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Crypto Freemium

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Free channels (use /free) & Elites Hub membership - @Eliteshubmembership_bot ----------- For queries contact : https://t.me/Eliteshubhelp

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马来西亚3 115加密货币8 340...

📈 Telegram 频道 Crypto Freemium 的分析概览

频道 Crypto Freemium (@crypto_freemium) 英语语言赛道中的是活跃参与者。目前社区聚集了 11 657 名订阅者，在 加密货币 类别中位列第 8 340，并在 马来西亚 地区排名第 3 115 位。

📊 受众指标与增长动态

自 невідомо 创建以来，项目保持高速增长，吸引了 11 657 名订阅者。

根据 03 十一月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 -137，过去 24 小时变化为 -2，整体触达仍然可观。

认证状态： 未认证
互动率 (ER)： 平均受众互动率为 6.31%。内容发布后 24 小时内通常能获得 4.26% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 735 次浏览，首日通常累积 497 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 3。
主题关注点： 内容集中在 tp1, powell, yield, bbg, tariff 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台：
“Free channels (use /free) & Elites Hub membership - @Eliteshubmembership_bot ----------- For queries contact : https://t.me/Eliteshubhelp”

凭借高频更新（最新数据采集于 04 十一月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 加密货币 类别中的关键影响点。

11 657

订阅者

-224 小时

-537 天

-13730 天

735

帖子浏览量

~ 49724 小时

~ 56648 小时

6.31%

参与率

~ 8

每日帖子数

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日期	订阅者增长	提及	频道
03 十一月	+1
02 十一月	+1
01 十一月	+1

频道帖子

Repost from N/a

#GMXUSDT LONG Entry 1 : 8.35 (50%) Entry 2 : 7.50 (50%) Targets : 8.91 - 9.87 - 10.83 Stoploss : 1D CLOSE BELOW 7.28

2	#XMRUSDT LONG Entry 1 : 614 (50%) Entry 2 : 540 (50%) Targets : 655 - 726 - 796 Stoploss : 1D CLOSE BELOW 519	361
3	🇺🇸 US MIDTERM ELECTIONS: WHAT HISTORY TELLS US ABOUT THE STOCK MARKET 📈 Americans head to the polls today, November 3, to decide which party controls Congress. Here's an interesting historical pattern that could matter for the markets. 📊 S&P 500 Performance After Midterm Elections (1946–2022) 🟢 After 1 month: 15/20 positive (75%) 🟢 After 3 months: 18/20 positive (90%) 🟢 After 6 months: 19/20 positive (95%) 🟢 After 12 months: 20/20 positive (100%) That's right. The S&P 500 has finished higher one year after every single US midterm election since 1946, with average gains of roughly 15%. ━━━━━━━━━━━━━━━━━━ 🔍 WHAT MAKES 2026 INTERESTING? Current election forecasts favour Democrats taking control of both the House and Senate, while Trump remains President. This political combination has occurred seven times since 1946. Here's how the S&P 500 performed: • 1 month later: 6/7 positive • 3 months later: 7/7 positive • 6 months later: 7/7 positive • 12 months later: 7/7 positive Interestingly, the market's historical strength after midterms hasn't depended on which party wins. ━━━━━━━━━━━━━━━━━━ 💡 WHY DOES THIS HAPPEN? Markets generally dislike political uncertainty. Once elections are over, investors have a clearer picture of future policies, and attention shifts back to interest rates, corporate earnings and economic growth. This could help explain why the months following midterm elections have historically been favourable for stocks. ━━━━━━━━━━━━━━━━━━ 📈 OUR TAKE History gives us plenty of reasons to remain optimistic about the months ahead. While short-term volatility is always possible, the post-midterm period has historically been favourable for US equities, regardless of which party controls Congress. A stronger stock market could also support broader risk appetite, including in crypto, especially if the Fed and liquidity conditions turn supportive. Of course, historical performance doesn't guarantee future returns, and every election cycle comes with its own challenges. But with such an impressive track record spanning eight decades, there's certainly reason to look forward to the next 12 months with cautious optimism. 20 out of 20 so far. Let's hope 2026 makes it 21 out of 21! 📈 ━━━━━━━━━━━━━━━━━━	479
4	Case study - P&L numbers and Awareness : Open and read only when you have 5 minutes to spare. Else skip 🤞🏻 TRADING PERFORMANCE REPORTS — THE NUMBERS BEHIND THE NUMBERS We recently came across a signal provider's October report displaying 90% accuracy and 3,710% in cumulative target results. Impressive at first glance. But let's look at what those numbers actually mean. 1. WHAT DOES 3,710% REPRESENT? The sheet contains 30 calls: • 27 marked successful — 90% hit rate • 3 marked unsuccessful • Combined positive percentages: +3,800% • Combined negative percentages: −90% Net displayed total: +3,710%. This is simply the arithmetic sum of the reported leveraged percentages. It is not evidence of a 3,710% increase in trading capital. 2. A REAL SIGNAL AS AN EXAMPLE Consider this HYPE short setup: Entry: $86–$89.7242 TP1: $83.5558 Leverage: 10x Suppose only the $86 entry fills. When TP1 is reached: • Actual price movement: +2.84% • Theoretical return at 10x: +28.42% But the 28.42% assumes the entire filled position is closed at TP1. Now consider a trader allocating $1,000 to this call: • Only 30% enters: $300 margin • 25% of the filled position is closed at TP1 • Remaining 75% eventually closes at breakeven Actual booked result in this example: • +7.11% on deployed margin • +2.13% on originally planned capital • Approximately $21.32 earned before costs Same signal, same target, very different results. 3. WHAT IF WE RECALCULATED THE ENTIRE REPORT? Let's run an illustrative scenario using their 30 published calls. Assumptions: • Equal $100 planned margin allocation per call • Winning trades fill only the first 30% entry • Traders book 25% of the filled position at TP1 • Remaining 75% closes at breakeven • TP1 represents, on average, one-third of the maximum price movement used in the report • All three unsuccessful trades fully enter and incur their reported losses Under these assumptions: Reported winning percentages: +3,800% Adjusted for partial entries, partial exits and TP1 being one-third of the reported maximum: Estimated gross gains: +$95 Reported losses on the three unsuccessful calls: Estimated losses: −$90 Illustrative net result: +$5 across 30 trades, each with a $100 planned allocation. That's an average return of approximately +0.17% per planned trade allocation, before trading costs. Now change just one assumption: • If TP1 averaged 25% of the reported maximum move: approximately −0.63% per call • If TP1 averaged 50% of that maximum: approximately +1.75% per call These are hypothetical scenarios, not verified estimates of the provider's actual P&L. But they demonstrate how sensitive performance is to execution assumptions. 4. WHY DO THESE DIFFERENCES MATTER? A performance sheet can look extraordinary if it assumes: • Every entry receives maximum capital • The entire position exits at the best available price • Price movements beyond TP4 are fully captured • Leverage is applied without considering actual exposure • Partial exits, fees, funding and slippage are ignored Meanwhile, losing trades can fill every entry ladder before reaching their stops, exposing substantially more capital than winning trades that filled only the first entry. This imbalance can completely change the outcome. 5. WHAT SHOULD REAL PERFORMANCE TRACKING INCLUDE? Actual entry fills, position sizes, partial TP exits, stop-loss executions, trading costs, realized returns and maximum drawdown. We're not suggesting that the reported targets weren't reached. Our point is that reaching a price target and earning the maximum theoretical return from that movement are entirely different achievements. Even an excellent target-hit rate can coexist with disappointing or negative realized performance. A transparent track record should make that distinction clear. Price movement is not profit. Leveraged ROI is not account growth. And a high win rate alone doesn't establish profitability	525
5	ETF Flows: 02 Nov 2026 Daily 🔴 Bitcoin ETFs: $398.6M net outflows 🔴 Ethereum ETFs: $139.7M net outflows ⚪ Solana ETFs: $0.0M net flow 🔴 Hyperliquid ETFs: $2.9M net outflows Weekly (Nov 2 - Nov 2) 🔴 Bitcoin ETFs: $398.6M net outflows 🔴 Ethereum ETFs: $139.7M net outflows ⚪ Solana ETFs: $0.0M net flow 🔴 Hyperliquid ETFs: $2.9M net outflows Monthly (Nov 2 - Nov 2) 🔴 Bitcoin ETFs: $398.6M net outflows 🔴 Ethereum ETFs: $139.7M net outflows ⚪ Solana ETFs: $0.0M net flow 🔴 Hyperliquid ETFs: $2.9M net outflows	507
6	They've repeated it throughout the last 5 years. All while trying to portray like they know what they do. While all they do is mess around.	598
7	Since October link rejected exactly at 12.5$ And hit invalidation level. Today there is new setup at 10% below invalidation level with tp 10-50% That's the scam game.	580
8	Today : #LINK Accumulation Zone $10.73 - $9.33. Invalidation - Daily close below $8.90 Target - 10% - 50%	579
9	Example : 21 October #LINK targeting $13.2 - $13.5 in the short term Invalidation $11.5	534
10	没有文字...	563
11	+1 Self proclaimed experts that are "back to trading desk" everytime they find the slightest chance to milk advertisements into memberships 😀	596
12	没有文字...	637
13	没有文字...	607
14	Add to it, HANA call from today. 3 calls open.	611
15	Update since October 17 - October 30 (Since last update) We also deployed a new tracker bot during this period helping us accurately track every call. Unlike others that spam signals, charts and claim wins only during green markets and go silent on calls that hit SL, we will try to keep track of everything - for continous learning from mistakes/patterns and improve our overall executions. Auto trade signals from our own indicator tests are starting this coming week. TRADE PERFORMANCE 38 Calls — October 2026 TARGETS REACHED (19) TP4 — All Targets Hit • BREVUSDT \| LONG \| +26.56% • REZUSDT \| LONG \| +30.14% • ALTUSDT \| LONG \| +27.42% TP3 — Remainder Closed at Entry • DYMUSDT \| LONG \| +18.39% TP2 — Remainder Closed at Entry • WCTUSDT \| LONG \| +14.08% • SOLVUSDT \| LONG \| +11.45% • APTUSDT \| LONG \| +9.24% TP1 — Remainder Closed at Entry • ARKMUSDT \| LONG \| +12.57% • AXLUSDT \| LONG \| +8.93% • MEGAUSDT \| LONG \| +8.79% • GRASSUSDT \| LONG \| +8.73% • ASTRUSDT \| LONG \| +8.53% • ENAUSDT \| LONG \| +6.67% • MANTAUSDT \| LONG \| +5.99% • ANKRUSDT \| LONG \| +5.40% • HOMEUSDT \| LONG \| +5.24% • PHAUSDT \| SHORT \| +5.12% • KMNOUSDT \| LONG \| +5.06% • BASEDUSDT \| SHORT \| +3.29% STOP-LOSS HIT (7) • FILUSDT \| LONG \| −15.00% • IMXUSDT \| LONG \| −10.68% • AVNTUSDT \| LONG \| −9.45% • MONUSDT \| LONG \| −8.67% • NEARUSDT \| SHORT \| −6.34% • 2ZUSDT \| LONG \| −4.44% • REUSDT \| LONG \| −4.20% CLOSED AT BREAKEVEN (7) • GRTUSDT \| LONG \| 0.00% • CVXUSDT \| LONG \| 0.00% • BMTUSDT \| SHORT \| 0.00% • WLDUSDT \| LONG \| 0.00% • DOTUSDT \| LONG \| 0.00% • HOLOUSDT \| LONG \| 0.00% • GWEI \| LONG\| 0.00% STILL OPEN (2) • JSTUSDT \| LONG • THEUSDT \| LONG CANCELLED / MISSED (3) • ARIAUSDT \| SHORT \| Cancelled • LITUSDT \| SHORT \| Entry missed • ROSEUSDT \| LONG \| TP reached before entry PERFORMANCE SNAPSHOT 38 Total Calls 19 Reached TP 7 Hit SL 7 Closed at Breakeven 2 Still Open 3 Cancelled / Missed Important: The percentages above represent favorable or adverse price movement from the actual filled entry to the highest TP reached or SL exit. They are not absolute or realized trading returns. Actual performance depends on entry fills, position allocation and partial exits.	603
16	没有文字...	577
17	Security Incident \| Recovery Update #4: Withdrawals Resume in Phases (2026-11-01) Binance is preparing to resume phase one of withdrawals on 2026-11-01 between 06:00 and 09:00 (UTC). 👉🏻Learn more here	540
18	#HANAUSDT LONG Entry 1 : 0.01600 (30%) Entry 2 : 0.01420 (30%) Entry 3 : 0.01200 (40%) Targets : 0.01750 - 0.02000 - 0.02400 - 0.03000 Stoploss : 1D CLOSE BELOW 0.01030	582
19	Security Incident \| Recovery Update #3: 90% of Stolen Assets Replenished; Proof of Reserves Snapshot Provided (2026-10-31) Our last update explained that Binance had set aside more than $6.34B in company funds to cover hacked losses, and we had already covered approximately 80% of the impacted amount of the hacked loss at that time. That covered amount is now up to 90%. 👉🏻Learn more here	660
20	ETF Flows: 30 Oct 2026 Daily 🔴 Bitcoin ETFs: $643.2M net outflows 🔴 Ethereum ETFs: $155.7M net outflows 🔴 Solana ETFs: $10.8M net outflows ⚪ Hyperliquid ETFs: $0.0M net flow Weekly (Oct 26 - Oct 30) 🔴 Bitcoin ETFs: $202.4M net outflows 🔴 Ethereum ETFs: $431.4M net outflows 🔴 Solana ETFs: $71.6M net outflows 🔴 Hyperliquid ETFs: $0.6M net outflows Monthly (Oct 1 - Oct 30) 🔴 Bitcoin ETFs: $515.9M net outflows 🔴 Ethereum ETFs: $1,607.2M net outflows 🔴 Solana ETFs: $138.4M net outflows 🔴 Hyperliquid ETFs: $39.4M net outflows	711

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