Short Description

Integrating Market Fluent’s database into your own application is now easy! Its is ideal for investors looking for companies that meet specific criteria of value investing, based on the time-tested methods of Graham and Dodd. We provide high quality database, updated every 24 hours, contains over 4000 companies across Europe and North American. With more added all the time.

Long Description

A new, old way to invest. Value investing is based on the premise that investors can earn higher returns by purchasing assets at a discount to intrinsic value. Value investors focus on the margin of safety, buying assets at prices sufficiently below underlying value to allow for human error, exaggeration of perceived value initially, and risk.

We’ve created a software platform that grabs financial data from thousands of companies all over the globe. Our powerful algorithms then calculate if a company is growing, shrinking or neutral to see its intrinsic value. Our Margin of Safety price always provides a great advantage when looking for undervalued companies, letting investors find their next investment now.

The Market Fluent API is a unique product as it provides the end-user, even those with investment research experience, with a comprehensive source of investment data. The algorithm has been designed to take on the tedious task of generating data, leaving the investor or student to make their own analysis of the information and historic performance.

How to use API overview

Using the ticker (General Code) for a company, this endpoint will bring back all the information we hold on that business.

This includes (but not limited to):

• Sector and Industry

• Description of their business

• Website details

• The number of years worth of data we have used in our model. This will be outlined as Growth Percentage (GP) Year.
  GP Year 1 with be for the last year reported i.e. 1 year.
  GP Year 2 will normally be for the last 3 years.
  GP Year 3 will be for the last 5 years.
  GP year 4 will be for the last 7 years.
  GP year 5 will be for the last 9 years.
  If any of these timeframes are different, the output from the API will be given a number, that is the number of years that we hold data on that company. Example GP Year 5 = 8, which means we hold data for the last 8 years and that is what the model has used.

• An indication on growth percentage for the following areas of the business:

  • Equity (%)
  • Free Cash Flow (%)
  • Revenue (%)
  • Earnings per Share (EPS) (%)
  • Return on Invested Capital (ROIC) (%)

  Included is our Price to Earnings (PE) ratio and an average of the PE Ratios published online, using the most conservative figure to make our predictions and valuations.

• Our algorithm takes all of the factors mentioned above and creates the following predictions:

  • Future EPS in 10 years time (£)
  • Future Share Price in 10 years time (£)
  • A fair price for the share today (£)
  • A margin of safety price, allowing for mistakes in the valuation (£)

• The number of years debt when compared to the last know free cash flow is included for comparison of how much debt a company is holding.

Sample Request for USA Company List

>const http = require(“https”);
>const options = {
> “method”: “GET”,
> “hostname”: “market-fluent-value-investing-research-usa.p.rapidapi.com”,
> “port”: null,
> “path”: “/list/usa”,
> “headers”: {
> “x-rapidapi-host”: “market-fluent-value-investing-research-usa.p.rapidapi.com”,
> “x-rapidapi-key”: “ead933dc8cmsh8e7ebbb011c5917p157b37jsn7d5298901633”,
> “useQueryString”: true
> }
>};
>
>const req = http.request(options, function (res) {
> const chunks = [];
>
> res.on(“data”, function (chunk) {
> chunks.push(chunk);
> });
>
> res.on(“end”, function () {
> const body = Buffer.concat(chunks);
> console.log(body.toString());
> });
>});
>
>req.end();

Sample Response for USA Company List

>[12 items
>0:{2 items
>“General_Code”:“ALV”
>“General_Name”:“Autoliv Inc”
>}
>1:{2 items
>“General_Code”:“CG”
>“General_Name”:“The Carlyle Group Inc”
>}
>2:{2 items
>“General_Code”:“MMM”
>“General_Name”:“3M Company”
>}
>3:{2 items
>“General_Code”:“ABBV”
>“General_Name”:“AbbVie Inc”
>}
>4:{2 items
>“General_Code”:“IRM”
>“General_Name”:“Iron Mountain Incorporated”
>}
>5:{2 items
>“General_Code”:“ADBE”
>“General_Name”:“Adobe Inc”
>}
>6:{2 items
>“General_Code”:“AFL”
>“General_Name”:“Aflac Incorporated”
>}
>7:{2 items
>“General_Code”:“A”
>“General_Name”:“Agilent Technologies Inc”
>}
>8:{2 items
>“General_Code”:“APD”
>“General_Name”:“Air Products and Chemicals Inc”
>}
>9:{2 items
>“General_Code”:“ATI”
>“General_Name”:“Allegheny Technologies Incorporated”
>}
>10:{2 items
>“General_Code”:“ALL”
>“General_Name”:“The Allstate Corporation”
>}
>11:{2 items
>“General_Code”:“MO”
>“General_Name”:“Altria Group Inc”
>}
>]

Sample request for a USA Company Report

>const http = require(“https”);
>
>const options = {
> “method”: “GET”,
> “hostname”: “market-fluent-value-investing-research-usa.p.rapidapi.com”,
> “port”: null,
> “path”: “/markets/uk/%7Bticker%7D”,
> “headers”: {
> “x-rapidapi-host”: “market-fluent-value-investing-research-usa.p.rapidapi.com”,
> “x-rapidapi-key”: “ead933dc8cmsh8e7ebbb011c5917p157b37jsn7d5298901633”,
> “useQueryString”: true
> }
>};
>
>const req = http.request(options, function (res) {
> const chunks = [];
>
> res.on(“data”, function (chunk) {
> chunks.push(chunk);
> });
>
> res.on(“end”, function () {
> const body = Buffer.concat(chunks);
> console.log(body.toString());
> });
>});
>
>req.end();

Sample Response for a USA Company Report

>{57 items
>“General_Type”:“Common Stock”
>“General_Code”:“ALV”
>“General_Name”:“Autoliv Inc”
>“General_FiscalYearEnd”:“December”
>“General_InternationalDomestic”:“International/Domestic”
>“General_Sector”:“Consumer Cyclical”
>“General_Industry”:“Auto Parts”
>“General_GicSector”:“Consumer Discretionary”
>“General_GicGroup”:“Automobiles & Components”
>“General_GicIndustry”:“Auto Components”
>“General_GicSubIndustry”:“Auto Parts & Equipment”
>“General_Description”:“Autoliv, Inc., through its subsidiaries, develops, manufactures, and supplies automotive safety systems to the automotive industry in Europe, the Americas, China, Japan, and rest of Asia. It offers passive safety systems, including modules and components for frontal-impact airbag protection systems, side-impact airbag protection systems, seatbelts, steering wheels, inflator technologies, and battery cable cutters, as well as protection systems for road users, such as pedestrians and cyclists. The company primarily serves car manufacturers. Autoliv, Inc. was founded in 1953 and is headquartered in Stockholm, Sweden.”
>“General_WebURL”:“http://www.autoliv.com”
>“General_UpdatedAt”:“2021-11-30”
>“General_LogoURL”:"/img/logos/US/alv.png"
>“Ticker”:“ALV:NYQ”
>“Close Price”:“99.23”
>“GP Year 1”:“1”
>“GP Year 2”:“3”
>“GP Year 3”:“5”
>“GP Year 4”:“7”
>“GP Year 5”:“8”
>“Equity 1”:“14.209178835577479”
>“Equity 2”:"-15.798177852208454"
>“Equity 3”:"-6.962279504986517"
>“Equity 4”:"-6.926146460879842"
>“Equity 5”:"-5.409159868653467"
>“Free Cash Flow 1”:“221.2968849332484”
>“Free Cash Flow 2”:“11.326726645968108”
>“Free Cash Flow 3”:“12.162983813755677”
>“Free Cash Flow 4”:“1.5984190346760976”
>“Free Cash Flow 5”:“5.75168231897875”
>“Revenue 1”:"-12.871449295708748"
>“Revenue 2”:"-2.90794802390469"
>“Revenue 3”:"-4.0752098328189685"
>“Revenue 4”:"-2.3612895239053313"
>“Revenue 5”:"-1.296156820738123"
>“EPS 1”:"-59.54631379962192"
>“EPS 2”:"-31.575373264842003"
>“EPS 3”:"-16.172860612971284"
>“EPS 4”:"-11.593022112550004"
>“EPS 5”:"-10.24291130544907"
>“ROIC 1”:"-55.31465373073735"
>“ROIC 2”:"-19.282751293739608"
>“ROIC 3”:"-10.454684343579078"
>“ROIC 4”:"-10.13836377373512"
>“ROIC 5”:"-7.891920606976272"
>“Price:Earnings”:“45.0”
>“P/E ratio”:“46.36915887850467”
>“Future EPS”:“0.7262754258431499”
>“Future Share Price”:“32.68239416294174”
>“Fair Price”:“7.360546099438031”
>“MoS”:“3.6802730497190157”
>“MoSMet”:“No”
>“Graham Multiplier”:“156.8”
>“Debt Years”:“4.174119509299564”
>“Period”:“2012/12 - 2020/12”
>}