$CODX 👀
Pressure is building HARD here.
After months of selling and dead price action… this chart is now compressing into a tight apex with momentum turning up.
The Technicals:
✅ Tight triangle breakout attempt
✅ Higher lows forming → bulls stepping in
✅ TTM Squeeze loading volatility
✅ RSI breaking back above 60
✅ MFI strong → money flow returning
✅ Price reclaiming key short-term averages
This is the type of setup that can move FAST once resistance snaps.
Key breakout level: $2.00
Support: $1.60
If volume expands through resistance… this could quickly squeeze toward the $3–5 zone.
Pressure is building HARD here.
After months of selling and dead price action… this chart is now compressing into a tight apex with momentum turning up.
The Technicals:
✅ Tight triangle breakout attempt
✅ Higher lows forming → bulls stepping in
✅ TTM Squeeze loading volatility
✅ RSI breaking back above 60
✅ MFI strong → money flow returning
✅ Price reclaiming key short-term averages
This is the type of setup that can move FAST once resistance snaps.
Key breakout level: $2.00
Support: $1.60
If volume expands through resistance… this could quickly squeeze toward the $3–5 zone.
There is an insatiable demand for AI compute.
And there are only a few companies that can supply it.
Hyperscalers & CSP
$GOOGL Alphabet
$AMZN Amazon
$MSFT Microsoft
$META Meta Platforms
$BABA Alibaba Group
$ORCL Oracle
Neocloud
$NBIS Nebius Group
$CRWV CoreWeave
$WYFI WhiteFiber
High-Performance Compute
$IREN IREN
$HUT Hut 8
$DGXX Digi Power X
$WULF TeraWulf
$APLD Applied Digital
$CORZ Core Scientific
$SLNH Soluna Holdings
$GLXY Galaxy Digital
$RIOT Riot Platforms
$CIFR Cipher Mining
$MARA MARA Holdings
$CLSK CleanSpark
$BTDR Bitdeer Technologies Group
$HIVE Hive Digital Technologies
And there are only a few companies that can supply it.
Hyperscalers & CSP
$GOOGL Alphabet
$AMZN Amazon
$MSFT Microsoft
$META Meta Platforms
$BABA Alibaba Group
$ORCL Oracle
Neocloud
$NBIS Nebius Group
$CRWV CoreWeave
$WYFI WhiteFiber
High-Performance Compute
$IREN IREN
$HUT Hut 8
$DGXX Digi Power X
$WULF TeraWulf
$APLD Applied Digital
$CORZ Core Scientific
$SLNH Soluna Holdings
$GLXY Galaxy Digital
$RIOT Riot Platforms
$CIFR Cipher Mining
$MARA MARA Holdings
$CLSK CleanSpark
$BTDR Bitdeer Technologies Group
$HIVE Hive Digital Technologies
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The most powerful synthetic data engine for Polymarket crypto UP/DOWN markets right now (Monte-Carlo Simulations + CRPS Scoring + Self-Improving Miners)
Public accounts using #SynthdataCo have already shown +926% ROI and +110% returns with thousands of trades
Most traders on Polymarket still try to guess direction using charts or sentiment.
Synth works completely differently:
Hundreds of competing AI models (miners) in Bittensor SN50 simultaneously generate thousands of Monte-Carlo price paths for BTC, ETH, SOL and other assets
Validators score them using CRPS (Continuous Ranked Probability Score) and reward only the best models. Weak ones get slashed
The result is a constantly improving layer of synthetic probability distributions that significantly outperforms traditional models and historical data
How it gives you an edge on Polymarket:
Synth API returns price path forecasts (1h and 24h) → you simply calculate what percentage of simulations end above or below the strike
You get a model probability (e.g. 64% Up)
Compare it to the implied probability on Polymarket and catch mispricings
Real results:
The public trading account #SynthdataCo trades exclusively using Synth forecasts:
• One account started with 3k$ → +$27k profit, ROI 926%
• Another test with 2k$ → +110% return across ~12,000 trades
Public trading account: polymarket.com/@synthdatadotco
How to start:
• API available at synthdata.co (Pro version includes 15-min / 1h / 24h horizons)
• There’s also Synth LLM for Traders and ready integrations with agents
If you trade crypto UP/DOWN or range markets on Polymarket, this is currently one of the cleanest and most proven edges available
Website: synthdata.co
Public accounts using #SynthdataCo have already shown +926% ROI and +110% returns with thousands of trades
Most traders on Polymarket still try to guess direction using charts or sentiment.
Synth works completely differently:
Hundreds of competing AI models (miners) in Bittensor SN50 simultaneously generate thousands of Monte-Carlo price paths for BTC, ETH, SOL and other assets
Validators score them using CRPS (Continuous Ranked Probability Score) and reward only the best models. Weak ones get slashed
The result is a constantly improving layer of synthetic probability distributions that significantly outperforms traditional models and historical data
How it gives you an edge on Polymarket:
Synth API returns price path forecasts (1h and 24h) → you simply calculate what percentage of simulations end above or below the strike
You get a model probability (e.g. 64% Up)
Compare it to the implied probability on Polymarket and catch mispricings
Real results:
The public trading account #SynthdataCo trades exclusively using Synth forecasts:
• One account started with 3k$ → +$27k profit, ROI 926%
• Another test with 2k$ → +110% return across ~12,000 trades
Public trading account: polymarket.com/@synthdatadotco
How to start:
• API available at synthdata.co (Pro version includes 15-min / 1h / 24h horizons)
• There’s also Synth LLM for Traders and ready integrations with agents
If you trade crypto UP/DOWN or range markets on Polymarket, this is currently one of the cleanest and most proven edges available
Website: synthdata.co
✍1
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Claude Code can now connect to financial datasets in seconds.
You can research companies, analyze financial data, access 17,000+ stocks, and pull market insights directly through prompts.
Here’s how to set it up in under 60 seconds:
1. Add the MCP server
Open Claude Code and paste:
claude mcp add --transport http financial-datasets mcp.financialdatasets.ai
2. Authenticate the connection
Inside Claude Code, type:
/mcp
Then complete the OAuth flow in your browser.
To confirm everything is connected, run:
claude mcp list
3. Start asking financial questions
Example prompts:
“What is Apple’s current P/E ratio and market cap?”
“Show me Tesla’s income statement for the last 4 quarters.”
“How has Bitcoin’s price changed over the past year?”
4. Need help?
If you face any setup errors, ask Claude to scan the official docs and troubleshoot the issue:
docs.financialdatasets.ai/mcp-server#claude-code
A simple setup, but a powerful upgrade for financial research.
You can research companies, analyze financial data, access 17,000+ stocks, and pull market insights directly through prompts.
Here’s how to set it up in under 60 seconds:
1. Add the MCP server
Open Claude Code and paste:
claude mcp add --transport http financial-datasets mcp.financialdatasets.ai
2. Authenticate the connection
Inside Claude Code, type:
/mcp
Then complete the OAuth flow in your browser.
To confirm everything is connected, run:
claude mcp list
3. Start asking financial questions
Example prompts:
“What is Apple’s current P/E ratio and market cap?”
“Show me Tesla’s income statement for the last 4 quarters.”
“How has Bitcoin’s price changed over the past year?”
4. Need help?
If you face any setup errors, ask Claude to scan the official docs and troubleshoot the issue:
docs.financialdatasets.ai/mcp-server#claude-code
A simple setup, but a powerful upgrade for financial research.
✍1
The US just secured control of one of the largest heavy rare earth deposits on earth outside China.
It's in Greenland.
American mining company Critical Metals Corp has received formal approval from the Greenland government to acquire 70% of the Tanbreez deposit in southern Greenland.
Estimated resource: 4.7 billion tonnes of rare earth bearing material.
27% of those rare earths are heavy rare earth elements (dysprosium, terbium, yttrium ) the ones used in EV motors, wind turbines, and advanced military systems.
For context:
Mountain Pass, California (the main US deposit): 0.49% heavy rare earths
Bayan Obo, China's largest deposit: 1.13%
🚨Tanbreez: 27%
It also has exceptionally low uranium and thorium content 10–20 ppm uranium, under 100 ppm thorium.
That matters because radioactive contamination has killed other Greenland projects.
Tanbreez already holds a mining licence valid until 2050 one of only 2 sites out of 140+ active licences on the island to have received it.
The supply chain logic is straightforward:
Extract in Greenland → process in the US → supply defence and advanced technology sectors
Production is expected to begin 2027–2028, starting at 85,000 tonnes of rare earth oxides per year, scalable to 425,000 tonnes.
Project value estimated at $3 billion.
China controls 85% of global rare earth processing capacity.
The US currently imports 80% of its rare earths from China.
It's in Greenland.
American mining company Critical Metals Corp has received formal approval from the Greenland government to acquire 70% of the Tanbreez deposit in southern Greenland.
Estimated resource: 4.7 billion tonnes of rare earth bearing material.
27% of those rare earths are heavy rare earth elements (dysprosium, terbium, yttrium ) the ones used in EV motors, wind turbines, and advanced military systems.
For context:
Mountain Pass, California (the main US deposit): 0.49% heavy rare earths
Bayan Obo, China's largest deposit: 1.13%
🚨Tanbreez: 27%
It also has exceptionally low uranium and thorium content 10–20 ppm uranium, under 100 ppm thorium.
That matters because radioactive contamination has killed other Greenland projects.
Tanbreez already holds a mining licence valid until 2050 one of only 2 sites out of 140+ active licences on the island to have received it.
The supply chain logic is straightforward:
Extract in Greenland → process in the US → supply defence and advanced technology sectors
Production is expected to begin 2027–2028, starting at 85,000 tonnes of rare earth oxides per year, scalable to 425,000 tonnes.
Project value estimated at $3 billion.
China controls 85% of global rare earth processing capacity.
The US currently imports 80% of its rare earths from China.
Forwarded from 🛢WTI, Brent Crude Oil, NGAS Trading 📊
🚨By 2035, US data centers alone will consume 6.5 billion cubic feet of gas per day.
That's roughly 10% of total US dry gas demand today added on top, just for AI.
This is a structural buildout.
Every bar on this chart is a midstream contract.
That's roughly 10% of total US dry gas demand today added on top, just for AI.
This is a structural buildout.
Every bar on this chart is a midstream contract.
🇨🇭 Global One SI - Prompt
$RKLB/USD H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt #AI 📈 Trading Analysis Report 🔍 Summary Insights: • Trend: Range-Bound • Volatility: Medium • Volume: Medium • Market Sentiment: Neutral • Confidence Score: 0.75 🎯 Game Plan: Chart…
Citizens JMP maintains Market Outperform on Rocket Lab $RKLB and raises price target to $95.
Following a record $200M revenue quarter and a $2.2B backlog, the company is cementing its role as the global No.2 in space, with Neutron on track for 2026.
Following a record $200M revenue quarter and a $2.2B backlog, the company is cementing its role as the global No.2 in space, with Neutron on track for 2026.
🇨🇭 Global One SI - Prompt
$HUT/USD H2 #Indicator #Signal #Trading #GlobalOneAI
Rosenblatt maintains Buy on HUT 8 $HUT and raises price target to $124.
Following a $16.8B lease backlog and a new hyperscale HPC deal, HUT is pivoting to a $1B EBITDA run rate by 2028. The company is now a top tier player in global AI infrastructure.
Following a $16.8B lease backlog and a new hyperscale HPC deal, HUT is pivoting to a $1B EBITDA run rate by 2028. The company is now a top tier player in global AI infrastructure.
🇨🇭 Global One SI - Prompt
$IREN/USD H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt #AI
H.C. Wainwright maintains Buy on IREN $IREN and raises price target to $85.
Following a $3.4B NVIDIA $NVDA cloud contract, IREN now has 65% of its 2026 revenue guidance under contract, cementing its lead as a high margin AI infrastructure powerhouse.
Following a $3.4B NVIDIA $NVDA cloud contract, IREN now has 65% of its 2026 revenue guidance under contract, cementing its lead as a high margin AI infrastructure powerhouse.
🔥 US macroeconomic data:
▪️ Unemployment rate (April)
FACT: 4.3%
FORECAST: 4.3%
PREDICTION.: 4.3%
▪️ Change in the number of employed in the non-agricultural sector (April)
FACT: 115K
FORECAST: 65K
PREDICTION.: 185K
▪️ Average hourly wage (compared to the same period last year) (YoY) (April)
FACT: 3.6%
FORECAST: 3.8%
PREDICTION.: 3.4%
▪️ Average hourly wage (MoM) (April)
FACT: 0.2%
FORECAST: 0.3%
PREDICTION.: 0.2%
▪️ Unemployment rate (April)
FACT: 4.3%
FORECAST: 4.3%
PREDICTION.: 4.3%
▪️ Change in the number of employed in the non-agricultural sector (April)
FACT: 115K
FORECAST: 65K
PREDICTION.: 185K
▪️ Average hourly wage (compared to the same period last year) (YoY) (April)
FACT: 3.6%
FORECAST: 3.8%
PREDICTION.: 3.4%
▪️ Average hourly wage (MoM) (April)
FACT: 0.2%
FORECAST: 0.3%
PREDICTION.: 0.2%
🇨🇭 Global One SI - Prompt
$WULF/USD H2 #Indicator #Signal #Trading #GlobalOneAI
TeraWulf $WULF Q1 revenue reaches $34M, with 60% now coming from high margin HPC leases.
The company now holds a massive $3.1B cash position and a new $250M credit line to fund its 2.8GW pipeline across New York, Kentucky, and Maryland.
The company now holds a massive $3.1B cash position and a new $250M credit line to fund its 2.8GW pipeline across New York, Kentucky, and Maryland.
🇨🇭 Global One SI - Prompt
$DPRO/USD H2 #Indicator #Signal #Trading #GlobalOneAI
Draganfly $DPRO selected by two U.S. Department of War units for its Flex FPV drone systems.
These platforms will support training and tactical readiness, cementing Draganfly as a key player in the U.S. military's shift toward agile, unmanned tech.
These platforms will support training and tactical readiness, cementing Draganfly as a key player in the U.S. military's shift toward agile, unmanned tech.