Quandl trabalhos

...interested in, then click on the "Historical Data" tab. You can then specify the time period and frequency (daily, weekly, monthly) of the data you want. The data can be downloaded in CSV format. Google Finance: Similar to Yahoo, Google Finance also provides historical data for various indices. You can search for the index, then click on the "Historical prices" link to access the data. Quandl: Quandl is another source of financial, economic, and alternative data that delivers usable data into the hands of investment professionals. It offers both free and premium data feeds. Eikon: Eikon, by Refinitiv (formerly Thomson Reuters), provides a wide range of financial data including historical index data. : This website provides historical data for a va...

Hello Freelancers! I am looking for a Data Engineer that can create a data cloud environment from start to finish. Objective: Pull Real Estate Financial Data from Quandl API to store in cloud on an automated basis. End-Use case for this data will be to run AI analysis on Jupyter Notebook, publish on website, and create BI visualizations. Tasks: Automatically pull data (Daily, Weekly, Monthly, Quarterly and Yearly basis depending on the data set) from an API using Python. Goal is to store this data in a data warehouse in which you will setup and create. This data warehouse can be Snowflake, AWS, or Google Cloud which ever one is most cost effective and easy to use. Data API Source: I am a data engineer that wants to explore RE data but

...get data from is 1 September, 2019 and the end date is today. The fist Python script is doing the same thing as the second script just with a different API. The data should be saved to a CSV file. The format of the output in the CSV file has been attached below. The first and most important API is the Quandl API which I have posted the link below. You can use any other API for the second one. Quandl Link for commodities data - Quandl Link for Currencies data - Pease find below the commodities and FX rates that you will be working with. Copper Commodity Platinum Commodity Palladium Commodity Gold Commodity

Would like to work with some of the below tasks, initially pairing to outline and make progress on the work, and potentially handing off some of the work to be completed solo. Many subprojects available in setting up financial data for training predictive models: ingest from an api company fundamentals (from finnhub, first checking if licensing from quandl makes more sense) ingest price data (from rar files) for a frontier market and stage on s3 (set up and run AWS Batch job to unrar/unzip many files; validate data quality) port price data featurization code from pandas to pyspark set up pyspark job on databricks to run the featurization code build a streamlit app to display how stocks respond to significan stock-related news and so on...

Would like to work with some of the below tasks, initially pairing to outline and make progress on the work, and potentially handing off some of the work to be completed solo. Many subprojects available in setting up financial data for training predictive models: ingest from an api company fundamentals (from finnhub, first checking if licensing from quandl makes more sense) ingest price data (from rar files) for a frontier market and stage on s3 (set up and run AWS Batch job to unrar/unzip many files; validate data quality) port price data featurization code from pandas to pyspark set up pyspark job on databricks to run the featurization code build a streamlit app to display how stocks respond to significan stock-related news and so on...

help me find someone who has stock market knowledge n is expert vba -Other languages such as python R matlab also welcome 1. Extract stock OHLC +volume data for any number of any globally listed stock 2. Fix missing data taking t-1 data as reference 3. Apply all critical technical indicators on it with adjustable parameters (in master configuration table) 4. For NSE india market ,download orde...3. Apply all critical technical indicators on it with adjustable parameters (in master configuration table) 4. For NSE india market ,download order book (real time) bid-ask data for selected stocks 1. This project has to be bit interactive n driven by spreadsheet eventually. Backend can be vba or any other coding language. 2. Code will be owned by me. 3. Source of data can be any yahoo google ...

I need a Quandl/Sharadar API developer to pull from the Sharadar database that contains the open, high, low, close, volume and dividend data those stocks that have had the quickest recovery time from the close before the dividend to the day in which the daily high is greater than that close. I would like to further screen the stocks by stock price, daily trading volume, and dividend yield.

need help on stock market price prediction data using python from yahoo quandl

...python so I can adjust and modify the scripts as necessary. This would be the first of several projects that would be part of an automated trading system. I want to setup a custom back testing module specifically written in python. The backtesting will produce results of technical indicator signals that generated buy/close, short/close trades using historical data from Yahoo, Alpha Vantage or Quandl. The technical indicators will be an RSI with a Bollinger Band overlay and a PMO (Price Momentum Oscillator) also with a Bollinger Band overlay and I want to be able to specify the timeframe and the ticker that will generate the signal. Once the trade signal is generated, I want the trading module to select from a portfolio of tickers that I specify. For the results, I would like t...

Hi Aadhunik S., I noticed your profile and would like to offer you my project. I'm looking for an already build solution database solution for import and export of data. I'm using Zipline and later planing to use Backtrader. I need a database and code in python to collect data from Yahoo, Quandl, https://eodhistoricaldata.com. As database, I'm actually using MySql community solution. I'm looking for time series price data and fundamental data as well. Then the data should be ingested into Zipline and/or backtrader. As I'm just starting I don't have exactly the final set up. At the moment I would make sense to start with an already build solution and later individualize. Do you have already something ready to use which you would suggest? Thanks and ...

two parts: 1) there is a data problem in zipline quandl - i need it resolved or understand why there is an issue 2) take standard Turtle code and apply to btcusd and xrpusd, both daily and hourly and run portfolio backtests in both zipline/python and quantopian (same strat/markets but two different environments)

project,in two parts, consists of debugging two separate PCs re zipline/anaconda/quandl given a set backtest code

I need an experienced python/anaconda3/zipline/quandl developer to troubleshoot environement. I have 2 laptops which both returns issues when setting up - but different issues despite following same installation procedures.

I need to load stock market historical data as well as daily data from at least five free sources such as Quandl, Bloomberg, Thomson Reuters or FactSet. The project will be awarded to the candidate who has done similar projects before The data should be stored in a database that lists the Datasource, region, country, exchange name, index name, stock name, stock nature (IT, pharma, ...), stock description, open price, close price, highest price, lowest price in addition to any other fields provided by the APIs. The data should be stored in a PostgreSQL database and it should be displayed on web interface as a chart that will be displayed according to a set of drop-down lists (region, country, index, industry, stock, start date, end date). The data sources and the list of exc...

I need you to develop some software for me. I would like this software to be developed for Windows using Python. the string created by you must be bringing all the data i need ready and use a module similar to quandl to make it ready for me to work on that data. for instance, Project is very similar actually to getting price data regularly from bitcoin and then making it meaningful. Price will be negotiable and iwill gove all the details to my shortlist.

...that has experience in financial/economic modeling and machine learning. Please, DO NOT apply if this is not the case. Some of the details are below: Data and sources will be provided to create a leading indicator for both U.S. growth and inflation which will then be overlaid with U.S. GDP (growth indicator) and U.S. headline CPI (inflation indicator). Must be able to pull data from FRED and Quandl. Each will have to auto-populate as data is released. Each indicator will include a 3 month advancement (forecast). - Random Forest - Rank data within the respective basket by using first difference in the change of the factor versus the first difference in the change of real GDP (for growth expectations) and headline CPI (for inflation expectations). - Layer integration filte...

r studio program need to be done ASAP check the course work . it is 2 part first part you will be working in one risk factor 1 assets , the second part 2 portfolio assets 2 risk factor you will be working on 2 data set i suggest you work on stock market . there...containing the data on the two assets. The easiest way is probably to use an .rds file. So if your bivariate data is in a variable called dat, then saveRDS(dat, '') will save your data to a file called mydata.rds. Other sensible choices are also acceptable (.csv for instance). If the code in your R script file accesses data directly from external sources (eg via the quantmod package, or quandl, or dropbox) there is no need to upload your data files as part of this submission, so you can ignore instructio...

I am considering integrating Quandl data into my website and I have a few questions about that process. I'd like to find someone who has some experience doing that.

A trading strategy needs to be coded in excel fully. The developer needs to: 1. Be able to Download closing prices of stocks (NSE-India stocks) from the available sources online (in a fast and efficient manner) 2. Perform calculations in excel and ranking stocks based on that 3. Be excellent at excel VBA, macros 4. Be able to come with a clean and efficient method of running the macro...fast and efficient manner) 2. Perform calculations in excel and ranking stocks based on that 3. Be excellent at excel VBA, macros 4. Be able to come with a clean and efficient method of running the macro everyday so that the excel functions in the least time. Essential is Excel VBA & Macro To be able to download stock prices automatically through the macro Optional is Be able to / have used Q...

I have an simple R script with an loop. That loop is reading an csv file () and using that data to download data from Quandl and is making some calculations and an export of the data. Now I extend the csv with an new column (first one) and I want that the program is using that data on the export. And please make that column to the first one on the export (Ticker, Date, Data...).

I am an newbie on R and I need an programmer, who can upgrade my ARIMA R-Example. At the moment the example is only reading an CSV with the stock prices of one ticker and based on that data it calculates the seasonal and an forecast. Now I want to change the source to Quandl and add an loop over more tickers. At the end, the program must export the data. I prefer only one file for each type of calculation (, )

I need a Wikipedia page written about Barchart. Barchart is a provider of market data and services to the global financial, media, and commodity industries. We have different brands that we would want to be included that can be found here: We would like our Wikipedia page to be similar to one like this:

I need a python program(s) to download end-of-day data last 25 years the major global stock market indices from Google Finance, Yahoo Finance, Quandl, CityFALCON, or another similar source. I will share the details with selected people.

Project Outline 1. Write a python program(s) to download end-of-day data last 25 years the major global stock market indices from Google Finance, Yahoo Finance, Quandl, CityFALCON, or another similar source. 2. It is a common assumption in quantitative finance that stock returns follow a normal distribution whereas prices follow a lognormal distribution For all these indices check how closely price movements followed a log-normal distribution. 3. Verify whether returns from these broad market indices followed a normal distribution? 4. For each of the above two parameters (price movements and stock returns) come up with specific statistical measures that clearly identify the degree of deviation from the ideal distributions. Graphically represent the degree of correspondence. 5. One o...

Project Outline 1. Write a python program(s) to download end-of-day data last 25 years the major global stock market indices from Google Finance, Yahoo Finance, Quandl, CityFALCON, or another similar source. is a common assumption in quantitative finance that stock returns follow a normal distribution whereas prices follow a lognormal distribution For all these indices check how closely price movements followed a log-normal distribution. whether returns from these broad market indices followed a normal distribution? For each of the above two parameters (price movements and stock returns) come up with specific statistical measures that clearly identify the degree of deviation from the ideal distributions. Graphically represent the degree of correspondence. of the most

Project Outline Write a python program that prompts the user to choose any five stock exchanges of the world (whose data is available on Google Finance, Yahoo Finance, Quandl, CityFALCON, or another similar source. For each such market, let the program automatically choose the relevant Market Index (say S&P500 for USA, CNXNIFTY for India, HANGSENG Index for Hong Kong etc) Download data for the last 10 years for each of the Indices. Calculate Correlation Coefficients of monthly returns between each pair of indices Plot the results in a suitable graphical format that represents the trends in the data and their interdependence

1. Write a python program that prompts the user to choose any five stock exchanges of the world (whose data is available on Google Finance, Yahoo Finance, Quandl, CityFALCON, or another similar source. each such market, let the program automatically choose the relevant Market Index (say S&P500 for USA, CNXNIFTY for India, HANGSENG Index for Hong Kong etc) 2. Download data for the last 10 years for each of the Indices. Correlation Coefficients of monthly returns between each pair of indices Plot the results in a suitable graphical format that represents the trends in the data and their interdependence Note: The submitted code should constitute a fully workable version. All relevant module import statement should be part of the code. Students are encouraged to avoid usage

download database 1 into excel 2010 - using quandl, if item in database 1 is in database 2 bring select data from database 2 into database 1 - routine to be repeated daily

I am looking for a Cloud Architect to build a Proof of Concept (PoC) of a web app to visualize custom indicators of financial time-series data, using a serverless Azure implementation. Below is a desirable architecture. - Data Source: Historical and real-time quotes from financial API platforms such as Oanda, Quandl, Alpha Vantage, IEX, IB, CCXT, CoinAPI, etc. - Database: I am considering Azure Cosmos DB and its Table API, but I am open to other suggestions, if they meet the following requirements: a) serverless implementation, b) working well with column based time-series data, c) fast performance for real-time or near real-time data (e.g., 1-5 seconds interval), d) high scalability (for big data and many concurrent queries), e) ability to be hosted and distributed across ...

Looking for a developer to build a C# console application to connect to the Quandl API. The application will: 1) download historical data and 2) download the newest data (end of day data on a go-forward basis). 3) This data will then be formatted and put into a MySQL table. Project code should be documented and clean to understand. The application should be easily expandable to add more data sets at future dates. Program needs to download data sets from multiple classes including Futures, Currencies and Internet Rates. See datasets below: Datasets: API:

...stock price using the Dividend Discount Model • D0 = 100 (dividend value) • g = 2% (the constant growth rate in perpetuity expected for dividends) • r = 4% (the constant cost of equity capital for the company) 2. Single-Index Pricing Model Implement the Single-Index Model for pricing IBM stock. • Data source: Download data from an appropriate financial website such as Google Finance, Yahoo Finance, Quandl, CityFALCON, or another similar source. • Software used for analysis: Excel • Market index considered in the analysis: S&P 500 • Comment the results 3. Black-Scholes Model Implement Black-Scholes Model for pricing an option on commodity futures. F = 49 USD (forward Central Appalachia coal price per short ton) X = 49 USD (exercise price) ...

I need a developer to help build a mini program, it needs to be able to 1) Automatically fetch end-of-day data from various open sources through available APIs (such as Yahoo Finance, Google Finance, Quandl, etc...) and store in an Azure SQL database 2) Automatically calculate technical analysis indicators, such as SMA, RSI, MACD, etc...(around 30 - 50 indicators) and store in an Azure SQL database

Require a web plug in (preferably written in HTML 5 such that it can work on mobile platform as well) to show financial informatio...well) to show financial information of major currencies (ex. USD, EUR, JPY, GBP etc) such as the current price, historical chart, financial news etc. I've already built a model for Chinese Yen rate prediction using ML and therefore need a UI representation of the data and the application needs to have a page that shows the prediction taking into account real time data from the API calls from Quandl/AlphaVantage etc. This is a basic financial application whose major function is to just provide a good aesthetic UI to the whole data. I've also come up with a lo-fi mock up of what the application UI needs to look like which we can discuss...

...One of these has 3 VMs to deploy the components of the differents softwares we use, to keep it organisaed and safe. The job is: - To review and update the components installation. - To build some routine queries to aggregate and store live data into InfluxDB. This is made through AlgoTrader (the script should not be long as it's just about writing the queries' code). The data sources are Quandl (), IB (http://interactivebrokers.github.io/tws-api/#gsc.tab=0). Most of the necessary tools to do so, including API, are already implemented in AlgoTrader. - To build same routine queries for historical data download and storage. Most of the necessary tools to do so, including API, are already implemented in AlgoTrader. - To write a very small strategy sending orders

PROJECT DESCRIPTION Software needs to extract live data from It's a live data stream that presents financial data for companies. As a result, the software needs to present data on a screen. We create sample images and show how the data need to be presented. Quandl Charts need to be presented.

Received fatal alert: handshake_failure (OpenSSL::SSL::SSLError)  org/jruby/ext/openssl/:in , With one of my endpoint trying to pull data from Quandl site . Need some resolution on this

I need you to fill in a spreadsheet with data. I want to upload all stock and commodity data from quandl and apply yearly pivots to pricing. From here I would like to create alerts as to when a price enters a certain distant from pivot of choice

I need Quandl API code to be created which fetch data from local or web database and then our clients can subscribe that code for fetching the data.

Timing: Need this project completed in less than 2 days. Opportunity for bidder: I will be posting more projects related to this project. Purpose: To analyze historical CL and NG prices, returns, correlation and respective visualizations from the CME database. Programs/skills/resources required: Quandl, Python, Numpy, Matplotlib, Seaborne To do: • Import module o Import into python prices from for the following securities  SCF/CME_CL1 _FW  SCF/CME_CL2_FW  SCF/CME_CL3 _FW  SCF/CME_CL4_FW  SCF/CME_CL5_FW  SCF/CME_CL6_FW  SCF/CME_CL7_FW  SCF/CME_CL8 _FW  SCF/CME_CL9 _FW  SCF/CME_NG1 _FW  SCF/CME_NG2_FW  SCF/CME_NG3 _FW  SCF/CME_NG4_FW  SCF/CME_NG5_FW  SCF/CME_NG6_FW  SCF/CME_NG7_FW  SCF/CME_NG8 _FW  SCF/CME_NG9 _FW

Datasource; Quandl Objective; I need a deliverable whereby I can extract stock information (i.e. price and volume) and economic data on countries. I want to be able to choose the different stocks and economic datasets I need. I need a clean dataset that matches over time, I need it in a standardised theme for the dataset and graphical representation as well.

Please check my site based on site based on I want to create some feature based on like 1. trending stocks based on hashtag status 2. pages for every symbol based on stock code ( admin able to add the stock code by himself in the future), grab the interactive chart from tradingview and quandl :YAHOO/JK_UNVR&style=3&interval=D So you just need to build dashboard to auto generate data from trading view, thats the fastest way so you dont need to copy one by one

...extract some data from a quandl dataset to run it through an API (hosted on azure), as well as two other tests (one preprogrammed benford's law test and a calculation test). After this the results will need to be logged for each company and we'll then apply a filter based on the results, after which we'll extract some data for graphing. The idea is for instance, index the sales of all companies, and then the sales of all companies scoring below 50 on the API test etc. All the tests on the other side of the API are ready to go, so what we need help with is handling the quandl data and batching the job, logging the results and extracting the data. All code should be in python and submitted with the the end of the project. previous experience handl...

Create a simple Custom Function for Google Sheets using Javascript that fetches data from an API (Quandl). Not much more that a concatenation function 1 - is a financial data service that enables queries using and API The API is described here: 2 - We use the quandle API to fetch data in csv format for further use in Google Sheets. Params of the API are: API key order, start_date / end_date column_index rows xclude_column_names collapse transform 3 - In Google Sheets we use the Importdata() function to get the csv data into google sheets. It looks like this: '=importdata("

...Microsoft stock will appear because MSFT is the ticker and GL is the function for graph line. If a user types "MSFT GC" a candle chart will appear. Overall Architecture * Use React as the Javascript framework to design the interaction between the command box and the charting component * The charting component should be created using d3 or one of its libraries like NVD3 * Incorporate Quandl free API as the data source for the data Command Bar * Allow auto complete feature. For example, if user starts typing "Micro", the auto complete will show "Microsofot MSFT" as one of the options. * The ranking of the autocomplete list should be based on marketcap. For example, if user starts to type "Micro", the autocomplete ...

I want to download daily Open-High-Low-Close data for hundreds of stocks ten years back. offers that data in ASCII/.csv format. My platform, Multicharts, maps and imports it. The problem: Multicharts expects each instrument to be in a separate .csv file with the instrument name as the file name. Quandl offers the data for all instrumetns in many columns beside each other in one .csv file, with the symbol names in the header. You must write a macro that picks one file with many instrumets apart and saves it as seperate files for each.

I would like you to gather information from Quandl based off the ticker symbol and graph it. See attachment.

Using the Quandl API, retrieve financial data and display it in charts and graphs within a sizable div. Full description attached.

Using the Quandl API, retrieve and display information in charts and graphs format. Dealing with financial data. Must be resize as the div resizes. All PHP and API code must be within the DIV.

Please be informed that you need to understand GERMAN, because all documentation is written in GERMAN!! Aufgaben: - Anbindung an Datenquelle Quandl mit R-Programmierung - Aktualisierung der Performanceberechnung (bestehendes Skript anpassen) - Implementation der Long Strategie (bestehende R-Skript anpassen) - Automatisierung, Fehlermeldung der täglichen Produktion (Server) - Installation SMTP Server - Installation/Betrieb EC2/ Serverinstanz - Übergabe/ Einführung/ Bedienung der Software Mehr Informationen werden folgen.

Troubleshooting with Quandl Excel API / Add-in for MAC is a website gathering financial and economic data. Quandl has developed an API and an excel an add-in enabling the download of data into excel using an interface or excel vba functions. Information on the excel add-in here: I'm having difficulties to get this working on my system and would need some help to get this working. My system: Mac OS X Yosemite 10.10.4 / Excel for Mac 2011