And people always say Neutron is small?

It's almost as tall as Starship, guys!

Apparently, a lot of people aren't aware of Rocket Lab's stunning drone-captured launch footage.

Here's another beauty: "Eight Days A Week" for Synspective.

$IBM just FANTASTIC #Indicator #Signal #Trading #GlobalOneAI
Globalone.ch #Prompt #AI

$NSRX One of the most interesting micro-cap biotech setups developing right now.

After a brutal selloff from $9.50 to under $2.00, the stock has quietly started building a compression pattern that could soon resolve.

Technical observations:

- Higher lows forming
- Triangle breakout setup developing
- OBV turning higher
- RSI recovering
- TTM downside momentum fading
- Buyers defending the $2 area aggressively

The key level now sits near $3.40-$3.50.

A breakout there could open the door toward the $6-$7 area.

With a market cap of roughly $27M, the risk/reward profile is beginning to attract attention.

that's a chart worth watching closely.
Peers: $MIRA $AMRN $SCLX $TXMD $CPHI $RMTI $BGM $CPIX $CTOR $SCYX

$MP $UUUU $UAMY $USAR $LAC $CRML | Rare earths developer Viridis blocks Chinese buyers from a massive Brazilian mining project to sell exclusively to Western markets.

CEO Rafael Moreno confirms advanced supply talks are underway with U.S. and European customers.

Wolfspeed $WOLF launches a dedicated California business unit to capture booming AI data center demands.

Deploying high voltage silicon carbide hardware helps massive server farms cut down on heat and extreme energy waste.

CLAUDE + STOCKS = $$$$

Wall Street analysts charge $500/hour for this research.

Claude does it in 30 seconds.

10 prompts that make Claude your personal stock market analyst 👇

1/ The Stock Deep Dive

I am a BEGINNER / INTERMEDIATE / EXPERIENCED investor looking to analyze STOCK TICKER / COMPANY NAME in the INDUSTRY sector.

Investment horizon:
SHORT TERM / 1 YEAR / 5+ YEARS

Risk tolerance:
LOW / MEDIUM / HIGH

Give me:
— Business model explained simply
— Revenue streams + fastest-growing segments
— Key financial ratios (P/E, ROE, margins, debt)
— Competitive moat
— 3 bullish reasons to buy
— 3 bearish risks to avoid
— Fair value estimate using DCF logic
— What would prove the thesis wrong

End with a conviction score out of 10.

2/ The Portfolio Builder

I am AGE years old with $AMOUNT to invest.

Goal:
RETIREMENT / WEALTH / PASSIVE INCOME

Risk tolerance:
LOW / MEDIUM / HIGH

Build me a complete portfolio:
— Sector allocation
— 8–12 stocks/ETFs
— Capital split per position
— Rebalancing schedule
— Dip-buy opportunities
— Long-term compounders
— One ETF safety net if I’m wrong

Rank every holding from highest to lowest conviction.

3/ The Earnings Report Decoder

Break down the latest earnings report for COMPANY / TICKER.

I care most about:
GROWTH / PROFITS / DIVIDENDS

Explain:
— Revenue beat/miss
— EPS quality
— Margin trends
— Management guidance
— Hidden metric Wall Street watches
— Whether market reaction makes sense
— Historical post-earnings behavior

Then tell me:
Buy, hold, or take profits?

4/ The Sector Rotation Strategy

My portfolio is heavily invested in the SECTOR sector.

Current macro environment:
HIGH INFLATION / RATE CUTS / RECESSION FEARS / BULL MARKET

Portfolio size:
$AMOUNT

Analyze:
— Which sectors historically outperform now
— Which sectors I should reduce
— Best stocks to rotate into
— ETFs for safer exposure
— Signs macro conditions are changing
— Timeline for this rotation

Give me a step-by-step action plan.

5/ The Risk Checker

My portfolio holdings:

LIST HOLDINGS + %

Portfolio size:
$AMOUNT

Age:
AGE

Audit my portfolio for:
— Concentration risk
— Correlation risk
— Overvalued positions
— Macro risks
— Crash vulnerability
— Weakest holdings

Then give me:
3 portfolio changes I should make this week.

Be brutally honest.

6/ The Dividend Income Machine

I want to generate $MONTHLY INCOME per month from dividends.

Capital available:
$TOTAL CAPITAL

Timeline:
YEARS

Strategy:
DIVIDEND GROWTH / HIGH YIELD / BALANCED

Build me:
— A dividend portfolio
— Yield + growth rate for each pick
— Dividend safety analysis
— DRIP strategy
— Tax considerations
— Yield traps to avoid
— 12-month income projection

Show the math clearly.

7/ The Technical Analysis Translator

Analyze the chart for STOCK TICKER on the DAILY / WEEKLY / MONTHLY timeframe.

Trading style:
BUY & HOLD / SWING / OPTIONS

Explain:
— Support & resistance
— Moving average signals
— RSI conditions
— Volume confirmation
— Important chart patterns
— Best entry zone
— Stop-loss logic
— Fake breakout warning signs

Explain it simply without confusing jargon.

8/ The IPO Evaluator

A company called COMPANY NAME is about to IPO.

Industry:
INDUSTRY

IPO valuation:
$VALUATION

Analyze:
— Whether valuation is justified
— Business model sustainability
— Lock-up risks
— Historical IPO behavior in this sector
— Red flags in the prospectus
— Institutional demand signals
— Best entry timing

End with:
Speculative / Moderate / Strong opportunity rating.

9/ The Market Crash Playbook

I’m worried about a market correction in the next 3 / 6 / 12 months.

Reason:
RATE HIKES / RECESSION / OVERVALUATION / GEOPOLITICAL RISK

Portfolio size:
$AMOUNT

Build me:
— Crash warning indicators
— Which positions to trim first
— Defensive stocks/ETFs
— Ideal cash allocation
— Hedge ideas
— Dip-buying strategy
— Historical recovery timelines
— Biggest investor mistakes during crashes

I want a plan I can follow without panicking.

10/ The Full Investment Thesis Writer

I want to build a long-term position in COMPANY / TICKER.

Industry:
INDUSTRY

Holding period:
YEARS

Position size:
$AMOUNT

Sentiment:
BULLISH / CAUTIOUS

Write a complete investment thesis:
— Bull case summary
— Market opportunity
— Key growth catalysts
— Management quality analysis
— Financial health check
— Biggest risks to the thesis
— 1-year, 3-year, and 5-year targets
— Metrics I should track every quarter

Format it like a professional research note.

Stop trading in Excel like it’s 2009.

Start using Python + ChatGPT.

Here's 6 small steps:

1. Pick ONE strategy rule (keep it boring)

Start with something simple like moving averages or a 12-1 momentum.

Your goal is execution and learning, not “printing money.”

2. Pull clean price data

Use a real data source (even free to start). If your data is messy, your results are fiction.

Do it with this (free): yfinance github.com/ranaroussi/yfinance