Indianext
No Result
View All Result
Subscribe
  • News
    • Project Watch
    • Policy
  • AI Next
  • People
    • Interviews
    • Profiles
  • Companies
  • Make In India
    • Solutions
    • State News
  • About Us
    • Editors Corner
    • Mission
    • Contact Us
    • Work Culture
  • Events
  • Guest post
  • News
    • Project Watch
    • Policy
  • AI Next
  • People
    • Interviews
    • Profiles
  • Companies
  • Make In India
    • Solutions
    • State News
  • About Us
    • Editors Corner
    • Mission
    • Contact Us
    • Work Culture
  • Events
  • Guest post
No Result
View All Result
Latest News on AI, Healthcare & Energy updates in India
No Result
View All Result
Home AI Next

NSE Exploring ‘Unsupervised Machine Learning Model’ To Detect Anomalies In Algo Orders

June 24, 2022
ML

Eyeing a major technological leap, the National Stock Exchange (NSE) is exploring an “unsupervised machine learning model” to plug anomalies in algorithmic orders.

The machine learning algorithms or algo monitor trade results and detect patterns that determine if stock prices go up or down.

In its annual report for 2021-22, the exchange said that it has developed well-curated market surveillance mechanisms backed by robust technology architecture over the years. The bourse’s surveillance systems identify malpractices and ensure timely management of identified breaches.

In order to upgrade and strengthen its surveillance-linked capabilities, the exchange has rolled-out key initiatives in 2021-22 including deployment of alerts to detect market abuse practice in equity stock options OTM (over-the market) contracts, capture multi-leg reversal cases as well as market abuse practices where option contracts are traded at away prices without change in the underlying.

Moreover, “Exchange is exploring with a ‘Unsupervised Machine Learning model’ to detect anomalies in algo orders,” the annual report noted.

Algorithmic trading or ‘Algo’ in market parlance refers to orders generated at a super-fast speed by use of advanced mathematical models that involve automated execution of the trade, and it is mostly used by large institutional investors.

In addition, the exchange is aiming to modernise its trading platform to “build highly scalable, resilient and fault tolerant trading application components to process 1 million orders/sec”.

Apart from technological advancement measures, the exchange has paid Rs 25 lakh to Sebi “without admission of any lapse on the part of NSE” in the case pertaining to technical glitch that happened in February last year. This matter is pending before the capital markets regulator for further proceedings and discussions.

On February 24, 2021, NSE suffered a four-hour long halt in its trading system due to a technical glitch. The exchange’s trading system was halted due to certain issues in the links with telecom service providers which in turn impacted the Storage Area Network (SAN) system of the company, resulting in the primary SAN becoming inaccessible to the host servers.

This also resulted in the risk management system of NSE Clearing Limited (NCL) and other systems such as clearing and settlement, index and surveillance systems becoming unavailable.

“Sebi vide its letter dated July 2, 2021 directed NSE and NCL to pay financial disincentive of Rs 25 lakhs each. The said amount was paid by the NSE on July 12, 2021 and NCL on July 14, 2021,” the annual report noted.

Further, the exchange said it has followed Standard Operating Procedure (SOP) as communicated in Sebi’s correspondences and SOP communicated to all Market Infrastructure Institutions (MIIs) — stock exchanges, clearing corporations and depositories — for reporting of technical glitches by MIIs and imposition of financial disincentives.

Apart from this, few other matters pertaining to the exchange are also pending before the Securities and Exchange Board of India (Sebi).

In April 2019, the regulator had returned the consent application filed by NSE and had passed orders in respect of the three show cause notices pertaining to the bourse colocation facility, dark fiber and governance and conflict of interest matter.

Under the first order, Sebi had passed a direction on NSE to disgorge Rs 625 crore, along with interest, which has since been remitted by the exchange to an interest bearing account, and certain restrictive directions.

In the second order, it had asked to deposit Rs 62.58 crore, along with interest, which has been remitted by NSE to an interest bearing and in the third order it had passed certain non-monetary and remedial directions on NSE.

NSE appealed in all the three orders before the Securities Appellate Tribunal (SAT). These appeals are pending for a final hearing, except for the colocation matter, which has been heard by SAT and is reserved for orders. Additionally, NSE also received adjudication notices covering the three orders.

“Sebi, in the colocation adjudication matter, has passed direction levying a penalty of Rs 1 crore, the said order has been challenged by NSE before SAT and the SAT has stayed the said direction. The second and third matters are pending before Sebi,” the report noted. 

Source: zeebiz.com

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Editors Corner

How can Artificial Intelligence tools be a blessing for recruiters?

Will Artificial Intelligence ever match human intelligence?

Artificial Intelligence: Features of peer-to-peer networking

What not to share or ask on Chatgpt?

How can Machine Learning help in detecting and eliminating poverty?

How can Artificial Intelligence help in treating Autism?

Speech Recognition and its Wonders in your corporate life

Most groundbreaking Artificial Intelligence-based gadgets to vouch for in 2023

Recommended News

AI Next

Google: AI From All Perspectives

Alphabet subsidiary Google may have been slower than OpenAI to make its AI capabilities publicly available in the past, but...

by India Next
May 31, 2024
AI Next

US And UK Doctors Think Pfizer Is Setting The Standard For AI And Machine Learning In Drug Discovery

New research from Bryter, which involved over 200 doctors from the US and the UK, including neurologists, hematologists, and oncologists,...

by India Next
May 31, 2024
Solutions

An Agreement Is Signed By MEA, MeitY, And CSC To Offer E-Migration Services Via Shared Service Centers

Three government agencies joined forces to form a synergy in order to deliver eMigrate services through Common Services Centers (CSCs)...

by India Next
May 31, 2024
AI Next

PR Handbook For AI Startups: How To Avoid Traps And Succeed In A Crowded Field

The advent of artificial intelligence has significantly changed the landscape of entrepreneurship. The figures say it all. Global AI startups...

by India Next
May 31, 2024

Related Posts

Google
AI Next

Google: AI From All Perspectives

May 31, 2024
Pfizer
AI Next

US And UK Doctors Think Pfizer Is Setting The Standard For AI And Machine Learning In Drug Discovery

May 31, 2024
Artificial-Intelligence
AI Next

PR Handbook For AI Startups: How To Avoid Traps And Succeed In A Crowded Field

May 31, 2024
openai
AI Next

OpenAI Creates An AI Safety Committee Following Significant Departures

May 31, 2024
Load More
Next Post
drone

Indian Drone Start-Up Garuda Aerospace To Set Up Plant In Malaysia

IndiaNext Logo
IndiaNext Brings you latest news on artificial intelligence, Healthcare & Energy sector from all top sources in India and across the world.

Recent Posts

Google: AI From All Perspectives

US And UK Doctors Think Pfizer Is Setting The Standard For AI And Machine Learning In Drug Discovery

An Agreement Is Signed By MEA, MeitY, And CSC To Offer E-Migration Services Via Shared Service Centers

PR Handbook For AI Startups: How To Avoid Traps And Succeed In A Crowded Field

OpenAI Creates An AI Safety Committee Following Significant Departures

Tags

  • AI
  • EV
  • Mental WellBeing
  • Clean Energy
  • TeleMedicine
  • Healthcare
  • Electric Vehicles
  • Artificial Intelligence
  • Chatbots
  • Data Science
  • Electric Vehicles
  • Energy Storage
  • Machine Learning
  • Renewable Energy
  • Green Energy
  • Solar Energy
  • Solar Power

Follow us

  • Facebook
  • Linkedin
  • Twitter
© India Next. All Rights Reserved.     |     Privacy Policy      |      Web Design & Digital Marketing by Heeren Tanna
No Result
View All Result
  • About Us
  • Activate
  • Activity
  • Advisory Council
  • Archive
  • Career Page
  • Companies
  • Contact Us
  • cryptodemo
  • Energy next
  • Energy Next Archive
  • Home
  • Interviews
  • Make in India
  • Market
  • Members
  • Mission
  • News
  • News Update
  • People
  • Policy
  • Privacy Policy
  • Register
  • Reports
  • Subscription Page
  • Technology
  • Top 10
  • Videos
  • White Papers
  • Work Culture
  • Write For Us

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In

Add New Playlist

IndiaNext Logo

Join Our Newsletter

Get daily access to news updates

no spam, we hate it more than you!