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Data serves as the foundation for quantitative trading. Having reliable, accurate, and timely data enables traders to devise and backtest strategies as well as predict how the market would react at a particular time. There are different data sources available which relevantly depend on the needs of the trader, their budget, and the trading strategy they have. This article aims at discussing the major kinds of data that may be useful in finding reputable sources of quantitative trading data.

Types of Data in Quantitative Trading

Market Data

Also known as trading data, it consists of time series data such as prices as well as volume of assets like stocks, commodities, and currencies. Essential for backtesting strategies and also monitoring and tracking the market in real time.

Fundamental Data

These include company metrics such as company financials, earnings reports, balance sheets, as well as macroeconomic indicators and estimates. Fundamental data is beneficial for basic DCF company valuations as well as long term strategies.

Alternative Data

Social media sentiment, news or even weather patterns are considered ‘alternative data’, which might be helpful for a dynamic and active trader. Alternative data can provide non traditional datasets and sources that will ultimately assist in better and more accurate forecasting.

Economic Data

Economic data sets are reports on figures such as GDP, inflation, employment and other general economic forecasting reports. These are useful in macroeconomic trend analysis and helping traders or analysts understand the global economy better.

Sentiment Data

Sentiment data which analyses common public sentiments and opinions, whether its news articles or social media posts or even forum discussions. This is often useful when building machine learning models as observations for sentiment aided trading.

Best Places to get Quant Trading Data

Market Data Provider’s

Bloomberg Terminal

This is the high source market data that is mostly historical and available in December by institutional streamline traders due to the trust and level that it contains.

Thomson Reuters Refinitiv

Data on news and market and their movements are available alongside quite adequate its robust analytics tool.

Quandl

Such information can be obtained via a variety of sources, including accounts on social networks, historical figures, alternative datasets, and financial indicators.

Stock Exchanges

National Stock Exchange of India (NSE)

This contains both historical and current records and dealings of Indian equities and derivatives products.

BSE India

Provides services relating to data for stocks contained on the Bombay Stock Exchange.

NYSE/NASDAQ

Provides traders with means of accessing the market by among other offerings APIs and data subscription to amounts of the leading US NSE platforms.

Data Aggregators and APIs

Alpha Vantage

Exchanges rates, stock market indicators and plenty of market data are some of the important services that are offered for free via their APIs.

Polygon.io

Painstakingly maintaining a record of fx, stocks and crypto is now easy as real time and historic data is at your disposal.

Yahoo Finance

Great resource for one to one prices, however, one should bear in mind that it is devoid of historical details especially price history.

Interactive Brokers

Highly qualitative data can be obtained because this brokerage is also a trading one.

Fundamental Data Sources

Morningstar

Records on mutual and stocks along with ETF’s can be sourced here with great detail sequentially.

Yahoo Finance

The site is also basic in that it has very little information about financial earnings and basic balance sheets.

Macrotrends

It covers historical fundamental as well as macroeconomic data associated with different equities in the market.

Alternative Data Providers

Sentiment Analysis Platforms

Sentiment analysis is also done in sites such as Dataminr and RavenPack that analyze social media, news, and other text data.

Satellite Data

For instance, Orbital Insight is one which offers satellite imagery for measuring supply chains and other business activity.

Web Scraping

Specific web pages can be scraped using specific tools or web platforms like Scrapy but should be compliant with laws and ethical standards.

Economic Data Sources

Various Agencies

Official reports and indicators related to economic activity are also downloaded from the official JPGs of a Reserve Bank of India and U.S. Federal Reserve.

International Organizations

Key institutions such as the IMF, World Bank, and the OECD provide access to economic files at a global level which can be used for macros.

Cryptocurrency Data

CoinGecko and CoinMarketCap

Provide current as well as past prices of different cryptocurrencies, their market capitalization, and the volume of trade.

Crypto Exchanges

Use APIs available in Binance, Coinbase as well as Kraken to access crypto trading and transaction data.

Free vs. Paid Data Sources

Free Data Sources:

Free data sources include Yahoo Finance, Alpha Vantage and NSE which are enough for basic datasets that can be used by beginner traders. Basic downside to free data sources is that they generally have poor accuracy, lack depth, and detail.

Data for Money:

Bloomberg, Refinitiv, and Quandl are among the providers that cover high-end data along with analytical features. These are best suited for institutional traders or advanced strategies, but could be cumbersome to retail traders.

Selecting the Right Data Source

Outline Your Requirements:

Are you dealing with stock market, forex, crypto currencies, or commodities?

Do you require real-time data when day trading or do you want historical data to use in back-testing?

Measure& Appraise Information Performance:

Check for accuracy, reliability and consistency. Lack of or errors in data leads to data-driven strategies that are to be flawed

Strategize Options Regarding Target Market Approach:

Basic strategies don’t require free resources, but share data for millerman quantum demographics and markets.

Check if it is Approved:

Check availability of data from a source or organization that has legality standing, or else one might face legal issues.

Disseminate on Sufficiency:

Search accommodation whereby the data source would be compatible with your trading platform or tools.

Final Remarks

There is no doubt, unless you have reliable data, say a quantitative trader, coming up with suitable basic strategies is practically impossible. Free sources are normally for beginners, but when advanced traders are active, precision and insights become crucial allowing the trader to look for premium data. It is said that the most crucial aspect is recalling the data source, to the need of the trader, where details such as cost and technical aspects are weighed in. With the quality of data sourced, clearly the decision making process will improve as consistency of making profits is enhanced proportionately.

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