Gem Hunters
The #1 crypto channel for discovering hidden gems in the cryptocurrency market. @gem_hunter_crypto Trade setups, market analysis, and trader psychology — everything you need to navigate the crypto market with confidence. https://t.me/+U0T0nUNN-P9jYWNk
Show more📈 Analytical overview of Telegram channel Gem Hunters
Channel Gem Hunters in the English language segment is an active participant. Currently, the community unites 123 503 subscribers, ranking 895 in the Cryptocurrencies category and 183 in the Malaysia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 123 503 subscribers.
According to the latest data from 08 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -1 654 over the last 30 days and by -202 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 4.30%. Within the first 24 hours after publication, content typically collects 4.59% reactions from the total number of subscribers.
- Post reach: On average, each post receives 5 318 views. Within the first day, a publication typically gains 5 671 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 149.
- Thematic interests: Content is focused on key topics such as gem, bybit, hunter, breakout, setup.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“The #1 crypto channel for discovering hidden gems in the cryptocurrency market.
@gem_hunter_crypto
Trade setups, market analysis, and trader psychology — everything you need to navigate the crypto market with confidence.
https://t.me/+U0T0nUNN-P9j...”
Thanks to the high frequency of updates (latest data received on 09 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Cryptocurrencies category.
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| Date | Subscriber Growth | Mentions | Channels | |
| 09 November | 0 | |||
| 08 November | 0 | |||
| 07 November | 0 | |||
| 06 November | +8 | |||
| 05 November | +253 | |||
| 04 November | 0 | |||
| 03 November | +434 | |||
| 02 November | +128 | |||
| 01 November | +550 |
👾 My primary BTC scenario involves another move toward $77,000, followed by a decline to $74,200–$74,500. If selling pressure accelerates, the next major target is around $73,000, where the lower boundary of the descending structure provides potential support.ETH looks similarly weak, trading around $2,240 inside a descending channel. Price is struggling near the $2,220–$2,250 resistance zone. A temporary recovery toward $2,300–$2,320 remains possible, but I expect the descending trendline to limit further upside. For next week, my main ETH targets are $2,175 and $2,120. A rejection from resistance would strengthen the bearish scenario, while a sustained breakout above $2,320 would force me to reconsider it. For now, I prefer waiting for short opportunities rather than chasing longs 🥶
| 2 | 💸 TOTAL2 & TOTAL3 — Is Another Altcoin Drop Coming?
TOTAL2 is trading near $995B, remaining inside a descending channel on the 4H timeframe. Buyers are struggling to regain control, while the recent rebound failed to establish a bullish structure. For now, sellers continue to dominate.
The nearest resistance sits around $1.035T–$1.045T, where a BPR overlaps with the channel’s upper boundary. A rejection from this area could trigger another decline toward $945B. A stronger breakout would open the way toward the FVG near $1.14T 🥳
TOTAL3 looks even weaker, currently trading around $722B. Price remains inside its descending channel, with a bearish FVG at $736B–$750B. This zone could attract a short-term recovery, but it also represents a significant resistance area.
My main scenario involves a temporary rebound followed by another selloff. For TOTAL3, the key downside target is $705B, with deeper support near $692B. Until these bearish structures break, I remain cautious about aggressive altcoin longs 🔫 | 8 079 |
| 3 | 🔥 October 10, 2025 — How Liquidations Fueled the Crash and Rebound.
Friends, I’ve prepared a real example from October 10, 2025, to show how the market can recover sharply after a massive crash. In the video, I break down what triggered the sell-off and why the subsequent rebound was possible.
The market reacted to negative news with panic selling, triggering a chain reaction of leveraged liquidations. Short-term holders also began dumping their positions, adding even more selling pressure and accelerating the decline.
But massive liquidations eventually created an opportunity for whales. As forced selling faded and prices became attractive, large players started buying. This shift helped fuel the rebound. I’ve explained the entire sequence step by step in the video 💸 | 8 014 |
| 4 | 🔥 October 10, 2025 — How Liquidations Fueled the Crash and Rebound.
Friends, I’ve prepared a real example from October 10, 2025, to show how the market can recover sharply after a massive crash. In the video, I break down what triggered the sell-off and why the subsequent rebound was possible.
The market reacted to negative news with panic selling, triggering a chain reaction of leveraged liquidations. Short-term holders also began dumping their positions, adding even more selling pressure and accelerating the decline.
But massive liquidations eventually created an opportunity for whales. As forced selling faded and prices became attractive, large players started buying. This shift helped fuel the rebound. I’ve explained the entire sequence step by step in the video 💸 | 1 |
| 5 | 🔥 Why Does the Market Bounce After a Massive Crash?
Have you noticed how Bitcoin can suddenly rebound 5–10% after a massive sell-off, even when there seems to be no real buying interest? These movements are often driven by market mechanics rather than a genuine return of bullish sentiment 💸
During a sharp decline, leveraged long positions get liquidated, triggering forced market sells. These orders push prices lower, causing further liquidations. This creates a liquidation cascade, where selling pressure accelerates until vulnerable positions are cleared.
Once the cascade ends, aggressive selling can suddenly disappear. At the same time, traders who opened shorts during the decline begin taking profits. Closing a short requires buying back the asset, creating additional demand even without new bullish positions entering the market 🛥
Another factor is thin liquidity. After a violent crash, order books often become less liquid as market makers reduce exposure. With fewer sell orders available, even moderate buying from short covering can push prices sharply higher, creating a powerful technical rebound.
However, a sharp recovery doesn’t automatically signal a bullish reversal. I watch Open Interest, CVD, trading volume, and market structure. If prices rise while Open Interest falls, short covering may be driving the move rather than fresh long demand 🚀 | 7 994 |
| 6 | 🔥 Is the AI Bubble Starting to Burst?
As US technology stocks continue to face selling pressure, investors are increasingly questioning the massive valuations of AI companies. According to Bloomberg and Hyperliquid, Anthropic’s indicative pre-IPO valuation has fallen approximately 16% from its October 19 peak, reaching $1.66 trillion. The latest session alone saw a 3.1% decline.
But the situation in China is even more interesting. The sell-off in its AI sector started earlier, with the STAR50 index, which includes major technology and semiconductor companies, losing around 40% in less than four months. Approximately $480 billion in market capitalization has been wiped out. This is no longer just a minor correction.
🛥 The main problem is that investors are starting to ask uncomfortable questions. Will massive investments in data centers, chips, and computing infrastructure generate the expected returns? If companies begin cutting AI infrastructure spending, the consequences could spread across the entire industry, from semiconductor manufacturers to cloud providers.
And this brings us to the biggest question: is the AI bubble finally starting to burst? It’s still too early to predict a collapse of the entire sector, but signs of excessive expectations are becoming increasingly visible. AI technology isn’t going anywhere, but that doesn’t necessarily mean every company benefiting from the hype deserves its trillion-dollar valuation 👾 | 8 133 |
| 7 | 🔍 Educational Lesson #4 — Order Flow: How to Read Real Buying and Selling Pressure.
Hello, friends! Today we’re exploring market mechanics. Order Flow analyzes executed trades, showing how buyers and sellers interact at specific price levels. Unlike traditional technical analysis, it helps us understand what happens inside price movements.
The first concept is Market Orders vs. Limit Orders. Market orders execute immediately against available liquidity, while limit orders provide liquidity. Aggressive buyers lift the ask, while sellers hit the bid. However, strong market buying doesn’t guarantee higher prices.
Next comes Delta and Cumulative Volume Delta (CVD). Delta measures the difference between aggressive buying and selling. Positive Delta indicates buying dominance, while negative Delta indicates selling pressure. CVD tracks this imbalance over time. If price makes a new high without CVD confirmation, buying pressure may be weakening, although divergence alone doesn’t confirm a reversal 💸
Another key concept is Absorption. Imagine BTC repeatedly testing $80,000 with strong buying volume but failing to break higher. Passive sellers may be absorbing aggressive buyers. Once buying pressure fades, a sharp reversal becomes possible. The opposite occurs when passive buyers absorb selling near support.
👾 Footprint Charts and Volume Imbalances show executed buying and selling at individual price levels within candles. They help identify aggressive participation, imbalances, and exhaustion. However, high volume doesn’t automatically create strong support or resistance. Price reaction matters more than volume alone.
I combine Order Flow with market structure, liquidity, FVGs, and Order Blocks. First, I identify a key zone, then observe how aggressive orders interact with passive liquidity. If price sweeps a high while Delta rises but fails to continue higher, it may signal a liquidity trap 🛥 | 7 986 |
| 8 | 💸 Gold & Silver — Preparing for a Major Reversal?
I’m looking at gold and silver. Both metals remain under pressure, but their charts suggest that a potential reversal may be approaching. I’m watching key support zones before considering bullish scenarios 🔍
Silver (XAG) is trading near $52 inside a massive falling wedge on the daily chart. Price recently tested the lower boundary around $49 and bounced. The structure looks promising, but a confirmed breakout is still missing.
My first target for silver is the $58–$60 resistance zone. A breakout and successful retest could open the way toward $63–$65, followed by $75–$78. In the longer term, I’m watching the $90 area.
Gold (XAU) is trading near $4,070 after recovering from $3,880. Locally, I expect a pullback into the $3,980–$4,020 FVG before another attempt to break the $4,140–$4,160 resistance zone.
If buyers defend the FVG, my next targets for gold are $4,220–$4,260, followed by $4,500–$4,550. Both metals have interesting recovery potential, but I want confirmation before entering long positions 👾 | 8 346 |
| 9 | 🔥 ARB SHORT | SETUP
I’m looking for a short opportunity on ARB. The 4H chart shows a clear bearish structure, with price forming lower highs and trading below a descending trendline. The latest recovery has brought ARB directly into a key resistance area.
ARB is currently trading around $0.170, testing the lower boundary of a bearish Order Block at $0.172–$0.179. This supply zone also aligns with the descending trendline, creating a strong area of confluence. I’m watching for a rejection before the next move lower.
My preferred scenario is a liquidity sweep toward $0.172–$0.175, followed by bearish continuation. The first downside target is $0.157, followed by $0.142. The main target is the daily bullish Order Block at $0.133–$0.142, where I expect buyers to become more active.
💎 Entry: $0.170
💎 Stop Loss: $0.1825
💎 Targets: $0.157, $0.142, $0.133
The setup remains bearish as long as ARB stays below the Order Block and descending resistance. A sustained breakout above $0.1825 would invalidate my short scenario. For now, I’m watching for selling pressure to return and push price toward the major demand zone 🔍 | 8 191 |
| 10 | 👾 DXY — How Does the Dollar Affect Crypto?
Hello, friends! DXY measures the US dollar’s strength against six major currencies. When DXY rises, BTC and altcoins often face selling pressure. A weaker dollar, on the other hand, can create favorable conditions for crypto growth.
On the weekly chart, DXY is forming a massive multi-year symmetrical triangle. Currently trading around 102, the index is approaching its descending resistance 💸 The narrowing structure suggests a significant breakout could be ahead.
My primary scenario involves a rejection from the 102–103 resistance area, followed by a decline toward 94–95. If selling pressure continues, the next major target is the 88–90 demand zone, where I’ll be watching for a potential reversal.
An alternative scenario involves a temporary pullback, another test of 102–103, and then a deeper decline. After reaching the lower demand zone, I expect a possible recovery toward 106–107, provided buyers regain control.
For crypto, this matters a lot. A declining DXY could support BTC and altcoins, while a strong dollar recovery may trigger renewed selling pressure. However, liquidity, Fed policy, and overall risk sentiment remain equally important 🛥 | 8 245 |
| 11 | 🚀 DeFi — AAVE, UNI & LINK: Where Are the Best Spot Opportunities?
I’m comparing three assets from the DeFi sector: AAVE, UNI, and LINK. Although they belong to the same sector, their market structures are quite different. With the market still under pressure, I want to identify which assets offer the most attractive opportunities for future spot accumulation.
AAVE continues to show a bearish structure on the 4H timeframe. The price has lost key support levels and keeps forming lower highs. As long as BTC remains weak, I see no reason to rush into spot purchases. First, I want to see a solid base forming, a reclaim of local resistance levels, and clear signs of buying pressure.
LINK looks more interesting in terms of potential demand zones 🛥 Currently trading around $10.80, the price is testing its ascending trendline. If this support breaks, I’m watching the FVG at $8.40–$8.70, followed by the order block at $7.80–$8.20. These are the areas where I’ll consider gradually accumulating spot positions, provided buyers show a convincing reaction.
UNI appears to be the weakest of the three. Trading around $6.82, the price has already broken below its ascending trendline and lost the $7.00–$7.30 support area. If selling pressure continues, I’m targeting $3.30–$3.60, followed by $2.80–$3.10. From a spot investment perspective, these zones look significantly more attractive than current prices.
In terms of relative strength, LINK is still holding closer to its ascending support, while UNI is already showing signs of a structural breakdown. AAVE also remains under pressure. Personally, I’m not interested in catching falling knives. I’ll wait for price to reach my target zones, followed by accumulation, increasing buying volume, and clear reversal confirmation before entering spot positions 💸 | 8 043 |
| 12 | 🥶 BTC — The market followed our November 1st prediction perfectly!
Friends, just look at these two charts! The second screenshot shows my analysis from November 1st, while the first shows today’s price action. The accuracy of the predicted direction is incredible!
Back on November 1st, I expected BTC to recover into the resistance zone around $80,500–$81,000 before facing another strong rejection. That’s exactly what happened! Bitcoin returned to our marked area and then dropped sharply toward $75,500–$76,000.
This is why I always focus on market structure, liquidity, FVGs, and order blocks rather than chasing random price movements. The reaction from our resistance zone was almost textbook-perfect 🔫
Now BTC is trading around $76,800, and my bearish outlook remains unchanged. A temporary bounce toward $78,000–$78,500 is possible, but I’m still targeting further downside toward $72,500.
The November 1st chart speaks for itself. The direction was mapped out in advance, and the market delivered. Now I’m staying focused on the next move lower 🚀 | 8 522 |
| 13 | 🛥 How Do Options Affect Bitcoin Before Expiration?
Bitcoin doesn’t always move according to technical analysis or spot market demand. Before major options expirations, price behavior can change significantly. Large concentrations of open interest at specific strike prices create conditions where market makers’ hedging activity can influence short-term volatility and price direction.
Gamma Exposure (GEX) measures how rapidly options dealers’ delta exposure changes as Bitcoin moves. When dealers are net long gamma, their hedging typically involves selling into rallies and buying into dips. This can suppress volatility and keep BTC trading within a relatively narrow range.
When dealers are net short gamma, the opposite happens. They may need to buy as Bitcoin rises and sell as it falls, amplifying existing movements. This creates conditions for sharp breakouts, liquidation cascades, and unusually aggressive price action around major options strikes 👾
Another important concept is price pinning. Near expiration, Bitcoin can repeatedly return to a heavily traded strike because of hedging flows. However, a large concentration of options at one strike doesn’t automatically guarantee that price will gravitate toward it. The effect depends on dealer positioning, gamma exposure, and market liquidity.
After expiration, some of these hedging pressures can disappear as contracts settle and positions are rolled or closed. This may allow Bitcoin to break out of its previous range, although expiration alone doesn’t determine direction. That’s why I watch major strike concentrations, estimated GEX, and changes in open interest before large BTC options expirations. 🔍 | 8 443 |
| 14 | 💎 LINKUSDT — Taking profit!
The short position delivered an excellent +$114,974, so I decided to secure half of the position, locking in approximately $57,487 in profit 🚀
The remaining half was moved to breakeven, but the market reversed this morning and triggered my stop-loss. No complaints — the trade played out nicely, and I managed to secure a solid profit.
Another successful short! Profit secured, risk managed, and now I’m looking for the next opportunity 🥶 | 7 730 |
| 15 | 🚀 BTC Options Expiry | Why Does Bitcoin Behave Strangely?
Guys, have you noticed how BTC sometimes gets stuck around a certain price before options expiration, then suddenly makes a strong move? There’s a reason behind this.
The key concept is Gamma Exposure (GEX). It reflects how option sensitivity changes as BTC moves. Market makers hedge their positions through spot or futures, constantly adjusting their exposure.
Here’s how it works:
🛥 Positive Gamma: Dealers typically buy dips and sell rallies, reducing volatility and keeping BTC near major strikes.
🛥 Negative Gamma: Dealers may buy rallies and sell declines, amplifying price movements.
Let’s take an example.
Imagine BTC trading around $80,000, where significant options positioning is concentrated. Positive dealer gamma can help keep price near that level.
As expiration approaches, gamma sensitivity can increase near major at-the-money strikes. Once contracts expire, some hedging pressure disappears, potentially triggering stronger moves.
What am I watching? 👾
I track Open Interest, estimated GEX, expiration dates, and BTC market structure to identify potential volatility zones.
Remember, large Open Interest doesn’t guarantee a reversal or reveal dealer gamma positioning.
Sometimes the options market explains price action better than the chart alone. | 3 102 |
| 16 | US Markets: What’s Going On?
Well, guys, the US has given us quite a few reasons to watch the charts closely this week. 🥶
First, the labor market. JOLTS came in at 7.523M job openings, beating expectations of around 7.15M. That’s another sign of a resilient US economy, giving the Fed less reason to rush into rate cuts. The 10-year Treasury yield climbed to 4.96%, adding pressure on risk assets.
Wall Street finished Tuesday with mixed results: Nasdaq +0.83%, S&P 500 +0.36%, Dow Jones −0.38%. Tech stocks recovered, but the broader market still showed signs of weakness.
Meanwhile, Democrats secured control of both chambers of Congress in the US midterm elections 🛥 Markets were volatile overnight, but by Wednesday morning, S&P 500 futures were up 0.87% as investors assessed the prospect of divided government.
💎 What about crypto?
BTC initially struggled with the uncertainty but recovered toward $78,350, while ETH traded around $2,323. The rebound is encouraging, although stronger employment data and elevated bond yields are still limiting risk appetite.
For now, I’m watching whether Nasdaq can sustain its recovery and whether BTC can build momentum above $80K–82K. Until that happens, I see no reason to rush into aggressive longs.
Plenty of volatility ahead. Patience will matter more than ever. | 6 430 |
| 17 | What Is Liquidity and Why Does Smart Money Hunt It? 💎
In trading, liquidity is the collection of buy and sell orders waiting in the market. In the Smart Money Concepts (SMC) approach, liquidity is usually found above previous highs and below previous lows, where traders place their Stop Losses and pending orders. These areas are often called Liquidity Pools.
Why Does Smart Money Target Liquidity? Large players (institutions and market makers) need significant liquidity to enter or exit large positions without causing excessive price movement. That’s why price often moves towards areas where many Stop Losses are placed 🥶 When these orders get triggered, they provide the liquidity needed for larger players to execute their trades.
How Can You Identify Liquidity?
Pay attention to Equal Highs (EQH), Equal Lows (EQL), previous swing highs and lows, and previous day highs and lows. These are common areas where liquidity builds up. When price briefly breaks one of these levels and then reverses, it may indicate a Liquidity Sweep — a potential sign that the market is preparing for a move in the opposite direction.
Key Takeaway.
Don’t just trade breakouts blindly. Learn to identify where liquidity is resting, watch how price reacts when those levels are swept, and wait for confirmation before entering a trade. Remember: liquidity doesn’t guarantee a reversal, but understanding it can help you read market movements more effectively 🚀 | 7 301 |
| 18 | Well… 🥳
"Uptober" has concluded with a correction. We are facing a highly volatile week ahead—especially considering the corrections currently unfolding within the AI and tech sectors in the U.S. Crypto, for now, is holding steady.
I’d like to believe that what we’re seeing is a major correction before the uptrend resumes. BUT! As long as BTC remains below $82k, there is no confirmation that the rally will continue. We need to see the price consolidate above $82k, and then $85k, to clear the path toward $95k–$100k. I believe this move could play out before the end of the year.
🥶 If the sell-off in the stock market continues, BTC could potentially dip down to test the $75k level. | 8 827 |
| 19 | Crypto Market Sentiment.
Good morning, traders! 🔍 BTC is trading around $77,000, with an aggregate open interest (OI) of approximately $52.6 billion.
The liquidation heatmap clearly highlights key levels. The highest liquidity is concentrated in the $77,400–$77,600 range, while another significant cluster lies in the $78,300–$79,000 zone—this serves as the primary target for a short-term upside move, provided BTC can consolidate above the local resistance level of $77,500.
Since my last update, the Fear & Greed Index has dropped by 14 points. I interpret this as a potential upward correction before a further decline. Historically—and you’re likely aware of this—for the market to truly shift into a bullish trend, people need to experience significant fear (ideally, the index should drop to around 20–22 points).
At the moment, the market appears to be gearing up for a sharp, impulsive move rather than sideways consolidation, so stay alert 🥳 | 8 556 |
| 20 | Why Should Crypto Traders Pay Attention to Japan’s Interest Rate?
💎 Most crypto traders follow the Federal Reserve and US economic data. But there’s another central bank that can influence Bitcoin and global financial markets: the Bank of Japan (BOJ).
Why does Japan matter? For years, Japan maintained extremely low interest rates, allowing investors to borrow yen cheaply and invest in higher-yielding assets. This strategy is called the yen carry trade.
For example, an investor borrows yen at 0.5% and invests in an asset yielding 5%. The difference looks attractive, but there’s a risk: if the yen strengthens, currency losses can quickly erase those profits.
What happens when Japan raises rates? Borrowing becomes more expensive, and investors may start closing carry trades 🥳To repay their loans, they sell assets and buy back yen. If this happens on a large scale, selling pressure can spread to stocks and cryptocurrencies.
Bitcoin is especially vulnerable when investors reduce leverage across global markets. That’s why BTC can fall sharply even without negative crypto-specific news.
Does a BOJ rate hike always mean BTC will fall? No. Expected decisions are often priced in. What matters is whether the BOJ surprises the market and how investors react.
What do I watch? The USD/JPY exchange rate, BOJ decisions, and global stock markets. A rapidly strengthening yen combined with falling equities can signal growing pressure on risk assets 🥶
The main takeaway: Bitcoin is influenced by global liquidity. Understanding Japan’s monetary policy can help explain sudden market volatility and identify potential risks before entering a trade. | 8 555 |
