🇨🇭 Global One SI - Prompt
The most serious open-source bot for Polymarket's 15-minute BTC UP/DOWN markets (75% win rate in simulation) Breaking down aulekator/Polymarket-BTC-15-Minute-Trading-Bot - a true 7-phase system with self-learning Unlike most single-layer bots that trade…
5 GitHub Repos That Cover 90% of Building Your Own Polymarket Trading Bot
Each of them closes a major piece of the stack - from market discovery to execution, logging, and performance analysis
Instead of building everything from scratch, you can take these five repos and significantly speed up your bot development
1. Trade execution - Polymarket/py-clob-client
The official Python SDK from Polymarket itself.CLOB API connection, order placement, order book fetching, WebSocket subscriptions - all in one package
Installs with a single command: pip install py-clob-client
This is the foundation of any bot - there's no getting around it
GitHub: github.com/Polymarket/py-clob-client
2. Market discovery and all APIs in one -HuakunShen/polymarket-kit
A fully typed SDK that covers all three Polymarket APIs at once.
GammaSDK - find markets, filter by volume, category, closing date. No auth required.DataSDK - pull positions and trade history for any wallet
WebSocketClient - subscribe to live order book updates
Works in both TypeScript and Python, OpenAPI schema included
Instead of three separate clients - one package that covers everything except trade execution
GitHub: github.com/HuakunShen/polymarket-kit
3. Trading logic - Polymarket/agents
The official repo with trading agent examples from the Polymarket team.
Shows how to properly connect market discovery, data analysis, and trade execution into a single workflow.
Use it as an architectural template - plug in your own strategy where the default one sits.
The best starting point if you want to build from scratch rather than copy someone else's bot.
GitHub: github.com/Polymarket/agents
4. Position monitoring - warproxxx/poly_data
A data pipeline that collects the full trade and position history from Polymarket
Connect it to your bot to log every trade in a structured format
A ready-made data snapshot is available to download immediately - no need to wait for your own history to accumulate
Ideal for analyzing bot performance and finding patterns through AI
GitHub: github.com/warproxxx/poly_data
5. Analytics — leolopez007/polymarket-trade-tracker
A web tool for analyzing trades from any Polymarket wallet
Paste your bot's address - get a full breakdown: PnL, win rate, Maker/Taker roles, cumulative PnL over time
Export everything to JSON - feed it to AI and let it find the weak spots in your strategy
Use it after every week of trading to understand what's working and what isn't
GitHub: github.com/leolopez007/polymarket-trade-tracker
Here's how it all connects:
• polymarket-kit finds the market
• py-clob-client executes the trade
• agents holds it all together
• poly_data logs the history
• trade-tracker analyzes the result.
Five repos - the full cycle of a trading bot
Each of them closes a major piece of the stack - from market discovery to execution, logging, and performance analysis
Instead of building everything from scratch, you can take these five repos and significantly speed up your bot development
1. Trade execution - Polymarket/py-clob-client
The official Python SDK from Polymarket itself.CLOB API connection, order placement, order book fetching, WebSocket subscriptions - all in one package
Installs with a single command: pip install py-clob-client
This is the foundation of any bot - there's no getting around it
GitHub: github.com/Polymarket/py-clob-client
2. Market discovery and all APIs in one -HuakunShen/polymarket-kit
A fully typed SDK that covers all three Polymarket APIs at once.
GammaSDK - find markets, filter by volume, category, closing date. No auth required.DataSDK - pull positions and trade history for any wallet
WebSocketClient - subscribe to live order book updates
Works in both TypeScript and Python, OpenAPI schema included
Instead of three separate clients - one package that covers everything except trade execution
GitHub: github.com/HuakunShen/polymarket-kit
3. Trading logic - Polymarket/agents
The official repo with trading agent examples from the Polymarket team.
Shows how to properly connect market discovery, data analysis, and trade execution into a single workflow.
Use it as an architectural template - plug in your own strategy where the default one sits.
The best starting point if you want to build from scratch rather than copy someone else's bot.
GitHub: github.com/Polymarket/agents
4. Position monitoring - warproxxx/poly_data
A data pipeline that collects the full trade and position history from Polymarket
Connect it to your bot to log every trade in a structured format
A ready-made data snapshot is available to download immediately - no need to wait for your own history to accumulate
Ideal for analyzing bot performance and finding patterns through AI
GitHub: github.com/warproxxx/poly_data
5. Analytics — leolopez007/polymarket-trade-tracker
A web tool for analyzing trades from any Polymarket wallet
Paste your bot's address - get a full breakdown: PnL, win rate, Maker/Taker roles, cumulative PnL over time
Export everything to JSON - feed it to AI and let it find the weak spots in your strategy
Use it after every week of trading to understand what's working and what isn't
GitHub: github.com/leolopez007/polymarket-trade-tracker
Here's how it all connects:
• polymarket-kit finds the market
• py-clob-client executes the trade
• agents holds it all together
• poly_data logs the history
• trade-tracker analyzes the result.
Five repos - the full cycle of a trading bot
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The BEST 10 FREE Trading Indicators
0:00 - Order Blocks & Volume
0:27 - Breakout Signals
1:09 - Reversal Signals
1:49 - Trend System
2:42 - Hourly Trading System
3:45 - Price Action Structures
4:37 - BPR
5:17 - Range Analysis
6:45 - Fibonacci Retracements
7:30 - Volume Spike
0:00 - Order Blocks & Volume
0:27 - Breakout Signals
1:09 - Reversal Signals
1:49 - Trend System
2:42 - Hourly Trading System
3:45 - Price Action Structures
4:37 - BPR
5:17 - Range Analysis
6:45 - Fibonacci Retracements
7:30 - Volume Spike
Forwarded from 🛢WTI, Brent Crude Oil, NGAS Trading 📊
🚨World oil inventories are falling at a record pace.
There are 2 lines you need to understand 🛢️
The white line is total visible global oil inventories in billions of barrels.
It peaked just before the Iran war began in February 2026 then fell off a cliff.
Nothing in the post-Covid era comes close to the speed of this drawdown.
Two thresholds on the chart:
🟡 7.6 billion barrels , Operational stress level. Reached by June 2026.
🔴 6.8 billion barrels , Operational floor level. The minimum required to keep pipelines functioning and refineries operating. Reached by September 2026, assuming no resolution.
These are not price targets.
They are physical system limits.
Bloomberg's framing is precise:
"The world has burned through oil inventories at a record speed as the Iran war throttles flows from the Persian Gulf."
"Governments and industries are left with fewer options to cushion the impact of the loss of more than a billion barrels of supply."
The assumptions behind the projection:
If no conflict resolution by June.
Demand reduction of 5.6 million barrels per day already priced in.
Even with that demand destruction factored in, inventories still hit the operational floor by September.
What the operational floor actually means:
Below 6.8 billion barrels, the physical infrastructure of the global oil system begins to fail.
The Covid inventory build in 2020 took months to accumulate as demand collapsed.
This drawdown is happening in weeks as supply collapses.
The direction is the same but the cause is the opposite and the speed is faster.
If there is no resolution by summer, the world will be in territory it has never been in before.
There are 2 lines you need to understand 🛢️
The white line is total visible global oil inventories in billions of barrels.
It peaked just before the Iran war began in February 2026 then fell off a cliff.
Nothing in the post-Covid era comes close to the speed of this drawdown.
Two thresholds on the chart:
🟡 7.6 billion barrels , Operational stress level. Reached by June 2026.
🔴 6.8 billion barrels , Operational floor level. The minimum required to keep pipelines functioning and refineries operating. Reached by September 2026, assuming no resolution.
These are not price targets.
They are physical system limits.
Bloomberg's framing is precise:
"The world has burned through oil inventories at a record speed as the Iran war throttles flows from the Persian Gulf."
"Governments and industries are left with fewer options to cushion the impact of the loss of more than a billion barrels of supply."
The assumptions behind the projection:
If no conflict resolution by June.
Demand reduction of 5.6 million barrels per day already priced in.
Even with that demand destruction factored in, inventories still hit the operational floor by September.
What the operational floor actually means:
Below 6.8 billion barrels, the physical infrastructure of the global oil system begins to fail.
The Covid inventory build in 2020 took months to accumulate as demand collapsed.
This drawdown is happening in weeks as supply collapses.
The direction is the same but the cause is the opposite and the speed is faster.
If there is no resolution by summer, the world will be in territory it has never been in before.
The space theme looks ready for a very powerful wave 3 breakout IMO:
$ASTS: 5/9 bullish confirms
$BKSY: 5/9 bullish confirms
$FLY: 4/9 bullish confirms
$LUNR: 6/9 bullish confirms
$MNTS: 1/9 bullish confirms
$PL: 6/9 bullish confirms
$RDW: 8/9 bullish confirms
$RKLB: 7/9 bullish confirms
$SATL: 7/9 bullish confirms
$SIDU: 2/9 bullish confirms
$SPIR: 5/9 bullish confirms
$UFO: 7/9 bullish confirms
$VELO: 0/9 bullish confirms
$VOYG: 6/9 bullish confirms
An important week awaits! 🫡📈
$ASTS: 5/9 bullish confirms
$BKSY: 5/9 bullish confirms
$FLY: 4/9 bullish confirms
$LUNR: 6/9 bullish confirms
$MNTS: 1/9 bullish confirms
$PL: 6/9 bullish confirms
$RDW: 8/9 bullish confirms
$RKLB: 7/9 bullish confirms
$SATL: 7/9 bullish confirms
$SIDU: 2/9 bullish confirms
$SPIR: 5/9 bullish confirms
$UFO: 7/9 bullish confirms
$VELO: 0/9 bullish confirms
$VOYG: 6/9 bullish confirms
An important week awaits! 🫡📈
$RKLB $RDW $PL $VOYG $ASTS | Global smallsat deployment is accelerating, with 16,900 satellites projected through 2035.
Driven by sovereign constellations and serial production, the industry will launch 640KG of hardware daily as the market scales toward a $33B valuation.
Driven by sovereign constellations and serial production, the industry will launch 640KG of hardware daily as the market scales toward a $33B valuation.
ENERGY STORAGE IS BECOMING THE NEXT MAJOR INFRASTRUCTURE TRADE
AI data centers are creating an energy demand shock. Renewables are scaling. Grids are aging. That creates one unavoidable need:
🔋 STORAGE.
This isn’t a short-term theme. It’s a multi-year secular buildout.
Here’s how I’m viewing the sector:
$EOSE
Zinc-based long-duration storage (4–16hr+)
→ Non-lithium, non-flammable
→ Massive pipeline ($22B+)
→ High upside if execution improves
Risk: dilution + scaling credibility
$FLNC
Utility-scale battery storage leader
→ $5B+ backlog
→ Hyperscaler/data center penetration growing
→ Strong institutional backing
Risk: margins still need improvement
$QS
Solid-state battery moonshot
→ Pilot line now operational
→ Licensing model emerging
→ Strong cash runway
Risk: commercialization still years away
Other names worth watching:
$NRGV
Own-and-operate storage model
Recurring energy revenue could rerate the story
$AMPX
Silicon-anode batteries
High-density cells for aerospace/defense
$STEM
Software layer for energy storage
Less hardware risk, more recurring software model
$SES
AI + battery chemistry
One of the most interesting speculative intersections
My framework:
Grid-scale infrastructure:
$FLNC / $NRGV / $STEM
Long-duration storage:
$EOSE
Next-gen EV battery disruption:
$QS / $AMPX / $SES
The big picture:
AI growth needs power.
Power needs stability.
Stability needs storage.
Energy storage may become one of the biggest infrastructure trades of this decade.
Watch the capital flows early.
AI data centers are creating an energy demand shock. Renewables are scaling. Grids are aging. That creates one unavoidable need:
🔋 STORAGE.
This isn’t a short-term theme. It’s a multi-year secular buildout.
Here’s how I’m viewing the sector:
$EOSE
Zinc-based long-duration storage (4–16hr+)
→ Non-lithium, non-flammable
→ Massive pipeline ($22B+)
→ High upside if execution improves
Risk: dilution + scaling credibility
$FLNC
Utility-scale battery storage leader
→ $5B+ backlog
→ Hyperscaler/data center penetration growing
→ Strong institutional backing
Risk: margins still need improvement
$QS
Solid-state battery moonshot
→ Pilot line now operational
→ Licensing model emerging
→ Strong cash runway
Risk: commercialization still years away
Other names worth watching:
$NRGV
Own-and-operate storage model
Recurring energy revenue could rerate the story
$AMPX
Silicon-anode batteries
High-density cells for aerospace/defense
$STEM
Software layer for energy storage
Less hardware risk, more recurring software model
$SES
AI + battery chemistry
One of the most interesting speculative intersections
My framework:
Grid-scale infrastructure:
$FLNC / $NRGV / $STEM
Long-duration storage:
$EOSE
Next-gen EV battery disruption:
$QS / $AMPX / $SES
The big picture:
AI growth needs power.
Power needs stability.
Stability needs storage.
Energy storage may become one of the biggest infrastructure trades of this decade.
Watch the capital flows early.