Dropbox Valuation - Quick N’ Clean Click any link in the list below to jump to topic What is Dropbox What Sets Dropbox Apart Digging into the financials Relative & Intrinsic Valuations Is Dropbox Really a Buy Dropbox’s shares have fallen -27.6% from its July high of $26.20, which was under the recent February high of $26.49 as of 09/06/2019. It’s also -56.4% under the ATH of $43.

HTTPS to Secure Your RStudio + Shiny App Work Environment Click any link in list below to jump to topic Creating a Friendly URL Route 53 to Host Domain and Create Subdomains AWS Certificate Manager for SSL keys AWS Elastic Load Balancers: HTTPS Redirection Installing Nginx & Creating Configuration Files I wanted to create this post as an addition to my previous post Running R on AWS EC2 and Logging into RStudio from Anywhere to show how to secure your AWS environment.

Advantages of using Amazon’s EC2 service with R Short and Easy Installation Detailed, longer yet more flexible installation Logging in to your RStudio from anywhere Using RStudio’s system terminal to install MySQL Wrapping it all up In my previous post Databases in the Cloud: Amazon Relational Database , I reviewed some of the benefits Amazon Web Services has to offer. Amazon EC2 is just another great service offered by Amazon.

Amazon Web Services RDS with MySQL & MySQL Workbench What is Amazon RDS How to create a MySQL RDS Connecting to your RDS: Terminal + MySQL Workbench Importing local database into new RDS If you had a chance to read my post Using MySQL with R, you’ll see that I like to use MySQL to store larger datasets for open-source projects. I found myself with access issues when trying to use MySQL as the database for a shiny app that I was looking to deploy.

Using MySQL with R Benefits of a Relational Database Connecting to MySQL and reading + writing data from R Simple analysis using the tables from MySQL If you’re an R programmer, then you’ve probably crashed your R session a few times when trying to read datasets of over 2GB+. It can get a little frustrating when all you want to do is harness the true power behind R through building statistical models on these large datasets, and your session crashes with a window stating “R SESSION ABORTED”.

Conference Call Text Mining and Sentiment Analysis Executives are very careful with the language they use during a conference call Using sentiment scores to validate future / long-term goals Checking for negation words that can affect score Key takeaways from this analysis Do you ever notice when our president sends out a tweet and the markets spike/drop almost instantly, or within seconds of news going public, millions of shares are being traded based off what was said or done?

#AlpacaforR What is Alpaca and AlpacaforR Some Example Functions Implementing the Earnings Strategy Some Bonus Example Functions - Live Account Users Learn more about Alpaca and AlpacaforR Github After writing my recent post Scaling a Simple Earnings Strategy to the NASDAQ Exchange, I started to research how I could implement that earnings strategy into a live brokerage account directly from R. Most of us have heard of Quantopian or other backtesting services, but things can get complicated quickly once you search for a way to implement a live strategy using R.

#Pure Earnings Play Getting the data and writing the function Top sectors and stocks from results Beautiful plots to visualize the results Quick review How to improve the simple strategy You often hear two things when watching or reading financial news. One is earnings season, and another is quantitative trading. Most people prefer to manage their own money and pick the companies their most familiar with when making trading decisions.

IPO Estimate & Review Taking a look at LYFT financials for the first time Review of Dropbox IPO and stock performance Can the slow IPO market get a lift from LYFT? Every year, the stock market generates millionaire/billionaires daily through initial public offering or IPO. $46.8 Billion flooded the IPO markets last year, with 191 companies having their market debuts in 2018 beating 2017 by 31.

#Salesforce Q3 Update - Updated model from previous post, click here to read previous Salesforce post - Management raised top and bottom line forecasts for FY19 guidance - Management gave more details on FY20 & FY22 goals and confirmed forecasts - Near bulletproof business model during economic slowdown - Key risks to management goals - Recommendation and price targets Salesforce (CRM) carried on with its tradition of beating expectations and raising future forecasts in its most recent quarterly results.