Channel
@TradefenggeTG
On this record: Topic · Observations · Growth · Engagement · Posts · Cite this entry
21,307subscribers
-147 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003945280389 |
|---|---|
| Type | Channel |
| Username | @TradefenggeTG |
| Created | Between 1 April 2026 and 10 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/TradefenggeTG |
Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 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.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
2.9 average views per post against 21,343 subscribers — an engagement rate of 0.014%. Across the 1,871 registered channels in the same cohort — 10,003–31,611 subscribers, posting mainly in Chinese — the middle half sit between 1.94% and 11.5%, with a median of 4.82%.
| Window | 30 days (13 July 2026 – 12 August 2026) |
|---|---|
| Posts measured | 14 of 14 published in the window (14 exact, 0 rounded by Telegram) |
| Views totalled | 41 |
| Mature posts only | 0.014% over 14 posts read at least 24h after publication |
| Subscribers | 21,343 measured 12 August 2026 |
| Cohort | b10000:zho · 1,871 channels · p10 0.566% · p25 1.94% · p50 4.82% · p75 11.5% · p90 24.9% |
| Position in cohort | 0.267th percentile · 1/333 the cohort median |
| Uncertainty | ±0% of the figure, from Telegram’s rounding |
| Post language | Chinese · 100.0%of the window’s posts |
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 12 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 21:38 | 21,307 | -19 |
| 13 Aug 2026, 16:08 | 21,326 | -17 |
| 12 Aug 2026, 18:48 | 21,343 | -31 |
| 11 Aug 2026, 18:03 | 21,374 | -21 |
| 10 Aug 2026, 19:41 | 21,395 | -31 |
| 9 Aug 2026, 18:24 | 21,426 | -24 |
| 8 Aug 2026, 21:08 | 21,450 | -4 |
| 7 Aug 2026, 17:58 | 21,454 | no change |
| 7 Aug 2026, 16:17 | 21,454 | first reading |
15 posts held, back to 10 June 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 19 pagesof 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 1 August 2026 |
|---|---|
| Posts held | 15 (10 June 2026 – 1 August 2026) |
| Views total | 41 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 17:54 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.
我们就以峰哥频道里这22个反馈案例来分析，有翻仓4倍，7倍，10倍，22倍，30倍，40倍，95倍，200倍，300倍，为什么翻仓倍数越高的资金却越小？是大资金用户胆子不够大吗？还是小资金用户技术更好？唯一解释：大资金更需要求稳，已经很多钱了，不需要去赌，大资金的得失感比小资金更重，压力也更大。 比如那位100万美金赚到2500万美金的用户，别人路线走的是大趋势单，不会天天想着交易，别人等的机会耗费的时间都是按照周，月来计算，这钱该别人赚。 再比如那位20万美金做到170万美金的用户，晋升A8。别人路线走的又不一样，敢打敢拼，只为跨越阶层，利润均不是单笔爆发，而是操作了无数单短线累计出来的成果。 不同的资金体量，方式是不是不一样？又或者说他们都在坚持自己擅长的方式呢？在自己的赛道去发展壮大，我认为是绝对正确的！ 你的方式不需要得到别人认可，不需要大多数人认可，你只要认定这是能够给你带来一定稳定性，带来利益，最适合自己的方…
四：耐心等待机会 市场每天都有波动，也有大量的机会，但不一定都是属于交易员自己的机会。假如怕失去机会，就可能频繁操作，从而导致频繁亏损，心态紊乱，造成恶性循环。没有哪一个交易员能抓住绝大部分机会，只有耐心等待看得懂的机会下单，成功率才会高，由此得到市场奖励，心态也才会更好。 有了好的交易心态，会增加交易技术的执行力；有了好的交易理念、交易技术，又会有利于培养好的交易心态。在培养好的交易心态的同时，我们也要努力学习好的交易理念和合适的交易技术。
三：使用适当资金适合仓位参与交易 资金仓位过小，交易盈亏就会无所谓，就会下随意单，该止损时可能不会坚决执行。资金仓位过大，那就是在做亏不起的交易。盈和亏对心理势必产生强力冲击，这样心态就会乱，事先即使有严明的操作纪律，也会形同虚设，无法执行到位，最终亏损成为必然。 所以，我们一直在提，你有多少总资金？有多少可以参与合约？每一单保证金开多少？这个适当仓位可以给你带来不错的盈利，也可以将风险控制在你能接受的范围。过大的仓位玩崩自己，过小的仓位浪费行情， 你找到适合自己的仓位配置了吗？
二：适度控制贪婪和恐惧心理 贪婪和恐惧是人的本性。完全克制贪婪和恐惧没有必要，也不可能实现。适当的有理由的贪婪，有利于提高技术和收益。适当的恐惧有利于培养风险意识，做到及时止损。贪婪和进取心没有明确界限，恐惧心理与自我保护意识同样无法准确界定。但是不切实际的毫无依据的过分贪婪不可取，因无知而产生的莫名恐惧，同样也不可取。 交易时不要对账户权益和盘口过度关注 有些人在交易时不由自主盯着账户权益，随着权益的上下波动，心潮起伏，杂念丛生，不仅严重扰乱操盘心态，而且严重影响对行情的分析判断。有些人在交易时习惯盯着买卖盘口看，炒单可以借此判断超短时间内的价格波动，但对于稍长一点的日内短线来说，就失去了意义，因为通过盘口的变动，根本无法预测短线波动方向，更无法判断中长线趋势。紧盯盘口会产生和紧盯账户权益同样的弊端。 正确看待止损 止损是交易过程中的一个组成部分，再高明的交易员也可能经常经历。正常亏损是为最终获利必须付出的成本。所以说，止…
一：养成良好的生活习惯 好的生活质量和充足的睡眠，能保证做交易时有充沛的精力和敏锐的反应力。
给大家讲下心态：很多人做交易容易受盘面影响会带着情绪！ 能控制好情绪的人，往往是优雅的。能调整好心态的人，往往是成功的。“七分心态，三分技术。”可见技术只是战术层面的，而心态则是有战略高度的。
BCH 昨夜最低位206做多，目前最高位212获利出局，拿下3%的涨幅！
要来了
超级会员战绩火爆10胜2负 近两周共交易12笔订单，盈利10笔，亏损2笔。 正收益率：2396% 负收益率：-386% 盈亏比：6.2 : 1（超高) 最终收益：2010% 数据上可以看到亏损的比例仅为盈利的零头，这一点很重要❗️收益的盈亏比同样很高，象征着赢面大小，这一点很重要❗️最终收益2010%，你一单买100美金，可以赚2000美金；你一单买1000美金，可以赚20000美金；你一单买10000美金，可以赚200000美金，这个就看自己实际情况❗️
🎉超级会员战绩9胜2负🎉 💰净收益1730%（高产） 🏧胜率82%(长期稳定） 收益还在稳定增长，这就是安全感！
非常开心这位粉丝能在理性的情况下选择峰哥会员，关注一个月，发现峰哥小止损大止盈，跟其他博主不太一样。
全部获利出局
Showing the 12 most recent of 15 posts we hold for @TradefenggeTG. 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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“「峰哥」比特币行情分析” (@TradefenggeTG), 21,307 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/TradefenggeTG.
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.