China Retail Investor Sentiment - Funds | Alternative Data | Daily Update | ETFs | 23000+ Funds product image in hero

China Retail Investor Sentiment - Funds | Alternative Data | Daily Update | ETFs | 23000+ Funds

Data Samples
#
fund_id
fund_type_id
pub_date
read_neg_sum
reply_neg_sum
post_neg_sum
user_neg
user_avg_bar_age_neg
read_neu_sum
reply_neu_sum
post_neu_sum
user_neu
user_avg_bar_age_neu
read_pos_sum
reply_pos_sum
post_pos_sum
user_pos
user_avg_bar_age_pos
read_all_sum
reply_all_sum
post_all_sum
user_all
user_avg_bar_age_all
senti_score_div
senti_score_log
senti_conform
delivery_time
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx
2 xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx
3 xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx
4 Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx
5 xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx xxxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx xxxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxx xxxxxxxx
6 Xxxxxxxx Xxxxxxxx xxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxx Xxxxx Xxxxxxx Xxxxx Xxxxxx Xxxxx Xxxxxxxxx xxxxxx xxxxxxxx Xxxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxx Xxxxxxx xxxxxxxxx Xxxxx
7 xxxxx Xxxxxx xxxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxx Xxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxx
8 xxxxx Xxxxxx xxxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxxx Xxxxx Xxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx xxxxxxxxxx xxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx
9 xxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx Xxxxx xxxxxxx xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxxxx Xxxxxxxx xxxxx xxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxxx xxxxxxx Xxxxx xxxxxxxxx xxxxxxxx
10 Xxxxxxxx xxxxxxxx Xxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxx Xxxxx Xxxxx Xxxxx Xxxxxxx xxxxx xxxxxxxxx xxxxxxx Xxxxxxx xxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxxxxx Xxxxx
... xxxxxxx Xxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxx Xxxxxxx xxxxxxxx xxxxx Xxxxx Xxxxxxxx xxxxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxxxx
Sign In To Preview Data
#
post_id
user_id
fund_id
fund_type_id
post_time
post_location
sentiment
char_count
chinese_char_count
emoji_count
delivery_time
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx
2 Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx
3 xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx
4 xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx
5 Xxxxx Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx
6 Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx
7 xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx
8 Xxxxxxx xxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx
9 Xxxxxxxxx xxxxx Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx
10 xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx
... xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx xxxxxxxxx
Sign In To Preview Data
Volume
23K
Funds
Avail. Formats
.json and .csv
File
Coverage
1
Country
History
15
years

Data Dictionary

[Sample] GACRIS-Fund-V1_natural_day_basic_stat.csv
Attribute Type Example Mapping
fund_id
Integer 1
fund_type_id
Integer 52
pub_date
DateTime 2024-03-01T00:00:00+00:00
read_neg_sum
Integer 0
reply_neg_sum
Integer 0
post_neg_sum
Integer 0
user_neg
Integer 0
user_avg_bar_age_neg
Integer 0
read_neu_sum
Integer 0
reply_neu_sum
Integer 0
post_neu_sum
Integer 0
user_neu
Integer 0
user_avg_bar_age_neu
Integer 0
read_pos_sum
Integer 947
reply_pos_sum
Integer 1
post_pos_sum
Integer 3
user_pos
Integer 3
user_avg_bar_age_pos
Integer 1935
read_all_sum
Integer 947
reply_all_sum
Integer 1
post_all_sum
Integer 3
user_all
Integer 3
user_avg_bar_age_all
Integer 1935
senti_score_div
Float 1.0
senti_score_log
Float 1.38629
senti_conform
Float 1.0
delivery_time
DateTime 2024-03-02T02:00:00+00:00
[Sample] GACRIS-Fund-V1_post_info.csv
Attribute Type Example Mapping
post_id
String 518f36c2df14a8c6
user_id
String 414b3f085bf6a847
fund_id
Float 2418.0
fund_type_id
Integer 52
post_time
DateTime 2024-03-01T00:00:05+00:00
post_location
Float
sentiment
Integer -1
char_count
Integer 43
chinese_char_count
Integer 21
emoji_count
Integer 0
delivery_time
DateTime 2024-03-02T02:00:00+00:00

Description

Gain insights into the interest and sentiment of China-based funds and ETFs by analyzing data from leading local financial social media platforms. This dataset offers sentiment analytics and hotness metrics across 23,000+ funds and 1,000+ ETFs to identify trends and market sentiment effectively.
China's public fund industry has experienced rapid expansion, marked by heightened market activity and increasing investor participation. As of September 2024, the sector serves over 700 million investors and manages assets totaling 32 trillion yuan. The growing awareness of wealth management has led to a surge in retail investor involvement, with fund allocations becoming more diversified. GACRIS-fund is designed to analyze and interpret retail investor sentiment within this dynamic market. Leveraging proprietary NLP models optimized for Chinese financial social media, the dataset extracts valuable insights from discussions on Guba’s fund forum. By systematically processing vast amounts of investor discourse, GACRIS-fund captures sentiment trends and fund popularity on a daily basis while providing detailed analytics on individual posts and user profiles. By decoding investor sentiment through social media interactions, GACRIS-fund offers financial professionals, fund managers, and researchers a comprehensive view of retail investor behavior. Through its real-time tracking of sentiment shifts, the dataset serves as a valuable tool for understanding market dynamics and informing investment strategies in China’s fast-evolving fund industry. • Coverage: 23000+ funds across 32 categories, including 1000+ ETFs • History: From 2010-05-12 • Update Frequency: Daily

Country Coverage

Asia (1)
China

History

15 years of historical data

Volume

23,000 Funds
1,000 ETF

Pricing

Datago Technology Limited has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Frequency
daily
Format
.json
.csv

Use Cases

Systematic Trading
Quantitative Investing
Alternative Investment
Financial Data Enrichment

Categories

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Frequently asked questions

What is China Retail Investor Sentiment - Funds Alternative Data Daily Update ETFs 23000+ Funds?

Gain insights into the interest and sentiment of China-based funds and ETFs by analyzing data from leading local financial social media platforms. This dataset offers sentiment analytics and hotness metrics across 23,000+ funds and 1,000+ ETFs to identify trends and market sentiment effectively.

What is China Retail Investor Sentiment - Funds Alternative Data Daily Update ETFs 23000+ Funds used for?

This product has 4 key use cases. Datago Technology Limited recommends using the data for Systematic Trading, Quantitative Investing, Alternative Investment, and Financial Data Enrichment. Global businesses and organizations buy Alternative Data from Datago Technology Limited to fuel their analytics and enrichment.

Who can use China Retail Investor Sentiment - Funds Alternative Data Daily Update ETFs 23000+ Funds?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Alternative Data. Get in touch with Datago Technology Limited to see what their data can do for your business and find out which integrations they provide.

How far back does the data in China Retail Investor Sentiment - Funds Alternative Data Daily Update ETFs 23000+ Funds go?

This product has 15 years of historical coverage. It can be delivered on a daily basis.

Which countries does China Retail Investor Sentiment - Funds Alternative Data Daily Update ETFs 23000+ Funds cover?

This product includes data covering 1 country like China. Datago Technology Limited is headquartered in Hong Kong.

How much does China Retail Investor Sentiment - Funds Alternative Data Daily Update ETFs 23000+ Funds cost?

Pricing information for China Retail Investor Sentiment - Funds Alternative Data Daily Update ETFs 23000+ Funds is available by getting in contact with Datago Technology Limited. Connect with Datago Technology Limited to get a quote and arrange custom pricing models based on your data requirements.

How can I get China Retail Investor Sentiment - Funds Alternative Data Daily Update ETFs 23000+ Funds?

Businesses can buy Alternative Data from Datago Technology Limited and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, Datago Technology Limited can deliver this product in .json and .csv format.

What is the data quality of China Retail Investor Sentiment - Funds Alternative Data Daily Update ETFs 23000+ Funds?

You can compare and assess the data quality of Datago Technology Limited using Datarade’s data marketplace.

What are similar products to China Retail Investor Sentiment - Funds Alternative Data Daily Update ETFs 23000+ Funds?

This product has 3 related products. These alternatives include Alternative Data Social Media-Based Insights on 800M+ Professionals & Companies for VC, Hedge Funds & Investment Analysis, PredSearch Alternative Data, Hedge Funds Data, Stock Market Data, Investors Data Consumer Stocks Signal Global coverage 100+ Tickers, and China Retail Investor Sentiment Analytics Alternative Data Social Media China, Hong Kong, US stocks Intra-day Update. You can compare the best Alternative Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request