🇨🇭 Global One SI - Prompt
TradingView MCP Bridge github.com/iliaal/tradingview-mcp
Claude Code x TradingView is the best AI trading quant of all time.
Gone are the days of AI slop market analysis - AI is now better at technical analysis than you.
Here's how you can turn Claude Code into your expert trading quant (in <5 minutes):
Step 1. Ensure you have these requirements:
• Claude Code - installed on your computer (this is what talks to TradingView)
• Node.js 18+ - installed on your computer (the MCP server runs on this)
• TradingView Desktop app - downloaded from tradingview.com/desktop
• A valid TradingView subscription (paid plan for real-time data)
Step 2. Open Claude Code and run the following prompt to connect the TradingView MCP:
"Install the TradingView MCP server. Clone and explore
github.com/iliaal/tradingview-mcp, run npm install, add to my MCP config at ~/.claude/.mcp.json, and launch TradingView with the debug port."
Step 3. Health check
Restart Claude Code, and paste this prompt:
"Use tv_health_check to confirm TradingView is connected."
If correctly connected, Claude Code should respond with a confirmation.
Step 4. Start prompting
Claude Code now has access to your ENTIRE TradingView environment
Your charts, your technical analysis, alerts - everything.
Use this prompt to turn Claude Code into your personal market analyst:
"Act as an elite quantitative trader and technical analyst with full access to my TradingView environment.
Analyze the current market structure for [ASSET] on the following timeframes: 5m, 15m, 1H, 4H, 1D.
Use my existing indicators, drawings, and chart context to:
Identify the current trend and market regime (trending, ranging, accumulation, distribution)
Mark key support and resistance levels based on price action and liquidity
Identify liquidity pools, stop clusters, and likely areas of manipulation
Analyze momentum using RSI, MACD, and volume where available
Detect any chart patterns (breakouts, consolidations, deviations, etc.)
Evaluate confluence across timeframes
Then provide:
A clear directional bias (bullish, bearish, neutral)
The highest probability trade setup right now
Exact entry, stop loss, and take profit levels
Risk-to-reward ratio
Invalidation point (what would prove this analysis wrong)
Finally:
Explain your reasoning step-by-step in plain English.
Avoid generic statements. Be decisive.
If no high-quality setup exists, explicitly say “no trade” and explain why."
This is an EXTREMELY powerful setup - make sure to save this post so you don't forget it.
Gone are the days of AI slop market analysis - AI is now better at technical analysis than you.
Here's how you can turn Claude Code into your expert trading quant (in <5 minutes):
Step 1. Ensure you have these requirements:
• Claude Code - installed on your computer (this is what talks to TradingView)
• Node.js 18+ - installed on your computer (the MCP server runs on this)
• TradingView Desktop app - downloaded from tradingview.com/desktop
• A valid TradingView subscription (paid plan for real-time data)
Step 2. Open Claude Code and run the following prompt to connect the TradingView MCP:
"Install the TradingView MCP server. Clone and explore
github.com/iliaal/tradingview-mcp, run npm install, add to my MCP config at ~/.claude/.mcp.json, and launch TradingView with the debug port."
Step 3. Health check
Restart Claude Code, and paste this prompt:
"Use tv_health_check to confirm TradingView is connected."
If correctly connected, Claude Code should respond with a confirmation.
Step 4. Start prompting
Claude Code now has access to your ENTIRE TradingView environment
Your charts, your technical analysis, alerts - everything.
Use this prompt to turn Claude Code into your personal market analyst:
"Act as an elite quantitative trader and technical analyst with full access to my TradingView environment.
Analyze the current market structure for [ASSET] on the following timeframes: 5m, 15m, 1H, 4H, 1D.
Use my existing indicators, drawings, and chart context to:
Identify the current trend and market regime (trending, ranging, accumulation, distribution)
Mark key support and resistance levels based on price action and liquidity
Identify liquidity pools, stop clusters, and likely areas of manipulation
Analyze momentum using RSI, MACD, and volume where available
Detect any chart patterns (breakouts, consolidations, deviations, etc.)
Evaluate confluence across timeframes
Then provide:
A clear directional bias (bullish, bearish, neutral)
The highest probability trade setup right now
Exact entry, stop loss, and take profit levels
Risk-to-reward ratio
Invalidation point (what would prove this analysis wrong)
Finally:
Explain your reasoning step-by-step in plain English.
Avoid generic statements. Be decisive.
If no high-quality setup exists, explicitly say “no trade” and explain why."
This is an EXTREMELY powerful setup - make sure to save this post so you don't forget it.
TradingView
Get all the power and flexibility of the cloud plus the benefits of the desktop experience with TradingView Desktop.
✍1
54 Leading Names Trading Above 100M+ Avg Dollar Volume, and All Major Moving Averages.
$ARM – Semiconductors
$MU – Semiconductors
$TSEM – Semiconductors
$ALAB – Semiconductors
$CRDO – Semiconductors
$INTC – Semiconductors
$QCOM – Semiconductors
$NVTS – Semiconductors
$MXL – Semiconductors
$AEHR – Semiconductor Equipment
$AXTI – Semiconductor Equipment
$WDC – Computer Hardware
$STX – Computer Hardware
$SNDK – Computer Hardware
$IONQ – Computer Hardware
$NOK – Communication Equipment
$LITE – Communication Equipment
$VIAV – Communication Equipment
$AAOI – Communication Equipment
$CRWV – Software Infrastructure
$BB – Software Infrastructure
$FIVN – Software Infrastructure
$DOCN – Software Infrastructure
$NBIS – Software Infrastructure
$FSLY – Software Application
$KEEL – IT Services
$APLD – IT Services / Data Centers
$CIFR – IT Services / Bitcoin Mining
$OUST – Electronic Components
$TTMI – Electronic Components
$AMPX – Electrical Equipment & Parts
$FPS – Electrical Equipment & Parts
$BE – Electrical Equipment & Parts
$PLUG – Electrical Equipment & Parts
$SEDG – Solar
$PBF – Oil & Gas Refining & Marketing
$SEI – Oil & Gas Equipment & Services
$PL – Aerospace & Defense
$AUR – Auto Parts / Autonomous Tech
$GLXY – Capital Markets (Crypto)
$WULF – Capital Markets (Bitcoin Mining)
$RIOT – Capital Markets (Bitcoin Mining)
$CLSK – Capital Markets (Bitcoin Mining)
$CRCL – Capital Markets (Crypto)
$IREN – Capital Markets (Bitcoin Mining)
$MP – Metals & Mining
$CRML – Metals & Mining
$USAR – Metals & Mining
$UAMY – Metals & Mining
$LWLG – Specialty Chemicals / Photonics
$ARM – Semiconductors
$MU – Semiconductors
$TSEM – Semiconductors
$ALAB – Semiconductors
$CRDO – Semiconductors
$INTC – Semiconductors
$QCOM – Semiconductors
$NVTS – Semiconductors
$MXL – Semiconductors
$AEHR – Semiconductor Equipment
$AXTI – Semiconductor Equipment
$WDC – Computer Hardware
$STX – Computer Hardware
$SNDK – Computer Hardware
$IONQ – Computer Hardware
$NOK – Communication Equipment
$LITE – Communication Equipment
$VIAV – Communication Equipment
$AAOI – Communication Equipment
$CRWV – Software Infrastructure
$BB – Software Infrastructure
$FIVN – Software Infrastructure
$DOCN – Software Infrastructure
$NBIS – Software Infrastructure
$FSLY – Software Application
$KEEL – IT Services
$APLD – IT Services / Data Centers
$CIFR – IT Services / Bitcoin Mining
$OUST – Electronic Components
$TTMI – Electronic Components
$AMPX – Electrical Equipment & Parts
$FPS – Electrical Equipment & Parts
$BE – Electrical Equipment & Parts
$PLUG – Electrical Equipment & Parts
$SEDG – Solar
$PBF – Oil & Gas Refining & Marketing
$SEI – Oil & Gas Equipment & Services
$PL – Aerospace & Defense
$AUR – Auto Parts / Autonomous Tech
$GLXY – Capital Markets (Crypto)
$WULF – Capital Markets (Bitcoin Mining)
$RIOT – Capital Markets (Bitcoin Mining)
$CLSK – Capital Markets (Bitcoin Mining)
$CRCL – Capital Markets (Crypto)
$IREN – Capital Markets (Bitcoin Mining)
$MP – Metals & Mining
$CRML – Metals & Mining
$USAR – Metals & Mining
$UAMY – Metals & Mining
$LWLG – Specialty Chemicals / Photonics
$NVDA Nvidia just figured out how to put an AI data center on the side of your house. And pay you to host it.
Each XFRA node packs 16 Blackwell RTX Pro 6000 GPUs, 4 AMD EPYC CPUs, and 3TB of RAM in a Dell PowerEdge rack mounted next to the AC condenser. The homeowner pays nothing for the hardware. They get discounted electricity and internet in exchange for letting Span tap unused capacity on their electrical panel.
This sounds insane until you look at the actual constraint blocking AI infrastructure.
Hyperscalers are not GPU-limited. Nvidia ships them on schedule. They are not capital-limited. They are sitting on hundreds of billions in capex. What they cannot get is grid interconnection. A 100MW data center requires a substation upgrade that takes 4 to 7 years in most US markets. US grid operators have over 2,600 gigawatts stuck in their interconnection queues per Lawrence Berkeley Lab. The wait, not the silicon, is the bottleneck.
Span solved this by going behind the meter.
A new Pulte home has 200A service. That's 48kW of capacity. The home uses 1 to 3kW most hours. The headroom never gets touched. Span's smart panel measures real-time consumption and dynamically routes whatever the home isn't using to the XFRA node. No substation upgrade. No queue. Just slack capacity sitting on the residential side of the meter, already cleared.
Span claims it can deploy 8,000 nodes for one fifth the cost of a comparable 100MW centralized facility, six times faster.
PulteGroup is the wedge. They delivered 29,000 homes in 2025. The XFRA unit goes in during construction next to the smart meter. No retrofit. Pulte gets a feature on the spec sheet and revenue share on the compute that flows through the wall.
The grid was the bottleneck. Pulte just became the workaround.
Each XFRA node packs 16 Blackwell RTX Pro 6000 GPUs, 4 AMD EPYC CPUs, and 3TB of RAM in a Dell PowerEdge rack mounted next to the AC condenser. The homeowner pays nothing for the hardware. They get discounted electricity and internet in exchange for letting Span tap unused capacity on their electrical panel.
This sounds insane until you look at the actual constraint blocking AI infrastructure.
Hyperscalers are not GPU-limited. Nvidia ships them on schedule. They are not capital-limited. They are sitting on hundreds of billions in capex. What they cannot get is grid interconnection. A 100MW data center requires a substation upgrade that takes 4 to 7 years in most US markets. US grid operators have over 2,600 gigawatts stuck in their interconnection queues per Lawrence Berkeley Lab. The wait, not the silicon, is the bottleneck.
Span solved this by going behind the meter.
A new Pulte home has 200A service. That's 48kW of capacity. The home uses 1 to 3kW most hours. The headroom never gets touched. Span's smart panel measures real-time consumption and dynamically routes whatever the home isn't using to the XFRA node. No substation upgrade. No queue. Just slack capacity sitting on the residential side of the meter, already cleared.
Span claims it can deploy 8,000 nodes for one fifth the cost of a comparable 100MW centralized facility, six times faster.
PulteGroup is the wedge. They delivered 29,000 homes in 2025. The XFRA unit goes in during construction next to the smart meter. No retrofit. Pulte gets a feature on the spec sheet and revenue share on the compute that flows through the wall.
The grid was the bottleneck. Pulte just became the workaround.
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🇨🇭 Global One SI - Prompt
CCXT connects your code to 111 crypto exchanges with a single unified API market data, trading, backtesting, arbitrage, bot programming, all in JavaScript, Python, C#, PHP, and Go. 2.4 million downloads a year and most retail traders have never heard of it.…
Investing Algorithm Framework:
A Python framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
github.com/coding-kitties/investing-algorithm-framework
A Python framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
github.com/coding-kitties/investing-algorithm-framework
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🇨🇭 Global One SI - Prompt
Investing Algorithm Framework: A Python framework for developing, backtesting, and deploying automated trading algorithms and trading bots. github.com/coding-kitties/investing-algorithm-framework
Your Private AI Quant Operating System
One deployable stack for charting, AI market research, Python indicators & strategies, backtests, and live execution—on your own servers and your own keys.
github.com/brokermr810/QuantDinger
One deployable stack for charting, AI market research, Python indicators & strategies, backtests, and live execution—on your own servers and your own keys.
github.com/brokermr810/QuantDinger
✍1
🇨🇭 Global One SI - Prompt
$LITE/USD H2 #Indicator #Signal #Trading #GlobalOneAI
Lumentum $LITE delivered a massive Q3 beat with $808.4M revenue, up 90% YoY.
Powered by 1.6T transceiver demand and a new InP fab acquisition, margins reach 47.9% as Lumentum dominates the optical infrastructure race for AI hyperscalers.
Powered by 1.6T transceiver demand and a new InP fab acquisition, margins reach 47.9% as Lumentum dominates the optical infrastructure race for AI hyperscalers.
🇨🇭 Global One SI - Prompt
Google's portfolio is insane! Their investments in SpaceX and Anthropic alone could be valued at ~$1T. Even if their competitors "win" the AI race, Google will still benefit massively. Genius play.
Everyone doubted Google in AI… now it's the most valuable company on the planet.
Forwarded from 🛢WTI, Brent Crude Oil, NGAS Trading 📊
🚨Reports suggest the US and Iran are working toward a deal to end the war and restart nuclear talks.
Here's what's been reported 🧵
Axios describes a draft 3-page MoU under negotiation:
Iran: suspend enrichment for 10–15 years, keep facilities above ground, accept IAEA inspections
US: release up to $20 bn in frozen assets tied to Iran shipping out its uranium stockpile, phase sanctions relief as benchmarks are met
On the war: formalise the ceasefire, establish Hormuz safe-passage protocols, open a 30-day window to turn the MoU into a full agreement
⏳US officials say they're "closing in" on the MoU and expect Iranian responses within days but stress nothing is final
Iran has sent counter-proposals through Pakistan demanding a permanent end to hostilities and broader sanctions relief
Here's what's been reported 🧵
Axios describes a draft 3-page MoU under negotiation:
Iran: suspend enrichment for 10–15 years, keep facilities above ground, accept IAEA inspections
US: release up to $20 bn in frozen assets tied to Iran shipping out its uranium stockpile, phase sanctions relief as benchmarks are met
On the war: formalise the ceasefire, establish Hormuz safe-passage protocols, open a 30-day window to turn the MoU into a full agreement
⏳US officials say they're "closing in" on the MoU and expect Iranian responses within days but stress nothing is final
Iran has sent counter-proposals through Pakistan demanding a permanent end to hostilities and broader sanctions relief
👀1
AI has turned semiconductors into one of the most profitable sectors in the market:
• $NVDA owns main AI compute layer
• $AVGO monetizes custom silicon, networking & connectivity
• $AMD remains CPU bottleneck play as inference workloads scale
• $MU benefits from memory bottleneck across HBM & data center storage
• $NVDA owns main AI compute layer
• $AVGO monetizes custom silicon, networking & connectivity
• $AMD remains CPU bottleneck play as inference workloads scale
• $MU benefits from memory bottleneck across HBM & data center storage
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🚨NEW: Blackrock CEO Larry Fink says surging demand for computing power could soon create an entirely new asset class centered around buying and selling compute futures.