A tutorial to basics of stock markets, basically for newbie's. Explains what is stocks, how trading happens, kinds of trading and some basic terminologies.
A tutorial to basics of stock markets, basically for newbie's. Explains what is stocks, how trading happens, kinds of trading and some basic terminologies.
A brief PPT based on the different aspect of the Indian Stock Market.
If you are a beginner in learning financial markets and their working this PPT can provide you detailed information
This Presentation is about the Financial Market in India.
Aim is to provide basic information regarding Stock market, Bombay Stock Exchange(BSE) and National Stock Exchange of India (NSEI).
Introduction, Shares and Share Capital, Birth of Stock Market, Incorporation of a Company, Stock Market?, Functions of Stock Exchange, Stock Exchanges In India, Bombay Stock Exchange, National Stock Exchange, Features of National Stock Exchange of India (NSEI), Purpose of National Stock Exchange of India (NSEI), Role of National Stock Exchange of India (NSEI), Markets of NSE, Trading in Stock Exchange, DEMAT Account, Terminologies of Stock Market, Market Conditions, Calculation of SENSEX, Calculation of NIFTY, Benefits of investing in shares, Causes of Price Fluctuations, HAPPY INVESTMENT WITH LOTS OF PROFITS.
This is a presentation on the stock markets in India. Various parameters considered while trading, scams etc. It was delivered as a seminar presentation in college
Engineering the Future of Our Choice with General AI - JoEllen Lukavec Koeste...PAPIs.io
What is the future we want to create, and what can we do – starting today – to actively shape that future with general AI? This talk outlines a vision for the future of humankind once AI reaches human or superhuman levels, and leads the audience through the steps one research group is taking to get there. From the economics of smart robots and job replacement, to bionic humans exploring the universe through space travel, the talk offers a window into the work of 30 researchers focused on AI development and safety, and explains what attendees can do themselves to help make that future happen.
JoEllen is the AI Safety Ambassador and Head of PR for GoodAI, a Prague-based general AI research and development company. A high school teacher by trade, she has a bachelor’s degrees in English and Philosophy from Seattle University, a master’s degree in Transatlantic Studies from Charles University in Prague, and is the recipient of Fulbright grant. JoEllen is particularly interested in how AI will affect international government and political relations.
A brief PPT based on the different aspect of the Indian Stock Market.
If you are a beginner in learning financial markets and their working this PPT can provide you detailed information
This Presentation is about the Financial Market in India.
Aim is to provide basic information regarding Stock market, Bombay Stock Exchange(BSE) and National Stock Exchange of India (NSEI).
Introduction, Shares and Share Capital, Birth of Stock Market, Incorporation of a Company, Stock Market?, Functions of Stock Exchange, Stock Exchanges In India, Bombay Stock Exchange, National Stock Exchange, Features of National Stock Exchange of India (NSEI), Purpose of National Stock Exchange of India (NSEI), Role of National Stock Exchange of India (NSEI), Markets of NSE, Trading in Stock Exchange, DEMAT Account, Terminologies of Stock Market, Market Conditions, Calculation of SENSEX, Calculation of NIFTY, Benefits of investing in shares, Causes of Price Fluctuations, HAPPY INVESTMENT WITH LOTS OF PROFITS.
This is a presentation on the stock markets in India. Various parameters considered while trading, scams etc. It was delivered as a seminar presentation in college
Engineering the Future of Our Choice with General AI - JoEllen Lukavec Koeste...PAPIs.io
What is the future we want to create, and what can we do – starting today – to actively shape that future with general AI? This talk outlines a vision for the future of humankind once AI reaches human or superhuman levels, and leads the audience through the steps one research group is taking to get there. From the economics of smart robots and job replacement, to bionic humans exploring the universe through space travel, the talk offers a window into the work of 30 researchers focused on AI development and safety, and explains what attendees can do themselves to help make that future happen.
JoEllen is the AI Safety Ambassador and Head of PR for GoodAI, a Prague-based general AI research and development company. A high school teacher by trade, she has a bachelor’s degrees in English and Philosophy from Seattle University, a master’s degree in Transatlantic Studies from Charles University in Prague, and is the recipient of Fulbright grant. JoEllen is particularly interested in how AI will affect international government and political relations.
Microdecision making in financial services - Greg Lamp @ PAPIs ConnectPAPIs.io
Fintech startups are taking business away from traditional institutions like banks, exchanges, and brokerages. One of the reasons that these startups are able to compete with $30B+ behemoths like Credit Suisse and Goldman Sachs is their advanced decision making capabilities. By leveraging new data sources and better predictive analytics, companies like Ferratum Bank can make more accurate decisions in a fraction of the time.
This talk will cover:
Types of decisions you can automate
Challenges in building predictive, financial apps
First-hand, real-world examples
Greg Lamp is the co-Founder and CTO of Yhat. In this role, Greg leads development of Yhat's core products and infrastructure and is the principal architect of the company's cloud and on-premise enterprise software applications. Greg was previously a product manager at OnDeck, a fintech startup in New York and before that an analyst at comScore. Greg is a graduate of the University of Virginia.
[Keynote] Predictive APIs: What about Banking? - Natalino Busa @ PAPIs ConnectPAPIs.io
The best services have one thing in common: a superb customer experience. Banking services are no exception to this rule, and indeed the quest for an effortless, well informed, and personalized customer experience is one of the main goals of today's innovation in digital banking services. According to what Maslow has described in his "pyramid of needs", customers are seeking a more intimate and meaningful experience where banking services can actively assist the customer in performing and managing their financial life. Predictive APIs have a fundamental role in all this, as they enable a new set of customer journeys such as automatic categorization of transactions, detecting and alerting recurrent payments, pre-approving credit requests or provide better tools to fight fraud without limiting legitimate customer transactions. In this talk, I will focus on how to provide better banking services by using predictive APIs. I will describe the path on how to get there and the challenges of implementing predictive APIs in a strictly audited and regulated domain such as banking. Finally, I will briefly introduce a number of data science techniques to implement those customer journeys and describe how big/fast data engineering can be used to realize predictive data pipelines.
Natalino is currently Enterprise Data Architect at ING in the Netherlands, where leads the strategy, definition, design and implementation of big/fast data solutions for data-driven applications, for personalized marketing, predictive analytics, and fraud/security management. All-round Software Architect, Data Technologist, Innovator, with 15+ years experience in research, development and management of distributed architectures and scalable services and applications.
How to Build a Successful Data Team - Florian Douetteau @ PAPIs ConnectPAPIs.io
As you walk into your office on Monday morning, before you've even had a chance to grab a cup of coffee, your CEO asks to see you. He's worried: both customer churn and fraudulent transactions have increased over the past 6 months. As Data Manager, you have 6 months to solve that.
As Data Manager, you know the challenges ahead:
Multitudes of technology choices to make
Building a team and solving the skill-set disconnect
Data can be deceiving...
Figuring out what the successful data product must be
The goal of this talk is to provide some perspective to these topics
Florian works in the “data” field since 01’, back when it was not yet big. He worked in successful startups in search engine, advertising and gaming industries, holding various data or CTO’s role. He started Dataiku in 2013, his first venture as a CEO, with the goal of alleviating the daily pains from the data enthusiasts and let them express their creativity.
Distributed deep learning with spark on AWS - Vincent Van Steenbergen @ PAPIs...PAPIs.io
Training deep networks is a time-consuming process, with networks for object recognition often requiring multiple days to train. For this reason, leveraging the resources of a cluster to speed up training is an important area of work. In this talk we'll show how to use an AWS Spark cluster to train a model quickly from a laptop at a very little cost (around 10€).
Vincent Van Steenbergen is a freelance (big) data engineer who's working on a range of international projects, implementing systems able to handle terabytes of data, usually involving Spark, Scala, Kafka, Hadoop and Cassandra. His main interest right now is applying these techniques to solve machine learning problems. Vincent was previously a technical architect at Property. Works, a real estate startup in London and before that an R&D engineer at IDAaaS.
My Graphic Design Class Projects, a few were rough drafts, while others have academic excellence. Remember, that this is from my viewpoints and I hope each of you can see that.
Real-world applications of AI - Daniel Hulme @ PAPIs ConnectPAPIs.io
This talk will offer answers to the following questions: What is data-driven decision making? What is AI? What is Business Intelligence? Why are these concepts important? What are the biggest challenges and opportunities?
Daniel is the CEO of Satalia that provides AI inspired solutions to solve industries hardest problems. He’s the co-founder of the ASI that transitions scientists into data scientists. Daniel has a MSci and EngD in AI from UCL, and is Director of UCL’s Business Analytics MSc; applying AI to solve business/social problems. Daniel has many Advisory and Executive positions, holds an international Kauffman Global Entrepreneur Scholarship and actively promotes innovation across the globe.
Revolutionizing Offline Retail Pricing & Promotions with ML - Daniel Guhl @ P...PAPIs.io
Everybody uses price promotions in retail. However, individual pricing is seldom used, particularly in offline retail. Marketing literature has been advocating the use of individual price discrimination for decades. Furthermore, product recommendations, ever-present in e-commerce, are also not often found in offline retail. We show the machine learning driven system behind a new promotion channel that enables retailers and manufacturers alike to target individual customers in offline retail. Lessons learned, technologies used, and machine learning approaches driving our system will be shown.
Daniel Guhl has a background in economics & marketing, and got interested in data modeling during his Ph.D.. Currently, he is working as a data scientist at a Berlin based Start-up and is pursuing a postdoc at Humboldt University. He enjoys learning everyday and focuses on solving real world problems.
The emergent opportunity of Big Data for Social Good - Nuria Oliver @ PAPIs C...PAPIs.io
We live in a world of data, of big data. A big portion of this data has been generated by humans, and particularly through their mobile phones. In fact, there are almost as many mobile phones in the world as humans. The mobile phone is the piece of technology with the highest levels of adoption in human history. We carry them with us all through the day (and night, in many cases), leaving digital traces of our physical interactions. Mobile phones have become sensors of human activity in the large scale and also the most personal devices.
In my talk, I will present some of the work that we are doing at Telefonica Research in the area of human behavior understanding from data captured with mobile phones, and particularly our work in the area of Big Data for Social Good. I will highlight opportunities but also challenges that we would need to address in order to truly leverage this opportunity.
Nuria Oliver is a computer scientist and Scientific Director at Telefónica. She holds a Ph.D. from the Media Lab at MIT. She is one of the most cited female computer scientist in Spain, with her research having been cited by more than 8900 publications. She is well known for her work in computational models of human behavior, human computer-interaction, intelligent user interfaces, mobile computing and big data for social good.
Simple machine learning for the masses - Konstantin DavydovPAPIs.io
Using Google's Cloud Machine Learning Services, users can set up an entire Machine Learning pipeline quickly and with limited or no Machine Learning expertise. It is also possible to build applications on top of the Prediction API that allow for non-technical users to leverage the power of Machine Learning to help solve real world problems.
By using black-box Machine Learning via Google’s Machine Learning Services, it is possible to build an end-to-end Machine Learning pipeline with little to no ML expertise. The service automatically handles complex tasks such as data preprocessing, feature selection, classifier selection, parameter tuning, model evaluation, model hosting, and model updating.
As an example of the type of apps that can be built on top of the Prediction API, SmartAutofill spreadsheets add-on allows for easy, one-click application of Machine Learning directly from a Google spreadsheet.
[Tutorial] building machine learning models for predictive maintenance applic...PAPIs.io
This talk introduces the landscape and challenges of predictive maintenance applications in the industry, illustrates how to formulate (data labeling and feature engineering) the problem with three machine learning models (regression, binary classification, multi-class classification) using a publicly available aircraft engine run-to-failure data set, and showcases how the models can be conveniently trained and compared with different algorithms in Azure ML.
STOCK EXCHANGE MARKET
Is the market which deals with the purchase and sale of already issued security such as share, bonds, etc.
BROKERS
Are the people who buy and sell share on behalf of others. Anybody wishing to buy a share must approach a broker, who will brief him on various matter and offer free advice on different type of share on behalf of the other. He is paid commission for the work of buying and selling share on behalf of others.
JOBBERS
Can be linked to wholesalers. They buy and sell share on their own account i.e They trade in share in much the same manner as a wholesaler deals in merchandise. A broker must buy and sell share through a jobber. A broker is in between the jobber and the public. He is also paid commission.
TYPES OF JOBBERS
BULLS- These are traders who buy share when they are cheap in hope that the prices will soon rise and therefore sell them at the profit.
BEARS-These are traders who sell share when the price are high in hope that they will soon drop so that they may buy them back too much lower price.STAGS- These are traders deal in new issue that is when there is a rise in addition capital. Stags buy these shares in a hope that they will soon appreciate and be able to sell them at a profit.SPECULATION
The securities regulation act of 1956 defined stock exchange as an association , organization , or a individual which is established for the purpose of assisting , regulating , and controlling business in buying ,selling and dealing in securities.
Stock trading tips on hot stocks to buy now, stock market strategy, picking hot stocks, picking penny stocks, and how to buy cheap stocks. From “How to Find a Home Run Stock” and “How to Pick Hot Reverse Merger Penny Stocks” and also “How the Shorts Raid Your Stock, Destroy Your Company and What to Do About It” all by John Lux.
Introduction to Indian Financial System ()Avanish Goel
The financial system of a country is an important tool for economic development of the country, as it helps in creation of wealth by linking savings with investments.
It facilitates the flow of funds form the households (savers) to business firms (investors) to aid in wealth creation and development of both the parties
Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...Quotidiano Piemontese
Turin Startup Ecosystem 2024
Una ricerca de il Club degli Investitori, in collaborazione con ToTeM Torino Tech Map e con il supporto della ESCP Business School e di Growth Capital
Empowering the Unbanked: The Vital Role of NBFCs in Promoting Financial Inclu...Vighnesh Shashtri
In India, financial inclusion remains a critical challenge, with a significant portion of the population still unbanked. Non-Banking Financial Companies (NBFCs) have emerged as key players in bridging this gap by providing financial services to those often overlooked by traditional banking institutions. This article delves into how NBFCs are fostering financial inclusion and empowering the unbanked.
Poonawalla Fincorp and IndusInd Bank Introduce New Co-Branded Credit Cardnickysharmasucks
The unveiling of the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card marks a notable milestone in the Indian financial landscape, showcasing a successful partnership between two leading institutions, Poonawalla Fincorp and IndusInd Bank. This co-branded credit card not only offers users a plethora of benefits but also reflects a commitment to innovation and adaptation. With a focus on providing value-driven and customer-centric solutions, this launch represents more than just a new product—it signifies a step towards redefining the banking experience for millions. Promising convenience, rewards, and a touch of luxury in everyday financial transactions, this collaboration aims to cater to the evolving needs of customers and set new standards in the industry.
how can I sell pi coins after successfully completing KYCDOT TECH
Pi coins is not launched yet in any exchange 💱 this means it's not swappable, the current pi displaying on coin market cap is the iou version of pi. And you can learn all about that on my previous post.
RIGHT NOW THE ONLY WAY you can sell pi coins is through verified pi merchants. A pi merchant is someone who buys pi coins and resell them to exchanges and crypto whales. Looking forward to hold massive quantities of pi coins before the mainnet launch.
This is because pi network is not doing any pre-sale or ico offerings, the only way to get my coins is from buying from miners. So a merchant facilitates the transactions between the miners and these exchanges holding pi.
I and my friends has sold more than 6000 pi coins successfully with this method. I will be happy to share the contact of my personal pi merchant. The one i trade with, if you have your own merchant you can trade with them. For those who are new.
Message: @Pi_vendor_247 on telegram.
I wouldn't advise you selling all percentage of the pi coins. Leave at least a before so its a win win during open mainnet. Have a nice day pioneers ♥️
#kyc #mainnet #picoins #pi #sellpi #piwallet
#pinetwork
What price will pi network be listed on exchangesDOT TECH
The rate at which pi will be listed is practically unknown. But due to speculations surrounding it the predicted rate is tends to be from 30$ — 50$.
So if you are interested in selling your pi network coins at a high rate tho. Or you can't wait till the mainnet launch in 2026. You can easily trade your pi coins with a merchant.
A merchant is someone who buys pi coins from miners and resell them to Investors looking forward to hold massive quantities till mainnet launch.
I will leave the telegram contact of my personal pi vendor to trade with.
@Pi_vendor_247
The secret way to sell pi coins effortlessly.DOT TECH
Well as we all know pi isn't launched yet. But you can still sell your pi coins effortlessly because some whales in China are interested in holding massive pi coins. And they are willing to pay good money for it. If you are interested in selling I will leave a contact for you. Just telegram this number below. I sold about 3000 pi coins to him and he paid me immediately.
Telegram: @Pi_vendor_247
how to sell pi coins at high rate quickly.DOT TECH
Where can I sell my pi coins at a high rate.
Pi is not launched yet on any exchange. But one can easily sell his or her pi coins to investors who want to hold pi till mainnet launch.
This means crypto whales want to hold pi. And you can get a good rate for selling pi to them. I will leave the telegram contact of my personal pi vendor below.
A vendor is someone who buys from a miner and resell it to a holder or crypto whale.
Here is the telegram contact of my vendor:
@Pi_vendor_247
how can I sell my pi coins for cash in a pi APPDOT TECH
You can't sell your pi coins in the pi network app. because it is not listed yet on any exchange.
The only way you can sell is by trading your pi coins with an investor (a person looking forward to hold massive amounts of pi coins before mainnet launch) .
You don't need to meet the investor directly all the trades are done with a pi vendor/merchant (a person that buys the pi coins from miners and resell it to investors)
I Will leave The telegram contact of my personal pi vendor, if you are finding a legitimate one.
@Pi_vendor_247
#pi network
#pi coins
#money
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how to sell pi coins on Bitmart crypto exchangeDOT TECH
Yes. Pi network coins can be exchanged but not on bitmart exchange. Because pi network is still in the enclosed mainnet. The only way pioneers are able to trade pi coins is by reselling the pi coins to pi verified merchants.
A verified merchant is someone who buys pi network coins and resell it to exchanges looking forward to hold till mainnet launch.
I will leave the telegram contact of my personal pi merchant to trade with.
@Pi_vendor_247
how to sell pi coins in all Africa Countries.DOT TECH
Yes. You can sell your pi network for other cryptocurrencies like Bitcoin, usdt , Ethereum and other currencies And this is done easily with the help from a pi merchant.
What is a pi merchant ?
Since pi is not launched yet in any exchange. The only way you can sell right now is through merchants.
A verified Pi merchant is someone who buys pi network coins from miners and resell them to investors looking forward to hold massive quantities of pi coins before mainnet launch in 2026.
I will leave the telegram contact of my personal pi merchant to trade with.
@Pi_vendor_247
how to sell pi coins in South Korea profitably.DOT TECH
Yes. You can sell your pi network coins in South Korea or any other country, by finding a verified pi merchant
What is a verified pi merchant?
Since pi network is not launched yet on any exchange, the only way you can sell pi coins is by selling to a verified pi merchant, and this is because pi network is not launched yet on any exchange and no pre-sale or ico offerings Is done on pi.
Since there is no pre-sale, the only way exchanges can get pi is by buying from miners. So a pi merchant facilitates these transactions by acting as a bridge for both transactions.
How can i find a pi vendor/merchant?
Well for those who haven't traded with a pi merchant or who don't already have one. I will leave the telegram id of my personal pi merchant who i trade pi with.
Tele gram: @Pi_vendor_247
#pi #sell #nigeria #pinetwork #picoins #sellpi #Nigerian #tradepi #pinetworkcoins #sellmypi
USDA Loans in California: A Comprehensive Overview.pptxmarketing367770
USDA Loans in California: A Comprehensive Overview
If you're dreaming of owning a home in California's rural or suburban areas, a USDA loan might be the perfect solution. The U.S. Department of Agriculture (USDA) offers these loans to help low-to-moderate-income individuals and families achieve homeownership.
Key Features of USDA Loans:
Zero Down Payment: USDA loans require no down payment, making homeownership more accessible.
Competitive Interest Rates: These loans often come with lower interest rates compared to conventional loans.
Flexible Credit Requirements: USDA loans have more lenient credit score requirements, helping those with less-than-perfect credit.
Guaranteed Loan Program: The USDA guarantees a portion of the loan, reducing risk for lenders and expanding borrowing options.
Eligibility Criteria:
Location: The property must be located in a USDA-designated rural or suburban area. Many areas in California qualify.
Income Limits: Applicants must meet income guidelines, which vary by region and household size.
Primary Residence: The home must be used as the borrower's primary residence.
Application Process:
Find a USDA-Approved Lender: Not all lenders offer USDA loans, so it's essential to choose one approved by the USDA.
Pre-Qualification: Determine your eligibility and the amount you can borrow.
Property Search: Look for properties in eligible rural or suburban areas.
Loan Application: Submit your application, including financial and personal information.
Processing and Approval: The lender and USDA will review your application. If approved, you can proceed to closing.
USDA loans are an excellent option for those looking to buy a home in California's rural and suburban areas. With no down payment and flexible requirements, these loans make homeownership more attainable for many families. Explore your eligibility today and take the first step toward owning your dream home.
2. WHAT IS A STOCK?
A stock is a
small share that
represents a partial
ownership of a
company.
SHARE MARKET
The place where
selling and buying
takes place.
3. TO START A BUSINESS
Initial investment
From one person
From more no. of
persons
From one or two
persons
Proprietorship Partnership Limited company
4. WHY DOES THE COMPANY ISSUE A
STOCK?
The reason is that at some point every company
needs to raise money. To do this, companies can
either borrow it from somebody or raise it by
selling part of the company, which is known as
issuing stock. A company can borrow by taking a
loan from a bank or by issuing bonds.
5. WHO WILL RUN THE COMPANY?
Being a shareholder of a public company
does not mean you have a say in the day-to-
day running of the business. Instead, one
vote per share to elect the board of directors
at annual meetings is the extent to which you
have a say in the company.
6. INITIAL PUBLIC OFFERING
The first sale of a
stock, which is issued
by the private company
itself, is called the
initial public offering
(IPO).
7. IF YOU ARE UNABLE TO BUY A SHARE
DIRECTLY FROM THE COMPANY
WHAT WILL YOU DO?
8. BOMBAY STOCK EXCHANGE(BSE)
Oldest and first
stock exchange of
India (1875)
First it was started
under banyan tree
opposite to town hall
of Bombay over 22
brokers.
11. A stock is
represented by a
stock certificate.
This is a fancy
piece of paper that
is proof of your
ownership.
12. DEMATERIALIZATION
• In today's computer age, you won't actually get to
see this document because your brokerage keeps
these records electronically, which is also known as
holding shares "in street name". This is done to
make the shares easier to trade. In the past, when a
person wanted to sell his or her shares, that person
physically took the certificates down to the
13. BROKERS
He is one acts as
an intermediary on
behalf of others. A
broker in a stock
exchange is a
commission agent
who transacts
business in securities
on behalf of non
members.
17. BULL MARKET
A situation at the
stock exchange in
which the prices of
shares are rising and
people known as bulls
buy shares in order to
make a profit by
selling them later at a
higher price.
18. BEAR MARKET
A situation at the
stock exchange in
which company share
prices are falling
rapidly. People who
sell their shares,
hoping to buy them
back later at a lower
price, are called
bears.
21. HOW TO CHOOSE STOCKS?
Read as much as you can.
Start with industries with which you are
familiar.
Think of products you like or companies that
provide services you think are good or popular.
Decide how much money you are willing to risk.
Learn how to identify stocks with criteria that
may indicate potential for future price
appreciation.
22. Determine a method of knowing when to be
buying a stock and when to avoid adding new
money to your investments.
Don't place orders overnight.
Do not impulse buying stocks.
Don't sell when a stock falls unless you're sure
it's only going to drop further.
WARNINGS