To receive high-frequency data, you need access to several technical options or data sources:
Economic and financial websites: Some websites provide financial data by the second or minute, such as Bloomberg Terminal, Refinitiv Eikon, and Thomson Reuters EIKON. However, access to these resources often requires a paid subscription.
APIs and data services: There are many APIs and data services that enable high-frequency data retrieval, such as Alpha Vantage, Quandl (now Information & Action), IEX Cloud, and QuantConnect. Many of these services also provide application programming interfaces (APIs) that allow you to integrate data into your own applications.
Academic research and data banks: In the field of academic research, there are many data banks that provide high frequency data for free or at low cost, such as WRDS (Wharton Research Data Services), CRSP (Center for Research in Security Prices), and FRED (Federal Reserve Economic Data).
Before using high-frequency data, ensure that you properly understand data ownership and protection laws, along with safe implementation and compliance with applicable regulations.
What kind of data do you need and do you have any specific geographical location as a target?
Say for example, In the case of India, the govt: is officially providing the data about renewable energy and also if I'm correct Denmark is giving the data regarding renewable energy
Akhil Hayash M i need data for GAFAM indexes and US market , emerging market , europe
I can help you with this for sure, Can I have your mail or something ?
You can obtain high frequency data through various sources and methods, depending on the type of data you are looking for. Here are some common ways to get high frequency data:
1. Financial markets: If you are interested in high frequency financial data such as stock prices, currency exchange rates, or trading volumes, you can access this data through financial data providers, stock exchanges, or online trading platforms. These sources often offer real-time or near-real-time data for analysis.
2. Sensor data: High frequency sensor data, such as temperature, pressure, or humidity readings, can be collected using IoT devices, sensors, or data loggers. These devices can capture data at a high frequency and transmit it to a central database for analysis.
3. Web scraπng: You can use web scraπng tools or code to extract high frequency data from websites, social media platforms, or online forums. This data can include user activity, sentiment analysis, or other real-time information.
4. Government agencies: Some government agencies provide high frequency data related to economic indicators, weather patterns, or population demographics. You can access this data through official websites, data portals, or API services.
5. Research institutions: Academic institutions or research organizations may also provide high frequency data for specific research purposes. You can collaborate with researchers or access publicly available datasets for analysis.
Overall, obtaining high frequency data requires careful consideration of data sources, data collection methods, and data processing techniques to ensure the accuracy and reliability of the data for your analysis.
Trung Thành Anthony i need high frequency data ( per minute , per second ) for apple , amazon , google , microsoft and meta stocks.
Roua Jaballah Roua Jaballah Summary
To receive high frequency data, you can refer to some of the following ways:
Use APIs of exchanges or data providers
Buy data from data providers
Collect data directly from the exchange
Use professional trading software
Search for free data sources
High-frequency data integration technology platforms can support the efficient retrieval, processing and analysis of high-frequency data. Examples of these technology platforms include:
Kx Systems
OneTick
Streambase
InfluxDB
Apache Kafka
To use these technology platforms to retrieve, process, and analyze high-frequency data, you need to invest in hardware and software infrastructure to meet your bandwidth and processing capacity needs. big data management.
Roua Jaballah Roua Jaballah love yuo Apple, Amazon, Google (Alphabet Inc.), Microsoft và Meta
Roua Jaballah Roua Jaballah Love Anthony Trung Data on the GAFAM index (Google, Apple, Facebook, Amazon, Microsoft) and US, emerging markets, and European markets can be found through the following sources:
Roua Jaballah Data on the GAFAM index (Google, Apple, Facebook, Amazon, Microsoft) and US, emerging markets and European markets can be found through the following sources: