Crypto Freemium
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Free channels (use /free) & Elites Hub membership - @Eliteshubmembership_bot ----------- For queries contact : https://t.me/Eliteshubhelp
Mostrar más📈 Análisis del canal de Telegram Crypto Freemium
El canal Crypto Freemium (@crypto_freemium) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 11 650 suscriptores, ocupando la posición 8 340 en la categoría Criptomonedas y el puesto 3 115 en la región Malasia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 11 650 suscriptores.
Según los últimos datos del 03 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -137, y en las últimas 24 horas de -2, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.31%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 4.26% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 735 visualizaciones. En el primer día suele acumular 497 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
- Intereses temáticos: El contenido se centra en temas clave como tp1, powell, yield, bbg, tariff.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Free channels (use /free) & Elites Hub membership - @Eliteshubmembership_bot
-----------
For queries contact :
https://t.me/Eliteshubhelp”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 04 noviembre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Criptomonedas.
11 650
Suscriptores
-224 horas
-537 días
-13730 días
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| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 04 noviembre | +4 | |||
| 03 noviembre | +1 | |||
| 02 noviembre | +1 | |||
| 01 noviembre | +1 |
Publicaciones del Canal
| 2 | Auto signals from our custom indicator begin starting this weekend.
We recommend you to not fomo trade our signals and observe before taking them.
We are not here to fake like clowns that are desperate to sell memberships. | 287 |
| 3 | 📥 #UNI/USDT · 🟢 LONG · Entry 1 ✅
Filled
7.38
· 50% of ladder
Avg entry
7.38
· Position 50% filled
⏱ 4h 1m since signal
04 Nov 12:15:18 UTC | 335 |
| 4 | Entry 1 filled. | 340 |
| 5 | #UNIUSDT LONG
Entry 1 : 7.38 (50%)
Entry 2 : 6.50 (50%)
Targets : 7.88 - 8.67 - 9.55
Stoploss : 1D CLOSE BELOW 6.14 | 329 |
| 6 | 🎯 #GMX/USDT · 🟢 LONG · Take-profit 1 ✅
Price 8.91 · Profit +6.71%
⏱ 1d 1h 51m since signal · 1d 1h 51m since entry
04 Nov 14:33:35 UTC | 340 |
| 7 | ETF Flows: 03 Nov 2026
Daily
🔴 Bitcoin ETFs: $115.6M net outflows
🔴 Ethereum ETFs: $85.3M net outflows
⚪ Solana ETFs: $0.0M net flow
🟢 Hyperliquid ETFs: $0.6M net inflows
Weekly (Nov 2 - Nov 3)
🔴 Bitcoin ETFs: $514.2M net outflows
🔴 Ethereum ETFs: $225.0M net outflows
⚪ Solana ETFs: $0.0M net flow
🔴 Hyperliquid ETFs: $2.3M net outflows
Monthly (Nov 2 - Nov 3)
🔴 Bitcoin ETFs: $514.2M net outflows
🔴 Ethereum ETFs: $225.0M net outflows
⚪ Solana ETFs: $0.0M net flow
🔴 Hyperliquid ETFs: $2.3M net outflows | 435 |
| 8 | #ZROUSDT LONG
Entry 1 : 1.800 (50%)
Entry 2 : 1.600 (50%)
Targets : 1.940 - 2.140 - 2.340
Stoploss : 1D CLOSE BELOW 1.520 | 1 |
| 9 | #1000PEPEUSDT LONG
Entry 1 : 0.00482 (50%)
Entry 2 : 0.00430 (50%)
Targets : 0.00518 - 0.00566 - 0.00618
Stoploss : 1D CLOSE BELOW 0.00405 | 1 |
| 10 |  Sin texto... | 488 |
| 11 |  +1#XAG | 478 |
| 12 | #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 | 567 |
| 13 | #XMRUSDT LONG
Entry 1 : 614 (50%)
Entry 2 : 540 (50%)
Targets : 655 - 726 - 796
Stoploss : 1D CLOSE BELOW 519 | 556 |
| 14 | 🇺🇸 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! 📈
━━━━━━━━━━━━━━━━━━ | 632 |
| 15 |  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 | 659 |
| 16 | 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: $2.9M net outflows | 602 |
| 17 | They've repeated it throughout the last 5 years. All while trying to portray like they know what they do. While all they do is mess around. | 646 |
| 18 | Since October link rejected exactly at 12.5$
And hit invalidation level.
Today there is new setup at 10% below invalidation level with tp 10-50%
That's the scam game. | 627 |
| 19 |  Today :
#LINK
Accumulation Zone $10.73 - $9.33.
Invalidation - Daily close below $8.90
Target - 10% - 50% | 636 |
| 20 |  Example :
21 October
#LINK targeting $13.2 - $13.5 in the short term
Invalidation $11.5 | 591 |
