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https://twitter.com/hasantoxr/status/1724767521579139483

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Hasan Toor

@hasantoxr

Jan 31

After 6 months of testing, Gemini 3.0 is the most underrated AI for financial analysis.

It's completely free and outperforms GPT-5.2 on market research.

Here are 8 prompts for investment research that actually work:

1. Earnings Call Decoder

Prompt:

"Analyze the last 3 earnings calls for [company ticker].

Don't summarize what they said - tell me what they're NOT saying.

Focus on:

1) Questions the CEO dodged or gave vague answers to,
2) Metrics they stopped reporting compared to previous quarters,
3) Language changes - where they went from confident to cautious or vice versa,
4) New talking points that appeared suddenly,
5) Guidance changes and the exact wording they used to frame it. Then connect this to their stock performance in the 2 weeks following each call.

What pattern emerges?"

Gemini can process multiple transcripts simultaneously and catch subtle language shifts. I caught a revenue recognition issue 3 weeks before the stock tanked because the CFO changed how he talked about "bookings." Made 34% shorting it.

2. Sector Rotation Signals

Prompt:

"I'm tracking [sector]. Build me a real-time dashboard view:

1) Which stocks in this sector hit 52-week highs this week vs last week,
2) Institutional buying patterns - which funds increased positions based on 13F filings,
3) Insider trading activity with specific executives and dates,
4) Analyst upgrades/downgrades with the reasoning they gave,
5) Options flow - unusual call or put activity that suggests big bets.

Synthesize this: is smart money rotating into or out of this sector right now? Give me the 3 strongest signals."

ChatGPT hallucinates SEC filings. Gemini pulls actual data. I've caught 4 sector rotations early using this. Got into cybersecurity stocks 6 weeks before they ripped because institutional money was quietly accumulating while everyone watched tech.

Read 11 tweets

Hasan Toor

@hasantoxr

Jan 31

BREAKING: OpenAI and Anthropic engineers leaked these prompt techniques in internal docs.

I've been using insider knowledge from actual AI engineers for 6 months.

These 8 patterns increased my output quality by 200%.

Here's what they don't want you to know: 👇

1. Constitutional AI Prompting

Instead of telling the LLM what TO do, tell it what NOT to do.

Bad: "Write professionally"

Good: "Never use jargon. Never write sentences over 20 words. Never assume technical knowledge."

Anthropic's research shows negative constraints reduce hallucinations by 60%.

2. Chain-of-Thought Forcing

Don't ask for reasoning. FORCE it to show work first.

Add this line: "Before answering, write your step-by-step reasoning inside tags."

OpenAI engineers use this internally for complex tasks.

It catches errors before they reach the output.

Read 12 tweets

Hasan Toor

@hasantoxr

Jan 28

Claude Pro just became the best $20/month I spend.

I use it for workflow automation, trend analysis, and document processing.

Here are 12 Claude prompts that replaced my $400/month research subscriptions:

Prompt 1: "Analyze these 5 competitor websites [paste URLs]. Extract their value props, pricing psychology, objection handling, and CTA strategies. Show me what's working and what gaps I can exploit."

This single prompt replaced my marketing consultant. Projects context means it remembers everything. Used this to 3x our conversion rate.

Prompt 2: "Read this 80-page market research PDF. Give me: (1) counterintuitive insights others will miss, (2) 3 immediate opportunities, (3) risks everyone's ignoring. Format as a strategic brief."

Turns dense reports into actionable intelligence in 90 seconds. The Artifacts feature makes it presentation-ready instantly.

Read 14 tweets

Hasan Toor

@hasantoxr

Jan 25

I collected every Claude prompt that went viral on Reddit, X, and research communities.

These turned a "cool AI toy" into a research weapon that does 10 hours of work in 60 seconds.

13 copy-paste prompts. Zero fluff.

1. The “Contradictions Finder”

Perfect for papers, reports, or long docs.

“List all internal contradictions, unresolved tensions, or claims that don’t fully follow from the evidence.”

It catches things humans gloss over.

2. The “Reviewer #2” prompt

Yes, that reviewer.

“Critique this like a skeptical peer reviewer.
Be harsh. Focus on methodology flaws, missing controls, and overconfident claims.”

Brutal. Necessary.

Read 15 tweets

Hasan Toor

@hasantoxr

Jan 24

I DON’T UNDERSTAND WHY PEOPLE DON’T USE GROK FOR STOCKS.

Most traders are looking at charts from 6 months ago.
Grok analyzes real-time sentiment on X to predict future.

Here are 20 prompts to find the next 10x stock:

2/ Real-Time Sentiment Pulse

Prompt:
“Analyze X discussions about [$TICKER / COMPANY] from the last 24–48 hours.
Classify sentiment (bullish / neutral / bearish) and explain why sentiment is shifting.”

3/ Sudden Attention Spike Detector

Prompt:
“Find stocks that saw a sudden spike in mentions on X in the last 12 hours, excluding major news outlets. Focus on organic chatter, not headlines.”

Read 22 tweets

Hasan Toor

@hasantoxr

Jan 20

🚨 Hedra just solved the problem that kills 90% of AI content before it even starts.

It's called Elements, and it turns "staring at a blank screen" into "combine these assets and ship.

No more prompt paralysis. No more inconsistent characters. Just actual creative workflow.

Here's how it works:

Every AI creator knows this nightmare:

→ Spend 2 hours crafting the perfect prompt
→ Generate 50 versions trying to get consistency
→ Character looks different in every frame
→ Give up and post nothing

Meanwhile others are shipping daily with cohesive visual stories.

Hedra said "what if you just BUILD instead of DESCRIBE?"

Elements gives you pre-configured building blocks:

- Characters (consistent faces/proportions)
- Outfits
- Environments
- Styles

You combine them like Lego. Upload your own. Done.
No prompt engineering PhD required.

Read 7 tweets

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