This document discusses algorithmic trading and presents a minor project on the topic. It introduces algorithmic trading and its objectives such as predicting stock prices and portfolio management. It describes the required software, architecture, strategies including simple and exponential moving averages, the algorithm and output graph. It also covers limitations and concludes by discussing future enhancements to algorithmic trading using artificial intelligence.
Algorithmic trading, also called automated trading, black-box trading, or algo trading, is the use of electronic platforms for entering trading orders with an algorithm which executes pre-programmed trading instructions accounting for a variety of variables such as timing, price, and volume.
This presentation provide a general overview on Algorithmic trading. It has basic definitions and some details on general aspect of the environment in which algo trading is used.
Classification of quantitative trading strategies webinar pptQuantInsti
There exist thousands of academic research papers written on trading strategies. Learn what these academics found out and how we can use their knowledge in the trading world.
The webinar covers:
- Overview of research in a field of quantitative trading
- Taxonomy of quantitative trading strategies
- Where to look for unique alpha
- Examples of lesser-known trading strategies
- Common issues in quant research
Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/
Most Useful links
Join EPAT – Executive Programme in Algorithmic Trading: https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on Twitter: https://twitter.com/QuantInsti
Access the webinar recording here: http://ow.ly/1YwO30dz5FD
Know more about EPAT™ by QuantInsti™ at http://www.quantinsti.com/epat/
Quant insti webinar on algorithmic trading for technocrats!QuantInsti
The webinar links the key concepts of Algorithmic Trading to Engineers and Technology Graduates. It is aimed at explaining Algo Trading Basics in way that is easily understandable and palatable.
This video is part of a webinar taken by Gaurav Raizada on 14th May, 2013 at QuantInsti, Mumbai. The webinar was about Algorithmic and High Frequency trading career for technocrats with detailed discussion about this domain and different skill sets required to excel in this industry.
Algorithmic trading, also called automated trading, black-box trading, or algo trading, is the use of electronic platforms for entering trading orders with an algorithm which executes pre-programmed trading instructions accounting for a variety of variables such as timing, price, and volume.
This presentation provide a general overview on Algorithmic trading. It has basic definitions and some details on general aspect of the environment in which algo trading is used.
Classification of quantitative trading strategies webinar pptQuantInsti
There exist thousands of academic research papers written on trading strategies. Learn what these academics found out and how we can use their knowledge in the trading world.
The webinar covers:
- Overview of research in a field of quantitative trading
- Taxonomy of quantitative trading strategies
- Where to look for unique alpha
- Examples of lesser-known trading strategies
- Common issues in quant research
Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/
Most Useful links
Join EPAT – Executive Programme in Algorithmic Trading: https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on Twitter: https://twitter.com/QuantInsti
Access the webinar recording here: http://ow.ly/1YwO30dz5FD
Know more about EPAT™ by QuantInsti™ at http://www.quantinsti.com/epat/
Quant insti webinar on algorithmic trading for technocrats!QuantInsti
The webinar links the key concepts of Algorithmic Trading to Engineers and Technology Graduates. It is aimed at explaining Algo Trading Basics in way that is easily understandable and palatable.
This video is part of a webinar taken by Gaurav Raizada on 14th May, 2013 at QuantInsti, Mumbai. The webinar was about Algorithmic and High Frequency trading career for technocrats with detailed discussion about this domain and different skill sets required to excel in this industry.
EXANTE's lecture at Stockholm School of Economics in Riga.
– Objectives of algorithmic trading
– Various types of algorithms
– The process of creating one
– Testing and evaluation
– Understanding the possible pitfalls (and solutions)
"Lessons Learned from running a quant crypto fund" presented by Michael Feng, CEO and Co-founder of hummingbot
1. Crypto enables new quant strategies
2. Build a chain of production
3. Preventing overfitting is job #1
4. Establish a disaster response plan
5. Every model has an expiration date
Learn more about algo crypto trading: https://www.hummingbot.io
Technology Edge in Algo Trading: Traditional Vs Automated Trading System Arch...QuantInsti
This presentation was delivered by QuantInsti director and co-founder Mr Sameer Kumar at a workshop on 'Technology Edge in Algorithmic Trading' organized at Finbridge Expo 2015, Mumbai on 14th March 2015.
This event was India’s first ever integrated financial service providers’ exhibition that brought together top mutual funds, insurance companies, leading brokers, banks or financial institutions, fund managers, decision makers along with thousands of retail financial market participants, distributors, investors and vendors.
In this workshop Mr Sameer Kumar has explained how latest technology has changed trading environment and how you can increase your profits by taking advantage of it. He thoroughly discussed how tradition trading systems evolved into automated trading systems over past few years. Following are the topics that are covered in this presentation,
1) Significance of Latency
2) Traditional Trading System Architecture
3) Automated Trading System Architecture
4) Low Latency
5) Current Scenario
6) Performance Degradation with Throughput
7) Causes of Degradation
8) Parallel computing
9) Network Effects
10) Latency by Distance
11) Spread Networks
12) Microbursts
13) Latency Breakdown
14) Technology Mix
15) Tips
16) Sample Solution Path
This presentation will help you understand the traditional and automated trading system architecture, it will explain you the significance of latency in an automated trading environment and few tips along with a sample solution path.
"Trading Strategies That Are Designed Not Fitted" by Robert Carver, Independe...Quantopian
Engineers design stuff. Why do Quants prefer to fit? In this talk, Robert will explain what designing a trading system actually involves, explore why designing might be better than fitting, and introduce some of the tools you could use. He will also take you through the design process for an example trading strategy.
Finally, he will discuss how we can have the best of both worlds: strategies that are well designed and also fitted to the data.
QuantConnect - Introduction to Pairs TradingQuantConnect
Introduction to pairs trading on the QuantConnect platform. Webinar provided by Interactive Brokers. Learn the fundamentals of pairs trading in a non-technical manner. Using the research environment we'll investigate XOM and CVX for cointegration; and then backtest them in QuantConnect.
"How to Run a Quantitative Trading Business in China with Python" by Xiaoyou ...Quantopian
From QuantCon 2017: Running a quantitative trading business in China used to be very difficult and require strong IT skills, however it's getting much easier nowadays, when traders with no professional IT training can also do all the tasks in quantitative trading using Python.
In this sharing session, Xiaoyou will share his experience in using Python for data collection, strategy development and automated trading. He will also introduce some related open source projects including TuShare, quantOS, vn.py and so on.
“Forex Trading Strategies” is a complete guide of most popular and widely used strategies in Forex trade. You can read about day trading and its main types, understand the strategies based on market analysis, learn about portfolio and algorithmic trading, and many more. The book represents the ins and outs of each strategy - why and how it is used and how to get profit from trade. It is suitable for all traders who are novice in trade or want to improve their skills. All the strategies classified and explained here are for educational purposes and can be applied by each trader in a different way.
"From Alpha Discovery to Portfolio Construction: Pitfalls and Solutions" by D...Quantopian
From QuantCon 2017: Implementation is the efficient translation of alpha research into portfolios. It includes portfolio construction and trading. It is a vital step in the quant equity workflow, as poor implementation can ruin even the best alpha ideas. Two crucial challenges must be solved: how to construct a portfolio that most efficiently captures a given alpha signal; and, in the presence of multiple signals, how to optimally combine them into a single composite alpha factor.
This talk addresses these challenges, examines common pitfalls in the implementation of quantitative strategies and good practices to avoid them. A common theme is striking the right balance between factor signal purity and investability. We look at how factor models and optimisation techniques help professional investors answer three key questions:
· What risks should your risk model be cognisant of?
· What objective function should you use?
· What effect do investability constraints have on your portfolio?
Guide to otc trading,
I. PLAYER’S DEFINITION
II. PLAYER’S DESCRIPTION
III. REGULATORY REPORTING, ACRONYMS AND IDS
IV. TRADE TYPES BY EXAMPLES
V. TRADE LIFECYCLE AND WORKFLOW
VI. TRADE EVENTS
VII. INTRO TO MARKETWIRE & VCON
Testing trading strategies in JavaScriptAshley Davis
In this talk for the Brisbane JavaScript meetup Ashley shows how to backtest trading strategies in JavaScript.
We can simulate systematic trading strategies to under their performance and risk characteristics.
We can also do it to get a feel for the market and learn about trading.
It's a risk free way to learn the market and get a feel for trading before putting real money on the table.
A video for this talk is non online:
https://www.youtube.com/watch?v=ziRmuw3KTj8
To just see the live demo of backtesting in JavaScript please watch this video:
https://www.youtube.com/watch?v=3IoAV56Zbd4
This short course introduces traders to trading strategies and methods used in the Master in Trading Course at Online Finance Academy. Learn how we integrate probability analysis, order flow, market profile, volume analysis, chart patterns and macro-fundamentals into a comprehensive trading strategy.
See how I successfully trade stocks by looking back at some past trades.
These are NOT hindsight trades and were posted real real time.
You can see all my setups posted to TraderPlanet here: http://www.traderplanet.com/newsletter-issues/articles/1/Steven+Place/
And you can get more awesome stuff by going to my site at investingwithoptions.com
"Quant Trading for a Living – Lessons from a Life in the Trenches" by Andreas...Quantopian
It takes hard work, skill and time to develop robust trading models, but that is just the beginning of the journey. The question then is what you can do with it, and how to go about building a career in quant finance.
If your plan is to move beyond hobby trading and build a career in in the professional quant trading field, the work is not over once you have a great model.
This presentation will discuss how to leverage your trading models into building a successful career in quant trading. We will look at the various options available, and their respective merits and faults. Whether you want to trade your own money for a living, find a job in the industry or build your own business, your model design will have to be adapted to your aim. We will discuss what type of models and results there is a market for, how to go about finding investors for your trading, and how the real economics of the business look.
This months speaker is Quantitative Researcher Yann-Shin Aaron Chen. Chen grew up in Taipei and moved to Southern California when he was a teenager. He participated in numerous math and physics competitions in high school and was ranked in the top 24 students in the US Physics Olympiad. He obtained a B.A. in mathematics at U.C. Berkeley, and got his PhD also at Berkeley in 2012. During his graduate studies, he did a summer internship at Morgan Stanley. After graduation, he joined Citadel, one of the largest hedge funds in US, as a quantitative researcher and worked there for 5 years. He left Citadel a few months ago, and he is now looking forward to his next venture.
Quantitative trading is a relatively new field in the world of finance. With the advances of information technology and data science, quantitative trading has generated significant interest in the past decade. In his talk, Aaron will cover the basic facts about quantitative trading and open the floor for questions. This short presentation is intended for people that are not in this industry and want to learn more about it.
EXANTE's lecture at Stockholm School of Economics in Riga.
– Objectives of algorithmic trading
– Various types of algorithms
– The process of creating one
– Testing and evaluation
– Understanding the possible pitfalls (and solutions)
"Lessons Learned from running a quant crypto fund" presented by Michael Feng, CEO and Co-founder of hummingbot
1. Crypto enables new quant strategies
2. Build a chain of production
3. Preventing overfitting is job #1
4. Establish a disaster response plan
5. Every model has an expiration date
Learn more about algo crypto trading: https://www.hummingbot.io
Technology Edge in Algo Trading: Traditional Vs Automated Trading System Arch...QuantInsti
This presentation was delivered by QuantInsti director and co-founder Mr Sameer Kumar at a workshop on 'Technology Edge in Algorithmic Trading' organized at Finbridge Expo 2015, Mumbai on 14th March 2015.
This event was India’s first ever integrated financial service providers’ exhibition that brought together top mutual funds, insurance companies, leading brokers, banks or financial institutions, fund managers, decision makers along with thousands of retail financial market participants, distributors, investors and vendors.
In this workshop Mr Sameer Kumar has explained how latest technology has changed trading environment and how you can increase your profits by taking advantage of it. He thoroughly discussed how tradition trading systems evolved into automated trading systems over past few years. Following are the topics that are covered in this presentation,
1) Significance of Latency
2) Traditional Trading System Architecture
3) Automated Trading System Architecture
4) Low Latency
5) Current Scenario
6) Performance Degradation with Throughput
7) Causes of Degradation
8) Parallel computing
9) Network Effects
10) Latency by Distance
11) Spread Networks
12) Microbursts
13) Latency Breakdown
14) Technology Mix
15) Tips
16) Sample Solution Path
This presentation will help you understand the traditional and automated trading system architecture, it will explain you the significance of latency in an automated trading environment and few tips along with a sample solution path.
"Trading Strategies That Are Designed Not Fitted" by Robert Carver, Independe...Quantopian
Engineers design stuff. Why do Quants prefer to fit? In this talk, Robert will explain what designing a trading system actually involves, explore why designing might be better than fitting, and introduce some of the tools you could use. He will also take you through the design process for an example trading strategy.
Finally, he will discuss how we can have the best of both worlds: strategies that are well designed and also fitted to the data.
QuantConnect - Introduction to Pairs TradingQuantConnect
Introduction to pairs trading on the QuantConnect platform. Webinar provided by Interactive Brokers. Learn the fundamentals of pairs trading in a non-technical manner. Using the research environment we'll investigate XOM and CVX for cointegration; and then backtest them in QuantConnect.
"How to Run a Quantitative Trading Business in China with Python" by Xiaoyou ...Quantopian
From QuantCon 2017: Running a quantitative trading business in China used to be very difficult and require strong IT skills, however it's getting much easier nowadays, when traders with no professional IT training can also do all the tasks in quantitative trading using Python.
In this sharing session, Xiaoyou will share his experience in using Python for data collection, strategy development and automated trading. He will also introduce some related open source projects including TuShare, quantOS, vn.py and so on.
“Forex Trading Strategies” is a complete guide of most popular and widely used strategies in Forex trade. You can read about day trading and its main types, understand the strategies based on market analysis, learn about portfolio and algorithmic trading, and many more. The book represents the ins and outs of each strategy - why and how it is used and how to get profit from trade. It is suitable for all traders who are novice in trade or want to improve their skills. All the strategies classified and explained here are for educational purposes and can be applied by each trader in a different way.
"From Alpha Discovery to Portfolio Construction: Pitfalls and Solutions" by D...Quantopian
From QuantCon 2017: Implementation is the efficient translation of alpha research into portfolios. It includes portfolio construction and trading. It is a vital step in the quant equity workflow, as poor implementation can ruin even the best alpha ideas. Two crucial challenges must be solved: how to construct a portfolio that most efficiently captures a given alpha signal; and, in the presence of multiple signals, how to optimally combine them into a single composite alpha factor.
This talk addresses these challenges, examines common pitfalls in the implementation of quantitative strategies and good practices to avoid them. A common theme is striking the right balance between factor signal purity and investability. We look at how factor models and optimisation techniques help professional investors answer three key questions:
· What risks should your risk model be cognisant of?
· What objective function should you use?
· What effect do investability constraints have on your portfolio?
Guide to otc trading,
I. PLAYER’S DEFINITION
II. PLAYER’S DESCRIPTION
III. REGULATORY REPORTING, ACRONYMS AND IDS
IV. TRADE TYPES BY EXAMPLES
V. TRADE LIFECYCLE AND WORKFLOW
VI. TRADE EVENTS
VII. INTRO TO MARKETWIRE & VCON
Testing trading strategies in JavaScriptAshley Davis
In this talk for the Brisbane JavaScript meetup Ashley shows how to backtest trading strategies in JavaScript.
We can simulate systematic trading strategies to under their performance and risk characteristics.
We can also do it to get a feel for the market and learn about trading.
It's a risk free way to learn the market and get a feel for trading before putting real money on the table.
A video for this talk is non online:
https://www.youtube.com/watch?v=ziRmuw3KTj8
To just see the live demo of backtesting in JavaScript please watch this video:
https://www.youtube.com/watch?v=3IoAV56Zbd4
This short course introduces traders to trading strategies and methods used in the Master in Trading Course at Online Finance Academy. Learn how we integrate probability analysis, order flow, market profile, volume analysis, chart patterns and macro-fundamentals into a comprehensive trading strategy.
See how I successfully trade stocks by looking back at some past trades.
These are NOT hindsight trades and were posted real real time.
You can see all my setups posted to TraderPlanet here: http://www.traderplanet.com/newsletter-issues/articles/1/Steven+Place/
And you can get more awesome stuff by going to my site at investingwithoptions.com
"Quant Trading for a Living – Lessons from a Life in the Trenches" by Andreas...Quantopian
It takes hard work, skill and time to develop robust trading models, but that is just the beginning of the journey. The question then is what you can do with it, and how to go about building a career in quant finance.
If your plan is to move beyond hobby trading and build a career in in the professional quant trading field, the work is not over once you have a great model.
This presentation will discuss how to leverage your trading models into building a successful career in quant trading. We will look at the various options available, and their respective merits and faults. Whether you want to trade your own money for a living, find a job in the industry or build your own business, your model design will have to be adapted to your aim. We will discuss what type of models and results there is a market for, how to go about finding investors for your trading, and how the real economics of the business look.
This months speaker is Quantitative Researcher Yann-Shin Aaron Chen. Chen grew up in Taipei and moved to Southern California when he was a teenager. He participated in numerous math and physics competitions in high school and was ranked in the top 24 students in the US Physics Olympiad. He obtained a B.A. in mathematics at U.C. Berkeley, and got his PhD also at Berkeley in 2012. During his graduate studies, he did a summer internship at Morgan Stanley. After graduation, he joined Citadel, one of the largest hedge funds in US, as a quantitative researcher and worked there for 5 years. He left Citadel a few months ago, and he is now looking forward to his next venture.
Quantitative trading is a relatively new field in the world of finance. With the advances of information technology and data science, quantitative trading has generated significant interest in the past decade. In his talk, Aaron will cover the basic facts about quantitative trading and open the floor for questions. This short presentation is intended for people that are not in this industry and want to learn more about it.
How to design quant trading strategies using “R”?QuantInsti
This presentation answers fundamental questions like - What is R? How can we use R packages in writing quantitative trading strategies?
It also details the steps in the development of a quantitative trading strategy.
Going further it teaches how to optimize & refine your strategy.
The attached video gives an elaborate demonstration of a quant trading strategy in action.
The presentation is a part of a webinar which was conducted by Mr. Anil Yadav, who is a co-founder of iRageCapital and QuantInsti, manages an Algorithmic strategy advisory team at iRageCapital and is responsible for building and benchmarking strategies for the clients across various asset classes. Prior to iRage, he has worked as Convertible Analyst at Lehman Brothers. He is IIM - Lucknow and IIT - Kanpur Alumnus.
Ecetera uses Splunk to facilitate DevOps in forexOcean Software
This presentation describes how we deployed Splunk within the Forex and Fixed Interest divisions of one of Australia's big 4 trading banks.
The deployment enabled the bank to move closer towards a DevOps environment, while also saving them considerable money with the consolidation of FX & FI platforms.
Wall Street Derivative Risk Solutions Using GeodeVMware Tanzu
SpringOne Platform 2016
Speaker: Andre Langevin; Consultant, CIBC
In this talk, I will discuss how Geode forms the core of many Wall Street derivative risk solutions. By externalizing risk from trading systems, Geode-based solutions provide cross-product risk management at speeds suitable for automated hedging, while simultaneously eliminating the back office costs associated with traditional trading system based solutions.
Building Wall St Risk Systems with Apache GeodeAndre Langevin
In this talk from the 2016 Apache Geode Summit, I discuss how Geode forms the core of many Wall Street derivative risk solutions. By externalizing risk from trading systems, Geode-based solutions provide cross-product risk management at speeds suitable for automated hedging, while simultaneously eliminating the back office costs associated with traditional trading system based solutions.
#GeodeSummit - Wall St. Derivative Risk Solutions Using GeodePivotalOpenSourceHub
In this talk, Andre Langevin discusses how Geode forms the core of many Wall Street derivative risk solutions. By externalizing risk from trading systems, Geode-based solutions provide cross-product risk management at speeds suitable for automated hedging, while simultaneously eliminating the back office costs associated with traditional trading system based solutions.
Similar to Algo trading(Minor Project) strategy EMA with Ipython (20)
Financial Assets: Debit vs Equity Securities.pptxWrito-Finance
financial assets represent claim for future benefit or cash. Financial assets are formed by establishing contracts between participants. These financial assets are used for collection of huge amounts of money for business purposes.
Two major Types: Debt Securities and Equity Securities.
Debt Securities are Also known as fixed-income securities or instruments. The type of assets is formed by establishing contracts between investor and issuer of the asset.
• The first type of Debit securities is BONDS. Bonds are issued by corporations and government (both local and national government).
• The second important type of Debit security is NOTES. Apart from similarities associated with notes and bonds, notes have shorter term maturity.
• The 3rd important type of Debit security is TRESURY BILLS. These securities have short-term ranging from three months, six months, and one year. Issuer of such securities are governments.
• Above discussed debit securities are mostly issued by governments and corporations. CERTIFICATE OF DEPOSITS CDs are issued by Banks and Financial Institutions. Risk factor associated with CDs gets reduced when issued by reputable institutions or Banks.
Following are the risk attached with debt securities: Credit risk, interest rate risk and currency risk
There are no fixed maturity dates in such securities, and asset’s value is determined by company’s performance. There are two major types of equity securities: common stock and preferred stock.
Common Stock: These are simple equity securities and bear no complexities which the preferred stock bears. Holders of such securities or instrument have the voting rights when it comes to select the company’s board of director or the business decisions to be made.
Preferred Stock: Preferred stocks are sometime referred to as hybrid securities, because it contains elements of both debit security and equity security. Preferred stock confers ownership rights to security holder that is why it is equity instrument
<a href="https://www.writofinance.com/equity-securities-features-types-risk/" >Equity securities </a> as a whole is used for capital funding for companies. Companies have multiple expenses to cover. Potential growth of company is required in competitive market. So, these securities are used for capital generation, and then uses it for company’s growth.
Concluding remarks
Both are employed in business. Businesses are often established through debit securities, then what is the need for equity securities. Companies have to cover multiple expenses and expansion of business. They can also use equity instruments for repayment of debits. So, there are multiple uses for securities. As an investor, you need tools for analysis. Investment decisions are made by carefully analyzing the market. For better analysis of the stock market, investors often employ financial analysis of companies.
US Economic Outlook - Being Decided - M Capital Group August 2021.pdfpchutichetpong
The U.S. economy is continuing its impressive recovery from the COVID-19 pandemic and not slowing down despite re-occurring bumps. The U.S. savings rate reached its highest ever recorded level at 34% in April 2020 and Americans seem ready to spend. The sectors that had been hurt the most by the pandemic specifically reduced consumer spending, like retail, leisure, hospitality, and travel, are now experiencing massive growth in revenue and job openings.
Could this growth lead to a “Roaring Twenties”? As quickly as the U.S. economy contracted, experiencing a 9.1% drop in economic output relative to the business cycle in Q2 2020, the largest in recorded history, it has rebounded beyond expectations. This surprising growth seems to be fueled by the U.S. government’s aggressive fiscal and monetary policies, and an increase in consumer spending as mobility restrictions are lifted. Unemployment rates between June 2020 and June 2021 decreased by 5.2%, while the demand for labor is increasing, coupled with increasing wages to incentivize Americans to rejoin the labor force. Schools and businesses are expected to fully reopen soon. In parallel, vaccination rates across the country and the world continue to rise, with full vaccination rates of 50% and 14.8% respectively.
However, it is not completely smooth sailing from here. According to M Capital Group, the main risks that threaten the continued growth of the U.S. economy are inflation, unsettled trade relations, and another wave of Covid-19 mutations that could shut down the world again. Have we learned from the past year of COVID-19 and adapted our economy accordingly?
“In order for the U.S. economy to continue growing, whether there is another wave or not, the U.S. needs to focus on diversifying supply chains, supporting business investment, and maintaining consumer spending,” says Grace Feeley, a research analyst at M Capital Group.
While the economic indicators are positive, the risks are coming closer to manifesting and threatening such growth. The new variants spreading throughout the world, Delta, Lambda, and Gamma, are vaccine-resistant and muddy the predictions made about the economy and health of the country. These variants bring back the feeling of uncertainty that has wreaked havoc not only on the stock market but the mindset of people around the world. MCG provides unique insight on how to mitigate these risks to possibly ensure a bright economic future.
when will pi network coin be available on crypto exchange.DOT TECH
There is no set date for when Pi coins will enter the market.
However, the developers are working hard to get them released as soon as possible.
Once they are available, users will be able to exchange other cryptocurrencies for Pi coins on designated exchanges.
But for now the only way to sell your pi coins is through verified pi vendor.
Here is the telegram contact of my personal pi vendor
@Pi_vendor_247
BYD SWOT Analysis and In-Depth Insights 2024.pptxmikemetalprod
Indepth analysis of the BYD 2024
BYD (Build Your Dreams) is a Chinese automaker and battery manufacturer that has snowballed over the past two decades to become a significant player in electric vehicles and global clean energy technology.
This SWOT analysis examines BYD's strengths, weaknesses, opportunities, and threats as it competes in the fast-changing automotive and energy storage industries.
Founded in 1995 and headquartered in Shenzhen, BYD started as a battery company before expanding into automobiles in the early 2000s.
Initially manufacturing gasoline-powered vehicles, BYD focused on plug-in hybrid and fully electric vehicles, leveraging its expertise in battery technology.
Today, BYD is the world’s largest electric vehicle manufacturer, delivering over 1.2 million electric cars globally. The company also produces electric buses, trucks, forklifts, and rail transit.
On the energy side, BYD is a major supplier of rechargeable batteries for cell phones, laptops, electric vehicles, and energy storage systems.
How to get verified on Coinbase Account?_.docxBuy bitget
t's important to note that buying verified Coinbase accounts is not recommended and may violate Coinbase's terms of service. Instead of searching to "buy verified Coinbase accounts," follow the proper steps to verify your own account to ensure compliance and security.
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
What website can I sell pi coins securely.DOT TECH
Currently there are no website or exchange that allow buying or selling of pi coins..
But you can still easily sell pi coins, by reselling it to exchanges/crypto whales interested in holding thousands of pi coins before the mainnet launch.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and resell to these crypto whales and holders of pi..
This is because pi network is not doing any pre-sale. The only way exchanges can get pi is by buying from miners and pi merchants stands in between the miners and the exchanges.
How can I sell my pi coins?
Selling pi coins is really easy, but first you need to migrate to mainnet wallet before you can do that. I will leave the telegram contact of my personal pi merchant to trade with.
Tele-gram.
@Pi_vendor_247
Currently pi network is not tradable on binance or any other exchange because we are still in the enclosed mainnet.
Right now the only way to sell pi coins is by trading with a verified merchant.
What is a pi merchant?
A pi merchant is someone verified by pi network team and allowed to barter pi coins for goods and services.
Since pi network is not doing any pre-sale The only way exchanges like binance/huobi or crypto whales can get pi is by buying from miners. And a merchant stands in between the exchanges and the miners.
I will leave the telegram contact of my personal pi merchant. I and my friends has traded more than 6000pi coins successfully
Tele-gram
@Pi_vendor_247
what is the future of Pi Network currency.DOT TECH
The future of the Pi cryptocurrency is uncertain, and its success will depend on several factors. Pi is a relatively new cryptocurrency that aims to be user-friendly and accessible to a wide audience. Here are a few key considerations for its future:
Message: @Pi_vendor_247 on telegram if u want to sell PI COINS.
1. Mainnet Launch: As of my last knowledge update in January 2022, Pi was still in the testnet phase. Its success will depend on a successful transition to a mainnet, where actual transactions can take place.
2. User Adoption: Pi's success will be closely tied to user adoption. The more users who join the network and actively participate, the stronger the ecosystem can become.
3. Utility and Use Cases: For a cryptocurrency to thrive, it must offer utility and practical use cases. The Pi team has talked about various applications, including peer-to-peer transactions, smart contracts, and more. The development and implementation of these features will be essential.
4. Regulatory Environment: The regulatory environment for cryptocurrencies is evolving globally. How Pi navigates and complies with regulations in various jurisdictions will significantly impact its future.
5. Technology Development: The Pi network must continue to develop and improve its technology, security, and scalability to compete with established cryptocurrencies.
6. Community Engagement: The Pi community plays a critical role in its future. Engaged users can help build trust and grow the network.
7. Monetization and Sustainability: The Pi team's monetization strategy, such as fees, partnerships, or other revenue sources, will affect its long-term sustainability.
It's essential to approach Pi or any new cryptocurrency with caution and conduct due diligence. Cryptocurrency investments involve risks, and potential rewards can be uncertain. The success and future of Pi will depend on the collective efforts of its team, community, and the broader cryptocurrency market dynamics. It's advisable to stay updated on Pi's development and follow any updates from the official Pi Network website or announcements from the team.
where can I find a legit pi merchant onlineDOT TECH
Yes. This is very easy what you need is a recommendation from someone who has successfully traded pi coins before with a merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi network coins and resell them to Investors looking forward to hold thousands of pi coins before the open mainnet.
I will leave the telegram contact of my personal pi merchant to trade with
@Pi_vendor_247
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.
If you are looking for a pi coin investor. Then look no further because I have the right one he is a pi vendor (he buy and resell to whales in China). I met him on a crypto conference and ever since I and my friends have sold more than 10k pi coins to him And he bought all and still want more. I will drop his telegram handle below just send him a message.
@Pi_vendor_247
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 use my minded pi coins I need some funds.DOT TECH
If you are interested in selling your pi coins, i have a verified pi merchant, who buys pi coins and resell them to exchanges looking forward to hold till mainnet launch.
Because the core team has announced that pi network will not be doing any pre-sale. The only way exchanges like huobi, bitmart and hotbit can get pi is by buying from miners.
Now a merchant stands in between these exchanges and the miners. As a link to make transactions smooth. Because right now in the enclosed mainnet you can't sell pi coins your self. You need the help of a merchant,
i will leave the telegram contact of my personal pi merchant below. 👇 I and my friends has traded more than 3000pi coins with him successfully.
@Pi_vendor_247
how can i use my minded pi coins I need some funds.
Algo trading(Minor Project) strategy EMA with Ipython
1. ALGORITHMIC TRADING
Minor Project
Deb Prakash Ganguly 1401227154
Guided by (ASST PROF.NAMITA BAJPAI)
27,NOVEMBER,2017
C.V RAMAN COLLEGE OF ENGINEERING
.
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3. INTRODUCTION
• It is the process of using set of rules or any mathematical
model to generate profits at a high speed frequency that is
impossible for a human trader
• It is simply a way to minimize the cost, market impact and
risk in execution of an order.It is widely used by investment
banks and hedge funds.
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4. OBJECTIVE
• To predict stock prices through lagger indicator.
• Investor will evaluate strategies from a rigorous scientific
perspective to prevent financial crises .
• It will help in portfolio management to make a prediction
individual stocks.
• Trades will be instantly, to avoid significant price changes
Reduced transaction costs or brokerage charge.
• Reduced possibility of mistakes by human traders based
on psychological factors.
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5. SOFTWARE REQUIRED
• Automated trading can be done by c, c++, java script,
ipython, etc.out of which we are using interactive
python(Ipython)
• Most of the quant traders prefer Python algorithmic trading
as it helps them build their own execution mechanisms .
• Python can be used to develop some great treading
platform where using c or c++ is a time consuming job .
• It has packages like Pandas, NumPy, PyAlgoTrade,
MatPlotLib which support google finance, csv files.Are free
of cost.
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6. Interactive python
IPython provides a rich architecture for interactive computing
with:
• A powerful interactive shell.
• A kernel for Jupyter.
• Flexible, amendable interpreters to load into your own
projects.
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7. ARCHITECTURE
• The entire automated trading system can now be broken
down into 3 parts :
• The exchange(s) the external world
• The server
• Market Data receiver
• Store market data
• Store orders generated by the user
• Application
• Take inputs from the user including the trading decisions
• Interface for viewing the information including the data and
orders
• An order manager sending orders to the exchange
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9. NEW ARCHITECTURE
• The traditional architecture could not scale up to the needs
and demands of Automated trading with Direct market
access (DMA).
• The latency between origin of the event to the order
generation went beyond the dimension of human control .
• Order management also needs to be more robust and
capable of handling many more orders per second.
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10. • The infrastructure level of this module is superior
compared to traditional system . Hence the engine which
runs the logic of decision making,is known as the Complex
Event Processing engine, or CEP .
• The risk checks are performed now by a separate Risk
Management System (RMS) within the Order Manager
(OM), just before releasing an order.
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12. • The new architecture was capable of scaling to many
strategies per server, the need to connect to multiple
destinations from a single server emerged.
• The order manager hosted several adapters to send orders
to multiple destinations and receive data from multiple
exchanges.
• To avoid this hassle of adapter addition, standard protocols
have been designed. The most prominent among them is
the FIX (Financial Information Exchange) .
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13. Automated trading Strategies
As per the new architecture is capable of scaling too many
strategies out of which we apply 2 of them .
• Simple Moving Average (SMA)
• The simple moving average is the simplest type of moving
average.
• It is arguably the most popular technical analysis tool used
by traders.
• A simple (or arithmetic) moving average is an arithmetic
moving average calculated by adding the elements in a time
series and dividing this total by the number of time periods.
• [SMA = (Sum of data points in the moving average
period)/(Total number of periods)]
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14. • Exponential Moving Average (EMA or EWMA)
• The simple moving averages are sometimes too simple and
do not work well when there are spikes in the price of the
security. Exponential moving averages give more weight to
the most recent periods. This makes them more reliable
than the SMA and a better representation of the recent
performance of the security.
• alpha = 0.1 to 0.3 [ EMA = (Closing price minus EMA of
previous day/bar) x alpha) + EMA of previous day/bar
Rewritten as: EMA = (Closing price) x alpha + (EMA of
previous day/bar) x (1 minus multiplier)
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15. Algorithm
• Step 1:- Start
• Step 2:- Import packages
• Step 3:-Request for API
• Step 4:-Retrive access token
• Step 5:-Request trade segment in NSE or BSE
• Step 6:-Request for history data for a particular script from
NSE
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16. Algorithm
• Step 7:- Slicing dataframe.
• Step 8:- converting dataframe to csv file.
• Step 9:- calculation SMA[ n/n].
• Step 10:- calculation
EMA[(alpha*prev.close)+(1-alpha*prev.ema)
where alpha=( 2/1-n).
• Step 11:- Cal. EMA for 5,8 and 13 days.
• Step 12:- Convert all csv data to dataframe.
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17. Algorithm
• Step 13:- Plotting graph through dataframe.
• Step 14:- By using euclidean formula, distance between
two lines[dist((x, y), (a, b)) = (x − a)2 + (y − b)2]
• Step 15:- Cal.risk line= [dist((x, y), (a, b)) - [dist((x1, y1),
(a1, b1))
• Step 16:- If risk line == 0, check if (x,y) >(x1,y1) generate
’BUY’ signal else ’SELL’.
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20. Limitations
• Algorithmic trading is not 100 percent accurate.We just
predict future stock price basis upon past stock behaviour.
• Algorithmic trading is not universal. one algorithm cannot
be applied to every situation.
• Investor has to check daily news or updates of individual
script.
• Due to this market goes to more volatility.
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21. Conclusion
Trading is extremely difficult for both full time and especially part
time traders.The best road to gain profit is finding your own
trading strategies.Once you got it, is your goals and
objectives.No,trading strategies lasts forever and i find myself
constantly reinventing my strategy.I learned all of these
lessons,and many more from trade academy during my
internship.
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22. Future Enhancement
In year of 2008 SEBI started allowing DMA.In the US and other
developed markets HFT estimated 70 percentage of equity
market share.In India is around 12 percentage. As technology
is growing,financial technology is growing up same space.
In recent years,the number of machine learning packages has
increased in finance trading. some established funds like
Medallion,Citadel,JPmorgan using artificial intelligence, and
there performance is in peak level.
Upcoming years algo trading with AI power will have a huge
impact in Indian market.
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23. References
• Fundamental of dataframe by Yves Hilpisch,2016, p.137
• API connection
website:https://github.com/upstox/upstox-python
• Algo Trading architecture
https://www.quantinsti.com/blog/trading-systems-
architecture
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