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

🔥 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%

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$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.

$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. 📈

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.

$IREN $NBIS $WULF $HUT $APLD | CME Group and Silicon Data are launching the first Compute Futures market later this year.

Using daily GPU rental indices, these contracts allow AI builders to hedge price volatility, officially turning compute into a global commodity.

Top 100 24h Gainers 🚀

H                $0.2454    +20.18%
VVV            $16.75      +14.39%
XDC            $0.0323    +5.89% 
CRO            $0.0777    +4.89% 
NIGHT        $0.0348    +4.78% 

Top 100 24h Losers 🔻

CHZ            $0.0433    -5.76% 
ALGO          $0.1228    -5.69% 
VIRTUAL    $0.8706    -5.50% 
JUP            $0.2384    -5.34% 
ZEC            $558.72    -5.31%

🚨 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.

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.

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1. Near Memory:
Sk hynix, Samsung $MU

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Sk hynix, Samsung, CMXT $MU

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$STX $WDC $DELL $NTAP $P $HPE $IBM

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25 Strongest Industry Groups At 1-Month RS 100%

$DXYZ — Pre-IPO & Private Unicorn Equity
$AIQ — AI Software & Data Processing
$EWY — South Korea Equities
$QTUM — Quantum / AI
$DRIV — EV & Autonomous Vehicles
$BUZZ — Social Media
$SOXX — Broad Semiconductor
$ROBO — Robotics & Automation
$SMH — Semiconductor Giants
$SPMO — S&P 500 Momentum
$BAI — AI & Tech Active
$XSD — Semiconductors (Equal Weight)
$FDRV — EV & Future Transportation
$PBW — Clean Energy
$TAN — Solar
$ARKW — ARK Internet & Next-Gen Tech
$GRID — Infrastructure & Electrical Equipment
$FFTY — IBD 50
$HYDR — Hydrogen Energy & Fuel Cells
$MEME — Meme Stocks
$ARKQ — ARK Robotics
$SOLZ — Solana Spot
$SLV — Silver
$DRAM — Memory
$NASA — Space Economy

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Ahead of a $1.75 Trillion June IPO, the firm is debuting Starship V3 on May 19, featuring Raptor 3 engines and a redesigned "launch and catch" pad.