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computer science

Money.Net

Money.Net is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Money.Net rather than just read about it. In short: Money.Net Inc is a privately held financial data technology company and financial data vendor based in New York City. History Money.Net provides real-time live streaming financial market information such as prices, breaking financial news, technical analysis charts, trade idea generation tools, and a spreadsheet API over the internet to individual traders and institutional trading floors.

Key takeaways

  • Money.Net belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Money.Net to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Money.Net from memory before moving on to harder problems.

Reference excerpt

Money.Net Inc is a privately held financial data technology company and financial data vendor based in New York City.

History Money.Net provides real-time live streaming financial market information such as prices, breaking financial news, technical analysis charts, trade idea generation tools, and a spreadsheet API over the internet to individual traders and institutional trading floors. The product coverage is global, and is multi-asset class, including equities, fixed income, foreign exchange and commodities. It also includes reference fundamental market data such as economic statistics and corporate actions. The Money.Net product provides "access to real-time market data and trends for a sliver of what" traditional market data terminals cost. Money.Net is a cloud-based platform for market data. According to current CEO Morgan Downey, Money.Net has about 50,000 paying subscribers. It is one of the several cloud-based Financial Technology (FinTech) companies challenging dominant vendors in financial markets. The product is available as a desktop application, via mobile devices, and through an excel spreadsheet API. In late 2016, the company announced that it had hired former Bloomberg Chief Content Officer, Norman Pearlstine, to develop a new financial news division relying heavily on artificial intelligence.

See also

Eikon Bloomberg Terminal Financial market Financial technology Market data Stock market

References

External links Official website

Worked examples

Example 1 — a first encounter with Money.Net

Start with the simplest possible case. Write down what Money.Net claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Money.Net before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Money.Net ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Money.Net

In research
Money.Net appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Money.Net in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Money.Net is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1999 establishments in New York (state), Business software, Companies based in Manhattan, so understanding it makes those chapters shorter.
In everyday life
Look for Money.Net outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Money.Net in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Money.Net means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Money.Net out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Money.Net in simple terms?

Money.Net Inc is a privately held financial data technology company and financial data vendor based in New York City. History Money.Net provides real-time live streaming financial market information such as prices, breaking financial news, technical analysis charts, trade idea generation tools, and…

Why does Money.Net matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Money.Net?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Money.Net.

Tags

  • 1999 establishments in New York (state)
  • Business software
  • Companies based in Manhattan
  • Financial data vendors
  • Financial services companies established in 1999
  • Financial software
  • History of telecommunications
  • Market data
  • Privately held companies based in New York City
  • Technical analysis software

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