上一个拉的是 $BONER https://app.nansen.ai/profiler?address=0x5638484ba2d2f1d1d35020572b0aa439a9869192&chain=robinhood&name=%F0%9F%94%A7+%F0%9F%91%A4+Dxrant+%5B0x563848%5D&ref=7LOuQVx1Jvh
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Channel
@lianqiujun
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
12,900subscribers
+269 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001983738390 |
|---|---|
| Type | Channel |
| Username | @lianqiujun |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/lianqiujun |
Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 22:22 | 12,900 | +5 |
| 16 Sept 2026, 10:39 | 12,895 | +9 |
| 14 Sept 2026, 18:56 | 12,886 | +11 |
| 13 Sept 2026, 08:17 | 12,875 | +10 |
| 11 Sept 2026, 14:20 | 12,865 | +9 |
| 8 Sept 2026, 20:40 | 12,856 | +36 |
| 5 Sept 2026, 10:39 | 12,820 | -5 |
| 3 Sept 2026, 13:38 | 12,825 | +11 |
| 2 Sept 2026, 04:34 | 12,814 | +8 |
| 1 Sept 2026, 07:28 | 12,806 | -5 |
| 31 Aug 2026, 08:57 | 12,811 | +7 |
| 30 Aug 2026, 06:15 | 12,804 | +7 |
| 29 Aug 2026, 09:23 | 12,797 | -1 |
| 28 Aug 2026, 06:23 | 12,798 | -2 |
| 27 Aug 2026, 07:07 | 12,800 | +24 |
| 26 Aug 2026, 05:38 | 12,776 | +16 |
| 25 Aug 2026, 09:11 | 12,760 | +30 |
| 24 Aug 2026, 12:14 | 12,730 | +1 |
| 22 Aug 2026, 17:43 | 12,729 | +17 |
| 21 Aug 2026, 10:03 | 12,712 | first reading |
205 posts held, back to 6 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 51 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 40 of 85 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 205 (6 August 2026 – 2 September 2026) |
| Views total | 36,546 |
| Reactions total | 112 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 20:53 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Measured directly from 11 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
205 reactions across 81 posts, in 8 distinct kinds. The most used accounts for 56.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 116 | 56.6% | |
| 👍 | 37 | 18.0% | |
| 👏 | 21 | 10.2% | |
| 🙉 | 14 | 6.83% | |
| 😁 | 7 | 3.41% | |
| 🔥 | 5 | 2.44% | |
| 😘 | 4 | 1.95% | |
| 🦄 | 1 | 0.488% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 95 of the 205 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 205 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 205 most recent posts we hold, published 6 August 2026 to 2 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
上一个拉的是 $BONER https://app.nansen.ai/profiler?address=0x5638484ba2d2f1d1d35020572b0aa439a9869192&chain=robinhood&name=%F0%9F%94%A7+%F0%9F%91%A4+Dxrant+%5B0x563848%5D&ref=7LOuQVx1Jvh
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庄入场了, $MOO 这两天要冲 $50M 了. 我怀疑要上交易所或者有未知利好。 之前的内幕都动了。 0xd9db30bb0d2b8d2eae3826a1372117e058791e18 https://debot.ai/token/robinhood/174709_0xd9db30bb0d2b8d2eae3826a1372117e058791e18 主要建仓的内部地址: 0x5638484ba2d2f1d1d35020572b0aa439a9869192 现在这个地址还有 $1M 的 USDG 等待买入。
贝森特「救火」成果归零:美债收益率全面回升,全球主权债同步重定价
美SEC公布美股「24小时交易」圆桌会议议程,Robinhood、纽交所、贝莱德等参会
这两个地址还是太超前了。 但凡查一下背景, 都不能错过。 这重仓地址, 几乎平时不交易, 一买就是金狗。 https://x.com/0x_aster https://debot.ai/token/robinhood/174709_0xaa07a0e9209e16ac99708c3ec70159c6ef3128a3
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啊啊啊 马德, $AI 弯道超车了! $PONS 顶多 20 倍。 这 $AI 我们最早入场( $1.2M )到现在 200 倍了.... 当时也直接认为,它是龙一候选人。 当时以为 PONS 稳赢, AI 最多 $20M。 没有全程跟它们社群混,后续翻转没坚定的跟上 悔恨莫及 。 知道猛,没想到这么猛啊, 卖飞了😑 唯一一个全程跟进度没钻石手拿的 🈚️ —- 昨天, 一位Robinhood大鲸鱼单笔 买了 2000万美元的 $AI , 虽然是个意外,后来卖掉了, 但这本身意义就很大了 😭
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Debot 自动跟单实战:扫链抓住下一个 1000 倍金狗!牛市最省事策略,不再错过暴涨! https://youtu.be/NinTeAcH_qU 【这个策略, 我曾经实战非常有效, 我拿到过多个 100 倍底部, 后来市场变差了放弃了。 】 现在可能又是好时机(牛市), 有兴趣的, 觉得自己不适合扫链交易, 就投入资金, 自动化跑跑效果, 然后调整参数优化。 工具只用一个Debot : https://debot.ai/r/174709
Ripple开始为XRP Ledger分阶段实施抗量子迁移 – 链接 Ripple宣布了一项四阶段计划,旨在未来量子计算威胁出现之前升级XRPL的加密技术。该计划包括测试抗量子算法,并在全面迁移之前并行运行双加密系统。 意义所在:这表明主要区块链开始将量子风险视为实际的工程优先级,而非遥远的假设。
好消息: PONS APP 快来了。 坏消息: $fable 速通, 快速 RUG 。 多少人上头了, 一把🈹没了。 某某某关注了, XXX 说过某些词, YYY 是开发者, SSS 点赞了 这类角度, 本身就很容易失效, 然后还会分流, RUG 。 “信息周期太短了” 这本来就是 Pump Fun 玩不下去的原因。 RH 扎根深, 地基稳的项目, 基本最后都熬出来了, 破新高。 $PONS $YOLO $NASDANQ $VEX $GRID $BOW $ROBBIE $TA $CLAN $DICE $PAIR $AI 最大的问题就是有时来的太早了, 并且不知道现在还很早。
❤4👍1
通知一个情况, 刚刚有人找我说,他被骗了, 充值到一个未知交易所, 无法提现。 我是才知道,一个新骗局。 ‼️ 如果你的账号不是 Telegram Premium 订阅账号, 你在浏览查看 : 群组、频道、机器人的时候, 会查看到广告 🪧 这广告可以“定制封面”、留联系方式, 从而私聊教你投资等等 而这个广告和 X、 YouTube的广告是一样的, 任何人只要付费给平台。 就能获得推荐发布, 会推荐到各类频道中。 ( 类似谷歌广告 ) ⚠️ 广告内容, 右边有一个❌关闭广告, 且下方没有留言窗口, 且没有发布时间 ⚠️ 正常内容 和 广告内容有明显区别 ⚠️ 我只有一个联系地址, 就在频道置顶处 而且我只发布内容抹平信息差, 从来不会主动私聊,催促你如何购买 XXX , 赶紧投资 YYY 等 —— 如果你是Telegram Premium 会员就不会看到这类广告 【这属于 Telegram 官方层面的广告流推广…
擦, 2个月了, 为什么搞得好像大家第一天知道 : Robinhood 搭建 在 Arbitrum (@arbitrum) 上, 10% 的手续费会给 $ARB 回购。 然后, 突然昨天就知道了? $ARB 在6小时内拉升 33.3% 那是不是还有人不知道: $Morpho 是 Robinhood 上的 $AAVE , 甚至圈子里觉得 Morpho 的技术比 AAVE 更好。 同等水平, 后者是前者价格的 50 倍。 RH 上 90% 的稳定币都在Morpho上面吃利息。 直接领投资方是: a16z \ Ribbit Capital \ Paradigm 它们曾是 @Polymarket @solana @coinbase 的投资方 所以... 什么时候..
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@standard_rsv 的白名单每个都在以 2 万美元的价格在场外出售 还没人愿意卖。 😆 都疯了 牛来了。
Showing the 12 most recent of 205 posts we hold for @lianqiujun. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
@lianqiujun named 10 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 19 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 18 September 2026 — this entry's latest reading, not the date you are reading this.
“链求君精选分享” (@lianqiujun), 12,900 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/lianqiujun.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.