|Rational assessment of businesses.|
|company is a cash-generating, industry-dominating, wealth-creating powerhouse — what we call a Rule Maker.|
|We’ve identified 11 general attributes of Rule-Making companies. Part 1 covers five qualitative aspects of a business. For each of these, the scoring is simple — 1 point if the attribute is met, 0 points if it’s not. Part 2 covers six financial criteria. Since these are more objective, each is worth 2 points if met, 0 points if not. Altogether, that’s 17 possible points. Got it? If so, pick a company to analyze and let’s get started!|
|*Note* Rule Maker analysis is primarily for companies with at least $1 Billion in annual sales.|
|Part 1: Evaluating the Biz — Answer honestly! It’s either 100% yes, or else no.|
|1) Dominant Brand — Is the company the standout category king within its industry?|
|2) Repeat Purchases — Do customers return for purchase at least once a month?|
|3) Convenience — Within its industry, is the company’s product/service accessibility and convenience the best?|
|4) Expanding Possibilities — Can you answer “yes” to the following two questions?|
|a) Do your friends know about and use the product/service?|
|b) Is worldwide expansion believable for their stuff?|
|5) Your Familiarity & Interest — Are you a user of the company’s products or at least very familiar with them?|
|Part 2: Company Financials — Fill in the cells outlined in blue. The spreadsheet will crunch the numbers.|
|*Important Note* — When evaluating quarterly (10-Q) results, use the year-to-date income statement data.|
|For example, if a company is 3/4 of the way through its fiscal year, use the full 9 months of info.|
After looking at the market for a while I
couldn’t find any trend that I like. Today, before market close I
decided to place 2 swing trades; $XELA and $AAOI.
Let’s see what happens tomorrow morning or during the day.
This new strategy takes advantage of the low risk and bull trending stocks and the end of the day. There still going to be after hour traders reading the trends and potentially keep moving the stock higher.
In order to improve data quality and maximise its insight potential, the Forrester report identifies seven quality dimensions that marketers should align their data across for best results:
- Timeliness: Timely data comes from sources that are
up to date. Access to faster data enables relevant insights that meet
- Completeness: Complete data records are ones where
all expected attributes are provided. A complete customer and marketing
data set ensures that all behaviors, intentions, permissions, and
sentiments are captured for robust analysis, such as understanding
channel halo effects or how customers feel about your brand
- Consistency: Consistent data references a common
taxonomy across platforms, channels, and campaigns. Having consistent
data for things like campaign codes and customer identifiers can help
marketers speed up the data collection process and analyse trends over
time, without worrying about data being labeled correctly
- Relevance: Relevant data directly relates to the
analysis being performed. Adding a slew of data into the system won’t
help solve the business problem if it’s not relevant. Relevant data
helps answer marketing business problems, address customer behavior
questions, and make day-to-day decisions
- Transparency: Transparent data refers to data whose
sources are easy to trace and identify. Marketers who understand the
data nuances from first-party and media sources, such as ad servers,
will be able to determine if specific streams of data are necessary for
their marketing performance analysis
- Accuracy: The adage “garbage in, garbage out” has
never been more relevant in today’s data-rich world. Only accurate data
can reflect true actions
- Representativeness: An important part of targeting, representativeness ensures data collected and leveraged for insights accurately reflects the marketplace or an advertiser’s target audience
Hey HackerHipster, are you ready to sling shoot into that moving green SMA?
After hitting 52 week lowest point $UGAZ is readyt to boom back for winter. Winter is here.
The RSI is way oversold and the MACD is about to turn around to bullish. We are doing a red to green move here. I’m expecting to see at least $13 on $UGAZ in the next 2 weeks.
- Find the best seller by looking at the sales volume on each category
- Clean the html
- Find UPC number for item
Candlestick charts are a technical tool that pack data for multiple time frames into single price bars. This makes them more useful than traditional open-high, low-close bars (OHLC) or simple lines that connect the dots of closing prices. Candlesticks build patterns that predict price direction once completed. Proper color coding adds depth to this colorful technical tool, which dates back to 18th century Japanese rice traders.
Study these pattern to learn when to start looking at the potential resistance or support levels indicated by a retracement Fibonacci scale.
Data Science Tutorial
- Pivot Tables
- VBA Scripting
- Introduction to Modeling
- Python 3
- Social Media Mining
- API Interactions
Business Intelligence Software • Tableau
Advanced Topics • Big Data Analytics with Hadoop • Machine Learning
It wasn’t my first time, I have done this before. This time was different. My heart fell almost to the floor. Crypto is falling.
Back in 2017 I was one of those newbies who invested in bitcoin during the 20k bullrun. It felt magical. The math behind percentages and group psychology completily got my curious mind.
Yes, earlier in 2018 I realized it was too late to learn about market cycles and stop loss. Almost a year later I learned about shorting and then I realized … we all behave like waves.
Are we really mini waves that materialized at this micro levels of existance compare to the universe? We are the children of a big bang after all.
- Passioned about data and statistics?
- Do you spend time imagining how best to visualize data? Are you dedicated to transforming data into information, information into knowledge, and knowledge into informed action?
- Data analyst to help transform raw performance data into intelligible information that can be used to improve your business processes
- The data analyst gathers information from various sources, and interpret patterns and trends.
- Responsible for reporting information in ways that it can be assimilated quickly and effectively
- Dedicated to helping customers win and maintain contracts
- Focus is on implementing, monitoring and reporting customers’ green, sustainable business-management practices
- Acquiring and “scrubbing” data from primary and secondary data sources
- Interpreting data and analyzing results using statistical techniques
- Developed analysis and reporting capabilities; providing on-going reports and developing new reports as needed
- Identify, analyze, and interprete trends and patterns in complex data sets
- Researching performance analytics from related businesses and industries
- Worked with management to prioritize business and information needs
- Identify and implement process improvement opportunities
- Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy
- Technical expertise regarding data models, data mining and data segmentation techniques
- Strong knowledge of Microsoft SQL and experience with one or more reporting packages
- Highly skilled in the use of the Microsoft Office suite of applications
- Self-motivated and detail oriented; excellent organizational and time-management skills with a proven ability to complete projects on a deadline
- Demonstrated aptitude for proactive problem-solving
- Excellent oral and written communication skills
- Collaborative working style with a “can do” attitude
$MBRX got some volume this morning after News were released. Noticing the chart was about to move, based on Volume, I decided to take a trade and made 42.84%.This Robinhood account will be my practice account which I plan to grow to a $1 million dollars.