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Ind vs Aus 2nd ODI Live Streaming – How to Watch Live India Vs Australia match on TV, Online and Apps

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What are Cookies and Other Tracking Technologies?

A cookie is a small text file that can be stored on and accessed from your device when you visit one of our sites, to the extent you agree.  The other tracking technologies work similarly to cookies and place small data files on your devices or monitor your website activity to enable us to collect information about how you use our sites. This allows our sites to recognize your device from those of other users on our sites. The information provided below about cookies also applies to these other tracking technologies.


How do our sites use Cookies and Other Tracking Technologies?

Zeenews.com use cookies and other technologies to store information in your web browser or on your mobile phone, tablet, computer, or other devices (collectively “devices”) that allow us to store and receive certain pieces of information whenever you use or interact with our zeenews.india.com applications and sites. Such cookies and other technologies helps us to identify you and your interests, to remember your preferences and to track use of zeenews.india.com We also use cookies and other tracking technologies to control access to certain content on our sites, protect the sites, and to process any requests that you make to us.
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Reliance Industries to re-auction gas in line with new government rules

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Reliance Industries Ltd and its partner bp plc have re-launched an auction for sale of natural gas from their eastern offshore KG-D6 block after incorporating the government’s new marketing rules to give CNG-selling city gas companies first priority over supplies.

Reliance and its partner BP Exploration (Alpha) Ltd (BPEAL) will sell 6 million standard cubic meters per day of gas in an e-auction planned for April 3, a tender notice said. The price is indexed to the global LNG marker, JKM, but will be subject to the government-notified ceiling price.

BP_PLC

BP_PLC

The partners had originally planned the auction in January, but days before that the Ministry of Petroleum and Natural Gas, on January 13, published new rules for the sale and resale of gas produced from discoveries in deep sea, ultra-deep water and high-pressure-high temperature areas.

This led to the auction being suspended and is now being re-launched after incorporating changes.

Gas produced from wells drilled below the seabed is used to produce electricity, make fertiliser or turned into CNG for powering automobiles or piped to household kitchens for cooking as well as in industries.

New government rules

The new government rules require bidders to state upfront if they were purchasing the gas through the auction for ‘own use as end-consumers (including for use of their group entities), or as a trader.

While end-consumers are allowed to resale any unconsumed gas, traders participating in the auction are allowed to resell subject to a maximum trading margin of Rs 200 per thousand cubic meters.

“In any situation, which may require proportionate distribution of the gas offered under the bidding process, the contractor (company selling the gas) shall offer gas to bidders belonging to the CNG (transport)/PNG (domestic) sector, fertiliser, LPG and power sector in that order,” the Ministry had said, adding any leftover gas shall be offered to other bidders.

Besides incorporating the changes in their tender, Reliance and bp have increased the duration of supply contract to five years instead of three years, offering the January auction.

Supplies are to start from April 16, the tender said.

Priority for city gas distributors

City gas distributors selling CNG for the transport sector and piped natural gas to households kitchens will get top priority in allocation of gas in case of a tie for any bids, followed by fertiliser, power plants and end-consumers/ traders in that order, it said.

In the January auction, the gas was intended for sale to end-consumers who were not permitted to resale any unconsumed gas. Also, there was no clarity on the participation of traders.

The two partners have now invited bids for the sale of 6 mmscmd (million metric standard cubic meter per day), or a third of the volumes being produced at KG-D6, starting April 16, 2023, according to the tender document.

Users such as city gas operators that convert gas into CNG for sale to automobiles and pipe it to household kitchens for cooking purposes, or power plants that use it to generate electricity, or fertiliser units that use it to make urea, have been asked to quote a premium they are willing to pay over the JKM price.

JKM is the Northeast Asian spot price index for LNG delivered ex-ship to Japan and Korea. The JKM price for May is around $13.5 per million British thermal unit.

Bidders have been asked to quote variable ‘V’ in the gas price formula ‘JKM + V’.

The starting bid for ‘V’ was initially set at $(minus) 0.30 per mmBtu, but later changed to $(minus) 0.42.

Each bidder was required to enter bids that were higher than or equal to the starting bid quote, the tender document said.

The maximum valid bid for ‘V’ was initially put at $5.01 per mmBtu, but later changed to $2.01, beyond which the bid shall not be accepted by the e-bidding portal.

The gas price will be lower from the government-set ceiling price for gas produced from deep-sea fields or the price arrived at the bidding. The ceiling price for six months ending March 31, 2023 is $12.46 per mmBtu and not likely to change much for the next six-month period.

In May last year, Reliance-bp had auctioned 5.5 mmscmd of incremental gas from the newer discoveries in the KG-D6 block, benchmarking it to the same JKM gas marker.

Three-fourths of that volume was picked up by Reliance and its affiliates. The price discovered in that e-auction came at a $0.06 discount to the JKM (Japan-Korea Marker) LNG price.

Prior to that, the duo had sold 7.5 mmscmd of gas at a discount of $0.18 per mmBtu to JKM.

The government sets a cap or ceiling rate at which natural gas from difficult fields like deep sea can be sold. This cap for the period from October 1, 2022 to March 31, 2023 is $12.46 per mmBtu.

Reliance has so far made 19 gas discoveries in the KG-D6 block. Of these, D-1 and D-3 — the largest among the lot — were brought into production in April 2009, and MA, the only oilfield in the block, was put into production in September 2008.

While the MA field stopped producing in September 2018, output from D-1 and D-3 ceased in February 2020.

Since then, Reliance-bp is investing $5 billion in bringing to production three deep water gas projects in block KG-D6 — R-Cluster, Satellites Cluster, and MJ — which together are expected to meet about 15 per cent of India’s gas demand by 2023.

Infineon: Buy Reiterated

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Infineon: Buy Reiterated

IND vs AUS Live Streaming: When and where to watch India vs Australia 2nd ODI

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Team India would like to repeat its Border Gavaskar Trophy victory in a one-day international series against Australia. Today, the Men in Blue will face off in the second of the opera’s three one-day games at the YS Raja Reddy Cricket Stadium in Andhra Pradesh. India defeated Australia in the opening ODI, winning by five wickets in an exciting match.

When will the 2nd ODI match of India vs Australia take place?

The 2nd ODI match between India and Australia will take place at 1:30 pm IST on Sunday, 19th March.

Where will the 2nd ODI of India vs Australia take place?

The 2nd ODI match between India and Australia will take place in Vishakapatnam at the YS Raja Reddy Cricket Stadium.

Ind vs Au 2nd ODI: Where to watch on television in India?

The Star Sports Network will be broadcasting India vs Australia’s 2nd ODI live on television.

India vs Australia 2nd ODI: Where to watch live streaming? 

The live streaming of India vs Australia 2nd ODI will be available on Hotstar.

IND vs AUS 2nd ODI Squads

India ODI  Squad: Rohit Sharma, Shubman Gill, Virat Kohli, Suryakumar Yadav, KL Rahul, Hardik Pandya, Ravindra Jadeja, Shardul Thakur, Kuldeep Yadav, Mohammed Siraj, Mohammed Shami, Ishan Kishan, Washington Sundar, Yuzvendra Chahal, Axar Patel, Umran Malik, Jaydev Unadkat

Australia  Squad: David Warner, Travis Head, Steven Smith, Marnus Labuschagne, Glenn Maxwell, Alex Carey, Cameron Green, Ashton Agar, Sean Abbott, Mitchell Starc, Adam Zampa, Mitchell Marsh, Marcus Stoinis, Josh Inglis, Nathan Ellis

India is currently leading the series 1-0. The hosts will be hoping to win the series with a victory in the second ODI with regular captain Rohit Sharma returning to the lineup. Because Rohit was out for the opening ODI, Hardik Pandya assumed the leadership and guided India to a five-wicket victory in Mumbai.

Watch: Satya Nadella, Ajay Banga, Ram Charan, and more: The notable alumni of Hyderabad Public School

OrthoPediatrics: Patience Is Required

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OrthoPediatrics: Patience Is Required

Amrit Pal Singh Had Links To Pakistan-Based Terrorist Organisations: Officials

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Two days after Khalistani supporter Amritpal Singh threatened the authorities to arrest him if they can, the hunt for self-styled Sikh preacher by Punjab police, armed with Intelligence inputs began on Saturday, with a massive manhunt for him that led to the police detaining his family members, including his father, many of his close associates, imposing Section 144 in many parts of the State and also suspending internet services in …

Turning rural women into clean energy entrepreneurs

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Some renewable energy innovations have powerful tales to tell that positively impact the lives of rural women folk. These may not grab the headlines like a multi-crore solar or EV project but they too deserve a place in the sun.

Take the case of the solar refrigerator designed by Mumbai-based enterprise, Devidayal, that has been a big hit among women who run small rural enterprises. Thanks to this economical refrigerator and freezer—with a digital display, environment friendly technology and no chlorofluorocarbon emissions—dairy, drinks and other foods no longer spoil in the outfits run by these microentrepreneurs. Besides, they can also store life-saving medicines and vaccines.

In the same league is Haryana-based Dharambir Food Processing which offers entrepreneurs a portable food processer that can be used for herbs, fruits, medicinal plants and even seeds. Designed by farmer and ex-rickshaw puller Dharambir, it has been gaining popularity with women who find it easy to operate, hassle-free and useful to start a business. With a crushing capacity of 200 kg per hour, the machine can be used with solar power when there is no electricity.

Powering livelihoods

It is drudgery free small businesses like the ones above that are being encouraged by the ₹21 crore ‘Powering Livelihoods’ programme run by the Council on Energy, Environment and Water and the Villgro Innovations Foundation. The idea is to help “mainstream clean energy-based solutions in India’s rural economy”. The programme, with a gender thrust, provides capital, technical, and sectoral growth support to social enterprises so that they can deploy and scale clean energy-based livelihood solutions.

Powering Livelihoods recently brought out a report, “Unlocking sustainable livelihood opportunities for rural women: A case study of mainstreaming women in clean energy-powered livelihoods,” that maps the journey and challenges of the programme. It also recommends the way forward to build a world where small, innovative ventures can provide a fillip to microenterprises. These in turn can boost rural incomes and mainstream women in Distributed Renewable Energy (DRE)-powered livelihoods.

Delhi-based Resham Sutra is offering another DRE-based solution—solar-powered integrated production centres to produce yarn and textiles in rural areas. It is handholding women to use its solar innovations for reeling, spinning, twisting and fast processing of silk yarn to make Tassar, Muga and Mulberry silk. A big boon for women micro entrepreneurs.

Ecuador Earthquake: Strong earthquake kills at least 13 in Ecuador, 1 in Peru

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zeenews.india.com understands that your privacy is important to you and we are committed for being transparent about the technologies we use.  This cookie policy explains how and why cookies and other similar technologies may be stored on and accessed from your device when you use or visit zeenews.india.com websites that posts a link to this Policy (collectively, “the sites”). This cookie policy should be read together with our Privacy Policy.

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Zeenews.com use cookies and other technologies to store information in your web browser or on your mobile phone, tablet, computer, or other devices (collectively “devices”) that allow us to store and receive certain pieces of information whenever you use or interact with our zeenews.india.com applications and sites. Such cookies and other technologies helps us to identify you and your interests, to remember your preferences and to track use of zeenews.india.com We also use cookies and other tracking technologies to control access to certain content on our sites, protect the sites, and to process any requests that you make to us.
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The Investment Innovator EA – Trading Systems – 19 March 2023

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Greetings, I am a trader who had struggled to make consistent profits in the stock market. However, my persistent efforts to discover innovative solutions eventually led me to a scientific article discussing the use of computer vision in trading. Intrigued by the possibilities, I conducted extensive research and experimentation, ultimately developing a strategy that utilized computer vision to analyze stock charts and make trades based on complex patterns beyond the capabilities of the human eye.

Using machine learning algorithms, I trained the technology to identify specific patterns that indicated the likelihood of a stock price rising or falling. With historical data as a reference, the algorithm learned and accurately predicted future trends, leading to increased profitability and boosted confidence in the strategy.

As my success became more evident, other traders noticed and approached me, requesting that I share my groundbreaking strategy. In response, I founded a company that utilized computer vision and machine learning to make trades, which quickly became a major player in the marke

I have created The Investment Innovator EA, a powerful trading tool that utilizes computer vision and machine learning to make trades. With its advanced technology, it has become a significant player in the forex market, offering real-time visualizations of its analysis directly on the trading chart.

My approach to trading is based on sophisticated computer analysis, continuously pushing the boundaries of what is possible in the world of finance. Today, The Investment Innovator EA is widely regarded as one of the most successful EAs in the forex market.

My unwavering determination and curiosity led to the discovery of a revolutionary strategy that has transformed the trading landscape. I hope that The Investment Innovator EA will serve as an inspiration to those who may be struggling in their trading endeavors, as there is always a new opportunity waiting to be discovered through persistence and an open-minded approach.

To provide traders with a better understanding of how the EA works, I have implemented a visualization of the neural network using computer vision technology. By displaying this information directly on the trading chart, users can see exactly how the algorithm is analyzing market data and making trading decisions.This approach offers a level of transparency and insight that is essential for traders to make informed decisions. Without a clear understanding of how the EA is functioning, traders may be hesitant to trust the algorithm and act on its recommendations. By leveraging computer vision to provide real-time visualizations of the neural network’s analysis, traders can have greater confidence in the algorithm’s performance and make more informed decisions. This approach not only enhances the user experience but also improves the overall effectiveness of the EA.

The Investment Innovator EA

A brief overview of the technical work of The Investment Innovator EA:

Neural Network

Pattern Recognition and Machine Learning in Simple Words.

One of the most common applications of machine learning is pattern recognition. 

Pattern recognition is the process of recognizing regularities in data by a machine that uses machine learning algorithms. In the heart of the process lies the classification of events based on statistical information, historical data, or the machine’s memory.A pattern is a regularity in the world or in abstract notions. If we talk about books or movies, a description of a genre would be a pattern. If a person keeps watching black comedies, Netflix wouldn’t recommend them heartbreaking melodramas. The most popular programming language for pattern recognition is Python. In order for a machine to look for patterns in the data, the data must be pre-processed and converted into a form that the computer can understand. The researcher can then use classification, regression, or clustering algorithms, depending on the available information about the problem, to obtain valuable results:

  • Classification. In classification, the algorithm assigns labels to data based on the predefined features. This is an example of supervised learning. 
  • Clustering. An algorithm splits data into a number of clusters based on the similarity of features. This is an example of unsupervised learning.
  • Regression. Regression algorithms try to find a relationship between variables and predict unknown dependent variables based on known data. It is based on supervised learning.

How does pattern recognition work?

There are three types of pattern recognition models:

recognition models

Statistical Pattern Recognition

This type of pattern recognition refers to statistical historical data when it learns from examples: it collects observations, processes them, and learns to generalize and apply these rules to new observations.

Syntactic Pattern Recognition

It is also called structural pattern recognition because it relies on simpler subpatterns called primitives. . he pattern is described in terms of connections between the primitives.

Neural Pattern Recognition

In neural pattern recognition, artificial neural networks are used. They can learn complex nonlinear input-output relations and adapt themselves to the data.

Pattern recognition process:

The process itself looks like this

  • First, you need to gather data.
  • Then, you preprocess it and clean it from the noise.
  • The algorithm examines the data and looks for relevant features or common elements.
  • Then, these elements are classified or clustered;
  • Each segment is analyzed for insights;
  • Finally, the extracted insights are implemented in practice.
  • I would also like to provide a brief overview of the data that I have implemented into the advisor after optimizing it, using visualization on the trading chart.

I would also like to provide a brief overview of the data that I have implemented into the advisor after optimizing it, using visualization on the trading chart.

Through extensive analysis and optimization, I have identified specific data points that are critical for the EA’s performance. By visualizing this data on the trading chart, users can see how these factors impact the EA’s decision-making process and gain a deeper understanding of its performance. Incorporating this data into the advisor and visualizing it on the trading chart is just one of the ways that I have worked to enhance the user experience and improve the effectiveness of the EA.

Data collection

Data collection

Data collection

Datawatch: Unchecked corporate pricing power is a factor in US inflation

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Profit margins of US companies have reached levels not seen since the aftermath of the second world war.

US after tax profit margins

There is a strong correlation between the rising share of corporate profits in gross domestic product and the sharp price rises in the US after the Covid pandemic, according to a paper published by the University of Massachusetts.

Having made windfall profits on the back of commodity price fluctuations and supply bottlenecks, large companies have been emboldened to raise prices further to increase profit margins.

They found that there was little evidence that the models used to explain the inflation of the 1970s — such as excess aggregate demand, money supply expansion or increased wage costs that prompted a spiral — applied to this recent rise. Covid-19 price rises are predominantly a sellers’ inflation, they say. Where cost increases are being experienced by all their competitors, companies have felt safe to pass them on in the expectation of an “implicit agreement” that rivals will do the same.

Federica Cocco and Keith Fray

Our other charts of the week . . . 

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The introduction of remote work as a result of the pandemic has helped boost birth rates, specifically among wealthier and more educated women.

“While the long-running decline of fertility rates across the developed world makes it difficult to be optimistic overall about the future trajectory of births, the rise of remote work is one factor that seems likely to help push in the other direction, at least in some subgroups of the population,” said the authors of the analysis carried out by the Economic Innovation Group, a US-based think-tank.

Increasing birth rates would give an important boost to economic growth, and counterbalance demographic changes such as an ageing population.

The study also found that unmarried remote workers were significantly more likely than those who do not work remotely to plan on getting married in the next year. This is possibly because remote workers have higher migration rates than other workers, meaning those interested in marriage may have been able to relocate closer to a potential spouse.

Federica Cocco

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Britons’ approval rating of the leadership of the EU, on the rise since 2013, surpassed 50 per cent in 2022 for the first time since the survey began. At 51 per cent, this is more than the 46 per cent who approve of the UK’s leadership.

The last time a majority of Britons approved of the country’s leadership was in 2006, when Tony Blair was prime minister.

Federica Cocco

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The majority of Britons support strikes by nurses and ambulance workers. The share has increased by 3 per cent since January, according to polling company Ipsos.

Teachers and railway workers are the next most widely supported, with sympathy also up since January, whereas support has declined for strikes in other sectors, including border and passport control staff, civil servants, university staff and driving examiners.

Talks on Thursday between ministers and health unions resulted in a promising pay offer. Substantially improved terms for nurses, ambulance staff and other NHS workers in England have raised hopes that other disputes could be resolved soon.

The RMT has agreed to ballot members on an improved offer from Network Rail and teaching unions began talks on pay, conditions and workload on Friday.

Serena Chan

Column chart of As % of total passenger cars showing SUVs hit record share of new car sales in the EU

The European energy crisis has not put customers off big cars.

In January, total sport utility vehicle sales grew 14 per cent year on year to 464,000 units — a record 51 per cent share of new car registrations in the EU, according to market researcher Jato Dynamics.

While petrol guzzling and diesel models remained the most popular choice, accounting for about three-quarters of new SUV sales, the figures show demand for plug-in hybrid and pure electric versions of the “Chelsea Tractor” are gaining ground.

Despite the launch of greener electric models SUV’s continue to be hugely popular. Plug-in hybrid SUVs, which offer a compromise between more polluting internal combustion engines and costly pure electric vehicles, have experienced particularly high interest.

Patrick Mathurin


Welcome to Datawatch — regular readers of the print edition of the Financial Times might recognise it from its weekday home on the front page.

Do you have thoughts on any of the charts featured this week — or any other data that has caught your eye in the past seven days? Let us know in the comments.

Keep up to date with the latest visual and data journalism from the Financial Times:

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