好多人去搶買631L 台灣50跌8%多,台50正二跌9%多 🙄
👏39🤣23👍8😈7💋5❤4😍3🍾1

Channel
@madchuwin
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
10,038subscribers
-230 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001400526387 |
|---|---|
| Type | Channel |
| Username | @madchuwin |
| Description | Podcast: Apple https://apple.co/391205K Google https://bit.ly/2KBWc9C Spotify https://spoti.fi/3953Qm4 KKbox https://bit.ly/3c7BI3Q FB https://bit.ly/39ZBc57 |
| Created | Between 1 February 2019 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 58 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/madchuwin |
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 78% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 14:59 | 10,038 | -1 |
| 5 Nov 2026, 16:10 | 10,039 | -5 |
| 4 Nov 2026, 12:38 | 10,044 | +1 |
| 3 Nov 2026, 09:11 | 10,043 | -3 |
| 2 Nov 2026, 10:56 | 10,046 | -2 |
| 1 Nov 2026, 09:15 | 10,048 | -3 |
| 31 Oct 2026, 10:18 | 10,051 | -4 |
| 30 Oct 2026, 13:09 | 10,055 | -3 |
| 29 Oct 2026, 13:46 | 10,058 | -4 |
| 28 Oct 2026, 11:54 | 10,062 | -2 |
| 27 Oct 2026, 15:21 | 10,064 | -6 |
| 26 Oct 2026, 12:40 | 10,070 | -3 |
| 25 Oct 2026, 14:06 | 10,073 | -1 |
| 23 Oct 2026, 17:28 | 10,074 | -7 |
| 22 Oct 2026, 17:10 | 10,081 | -4 |
| 21 Oct 2026, 13:10 | 10,085 | -6 |
| 20 Oct 2026, 11:29 | 10,091 | -6 |
| 19 Oct 2026, 08:06 | 10,097 | -9 |
| 18 Oct 2026, 07:37 | 10,106 | -1 |
| 17 Oct 2026, 10:04 | 10,107 | first reading |
40 posts held, back to 22 July 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 45 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.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 40 (22 July 2026 – 6 November 2026) |
| Views total | 60,280 |
| Reactions total | 1,130 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 21:14 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.
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
4,714 reactions across 40 posts, in 13 distinct kinds. The most used accounts for 56.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2,638 | 56.0% | |
| ❤ | 1,158 | 24.6% | |
| 🤣 | 462 | 9.80% | |
| 💋 | 262 | 5.56% | |
| 👏 | 89 | 1.89% | |
| 💯 | 26 | 0.552% | |
| 🔥 | 26 | 0.552% | |
| 🥰 | 20 | 0.424% | |
| 😍 | 10 | 0.212% | |
| 😈 | 7 | 0.148% | |
| 🤩 | 7 | 0.148% | |
| 🍾 | 5 | 0.106% | |
| 🎉 | 4 | 0.085% |
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 40 of the 40 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 4,714 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 22 July 2026 to 6 November 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.
Telegram’s own ‘edited’ marker: 4 of 18 posts held from the last 30 days (22.2%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
好多人去搶買631L 台灣50跌8%多,台50正二跌9%多 🙄
👏39🤣23👍8😈7💋5❤4😍3🍾1
現在的大跌是因為大家把最差的情況先想進去,真的美國全面凍結AI的話會怎樣。 但你在市場交易,其實最重要的就是要相信不會世界末日,不要被害妄想症。 底部在哪沒人知道,不過通常經驗是恐慌了,底部就不遠了,這種崩盤要記住: 1.別開太大會被洗出去的槓桿; 2.要敢在低檔進場買。 這次不會是世界末日。 這次不會是世界末日。 這次不會是世界末日。 記得悲觀的人講話都很有道理,但樂觀的人才能賺大錢。 有錢的可以開始買進逢低買股票,之前就都投入在市場中的,現在也該開始轉換更積極部位了。 別去想今天是不是最低點,你相信長期台/美股可以漲多跌少的話,有相對低檔就應該要進場撿便宜,你猜不到最低點的,也不需要猜,因為長期來說能買在相對低檔就吃不完了。 怕就分批買,但要開始買了,記得要買不會被掃出場的標的,不然在反彈前被洗掉會很想捶死自己。 最後提醒,《楚狂人終極實戰心法班》首賣特惠價8,990元,期限只到今天晚上12點,隔天就會漲回到…
👍73❤18💋3🥰1
剛有人問我說這波下跌,大盤跌超過15%,那我的DD(DrawDown)是多少? 我的長線部位,就是冷門股策略+終極投資組合綜合配置成長線部位,從10月最高,也是歷史最高點往下算,到今天剛剛的數字大概是拉回8.5%。 所以如果用15%計算的話,等於是我的組合跌幅只有大盤跌幅的56%左右。 而且我的配置裡面還滿多正二(Nasdaq正二多一些,台灣50正二比較少),結果才拉回這樣幅度,我覺得應該算不錯。 這波比較可惜的是沒做到終極波段的空單,照策略來說,應該可以在11/2進場做空才對,不過不打緊,過了就過了,等之後打出底部型態再進場也很好。 然後這兩天大盤跌幅有碰到15%,所以之前之前提醒過大家的逢低買進策略,已經符合第一批進場條件了,該進場就進場,不要去想說會不會明天還繼續跌,你反正按表操課做,已經是買在相對低檔區了,只要你還相信股市長期漲多跌少,能夠買在相對低檔區,拉長時間來看你就是贏家,而且還有第二批第三批可以再逢低買…
❤30👍19💋4
之前在我Podcast節目講到,我最近一次加碼台積電是用台積電期貨增加長期持股曝險,後來就有學員問我:可不可以詳細講一下,個股期貨到底要怎麼操作? 當然可以。 我長期看好台積電,但台灣沒有台積電正二,所以我想要加槓桿,除了融資以外,沒什麼招,但融資的利息過高,如果買台灣50正二,除了台積電以外,也會買到其他股票。 所以我現在的做法是:直接用台積電股票期貨建立槓桿部位。 一般台積電期貨一口代表2,000股,如果用一張現股假設現在股價是2300,那就是約230萬元的資金,取得相當於兩張現股的曝險,初始槓桿就是大約兩倍。 似乎很簡單,就把一張台積電現貨換成一口台積電期貨就是兩倍了。 不過這裡有個很多人容易忽略的問題。 起始槓桿兩倍,不代表以後永遠都是兩倍。 股價下跌,帳戶權益減少,實際槓桿反而可能越來越高。 而且除了部位本身的風險,你還要考慮保證金、每個月換倉,以及原本持有的台積電、其他AI相關股票,加起來是不是已經…
👍25❤7💋4
大家平常聽我podcast講投資,應該常常聽到幾個東西:台積電、NASDAQ、台灣50正二、冷門成長股,還有之前持有的長天期美債。 可能有人會好奇說我講了這麼多投資商品,那我自己的錢到底怎麼配置?是每樣都買一點嗎?各占多少比例?如果想加碼,錢又從哪裡來? 這其實很多學問在裡面。 我發現很多人學投資,會把重點放在「買什麼股票」,但比較少認真思考「買多少」跟「不同部位怎麼搭配」。 舉個例子,你買了台積電、0050、台灣50正二,看起來是三種商品,但實際上有很高的曝險重疊。 如果你覺得自己分散投資三種商品,就代表分散了風險,那可能是個很大的誤會。 投資組合不是把很多好東西買進來就好了,而是每一筆資金,都應該知道自己在整體配置中扮演什麼角色。 我自己就會同時使用好幾套不同的投資方法。 例如長期持有的股票和ETF、研究多年的冷門成長股,以及在特定條件下才增加的槓桿型ETF部位。 這些東西的操作邏輯、風險和資金安排都不一樣…
👍33❤17💋2
上禮拜節目說最近在季線保衛戰,結果週五跟週一就確認保衛失敗了,收盤跌破季線,隔天也沒站回去,現在是跌破半年線了,而七月底是撐在半年線之上的。 然後最近因為盤勢下跌,所以市場上就冒出一些鬼故事,網路上也開始有一些人失去信心,說已經清倉了,要隨時準備暴跌。 終極波段目前還沒有打算進場。 至於我的長線部位更是完全沒有減碼,也不打算減碼,我還是持續看好AI趨勢,風控也有做好,就算再跌個三成,我也不會被請出去,所以沒什麼好擔心的。 反而又再看是不是符合下一次的逢低加碼條件。 講到逢低加碼,我之前就有在我心法班裡面跟學員說,我是怎麼訂什麼標的,修正到哪裡要加碼多少,加碼資金怎麼調度,要提醒大夥,這次因為有過前高再殺,所以修正%數要重新計算,記得回去複習一下我當時是怎麼說的。還沒有加入的人,也不要錯過這唯一一次創始優惠。 把握每一次可以逢低加碼的機會,你的財富累積速度會加快很多,但這也是有講究的,你不能太早就把子彈打光,不知道怎麼…
❤33👍22💋6🥰1
Podcast EP438已經上傳了,這集跟你聊一下: 爸媽該不該幫小孩存第一桶金?給太多怕寵壞,不給又怕他太辛苦 收聽連結 https://open.firstory.fm/story/cmvyzgt6a02r401x4gfozcchi 楚狂人實戰心法課程介紹 https://www.wantgoo.com/laojiao/project/24/promotion
👍17❤2💋2
最近我在整理一套內容,就是我寫了三年多的《楚狂人終極實戰心法班》。 目前已經累積300多篇文章。這次準備改成買斷的方式,讓有興趣的人可以一次帶走,慢慢研究。 不過我想先跟你說說,這個心法班的價值在哪。 很多人學投資,都想找一套好的策略。像是什麼時候買進、什麼時候賣出,最好有明確規則,照著執行就好。 但你真的開始投資以後,就會發現真實市場沒有那麼簡單。 例如,當市場突然大跌,原本的策略叫你加碼,可是你手上已經有很多股票了,還應該要加多少?加碼的錢從哪裡來? 或者你同時用了好幾套策略,每套都有自己的道理,資金到底應該怎麼分配?發生什麼情況表示這套策略出問題了,需要暫時冷凍。 像這些問題,都不可能靠一套買賣公式全部解決。 所以心法班的第一個特色,就是有大量真實的學員問答。 像是《加碼策略的禁忌》、《遇到反向狂噴,要留多少保證金?》,都是學員實際提出來的問題。 我把我的想法、考慮的因素,以及可能遇到的風險跟利弊得失都…
👍35❤18💋3
玩股網app已經有對iPhone Duo做了最佳化,打開以後可以看到很完整的看盤畫面,點了股票/指數,右側會跳走勢/線圖 即使用外側小螢幕看,下方按鈕也都移轉到右側了,可以看到更大畫面 到app store搜尋玩股網就可以找到
👍52❤7💋7
Podcast EP437已經上傳了,這集跟你聊一下: ETF可以越跌越買,那個股也可以嗎? 收聽連結 https://open.firstory.fm/story/cmvok3v3005sf01x0a9cd5lkm 主力券商雷達介紹及方案 https://www.wantgoo.com/event/broker-radar
👍32❤5💋3
最近玩股網上線了一個新工具,叫做「主力券商雷達」。 上次有跟大家稍微介紹過,不過我覺得這個工具的切入角度很厲害,值得再花一點時間跟大家分享。 一般人研究股票,通常是先看到某檔股票大漲,再去查到底是哪些券商分點在買。 但我們這次把順序反過來。 我們先從過去那些曾經漲一倍、甚至漲好幾倍的股票開始研究,看看它們在起漲點前後,到底有哪些券商分點曾經大量買進。 而且不是只看一檔股票,是把不同強勢股的紀錄拿來比較,找出那些反覆出現的券商分點。 接下來,有意思的地方來了。 這些過去曾經布局強勢股的分點,最近又在買什麼股票? 玩股網系統每天盤後都會自動幫你追蹤。如果這些分點在某檔股票的買超張數,占了當天成交量很大的比例,就會把這檔股票列入觀察名單。 你還可以直接打開 K 線,看這家券商分點在什麼位置買進、買了多少、後來股價怎麼走。 而且我們最近在主力券商雷達的介紹頁,還特別增加了一個我覺得很有意思的東西。 就是每天把雷達的…
👍34❤14💋5
上週我才再次重申,我這次終極波段策略不會進場做多。 主要是因為最近的盤的特性並沒有改變,依然是走過高破低盤。 這種盤基本上所有做順勢交易的策略都有兩種美味佳餚可以吃,一種是筍,一種是鱉。 就一直吃鱉,然後停損也吃不完。 因為順勢交易就是做突破或跌破,突破前高進場做多,盤勢就往下跌,跌破前低,正常都會停損,等你被洗掉以後,甚至反向做空以後,又連三天快速反彈衝高,之前的空單再次吃筍,或是被軋空手。 現在位階這麼高,只要中招兩次就至少是兩三千點去了。 大盤在10/7高點到週一低點就超過3000點。 如果是看到之前長紅突破前高衝進去的,這波修正就會很痛,然後痛是一回事,等你停損了,也許又衝回去,甚至創新高,你就會開始懷疑說為什麼我他媽的要遵守紀律,為什麼我要停損,我傻了嗎? 等到下次再遇到跌破停損的時候,你很可能就會糾結說似乎我感應到財神爺暗示我這裡應該賴皮,很快就會回本了。 然後通常賴皮幾次都成功,有了信心之後,就會…
👍50❤14💋6🤩2🔥1
Showing the 12 most recent of 40 posts we hold for @madchuwin. 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.
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 1 seed channel's Telegram-generated recommendation list 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“楚狂人” (@madchuwin), 10,038 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/madchuwin.
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.