.0017/09/2024 20.38% 26 days
Dr. Reddy's Laboratories Ltd. 26/10/20235,429.306,536.0005/07/2024 20.38% 253 days
Shriram Finance Ltd. 25/04/20242,430.102,955.0028/06/2024 21.60% 64 days
Coal India Ltd. 25/01/2024389.50501.6022/05/2024 28.78% 118 days
Infosys Ltd. 27/10/20221,522.601,411.6019/04/2024 -7.29% 1 yrs
State Bank Of India 25/05/2023581.30782.0505/03/2024 34.53% 285 days
The Indian Hotels Company Ltd. 24/08/2023401.85517.9007/02/2024 28.88% 167 days

CRR_MVC_PastPerformance

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Know more about algorithmic trading systems!
DSIJ Intelligence
/ Categories: Knowledge, Fundamental

Know more about algorithmic trading systems!

This type of trading is also known as automated trading, black-box trading, or algo-trading.

Algorithmic trading is an order execution method that makes use of a computer program comprising a defined set of instructions, known as algorithms, to place a trade. These algorithms can be programmed by using variables such as time, price, volume, or a mathematical model.

This type of trading is also known as automated trading, black-box trading, or algo-trading. Algorithmic trading tries to capitalize on the speed and flexibility of automated pre-programmed trading instructions, giving it an edge over manual trading.

Some examples of algorithmic trading strategies are

  • Trend-following Strategies
  • Arbitrage Opportunities
  • Market making,
  • Inter-market spreading
  • Position Sizing
  • Stop Loss Modification

Most of the algorithmic trading strategies fall under the category of high-frequency trading (HFT), which are marked by high turnover and high order-to-trade ratios.

Advantages of using algorithmic trading are

  • Timely execution at best possible prices
  • Instant execution upon fulfillment of instructed conditions
  • No chance of manual error since process is automated
  • Reduced chance of losses otherwise caused due to behavioral biases on individuals

Algorithmic trading is widely used by investors and traders. It is also used by entities such as investment banks, pension funds, mutual funds, and hedge funds while making stock purchases in huge quantities so as to not influence stock prices with discrete, large-volume investments.

The pre-requisites for algorithmic trading are

  • A trading software
  • High speed network connectivity
  • Access to trading platform
  • Access to live market data

Moreover, the system needs to be tested using historical data to ensure that the algorithms are working properly. With these requirements in place, algorithm trading can be implemented.

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