The Golden Pocket retest is underway. 30,085 is the level to watch
Break above it and the options market could open up.
All eyes on the next move
Dwaelo 9️⃣ retweeted
Attackers don't guess. They enumerate. Our free scanner does exactly that, showing you every endpoint, tool and permission an outsider could map without touching your code. No score, no false comfort. Just the list you probably don't have. hermesshield.ai
12 of 16 surprises aligned with BTC’s move after one hour. Give it four hours and the hit rate drops to 56%
Dwaelo 9️⃣ retweeted
📊 Since Aug 2024, when US CPI surprised, BTC moved the way the surprise pointed 75% of the time (12 of 16 prints).
For one hour.
After 4 hours: 56%. A coin flip.
CPI is out today, 12:30Z. BTC has been capped under 84,369 for four days.
Our plan, mapped 🧵
What happens when the buyers run out?
Something is off about this $BTC move.
Futures only rally in Asian session where everything else sold off.
What could possibly go wrong…
Could see another leg down but I’d wait for confirmation before getting too bearish 😂
Dwaelo 9️⃣ retweeted
$BTC RSI has ran into a major resistance level that's been persistent since the top.
I imagine lower from here and no substantial break higher for the short term.
Alts will follow but I imagine some will show relative strength. $ETH might be one of them but lets see.
$BTC has now broken from the wedge I have been tracking. Expect selling to pick up around NYO and post 3pm UK time.
Happy Hunting!
Everyone wants to call the bottom after one bounce 😂 Let price prove it first
BTC is currently in a rising wedge breakdown is now 68% before another touch of 84200.
Be cautious here this was a nice bounce but nothing goes up in a straight line. Especially with CPI in 70 hours time.
Very important that you manage tight risk when playing these wedges but in my opinion the bottom hasn’t been formed just yet. We’re close but still some work to be done to establish a clear structure.
bitcoin:native ⬇️
Dwaelo 9️⃣ retweeted
BTC is currently in a rising wedge breakdown is now 68% before another touch of 84200.
Be cautious here this was a nice bounce but nothing goes up in a straight line. Especially with CPI in 70 hours time.
Very important that you manage tight risk when playing these wedges but in my opinion the bottom hasn’t been formed just yet. We’re close but still some work to be done to establish a clear structure.
bitcoin:native ⬇️
Dwaelo 9️⃣ retweeted
Very very thin this weekend. near:native
Almost nobody is there X exchange.
I estimate the forced selling alone will push us through the biggest band at 5.30/5.40.
Let's see.
Pushing size through near:native this weekend.
There is a pretty big short seller that trades around 5.3/5.6 on Hyperliquid. Once he’s out the way (he’s selling less each time). We can breakout.
As you know I will flip short if I need to but looking to push things higher with some spot/HL books today.
Let’s see.
The setup is pretty clean
Risk first conviction later
Leaning short on $NEAR here.
Invalidation above $5.5
Relative strength has remained as traders keep pushing longs into the price.
They become fuel if we push lower. Divergences and slopped resistance that was once support.
Keep it simple & don’t worry about being wrong if you risk is correct.
For educational purposes.
Happy hunting.
Dwaelo 9️⃣ retweeted
🥊 There's a fight going on under Bitcoin.
Since 00:00 UTC today, sellers have hit the bid with $118m of market selling.
BTC's reply: +0.5%.
Someone is absorbing it. Alts are not being absorbed. Here's what the data shows 🧵
Marketing really bouncing
Don’t miss this thread 🧵
Dwaelo 9️⃣ retweeted
I am not feeling longs at all here.
$BTC is in a wedge of some form. Breakdown = alts get hammered.
$NASDAQ is failing to break above its breakdown level.
Looks like shorts are heavily in play and $SOL is got a tone of spot bid. What happens when those buyers go underwater.
Markets could get seriously rough here.
Dwaelo 9️⃣ retweeted
Social trading was always exit liquidity with better lighting. At least now they're not pretending it's something else.
Dwaelo 9️⃣ retweeted
See your agent's attack surface from the outside in. The Hermes Shield scanner maps exactly what an attacker could probe, no credentials required. hermesshield.ai
Dwaelo 9️⃣ retweeted
The interesting part of AI trading isn’t asking an LLM, “Should I buy BTC?”
It’s using AI to build, test, deploy and continuously improve an entire fleet of trading agents.
Different agents watch different signals. Liquidations. On-chain flows. News. Unlocks. Macro. Liquidity. Price structure.
Each operates under its own rules and gets activated only when its regime is detected.
Then the loop compounds: every new piece of information can produce a new hypothesis, a new agent, or a better gate.
That’s the part that feels genuinely different.
AI isn’t replacing the trader.
It’s massively increasing how many strategies, signals and hypotheses a trading operation can investigate at machine speed.
That could be the real frontier of AI trading.
I want to talk a little bit about AI trading because I’ve been doing a lot of it recently.
It’s incredible. I am absolutely blown away. I can’t actually put into words but I am going to try.
My view coming into building algorithms with AI or actually trading with large language models as the analyst.
Let me tell you LLMs or VLMs cannot trade a market. It’s complete luck and they get confused and forward test things that simply aren’t real. It’s not possible, absolutely not and I’ve proven it if anyone want to see.
The real finding for me has been on @NousResearch hermes agent + @AnthropicAI.
Ai trading isn’t what you may think, I’m going to explain.
AI trading is trading algorithms at machine scale. Think about this, you build 20 agents, all has a specific they all have different rules. They learn from data: liquidations, on-chain, news, unlocks, macro, FED, price movements.
All have their own gate that tells them when to deploy what agent. What is the regime, quick and slow.
Quick being news and data, slow being a whale moved to an exchange or global liquidity flows, or many other things.
Then you keep learning. Once ai has twenty agents that have a harness to be honest constantly collecting incoming data from potentially all markets, you learn fast. And everything you learn goes towards making a new agent 21, 22, 23+ the fleet grows at machine scale.
It’s honestly crazy to even think about how many quants are actually building this. It’s only possible with AI and I think that is the frontier in AI trading.
I’ve been trading for almost 10 years & ran desks at great companies, with great quants, and have knowledge into the top tier firms and what they do.
Nothing comes remotely close to this.
If people find this interesting please leave a message. I also want to learn more.
The interesting part of AI trading isn’t asking an LLM, “Should I buy BTC?”
It’s using AI to build, test, deploy and continuously improve an entire fleet of trading agents.
Different agents watch different signals. Liquidations. On-chain flows. News. Unlocks. Macro. Liquidity. Price structure.
Each operates under its own rules and gets activated only when its regime is detected.
Then the loop compounds: every new piece of information can produce a new hypothesis, a new agent, or a better gate.
That’s the part that feels genuinely different.
AI isn’t replacing the trader.
It’s massively increasing how many strategies, signals and hypotheses a trading operation can investigate at machine speed.
That could be the real frontier of AI trading.
I want to talk a little bit about AI trading because I’ve been doing a lot of it recently.
It’s incredible. I am absolutely blown away. I can’t actually put into words but I am going to try.
My view coming into building algorithms with AI or actually trading with large language models as the analyst.
Let me tell you LLMs or VLMs cannot trade a market. It’s complete luck and they get confused and forward test things that simply aren’t real. It’s not possible, absolutely not and I’ve proven it if anyone want to see.
The real finding for me has been on @NousResearch hermes agent + @AnthropicAI.
Ai trading isn’t what you may think, I’m going to explain.
AI trading is trading algorithms at machine scale. Think about this, you build 20 agents, all has a specific they all have different rules. They learn from data: liquidations, on-chain, news, unlocks, macro, FED, price movements.
All have their own gate that tells them when to deploy what agent. What is the regime, quick and slow.
Quick being news and data, slow being a whale moved to an exchange or global liquidity flows, or many other things.
Then you keep learning. Once ai has twenty agents that have a harness to be honest constantly collecting incoming data from potentially all markets, you learn fast. And everything you learn goes towards making a new agent 21, 22, 23+ the fleet grows at machine scale.
It’s honestly crazy to even think about how many quants are actually building this. It’s only possible with AI and I think that is the frontier in AI trading.
I’ve been trading for almost 10 years & ran desks at great companies, with great quants, and have knowledge into the top tier firms and what they do.
Nothing comes remotely close to this.
If people find this interesting please leave a message. I also want to learn more.
Dwaelo 9️⃣ retweeted
I want to talk a little bit about AI trading because I’ve been doing a lot of it recently.
It’s incredible. I am absolutely blown away. I can’t actually put into words but I am going to try.
My view coming into building algorithms with AI or actually trading with large language models as the analyst.
Let me tell you LLMs or VLMs cannot trade a market. It’s complete luck and they get confused and forward test things that simply aren’t real. It’s not possible, absolutely not and I’ve proven it if anyone want to see.
The real finding for me has been on @NousResearch hermes agent + @AnthropicAI.
Ai trading isn’t what you may think, I’m going to explain.
AI trading is trading algorithms at machine scale. Think about this, you build 20 agents, all has a specific they all have different rules. They learn from data: liquidations, on-chain, news, unlocks, macro, FED, price movements.
All have their own gate that tells them when to deploy what agent. What is the regime, quick and slow.
Quick being news and data, slow being a whale moved to an exchange or global liquidity flows, or many other things.
Then you keep learning. Once ai has twenty agents that have a harness to be honest constantly collecting incoming data from potentially all markets, you learn fast. And everything you learn goes towards making a new agent 21, 22, 23+ the fleet grows at machine scale.
It’s honestly crazy to even think about how many quants are actually building this. It’s only possible with AI and I think that is the frontier in AI trading.
I’ve been trading for almost 10 years & ran desks at great companies, with great quants, and have knowledge into the top tier firms and what they do.
Nothing comes remotely close to this.
If people find this interesting please leave a message. I also want to learn more.