🇨🇭 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.
🇨🇭 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.
🇨🇭 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 backtesting…
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 22-23°C on May 15?" or "28°C or higher" / "15°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:
• /events?slug= - find the event by city and date
• /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 22-23°C on May 15?" or "28°C or higher" / "15°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:
• /events?slug= - find the event by city and date
• /markets/{id} - get the price of each bucket
No auth required on either of them
✍1
🔥 Macrodata (CPI):
▪️ Consumer Price Index (CPI) (YoY) (Apr)
FACT: 3.8%
FORECAST: 3.7%
PREV.: 3.3%
▪️ Consumer Price Index (CPI) (MoM) (Apr)
FACT: 0.6%
FORECAST: 0.6%
PREV.: 0.9%
▪️ Core Consumer Price Index (CPI) (MoM) (Apr)
FACT: 0.4%
FORECAST: 0.3%
PREV.: 0.2%
▪️ Core Consumer Price Index (CPI) (YoY) (Apr)
FACT: 2.8%
FORECAST: 2.7%
PREV.: 2.6%
▪️ Consumer Price Index (CPI) (YoY) (Apr)
FACT: 3.8%
FORECAST: 3.7%
PREV.: 3.3%
▪️ Consumer Price Index (CPI) (MoM) (Apr)
FACT: 0.6%
FORECAST: 0.6%
PREV.: 0.9%
▪️ Core Consumer Price Index (CPI) (MoM) (Apr)
FACT: 0.4%
FORECAST: 0.3%
PREV.: 0.2%
▪️ Core Consumer Price Index (CPI) (YoY) (Apr)
FACT: 2.8%
FORECAST: 2.7%
PREV.: 2.6%
$TMCI — Compression setup getting interesting 👀
Price is slowly building higher lows while pressing directly into resistance.
The Technicals:
✅ Ascending triangle forming
✅ Buyers defending the $1.80–$1.90 area
✅ RSI recovering and trending higher
✅ OBV stabilizing after accumulation spike
✅ Tightening range = volatility expansion setup
The key level here is $2.20–$2.25.
Break that clean and this could quickly expand toward:
🎯 $3.00
🎯 $3.80+
Small-cap medical names can move aggressively once momentum enters.
This looks like another “quiet before the move” chart.
Price is slowly building higher lows while pressing directly into resistance.
The Technicals:
✅ Ascending triangle forming
✅ Buyers defending the $1.80–$1.90 area
✅ RSI recovering and trending higher
✅ OBV stabilizing after accumulation spike
✅ Tightening range = volatility expansion setup
The key level here is $2.20–$2.25.
Break that clean and this could quickly expand toward:
🎯 $3.00
🎯 $3.80+
Small-cap medical names can move aggressively once momentum enters.
This looks like another “quiet before the move” chart.
$EFOI — Tight flag forming after the explosive move 👀
This one already proved it can move FAST… now price is consolidating while holding higher lows.
The Technicals:
✅ Bull flag structure developing
✅ Support trendline holding clean
✅ RSI staying elevated after momentum spike
✅ OBV flat = no major distribution yet
✅ Compression directly under resistance
Key breakout area:
$4.40–$4.50
If bulls reclaim that zone with volume, this could quickly expand toward:
🎯 $6.00+
Microcap + momentum + tight consolidation = dangerous combination.
Watching closely for expansion. 📈
This one already proved it can move FAST… now price is consolidating while holding higher lows.
The Technicals:
✅ Bull flag structure developing
✅ Support trendline holding clean
✅ RSI staying elevated after momentum spike
✅ OBV flat = no major distribution yet
✅ Compression directly under resistance
Key breakout area:
$4.40–$4.50
If bulls reclaim that zone with volume, this could quickly expand toward:
🎯 $6.00+
Microcap + momentum + tight consolidation = dangerous combination.
Watching closely for expansion. 📈
🇨🇭 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.
🚨 CPI rose +3.8% in April.
But inflation in basic necessities is much higher:
⛽ Energy commodities: +29.2%
🚗 Gasoline: +28.4%
✈️ Airfare: +20.7%
⚡ Energy: +17.9%
💡 Electricity: +6.1%
🥦 Fruits & vegetables: +6.1%
This is why consumers still feel inflation pressure.
Headline CPI says 3.8%.
Real-life essentials tell a very different story.
But inflation in basic necessities is much higher:
⛽ Energy commodities: +29.2%
🚗 Gasoline: +28.4%
✈️ Airfare: +20.7%
⚡ Energy: +17.9%
💡 Electricity: +6.1%
🥦 Fruits & vegetables: +6.1%
This is why consumers still feel inflation pressure.
Headline CPI says 3.8%.
Real-life essentials tell a very different story.
CLARITY FOR 100 YEARS
Why would President Trump - author of The Art of the Deal - bring this exact constellation of executives to meet with Xi Jinping at one of the most compressed geopolitical moments in modern history?
Not just politicians.
Not just diplomats.
But the CEOs representing:
• global banking
• global payments
• semiconductors
• AI infrastructure
• aerospace
• food supply
• tokenization
• communications networks
• custody
• biotech
• manufacturing
• capital markets
Because perhaps the real negotiation is larger than trade.
Perhaps the old architecture itself is under negotiation.
The post-1944 world was built on:
centralized debt,
military enforcement,
petrodollar dependency,
SWIFT control,
and industrial-age financial rails.
But a digital civilization requires something different:
• real-time settlement
• neutral interoperability
• decentralized verification
• tokenized value transfer
• sovereign cooperation without surrendering sovereignty
• transparent ledgers instead of opaque intermediaries
• economic incentives aligned toward stability instead of perpetual conflict
What if the real “deal” is not about China defeating America or America defeating China…
…but preventing mutually assured financial destruction during the largest technological transition in human history?
Because AI + quantum + tokenization + autonomous finance cannot scale on 1970s settlement rails.
And if value itself becomes instant, global, programmable, and interoperable…
then whoever helps architect the transition may shape the next 100 years.
Maybe this is why payments giants, asset managers, chip manufacturers, aerospace leaders, and tokenization infrastructure firms all suddenly matter in the same room.
Not because they represent separate industries.
But because they collectively represent the operating system of the emerging world economy.
A sovereignty-first system.
A multipolar system.
A digitally interconnected system.
Potentially even a peace-through-prosperity system.
Not a world without nations.
A world where nations can transact without financial hostage-taking.
Not centralization.
Interoperability.
Not conquest.
Coordination.
Not endless friction.
Atomic settlement.
And perhaps that is why the room matters more than the headlines.
Godspeed, Mr. President.
Why would President Trump - author of The Art of the Deal - bring this exact constellation of executives to meet with Xi Jinping at one of the most compressed geopolitical moments in modern history?
Not just politicians.
Not just diplomats.
But the CEOs representing:
• global banking
• global payments
• semiconductors
• AI infrastructure
• aerospace
• food supply
• tokenization
• communications networks
• custody
• biotech
• manufacturing
• capital markets
Because perhaps the real negotiation is larger than trade.
Perhaps the old architecture itself is under negotiation.
The post-1944 world was built on:
centralized debt,
military enforcement,
petrodollar dependency,
SWIFT control,
and industrial-age financial rails.
But a digital civilization requires something different:
• real-time settlement
• neutral interoperability
• decentralized verification
• tokenized value transfer
• sovereign cooperation without surrendering sovereignty
• transparent ledgers instead of opaque intermediaries
• economic incentives aligned toward stability instead of perpetual conflict
What if the real “deal” is not about China defeating America or America defeating China…
…but preventing mutually assured financial destruction during the largest technological transition in human history?
Because AI + quantum + tokenization + autonomous finance cannot scale on 1970s settlement rails.
And if value itself becomes instant, global, programmable, and interoperable…
then whoever helps architect the transition may shape the next 100 years.
Maybe this is why payments giants, asset managers, chip manufacturers, aerospace leaders, and tokenization infrastructure firms all suddenly matter in the same room.
Not because they represent separate industries.
But because they collectively represent the operating system of the emerging world economy.
A sovereignty-first system.
A multipolar system.
A digitally interconnected system.
Potentially even a peace-through-prosperity system.
Not a world without nations.
A world where nations can transact without financial hostage-taking.
Not centralization.
Interoperability.
Not conquest.
Coordination.
Not endless friction.
Atomic settlement.
And perhaps that is why the room matters more than the headlines.
Godspeed, Mr. President.
🗿1