Recorded Future harvests and organizes the predictive information contained on the web. They provide clients with tools to analyze past, planned, and speculative events extracted from web sources. This allows clients to create customized media-analytic feeds and apply the data to tasks like liquidity management, short-term trading, strategy allocation, and risk modeling. Case studies show the data has predictive power and can improve models when combined with traditional market data.
isMOOD: Listening to the customers’ voice through social network analyticsisMOOD
Using isMOOD social network analytics tool to listen to your customers' needs and react to them timely and effectively.
Using isMOOD social network analytics tool to listen to your customers' needs and react to them timely and effectively.
Multimedia data minig and analytics sentiment analysis using social multimediaKan-Han (John) Lu
● The growing importance of sentiment analysis coincides with the popularity of social network platform (Facebook, Twitter, Flickr).
● A tremendous amount of data in different forms including text, image, and videos makes sentiment analysis a very challenging task.
● In this chapter, we will discuss some of the latest works on topics of sentiment analysis based on visual content and textual content.
IBM Cognos Social Media Analytic Solution - G A InfoMartGA InfoMart Ltd
IBM Cognos Social Media Analytic Solution helps you to analyse the voice of your customer on any user generated content like blog, forum, Facebook Page...etc, so you could easy identify:
1. Who the key influencer - some review/blog writer got 3000 page view in a day, can you leverage him?
2. What's the evolving topic - what's mostly mentioned topic while the user discussing your product/services?
3. what's the best time and best channel to release news?
Check more details in the slide and you will know how to unveil the hidden gems!
Is brand loyalty dead in the age of the social consumer? Our latest social report clearly says brand loyalty is on the rise for brands that are doing it right by consumers.
Watch this webinar to learn more as we discuss how top beauty brands are doing it right in gaining loyal followers and differentiating themselves in the eyes of consumers. You'll learn about best-in-class brands that are investing in positive experiences to grow consumer sentiment and the innovative measurement techniques they use to build consumer loyalty.
KEY TAKEAWAYS:
Gain best practices on improving and measuring lift on customer experiences at key touch points
Preview the latest Brand Passion Report on Beauty & Skincare and see which brands are gaining momentum
Learn innovative loyalty and measurement techniques now possible with social analytics
isMOOD: Listening to the customers’ voice through social network analyticsisMOOD
Using isMOOD social network analytics tool to listen to your customers' needs and react to them timely and effectively.
Using isMOOD social network analytics tool to listen to your customers' needs and react to them timely and effectively.
Multimedia data minig and analytics sentiment analysis using social multimediaKan-Han (John) Lu
● The growing importance of sentiment analysis coincides with the popularity of social network platform (Facebook, Twitter, Flickr).
● A tremendous amount of data in different forms including text, image, and videos makes sentiment analysis a very challenging task.
● In this chapter, we will discuss some of the latest works on topics of sentiment analysis based on visual content and textual content.
IBM Cognos Social Media Analytic Solution - G A InfoMartGA InfoMart Ltd
IBM Cognos Social Media Analytic Solution helps you to analyse the voice of your customer on any user generated content like blog, forum, Facebook Page...etc, so you could easy identify:
1. Who the key influencer - some review/blog writer got 3000 page view in a day, can you leverage him?
2. What's the evolving topic - what's mostly mentioned topic while the user discussing your product/services?
3. what's the best time and best channel to release news?
Check more details in the slide and you will know how to unveil the hidden gems!
Is brand loyalty dead in the age of the social consumer? Our latest social report clearly says brand loyalty is on the rise for brands that are doing it right by consumers.
Watch this webinar to learn more as we discuss how top beauty brands are doing it right in gaining loyal followers and differentiating themselves in the eyes of consumers. You'll learn about best-in-class brands that are investing in positive experiences to grow consumer sentiment and the innovative measurement techniques they use to build consumer loyalty.
KEY TAKEAWAYS:
Gain best practices on improving and measuring lift on customer experiences at key touch points
Preview the latest Brand Passion Report on Beauty & Skincare and see which brands are gaining momentum
Learn innovative loyalty and measurement techniques now possible with social analytics
In this presentation we review the basic architecture behind SQL Server StreamInsight.
Regards,
Ing. Eduardo Castro Martínez, PhD – Microsoft SQL Server MVP
http://mswindowscr.org
http://comunidadwindows.org
Costa Rica
Technorati Tags: SQL Server
LiveJournal Tags: SQL Server
del.icio.us Tags: SQL Server
http://ecastrom.blogspot.com
http://ecastrom.wordpress.com
http://ecastrom.spaces.live.com
http://universosql.blogspot.com
http://todosobresql.blogspot.com
http://todosobresqlserver.wordpress.com
http://mswindowscr.org/blogs/sql/default.aspx
http://citicr.org/blogs/noticias/default.aspx
http://sqlserverpedia.blogspot.com/
Elastic Stack: Using data for insight and actionElasticsearch
Learn about the latest innovations for managing data storage costs while balancing performance with Elasticsearch. See how to use new visualization and alerting capabilities to turn data insights into decisive action.
Implementing a data_science_project (Python Version)_part1Dr Sulaimon Afolabi
This teaches how to implement a data science project using Python.
You can watch the youtube video via this link https://goo.gl/Mi4aJH
Jupyter notebook: https://goo.gl/AxRMe3
In this presentation we review the basic architecture behind SQL Server StreamInsight.
Regards,
Ing. Eduardo Castro Martínez, PhD – Microsoft SQL Server MVP
http://mswindowscr.org
http://comunidadwindows.org
Costa Rica
Technorati Tags: SQL Server
LiveJournal Tags: SQL Server
del.icio.us Tags: SQL Server
http://ecastrom.blogspot.com
http://ecastrom.wordpress.com
http://ecastrom.spaces.live.com
http://universosql.blogspot.com
http://todosobresql.blogspot.com
http://todosobresqlserver.wordpress.com
http://mswindowscr.org/blogs/sql/default.aspx
http://citicr.org/blogs/noticias/default.aspx
http://sqlserverpedia.blogspot.com/
Elastic Stack: Using data for insight and actionElasticsearch
Learn about the latest innovations for managing data storage costs while balancing performance with Elasticsearch. See how to use new visualization and alerting capabilities to turn data insights into decisive action.
Implementing a data_science_project (Python Version)_part1Dr Sulaimon Afolabi
This teaches how to implement a data science project using Python.
You can watch the youtube video via this link https://goo.gl/Mi4aJH
Jupyter notebook: https://goo.gl/AxRMe3
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.
Lecture slide titled Fraud Risk Mitigation, Webinar Lecture Delivered at the Society for West African Internal Audit Practitioners (SWAIAP) on Wednesday, November 8, 2023.
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
how to swap pi coins to foreign currency withdrawable.DOT TECH
As of my last update, Pi is still in the testing phase and is not tradable on any exchanges.
However, Pi Network has announced plans to launch its Testnet and Mainnet in the future, which may include listing Pi on exchanges.
The current method for selling pi coins involves exchanging them with a pi vendor who purchases pi coins for investment reasons.
If you want to sell your pi coins, reach out to a pi vendor and sell them to anyone looking to sell pi coins from any country around the globe.
Below is the contact information for my personal pi vendor.
Telegram: @Pi_vendor_247
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
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
BONKMILLON Unleashes Its Bonkers Potential on Solana.pdfcoingabbar
Introducing BONKMILLON - The Most Bonkers Meme Coin Yet
Let's be real for a second – the world of meme coins can feel like a bit of a circus at times. Every other day, there's a new token promising to take you "to the moon" or offering some groundbreaking utility that'll change the game forever. But how many of them actually deliver on that hype?
Yes of course, you can easily start mining pi network coin today and sell to legit pi vendors in the United States.
Here the telegram contact of my personal vendor.
@Pi_vendor_247
#pi network #pi coins #legit #passive income
#US
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.
Recorded Future News Analytics for Financial Services
1. Recorded Future David Moon Global Head of Financial Services Bill Ladd Chief Analytic Officer
2. What is Recorded Future? 3/1/2011 2 We believe that the content of the web has predictive power. So... We’ve harvested and organized the only real-time source for past, planned and speculative events on the web. To... Allow users to “slice-and-dice” the web to make predictions.
3. Web is Loaded with Predictions 3/1/2011 3 Silicon Valley executives head to Vail, Colo. next week for the annual Pacific Crest Technology Leadership Forum Drought and malnutrition hinder next year’s development plans in Yemen... “Strange new Russian worm set to unleash botnet on 4/1/2012...” The carrier may select partners to set up a new carrier as early as next month “According to TechCrunch China’s new 4G network will be deployed by mid-2010” “... Dr Sarkar says the new facility will be operational by March 2014...” “2010 is the year when Iran will kick out Islam. Ya Ahura we will.” “...opposition organizers plan to meet on Thursday to protest...” “Excited to see Mubarak speak this weekend...”
9. Case Studies Liquidity Management Predicting liquidity with media coverage Short Term Trading “Future event” study Strategy Allocation Measuring investment strategy crowdedness with online media. Risk Modeling Anticipating future volatility with media sentiment and macroeconomic discussion. 3/1/2011 5
10. Case 1 – Liquidity ManagementPredicting Liquidity with Momentum Recorded Future momentum contains predictive information for dollar volume of S&P 500 companies. Control for trailing market volume on a 1 and 20-day basis. Use 1-day trailing momentum. Call:lm(formula = Dollarvol.1 ~ 0 + lDollarvol.1 + smaDvol.Dollarvol.1 + smaxlMo, data = seriesdf)Residuals:Min 1Q Median 3Q Max -5.039e+09 -2.215e+07 -2.284e+06 1.813e+07 1.597e+10 Coefficients:Estimate Std. Error t value Pr(>|t|) lDollarvol.1 0.513193 0.003237 158.54 < 2e-16 ***smaDvol.Dollarvol.1 0.471645 0.003817 123.56 < 2e-16 ***smaxlMo 0.077162 0.015683 4.92 8.67e-07 ***---Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 170900000 on 72109 degrees of freedomMultiple R-squared: 0.8539, Adjusted R-squared: 0.8539 F-statistic: 1.405e+05 on 3 and 72109 DF, p-value: < 2.2e-16 3/1/2011 6
11. Case 2 – Short Term TradingFuture Event Distributions 3/1/2011 7 Non-earnings related events are negative. We controlled for earnings and non-earnings related news. The study queried instances where there was advance notice of specific future events. Events defined as one day long with S&P 500 constituents These typically provided one to three days advance notice ~19,000 unique events satisfied these criteria ~1-3 days t(days)
12. Case 2 – Short Term TradingNews “Should” be Priced in Immediately Buy the rumor, sell the news describes earnings related events. Market adjusted returns increase on approach to the event day and decline thereafter. It does not describe non-earnings related events. No increase in returns on approach to event-day Statistically significant increase in volume (0.3σ) and decrease in market adjusted returns. Non-earnings related events were net negative. 3/1/2011 8 Typical Publication Day Predicted Event Day
13. Case 3 – Strategy AllocationQuantifying Strategy Crowdedness 3/1/2011 9 Recorded Future data yielded an inverse correlation between the performance of a momentum strategy and the business media’s discussion of momentum. The study introduced a synthetic linguistic score. Relied on standard API queries Scored fragments based on momentum-related terms Increased discussion of momentum-related trading correlated with declining returns. Inverse correlation with $NAV/share of momentum mutual fund Monthly correlation of -0.56 over the past year
14. Case 4 – Risk ModelingVolatility Forecasting Methodology Data Extraction Extract all references to S&P 500 Companies from Recorded Future’s structured content database from January 1, 2009 to December 9, 2010. Includes synonyms (IBM vs. International Business Machines, etc.) Reduce to only mentions on “Blog” sources. Compute sentiment and momentum of text surrounding references to the Index over the time period. Data Aggregation Compute daily series of count-weighted mean sentiment and momentum. Modeling Calculate exponential moving averages of these values over a 26-day trailing window. Regress against 1-month forward realized volatility of S&P 500. Model Assessment Economic evaluation of model parameters – do they make sense? Comparison to other volatility metrics – how does the signal compare? 3/1/2011 10
15. Case 4 – Risk ModelingModel Summary Call: lm(formula = spyvol ~ vix + emamo + emaneg, data = blogus) Residuals: Min 1Q Median 3Q Max -0.0087503 -0.0020655 -0.0004415 0.0020463 0.0100361 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.237e-02 2.460e-03 -5.028 7.03e-07 *** vix 3.938e-04 2.511e-05 15.681 < 2e-16 *** emamo 2.337e-02 8.164e-03 2.863 0.00439 ** emaneg 3.204e-01 3.631e-02 8.824 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.003263 on 478 degrees of freedom (25 observations deleted due to missingness) Multiple R-squared: 0.6867, Adjusted R-squared: 0.6848 F-statistic: 349.3 on 3 and 478 DF, p-value: < 2.2e-16 3/1/2011 11 Regressors are VIX value, and 28-day EMAs of average momentum and negative sentiment in text surrounding S&P500 companies. Controlling for VIX, an increase in chatter around S&P 500 companies and an increase in negative sentiment around S&P500 companies lead increases in one-month forward realized volatility. Positive sentiment NOT a statistically significant term in this model. Volatility driven by fear, not euphoria? R-squared of 0.68 respectable compared to VIX’s ability to predict 1-month forward volatility – R-squared 0.63. RF data orthogonal to market data – controlling for VIX leads to models with R-squared > 0.63
16. Getting Started – Data & Aggregates Data Instances Sources & Documents Entities & Events Canonical events Entity identifiers: tickers, industry taxonomy Time Publication Date Event Date Calculated Scores Momentum, Sentiment Aggregates US equities aggregates Daily composite momentum and sentiment scores for constituents of the Russell 3000 Custom aggregates built on data elements 3/1/2011 12 Canonical info Sentiment Momentum Event time Co-occurring entities Source metadata Document metadata RF State Data Entity information
17. Access – Historical & Live Data 3/1/2011 13 Recorded Future Web Service API Recorded Future FTP Archive Data Formats – JSON, CSV Historical Data Delivery – API, FTP API – Historical results from raw data via web-service calls FTP – Files of aggregates, and bulk history Live Data Delivery – API Customized calls – as frequently as intra-day RF Aggregates – calculated daily JSON HTTP Request .zip archive csv aggregates json/tsv instances FTP Request JSON/CSV Response Historical Batch Download Live Download Load RF Data RF Customer Analytic Environment (R, Matlab, Java, Python, Excel, etc.)
18. Applications – Slicing the Data Case Studies, revisited Liquidity Management Pull aggregate Day/Company momentum data for S&P 500 Short Term Trading Pull instance data for S&P 500 companies where publish date is before event date Strategy Allocation Pull instance data where document category is “Business/Finance” and score fragments based on word/phrase choice Risk Modeling Pull aggregate momentum and sentiment data for the S&P 500 Companiesfor specified time period Different slices entail unique media-analytic feeds 3/1/2011 14
19. Summary Recorded Future provides the world’s only real-time source of past, planned and speculative events. Designed for clients to create unique media-analytic feeds via web-services API and FTP access. Applied to liquidity planning, short term trading, strategy allocation, risk modeling, among other scenarios 3/1/2011 15