📊 Weekly Sentiment Pulse: What the Crowd Really Did — and What Comes Next

This isn’t what people *tweeted*. 
This is what they actually *said*, in real-time, while trading with real positions, inside the private circles.

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⏳ Market Summary (Past 7 Days):

• Massive retail emotional volatility with sharp sentiment swings: from euphoric longs to total capitulation — sometimes in under 2 hours.
  
• The Mantra (OM) collapse created an emotional crater — retail bagholders in disbelief, some still hoping for a bounce, others panic selling into the floor.
  
• Solana and ETH shorts piled in hard after weekend resistance taps, driven mostly by fear of macro headlines and price fatigue.
  
• Meanwhile, BTC sentiment split in two camps: one screaming for 88k, the other preparing for 72k.
  
• Crowd still clinging to “hope coins” — with ONDO, FET, and CATBOY surfacing repeatedly in chat discussions as “safe” or “resilient,” despite market chaos.
  

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🔥 Emotional Hot Zones:

[spoiler=FOMO Clusters]
• Late longs on OM before the dump — now deeply underwater 
• "Moon soon?" messages flying for ONDO right after OM nuked 
• FET tagged as “next mover” without context — classic hopeful rotation
[/spoiler]

[spoiler=Panic Points]
• “Is OM recovering?” / “Was that a rug?” / “Telegram gone = RIP?” 
• “Should we short BTC now?” — flood of messages post 86k tap 
• “Exit scam confirmed?” — waves of anger turned into fearful silence
[/spoiler]

[spoiler=Delusional Resilience]
• “I’m still in 75x long, won’t close” 
• “Holding for 10x anyway” 
• “This will bounce, just wait — classic setup”
[/spoiler]

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🎯 Behavior Insights:

1. Herd Rotation Detected: 
Retail quickly migrated from OM → ONDO → FET → meme coins. 
They’re chasing the next safe haven — not because of fundamentals, but because of fear-induced displacement.

2. Positioning is Still Aggressive: 
Despite massive losses, users continue using 30x–75x leverage, showing no shift in risk posture. 
This opens up **liquidity traps** for smart players.

3. Trust Erosion in Alts: 
OM collapse triggered a trust cascade. Users openly question dev teams, tokenomics, even central exchanges. 
Sentiment among small-cap alt holders is deeply damaged.

4. “Exit Scam PTSD” is Real: 
Mentions of LUNA, TRB, and OM are all bundled together as “don’t-touch zones.” 
This fear is now bleeding into unrelated projects.

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📈 Trading Opportunities:

💀 Short Traps on Weak Rebounds: 
Retail’s looking to “buy the dip” blindly — great opportunity to short into fake recovery pumps on failed coins like OM.

💎 Hidden Accumulation Clues: 
Assets with low chatter but oddly positive tone = potential quiet buy zones. 
Examples this week: SUI, FIL, even a few mentions of TIA and FLR.

🧨 Emotional Leverage Overload: 
The crowd is still using high leverage into uncertain narratives. 
Watch for liquidation flush setups on assets they’re “all-in” on — particularly meme tokens and recent pump favorites.

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📉 Key Risks:

• Another OM-like unraveling — community is hyper-sensitive to dev silence and tokenomics exposure 
• Continued macro shocks (China/US headlines, ETF rejections) used as emotional catalysts 
• Retail refusal to derisk = perfect conditions for wipeouts

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🧠 Final Take:

The crowd isn’t just late. They’re emotional, overleveraged, and swinging between hope and panic in real time. 
They still believe the charts are real — but their behavior tells the true story.


I process this data daily. 
If you want access to analysis like this — built from real conversation flows, not headlines — 
drop me a DM. 

Yes, donations were mentioned early — and no one contributed, which means nothing was sold, nothing taken. Just a public experiment I kept improving.

Now with a working sentiment engine, access is open — $20/month to track real crowd behavior feels like a fair deal.

Whether you're after top-moving assets, meme mentions, or where drop hunters are farming — the use cases are wide.
Custom requests? Happy to help.

Not hype. Just a tool.
Use it smart.

Hey, appreciate the skepticism — totally fair in this space.

Just to clarify: this has been an experiment from day one. I’ve never taken a single dollar from anyone, and the early tests were open and transparent — including the part where the first version failed (gloriously).

Now that I’ve reworked the system, I’m only just starting to offer access, and only because the sentiment engine has proven to be actually useful, especially when parsing insights from influencer-only groups that others pay to access.

No promises of Lambos here. Just a smarter way to read the noise.

Old Model is Dead, Long Live the AI Overlord

After extensive testing (read: me slowly losing my sanity), I’ve officially scrapped the original trading AI. Why?
Because it was performing at a whopping 22% success rate—which is great if you're trying to lose money and make it look like science.

The new system is a full-blown AI-powered intelligence network. Instead of just looking at market data, it now scans hundreds of crypto influencers, private Discord/Telegram groups, and real-time sentiment across the web to generate signals.

Basically: it watches the chaos so you don’t have to.

If you have any indicators or metrics that have shown promising results in predicting price movements, I can integrate them as separate AI agents into the system. This way, we'll be able to see how they contribute to improving the overall forecast.

I didn't think to provide an example of AI work here, my mistake.

Stop loss is applied according to ATR (Average True Range).
Transactions in On-chain data are filtered by median, MAD and 95th percentile... and so on with each agent.
Then all the data is sorted, filtered and processed by different ML models.

Here how the result looks:
https://ibb.co/RpsPkDcf

Guys, the AI is ready!

I'd greatly appreciate your feedback and suggestions.
Access is free for Bitcointalk users—just message me on Telegram and include your forum nickname.

https://t.me/AI_Trading_Manager

https://bitcointalk.org/index.php?topic=5512186.0

Guys, I'd greatly appreciate your feedback and suggestions.
Access is free for Bitcointalk users—just message me on Telegram and include your forum nickname.
https://t.me/AI_Trading_Manager

I know it can’t be completely flawless, but just check out how spot-on some of these forecasts are:
https://x.com/lets_trade_ai/status/1857940039545610614
https://x.com/lets_trade_ai/status/1856395610913472885

Indicators are algorithms. But a machine learning model operates in a completely different way.
My AI is like playing chess with a chart, but it only calculates the opponent’s moves.


It definitely works, but only when combined with experience. That’s why I’m asking if there’s someone who trades professionally and can manage risks based on my data.

Did I understand correctly that you have a lot of trading experience?
Maybe you could help me with a strategy, please?

I’ve calibrated the AI, and the results are exceeding expectations.

Approximately 150 predictions for each of the 18 cryptocurrencies over the past month. Half of the coins fit into ideal statistics due to non-volatile predictions of 2%-5%, which were easily fulfilled over time.

Right now, I'm experimenting with different coins and just keeping those that show good statistics, while removing the others. Tracking down the reason why some assets are predictable while others aren’t remains a mystery to me.

Here’s how a good forecast and an anomalous one look:
https://i.ibb.co/Vt4X0bw/photo-2024-11-11-14-43-47.jpg
https://i.ibb.co/19m71jS/photo-2024-11-11-14-44-48.jpg

Yes, it’s possible to encrypt the code, but I prefer a security approach based on the black box principle.

The public test itself has already been launched.
I’ve also added an algorithm to check how effective the predictions are. For BTC, the success rate is currently around 75%.
Some coins have a 0% success rate, while others are at 90-99%.
Each coin needs to be calibrated individually.

As for a GPU VPS server — it could definitely make things easier, but I’d really prefer not to publish the code on external platforms.
The issue isn’t even the code itself, since all the ML models are public, but rather the specific AI configuration.

I’ve tested around 30 different indicators and calibrated them for various timeframes and the lifespan of each instrument. The results were mixed: some coins always showed sideways movement, while others, like STRK, predicted a +20% gain just before a pump. In fact, when 90% of the coins indicate a long, a long actually happens.

However, the issue is that the AI struggles to accurately pinpoint the start of local corrections. It feels like something is missing...


It's indeed AI, if we can even say that ML equals AI.

The logic of your AI is correct, but that's not how it works. A simple language model can't function the way you describe; everything needs to be built modularly.
First, you need to calibrate the pattern recognition in regular price fluctuations. Sentiment and news analysis is the second module, but that requires more power, like Amazon or Google Colab.

There are also modules 3 and 4, but that's another story.


I need a PC (2x4090, 128GB RAM) that can process the maximum dataset in under one minute. Right now, it takes about an hour.
The AI is already operational, but it's currently working with a dataset that has limited price history detail.

Here's the link: https://t.me/ai_lets_trade_1h

Every hour, it gathers new market data, trains on it, and sends a report to the channel. However, the report is incomplete—it only includes the minimum and maximum forecasted prices.
In reality, the forecast represents a continuous stream of prices. The module that will display this is still under development, as is an additional AI that will analyze the forecasts generated by this AI.

If you have any suggestions or feedback, please feel free to provide them. I am always open to constructive input.

The AI already uses basic indicators, but I want to figure out how to combine them. Or maybe use all of them at once, it's still unclear.

I'm open to a public test and am trying to launch a beta version, but I don't have enough resources yet.

Thanks for the idea about open-source trading bots, I hadn’t thought of that before.

My apologies for that, I'm not a forum guy.

Not yet, the AI is currently trying to identify correlations between past and present price movements.
Sentiment and news analysis is stage 2, which requires additional time.
In total, the AI will consist of four AIs managed by a fifth.
Thanks!

I don’t sample my own product 

Thanks for the info!
Yes, the beta version is ready, but I'm not quite sure at what stage to run a demo or start monetizing.

The dataset includes OCHLV + 26 additional parameters. More coins mean more predictions and more data to analyze.
Insider trading cannot be tracked at this stage.
Need to implement on-chain analysis and sentiment first.

That's right. Creating AI now is not like it was 10 or even 5 years ago.
The AI works with the data that the Binance provides.
The only thing that can be done is to host the AI in Binance's data center.

Trading is not for me.
Of course, hedge funds use AI, as do market makers.
However, their algorithms also tend to repeat themselves because they react to people, and people don't change.

At this point, this tool is for traders who can manage on their own. It’s just another indicator to rely on TBH.

Cheers!

Hey guys,

I have developed a AI model that forecasts the prices of Bitcoin and 17 other cryptocurrencies. This is not just another standard solution—this AI is a custom-built, hybrid model designed from the ground up to deliver accurate predictions and adapt to various market conditions.

Currently, the AI runs on a 1-hour timeframe, generating price predictions for the next 72 hours. The system is fully automated, with the flexibility to add additional cryptocurrencies and adjust the timeframes. In fact, it can operate on timeframes as short as 1 minute, providing forecasts 2-3 hours in advance. Forecasts are delivered to a dedicated Telegram channel.

However, there’s one small challenge: my current setup simply cannot handle the data volume required for smaller timeframes. What I need is a high-performance system worth $6,500, complete with dual 4090 GPUs. As of now, my PC is doing its best but can only manage the 1-hour timeframe for all 18 coins.

For a reasonable investment, I’m offering exclusive early access to these AI-driven forecasts, and more importantly, I’m looking for a strategic partner to scale the infrastructure and help market the product to its full potential.

I also share the most interesting forecasts on Twitter for those who want a sneak peek. You can check it out here:
https://x.com/lets_trade_ai

For further discussion, reach out to me via Telegram:
https://t.me/letstrade_ai

Hey comrades!

I’m working on my own AI that forecasts cryptocurrency prices, but here’s the catch: I desperately need funds for new GPUs. My current setup just can’t handle these massive datasets!

So, I’m offering you the chance to join the early stages of the project for a symbolic donation.

Here’s what the AI currently does:

Predicts 18 different coins
Forecast horizon: 72 hours, with a 1-hour timeframe
Sends automatic predictions to Telegram every hour at hh:00:55
I’m using purely market data for now—sentiment analysis is still in the works.
The AI is forecasting the following coins:

/BTC - Bitcoin
/ETH - Ethereum
/LTC - Litecoin
/BNB - Binance Coin
/TRX - TRON
/XRP - Ripple
/SOL - Solana
/DOGE - Dogecoin
/APT - Aptos
/ICP - Internet Computer
/STRK - STRK
/ZRO - Layer Zero
/TON - The Open Network
/G - Galaxy
/AVAX - Avalanche
/ATOM - Cosmos
/ETC - Ethereum Classic
/W - Wormhole
Jump in early, and let’s build this together!

Hey everyone!

I’ve built an AI that forecasts prices for 18 different coins—Bitcoin included. But I could really use some help fine-tuning it, especially when it comes to technical indicators.

If you’ve noticed which indicators work best for certain coins, or spotted any unique patterns on specific timeframes, I’d love to hear your thoughts. Maybe you’ve got insights I’m missing?

I’d be grateful for any help you can offer. I might code like a wizard, but my trading skills... well, they could definitely use some backup 😅.

Thanks a ton in advance!

DM_tg: letstrade_ai

Hello, everyone.

I’ve developed an AI model that forecasts Bitcoin and 17 other cryptocurrencies. This isn't your run-of-the-mill model – it's a custom-built hybrid, coded from scratch.

Right now, the AI operates on a 1-hour timeframe and predicts prices up to 72 hours ahead. Everything is fully automated with the flexibility to add any coin and adjust to any timeframe. For example, I could run 1-minute timeframes predicting prices 2-3 hours in advance. The forecasts are currently sent to a Telegram channel every hour, like clockwork.

But there's one small hiccup: my current PC can't handle the datasets for those smaller timeframes. So, what I desperately need is a high-performance machine worth $6,500 with dual 4090s. At the moment, my humble setup is barely keeping up with the 1-hour timeframe for all these coins.

For a modest fee, I can offer access to these AI-driven forecasts.
I’m seeking a strategic partner to invest in infrastructure and marketing.

I’ve also got a Twitter account where I post only the most interesting predictions.
Feel free to check it out and see how it looks in action:
https://x.com/lets_trade_ai

You can find me here:
https://t.me/letstrade_ai

Hi, we can discuss colaboration. We started ne project based on Ai technology.
So we are looking for a new customers to our project.
Could you help us with it?