Hanli Finance Official Discord Community Launches, Investor Contact Channels Expanded

Hanli Finance Official Discord Community Launches, Investor Contact Channels Expanded

Summary: Hanli Finance announces the official launch of its Discord community, offering US stock investors a new channel for real-time communication and expert Q&A, further enriching contact methods and enhancing service experience.

On July 28, 2026, Hanli Finance (SeaDivi Finance), a financial information provider focused on US stock investments, announced the official launch of its Discord community as a new component of its "Contact Us" system. The community will be open to all US stock investors, offering real-time interaction, expert Q&A, and strategy sharing, marking another innovative step in Hanli Finance's customer service.

Community Features: More Than Just Communication

The Hanli Finance Discord community features multiple themed channels, including market hot topics discussion, individual stock analysis, technical indicator interpretation, and beginner guidance. Investors can choose to join based on their needs and communicate in real time with peers and the Hanli analysis team. Additionally, the community has an "Analysts Online" channel where senior Hanli analysts regularly host sessions to answer questions about US stock investment strategies, earnings report interpretation, risk management, and more.

Notably, this community is not a traditional one-way customer service channel but a two-way interactive knowledge-sharing platform. According to Hanli Finance's Product Manager: "We hope to transform the process of contacting us from 'ask and answer' to 'co-explore' through the Discord community. Investors can not only quickly get official support but also draw inspiration from other users' experiences."

Why Choose Discord?

Discord, as a globally popular instant messaging and community platform, has a broad user base in finance, gaming, technology, and other fields. Hanli Finance's CTO stated: "Discord's server architecture supports high-concurrency real-time conversations and comes with rich bot plugins, making it ideal for building an automated Q&A and human service hybrid system. Moreover, Discord's community culture emphasizes equality and mutual assistance, which aligns well with Hanli Finance's philosophy of 'growing together with investors'."

In fact, Hanli Finance conducted a three-month user survey before the decision. Data showed that over 65% of surveyed US stock investors expressed a desire for an official channel to "communicate instantly with other investors," while traditional email or ticket systems often have response delays. The launch of the Discord community is a direct response to this demand.

Service Upgrade: Multi-Channel System Formed

With the launch of the Discord community, Hanli Finance's "Contact Us" system has formed a multidimensional matrix covering official website live chat, email support, phone hotline, social media (such as Twitter and WeChat Official Account), and the Discord community. Each channel has a different focus: the official website live chat is suitable for quickly resolving account issues; the phone hotline handles emergencies; the community is better for strategy discussions and industry news.

Hanli Finance's Customer Service Director emphasized: "We don't want investors to feel isolated on any channel. Data from all channels is interconnected; users can directly transfer to a human agent from the community or jump to the knowledge base. In the future, we also plan to introduce AI customer service bots to provide 7×24 initial responses, further reducing wait times."

Enthusiastic Investor Response

As of press time, the Hanli Finance Discord community has attracted over 2,000 users within just 24 hours of launch. User "NewWave" commented in the community: "Previously, I mainly contacted Hanli via email, and replies were timely, but I always missed real-time discussion. Now with Discord, I can watch the market while chatting with like-minded people—much better!" In addition, the community's first "Analyst Q&A" session is scheduled for this Friday evening (Beijing time) and is expected to attract many participants.

Industry Perspective: Community-Based Service Becomes a Trend

Market analysts noted that with the continued growth of individual investors in the US stock market, traditional customer service models are facing challenges. Community platforms like Discord and Telegram, with low latency and high interactivity, are gradually being adopted by fintech companies as official contact channels. For example, Charles Schwab launched exclusive community groups as early as 2023, and Robinhood also introduced community discussion features in 2025. Hanli Finance's move follows the industry trend, upgrading "Contact Us" from passive response to active community operations, which is expected to increase user stickiness and brand loyalty.

However, community-based services also require vigilance against compliance risks. Hanli Finance stated that all community content is monitored by backend systems with sensitive word filtering; analysts clearly mark "not investment advice" during Q&A and remind users to be aware of risks. In the future, third-party compliance audits will be introduced to ensure transparent and reliable community operations.

Future Outlook

Hanli Finance revealed that the Discord community is just the first step in the "Contact Us" upgrade plan. In the second half of the year, the platform will also launch personalized account advisor services, an intelligent ticketing system, and multi-language support to meet the diverse needs of global US stock investors. Meanwhile, Hanli Finance is in discussions with multiple US stock brokers for data integration; future community users may be able to authorize account linking to view real-time holdings and P&L simulations, enabling an integrated "chat while analyzing" experience.

"We hope every investor feels that contacting Hanli Finance is not just about solving a problem, but about joining a professional and warm investor community," said Hanli Finance's CEO at the community launch ceremony.

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  1. 请求信息 : 2026-08-13 12:03:56 HTTP/1.1 GET : https://www.seadivi.com/hanli-finance-discord-community-launch
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  1. CONNECT:[ UseTime:0.001549s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.003039s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '51' LIMIT 1 [ RunTime:0.000623s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.002705s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000803s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.002900s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'seadivicom' AND `subsite_id` = '51' LIMIT 1 [ RunTime:0.000685s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.002943s ]
  9. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 51 AND ( ( LOWER(name) = 'en-us' ) OR `subtag` = 'en-us' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.001454s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.003828s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '51' LIMIT 1 [ RunTime:0.000856s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.003876s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 51 AND `name` = 'hanli-finance-discord-community-launch' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.001728s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '5869' OR `id` = '5869' ) AND `subsite_id` = 51 LIMIT 1 [ RunTime:0.005128s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.002830s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.001606s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '5869' LIMIT 1 [ RunTime:0.000779s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.002162s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '5869' LIMIT 1 [ RunTime:0.000685s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.002141s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002417s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '51' AND `lang` = 'en-us' AND `document_id` = '5869' [ RunTime:0.006522s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002292s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.002305s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.002041s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '51' AND `category_id` = '2153' AND `lang` = 'en-us' LIMIT 1 [ RunTime:0.000780s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '5869' LIMIT 1 [ RunTime:0.000861s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '5869' [ RunTime:0.002856s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.003767s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '51' AND `type` = 'article' AND `url` = 'https://www.seadivi.com/hanli-finance-discord-community-launch' AND `create_time` >= 1786593776 AND ( `visitor_id` = 'e8e101cc09123c58b79b3320706717df' OR `session_id` = '1b3041db21a41a393dd69957c307675b' ) LIMIT 1 [ RunTime:0.001247s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '51' , `uid` = '0' , `visitor_id` = 'e8e101cc09123c58b79b3320706717df' , `session_id` = '1b3041db21a41a393dd69957c307675b' , `type` = 'article' , `target_id` = '5869' , `target_type` = 0 , `category_id` = '2153' , `title` = 'Hanli Finance Official Discord Community Launches, Investor Contact Channels Expanded' , `url` = 'https://www.seadivi.com/hanli-finance-discord-community-launch' , `path` = '/hanli-finance-discord-community-launch' , `query_string` = '' , `referer` = '' , `referer_domain` = '' , `source_type` = 'direct' , `source_domain` = '' , `search_engine` = '' , `search_keyword` = '' , `utm_source` = '' , `utm_medium` = '' , `utm_campaign` = '' , `utm_term` = '' , `utm_content` = '' , `ip` = '216.73.217.73' , `user_agent` = 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)' , `device_type` = 'pc' , `browser` = '其他' , `browser_version` = '' , `os` = '其他' , `os_version` = '' , `language` = '' , `is_spider` = 0 , `spider_name` = '' , `status_code` = 200 , `country` = '' , `province` = '' , `city` = '' , `district` = '' , `isp` = '' , `region_code` = '' , `geo_status` = 0 , `geo_time` = 0 , `create_time` = 1786593836 , `update_time` = 1786593836 [ RunTime:0.002680s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.003032s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '5869' AND `pid` = '0' [ RunTime:0.000831s ]
  34. SELECT * FROM `g3ys_document` WHERE `category_id` = 2153 AND `subsite_id` = 51 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 5869) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001538s ]
  35. SELECT * FROM `g3ys_document` WHERE `category_id` = 2153 AND `subsite_id` = 51 AND `pid` = '5728' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001478s ]
  36. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '51' AND `lang` = 'en-us' AND `document_id` = '5728' [ RunTime:0.012171s ]
  37. SELECT * FROM `g3ys_document` WHERE `category_id` = 2153 AND `subsite_id` = 51 AND `pid` = '5869' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001480s ]
  38. SELECT * FROM `g3ys_document` WHERE `category_id` = 2153 AND `subsite_id` = 51 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=5869) or ( sort = 0 and id > 5869) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001196s ]
  39. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001048s ]
  40. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '51' AND `category_id` = '2151' AND `lang` = 'en-us' LIMIT 1 [ RunTime:0.000788s ]
  41. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '51' AND `category_id` = '2150' AND `lang` = 'en-us' LIMIT 1 [ RunTime:0.000712s ]
  42. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '51' AND `category_id` = '2149' AND `lang` = 'en-us' LIMIT 1 [ RunTime:0.000651s ]
  43. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '51' AND `category_id` = '2148' AND `lang` = 'en-us' LIMIT 1 [ RunTime:0.000625s ]
  44. SELECT * FROM `g3ys_total` WHERE `target_id` = '5869' LIMIT 1 [ RunTime:0.000837s ]
  45. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.002542s ]
  46. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '51' AND `status` = 1 LIMIT 1 [ RunTime:0.001245s ]
  47. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.002745s ]
  48. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '51' AND `ad_location_id` = '123' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786593836 ) AND ( `end_time` = 0 OR `end_time` >= 1786593836 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001075s ]
  49. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.001938s ]
  50. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 123 AND `subsite_id` = '51' AND `lang` = 'en-us' [ RunTime:0.000750s ]
  51. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.001833s ]
  52. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '51' AND `status` = 1 LIMIT 1 [ RunTime:0.000881s ]
  53. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '51' AND `ad_location_id` = '125' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786593836 ) AND ( `end_time` = 0 OR `end_time` >= 1786593836 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.000933s ]
  54. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 125 AND `subsite_id` = '51' AND `lang` = 'en-us' [ RunTime:0.001012s ]
  55. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000727s ]
  56. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001048s ]
  57. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001002s ]
  58. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001093s ]
  59. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001324s ]
  60. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.002504s ]
  61. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001547s ]
  62. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001512s ]
  63. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001187s ]
  64. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001487s ]
  65. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001023s ]
  66. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.005075s ]
  67. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 51 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 8 [ RunTime:0.002437s ]
  68. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.004908s ]
  69. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (694,692,689,687,684,682,681,679) AND `subsite_id` = 51 AND `lang` = 'en-us' [ RunTime:0.002798s ]
  70. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000917s ]
  71. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '51' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.002023s ]
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