The "nuclear renaissance" debate is about reactors.
The actual price tag is in the fuel chain.
Per McKinsey/IAEA, US nuclear fuel investment needs jump from $15B (2025) to $105β170B by 2050 a 10x increase across mining, conversion, enrichment, fabrication, and reprocessing.
The reactor isn't the bottleneckβ¦. The fuel is.
The actual price tag is in the fuel chain.
Per McKinsey/IAEA, US nuclear fuel investment needs jump from $15B (2025) to $105β170B by 2050 a 10x increase across mining, conversion, enrichment, fabrication, and reprocessing.
The reactor isn't the bottleneckβ¦. The fuel is.
π¨π Global One SI - Prompt
$IREN/USD H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt #AI
$IREN Prices Upsized $2.6B Offering Of Convertible Senior Notes Due 2033
Key details of the transaction
$2.6 billion convertible senior notes offering (1.00% coupon, 32.5% conversion premium)
Capped call transactions entered into in connection with the notes, which are expected generally to provide a hedge upon conversions up to an initial cap price of $110.30 per share, which represents a 100% premium (as compared to the 32.5% conversion premium under the notes)
The issuance and sale of the notes are scheduled to settle on May 14, 2026, subject to customary closing conditions. IREN also granted the initial purchasers of the notes an option to purchase, for settlement within a period of 13 days from, and including, the date the notes are first issued, up to an additional $400 million principal amount of notes
Key details of the transaction
$2.6 billion convertible senior notes offering (1.00% coupon, 32.5% conversion premium)
Capped call transactions entered into in connection with the notes, which are expected generally to provide a hedge upon conversions up to an initial cap price of $110.30 per share, which represents a 100% premium (as compared to the 32.5% conversion premium under the notes)
The issuance and sale of the notes are scheduled to settle on May 14, 2026, subject to customary closing conditions. IREN also granted the initial purchasers of the notes an option to purchase, for settlement within a period of 13 days from, and including, the date the notes are first issued, up to an additional $400 million principal amount of notes
π¨π Global One SI - Prompt
$ASTS/USD H2 #Indicator #Signal #Trading #GlobalOneAI
AST SpaceMobile $ASTS targets 45 satellites in orbit for 2026, with BlueBirds 8, 9 and 10 launching via SpaceX in mid June.
Backed by $3.5B in cash and a 60 MNO partner ecosystem, the company remains on track for $150M to $200M in full year revenue.
Backed by $3.5B in cash and a 60 MNO partner ecosystem, the company remains on track for $150M to $200M in full year revenue.
π¨π Global One SI - Prompt
$PLUG/USD H2 #Indicator #Signal #Trading #GlobalOneAI
Plug Power $PLUG reports Q1 revenue increased 22% to $163.5M.
Gross margin improved significantly by 42 percentage points to 13% as cost optimization took hold. Adjusted EPS narrowed to $0.08 while the firm scaled electrolyzer business.
Gross margin improved significantly by 42 percentage points to 13% as cost optimization took hold. Adjusted EPS narrowed to $0.08 while the firm scaled electrolyzer business.
π¨π Global One SI - Prompt
5 GitHub Repositories That Will Help You Launch and Optimize Your Polymarket Trading Bot These repositories will turn your basic bot into a complete, professional trading system They cover everything from real-time monitoring and alerts all the way to backtestingβ¦
How a Weather Trading Bot Automatically Finds Every Relevant Market on Polymarket in Seconds
From slug generation to parsing outcome prices - full technical breakdown
Using only two Gamma API endpoints
> Step 1 - Build the event slug
Polymarket names events using a standard pattern
For each city and date the bot builds a slug like this:
highest-temperature-in-{city}-on-{month}-{day}-{year}
Example: highest-temperature-in-seoul-on-may-15-2026
This lets you find the exact market without iterating through hundreds of events
> Step 2 - Query the Gamma API by slug
GET gamma-api.polymarket.com/events?slug={slug}
The response is an array of events. Take the first element
Inside - all markets for that event: every temperature bin with its own market_id, question text, and price
> Step 3 - Parse the temperature range from the question text
Each bin is described in plain text like:
"Will the high temperature in Seoul be between 22-23Β°C on May 15?" or "28Β°C or higher" / "15Β°C or below"
The bot parses this text with a regex and extracts the lower and upper boundary of the bucket
Edge buckets get sentinel values: -999 for the lower boundary of "or below" and 999 for the upper boundary of "or higher"
> Step 4 - Get the price of each bucket
GET gamma-api.polymarket.com/markets/{market_id}
The outcome Prices field returns a JSON string with two prices - YES and NO
prices = json.loads(data.get("outcomePrices", "[0.5,0.5]"))yes_price = float(prices[0])
This is the current market-implied probability of the outcome
Just two Gamma API endpoints cover the full market discovery cycle:
β’ /events?slug= - find the event by city and date
β’ /markets/{id} - get the price of each bucket
No auth required on either of them
From slug generation to parsing outcome prices - full technical breakdown
Using only two Gamma API endpoints
> Step 1 - Build the event slug
Polymarket names events using a standard pattern
For each city and date the bot builds a slug like this:
highest-temperature-in-{city}-on-{month}-{day}-{year}
Example: highest-temperature-in-seoul-on-may-15-2026
This lets you find the exact market without iterating through hundreds of events
> Step 2 - Query the Gamma API by slug
GET gamma-api.polymarket.com/events?slug={slug}
The response is an array of events. Take the first element
Inside - all markets for that event: every temperature bin with its own market_id, question text, and price
> Step 3 - Parse the temperature range from the question text
Each bin is described in plain text like:
"Will the high temperature in Seoul be between 22-23Β°C on May 15?" or "28Β°C or higher" / "15Β°C or below"
The bot parses this text with a regex and extracts the lower and upper boundary of the bucket
Edge buckets get sentinel values: -999 for the lower boundary of "or below" and 999 for the upper boundary of "or higher"
> Step 4 - Get the price of each bucket
GET gamma-api.polymarket.com/markets/{market_id}
The outcome Prices field returns a JSON string with two prices - YES and NO
prices = json.loads(data.get("outcomePrices", "[0.5,0.5]"))yes_price = float(prices[0])
This is the current market-implied probability of the outcome
Just two Gamma API endpoints cover the full market discovery cycle:
β’ /events?slug= - find the event by city and date
β’ /markets/{id} - get the price of each bucket
No auth required on either of them
β1
π₯ Macrodata (CPI):
βͺοΈ Consumer Price Index (CPI) (YoY) (Apr)
FACT: 3.8%
FORECAST: 3.7%
PREV.: 3.3%
βͺοΈ Consumer Price Index (CPI) (MoM) (Apr)
FACT: 0.6%
FORECAST: 0.6%
PREV.: 0.9%
βͺοΈ Core Consumer Price Index (CPI) (MoM) (Apr)
FACT: 0.4%
FORECAST: 0.3%
PREV.: 0.2%
βͺοΈ Core Consumer Price Index (CPI) (YoY) (Apr)
FACT: 2.8%
FORECAST: 2.7%
PREV.: 2.6%
βͺοΈ Consumer Price Index (CPI) (YoY) (Apr)
FACT: 3.8%
FORECAST: 3.7%
PREV.: 3.3%
βͺοΈ Consumer Price Index (CPI) (MoM) (Apr)
FACT: 0.6%
FORECAST: 0.6%
PREV.: 0.9%
βͺοΈ Core Consumer Price Index (CPI) (MoM) (Apr)
FACT: 0.4%
FORECAST: 0.3%
PREV.: 0.2%
βͺοΈ Core Consumer Price Index (CPI) (YoY) (Apr)
FACT: 2.8%
FORECAST: 2.7%
PREV.: 2.6%
$TMCI β Compression setup getting interesting π
Price is slowly building higher lows while pressing directly into resistance.
The Technicals:
β Ascending triangle forming
β Buyers defending the $1.80β$1.90 area
β RSI recovering and trending higher
β OBV stabilizing after accumulation spike
β Tightening range = volatility expansion setup
The key level here is $2.20β$2.25.
Break that clean and this could quickly expand toward:
π― $3.00
π― $3.80+
Small-cap medical names can move aggressively once momentum enters.
This looks like another βquiet before the moveβ chart.
Price is slowly building higher lows while pressing directly into resistance.
The Technicals:
β Ascending triangle forming
β Buyers defending the $1.80β$1.90 area
β RSI recovering and trending higher
β OBV stabilizing after accumulation spike
β Tightening range = volatility expansion setup
The key level here is $2.20β$2.25.
Break that clean and this could quickly expand toward:
π― $3.00
π― $3.80+
Small-cap medical names can move aggressively once momentum enters.
This looks like another βquiet before the moveβ chart.
$EFOI β Tight flag forming after the explosive move π
This one already proved it can move FAST⦠now price is consolidating while holding higher lows.
The Technicals:
β Bull flag structure developing
β Support trendline holding clean
β RSI staying elevated after momentum spike
β OBV flat = no major distribution yet
β Compression directly under resistance
Key breakout area:
$4.40β$4.50
If bulls reclaim that zone with volume, this could quickly expand toward:
π― $6.00+
Microcap + momentum + tight consolidation = dangerous combination.
Watching closely for expansion. π
This one already proved it can move FAST⦠now price is consolidating while holding higher lows.
The Technicals:
β Bull flag structure developing
β Support trendline holding clean
β RSI staying elevated after momentum spike
β OBV flat = no major distribution yet
β Compression directly under resistance
Key breakout area:
$4.40β$4.50
If bulls reclaim that zone with volume, this could quickly expand toward:
π― $6.00+
Microcap + momentum + tight consolidation = dangerous combination.
Watching closely for expansion. π
π¨π Global One SI - Prompt
$OKLO/USD H2 #Indicator #Signal #Trading #GlobalOneAI
OKLO $OKLO partners with Idaho National Lab to use Prometheus AI platform for Pluto reactor system.
Part of the DOE Genesis Mission, the deal uses AI agents to automate design and documentation, accelerating the path to deployment.
Part of the DOE Genesis Mission, the deal uses AI agents to automate design and documentation, accelerating the path to deployment.