Telegram RegisterThe public register of Telegram

Channel

金玲的朋友圈

@CAITONG000

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

79subscribers

+0 since we began measuring on 10 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003220747690
TypeChannel
Username@CAITONG000
CreatedBetween 1 October 2025 and 31 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live11 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/CAITONG000

Growth

7910 Aug 2026, 05:31 — 79 subscribers11 Aug 2026, 02:21 — 79 subscribers10 Aug 2026, 05:3111 Aug 2026, 02:21
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 78–80 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 02:2179no change
10 Aug 2026, 05:3179first reading

Engagement

17 posts held, back to 7 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
292.0%
avg views ÷ 79 subscribers
Avg views / post
231
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
5
of 17 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 July 2026
Posts held17 (7 April 202626 July 2026)
Views total692
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 05:31 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.

What this channel posts

Video runtime
1m 48s
Average length
1m 48s

Measured directly from 1 video 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.

Reaction mix

19 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 36.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👏736.8%
631.6%
👍421.1%
🔥210.5%

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 6 of the 17 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 19reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 7 April 2026 to 26 July 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.

Recent posts

21 Jul 2026, 18:29 UTC235 viewsread 10 August 2026
File

File, posted without a caption

Signed HCPAY-金玲(海外支付)

21 Jul 2026, 18:29 UTC243 viewsread 10 August 2026
File

File, posted without a caption

Signed HCPAY-金玲(海外支付)

21 Jul 2026, 18:18 UTC214 viewsread 10 August 2026
Photo

Photo, posted without a caption

Signed HCPAY-金玲(海外支付)

9 Jun 2026, 14:51 UTC258 views4 reactionsread 10 August 2026
Photo

🏳️‍🌈🏳️‍🌈🏳️‍🌈#解决认知障碍从心理开始 我金玲今天下午与一位盘哥聊天想跟进一下工作了解情况,他说:公司人没了群里的人都退了他一人还在坚持。我问:哥最近还有开工吗?他说:很难。我说:人难有不顺的时候我们可以去拥抱山河呼吸新鲜的空气身心舒畅,业务方面平哥你一定会好起来的,未来的路还有很长不负自己开心快乐每一天,这个群我为您保留我相信你终究有一天会走向山巅与您分享你来时的故事。 不同的想法,才有市场 想法一致,容易造就共识, 也更容易沦为盲从。 当所有人都想得一样, 市场便失去了新意与可能。 真正的市场,诞生于分歧, 在差异中释放选择的力量。 不是所有聚集都代表价值, 唯有不同的声音,才能开辟新的方向。 你选择成为市场中的一员, 还是被裹挟于盲从之中? 各位兄弟愿你们相信:苦尽甘来终有时 一路向阳待花期

2👏2

Signed HCPAY-金玲(海外支付)

23 May 2026, 16:42 UTC527 viewsread 10 August 2026
Photo

#客户要的是服务 而你要的是未来 “海外快捷支付:全网新出接海外商城以及刷单的链接支付方式快捷进算回款渠道已经打通 美元 日元 马来 新加坡 欧元 加币 落地以美金结算 进算回款保证您的资金安全” 时效30分钟给你足够的引导时间入款 「最低10起链接24小时为您的资金进算回款」

Signed 金玲(海外直通车)

20 May 2026, 16:54 UTC488 viewsread 10 August 2026
Photo

🏳️‍🌈🏳️‍🌈🏳️‍🌈#新币暂停接受美国相关业务 今日各大担保巨头纷纷表示暂停全美业务这次事件背后又将是一轮新的危机来临金玲提醒广大盘总好友注意网络安全以及资金安全把控风里雨里钱在兜里。 ✅合作联系 @HCPAY1 金玲

Signed 金玲(海外直通车)

21 Apr 2026, 06:32 UTC≈1,050 views5 reactionsread 10 August 2026
Photo

🏳️‍🌈🏳️‍🌈🏳️‍🌈#生活就像演戏你的剧本在你手里 很多客户已读不回,这在客户培育初期很常见 —— 尤其是当你用的是标准推销式话术或信息太长/太快暴露动机时 那么你客户不回信息的情况有以下几种情况 1.信息太像广告 2.一上来就讲股票 3.信息太长(话术) 缺乏互动 4.节奏太快 解决:轻敲门、建立互动感、放下商业目的感,让对方“愿意说话” 1.追问衔接 就是找到上次聊天的断点,然后进行衔接,不过这个时候不要刨根问底式的追问 2.参考资料触发 给对方索取的机会,把剧本的技术性课程整理出来,文件+语音,让客户感受到关心,从而愿意接受你 3.情绪共鸣法 最近,西班牙很多小投资者的收益都不太理想。您也遇到过类似的情况吗? 触发共情+让客户开口讲自己,这里我们可以从签名,头像,动态出发 4.选择式提问法 嘿,好奇一下:你更喜欢 Inditex/Santander 这样的股票,还是更喜欢 Audax 或 Grenergy

👏3👍1🔥1

Signed 金玲(换汇送现金)

18 Apr 2026, 14:51 UTC811 views3 reactionsread 10 August 2026
Photo

🏳️‍🌈🏳️‍🌈🏳️‍🌈#分享小知识看涨倒锤线形态 😲倒锤线日内交易策略 蜡烛图形态的交易总是需要结合其他技术工具,例如斐波那契水平线、支撑区域和技术指标。 倒锤形态的主要缺点是它无法告知交易者目标价位。它只显示价格图表上的买入单开仓位和止损位。以下几点讲述倒锤线日内策略判断依据。 😲支撑区的倒置锤 支撑区域在技术分析中预示着上涨趋势的反转。另一方面,倒锤线形态也显示出同样的趋势反转信号。因此,当两种技术形态同时出现时,趋势反转的概率就会增加。所以,寻找类似汇合点的支撑区域是明智之举。 😲准备入场 当出现倒锤形态时,等待下一根K线出现。如果此形态之后出现一根阳线,立即开立买单,并将止损位设置在最低点下方或支撑区域下方。调整止损位时,应选择最低点。 如果倒锤形态出现后没有形成阳线,或者下跌趋势继续,则不要开仓买入。 😲总结 学习K线形态是交易技术分析的基础。然而,正确理解这些形态更为重要。 其实多数时候不需要记住K线形态的

👍21

Signed 金玲(换汇送现金)

Showing the 12 most recent of 17 posts we hold for @CAITONG000. 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.

Citation-graph rank

Citation-graph rank — 538,005 of 1,478,351entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

Cite this entry

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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“金玲的朋友圈” (@CAITONG000), 79 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/CAITONG000.

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.