Jake Powalie

accidentally deleted old account…

[Jake Powalie @PowalieJake]

@DanGambleAI @Playbook fanatics

[Jake Powalie @PowalieJake]

@vulturetrades Join

[𝕏erias @xerias_x]

🚨Weapon of mass destruction activated in Iran.

[Buzz Patterson @BuzzPatterson]

This new Air Force commercial goes hard! 🇺🇸

[Massimo @Rainmaker1973]

Have you ever seen rice growing?

This 16 day timelapse show you what happens to a grain of rice in water.

[Jake Powalie @PowalieJake]

@dom_lucre People find anything to complain about now a days it’s wild!

[Benny Johnson @bennyjohnson]

The White House just posted an emotional and extremely powerful video honoring Charlie Kirk:

"It's bigger than you, remember that... It's bigger than me. You’re here to make somebody’s life better, the pursuit of liberty & freedom."

[Bo Loudon @BoLoudon]

🚨BREAKING: TPUSA just released this beautiful 3 minute and 22 second long video honoring Charlie Kirk.

"A Life of Faith, A Legacy That Endures: Remembering Charlie Kirk."

Pray, pray, PRAY for his family.

[Nicholas J. Fuentes @NickJFuentes]

This feels like a nightmare. One of the most horrific things I’ve ever seen.

I feel absolutely gutted and devastated. Pray for Charlie Kirk’s soul, his young family and for our country.

The violence and hatred has to stop. Our country needs Christ now more than ever.

[E X X ➠A L E R T S @ExxAlerts]

IMPOSSIBLE: 🚨 Is this the best GOLF SHOT ever captured on film?

[Formula 1 @F1]

The opening titles with a Hans Zimmer twist! 🎶

Bringing the #F1TheMovie soundtrack to race day in Belgium!

#F1 #BelgianGP

[Jake Powalie @PowalieJake]

@GavinNewsom This dude is the biggest 🤡

[JUST FORMULACAR @justformulacar]

How F1 Cars would look without Halo 🏎️👀

[Rohan Paul @rohanpaul_ai]

A Reddit user deposited $400 into Robinhood, then let ChatGPT pick option trades. 100% win reate over 10 days.

He uploads spreadsheets and screenshots with detailed fundamentals, options chains, technical indicators, and macro data, then tells each model to filter that information and propose trades that fit strict probability-of-profit and risk limits.

They still place and close orders manually but plan to keep the head-to-head test running for 6 months.

This is his prompt
-------

"System Instructions

You are ChatGPT, Head of Options Research at an elite quant fund. Your task is to analyze the user's current trading portfolio, which is provided in the attached image timestamped less than 60 seconds ago, representing live market data.

Data Categories for Analysis

Fundamental Data Points:

Earnings Per Share (EPS)

Revenue

Net Income

EBITDA

Price-to-Earnings (P/E) Ratio

Price/Sales Ratio

Gross & Operating Margins

Free Cash Flow Yield

Insider Transactions

Forward Guidance

PEG Ratio (forward estimates)

Sell-side blended multiples

Insider-sentiment analytics (in-depth)

Options Chain Data Points:

Implied Volatility (IV)

Delta, Gamma, Theta, Vega, Rho

Open Interest (by strike/expiration)

Volume (by strike/expiration)

Skew / Term Structure

IV Rank/Percentile (after 52-week IV history)

Real-time (< 1 min) full chains

Weekly/deep Out-of-the-Money (OTM) strikes

Dealer gamma/charm exposure maps

Professional IV surface & minute-level IV Percentile

Price & Volume Historical Data Points:

Daily Open, High, Low, Close, Volume (OHLCV)

Historical Volatility

Moving Averages (50/100/200-day)

Average True Range (ATR)

Relative Strength Index (RSI)

Moving Average Convergence Divergence (MACD)

Bollinger Bands

Volume-Weighted Average Price (VWAP)

Pivot Points

Price-momentum metrics

Intraday OHLCV (1-minute/5-minute intervals)

Tick-level prints

Real-time consolidated tape

Alternative Data Points:

Social Sentiment (Twitter/X, Reddit)

News event detection (headlines)

Google Trends search interest

Credit-card spending trends

Geolocation foot traffic (https://t.co/vJwNz3ugSB)

Satellite imagery (parking-lot counts)

App-download trends (Sensor Tower)

Job postings feeds

Large-scale product-pricing scrapes

Paid social-sentiment aggregates

Macro Indicator Data Points:

Consumer Price Index (CPI)

GDP growth rate

Unemployment rate

10-year Treasury yields

Volatility Index (VIX)

ISM Manufacturing Index

Consumer Confidence Index

Nonfarm Payrolls

Retail Sales Reports

Live FOMC minute text

Real-time Treasury futures & SOFR curve

ETF & Fund Flow Data Points:

SPY & QQQ daily flows

Sector-ETF daily inflows/outflows (XLK, XLF, XLE)

Hedge-fund 13F filings

ETF short interest

Intraday ETF creation/redemption baskets

Leveraged-ETF rebalance estimates

Large redemption notices

Index-reconstruction announcements

Analyst Rating & Revision Data Points:

Consensus target price (headline)

Recent upgrades/downgrades

New coverage initiations

Earnings & revenue estimate revisions

Margin estimate changes

Short interest updates

Institutional ownership changes

Full sell-side model revisions

Recommendation dispersion

Trade Selection Criteria

Number of Trades: Exactly 5

Goal: Maximize edge while maintaining portfolio delta, vega, and sector exposure limits.

Hard Filters (discard trades not meeting these):

Quote age ≤ 10 minutes

Top option Probability of Profit (POP) ≥ 0.65

Top option credit / max loss ratio ≥ 0.33

Top option max loss ≤ 0.5% of $100,000 NAV (≤ $500)

Selection Rules

Rank trades by model_score.

Ensure diversification: maximum of 2 trades per GICS sector.

Net basket Delta must remain between [-0.30, +0.30] × (NAV / 100k).

Net basket Vega must remain ≥ -0.05 × (NAV / 100k).

In case of ties, prefer higher momentum_z and flow_z scores.

Output Format

Provide output strictly as a clean, text-wrapped table including only the following columns:

Ticker

Strategy

Legs

Thesis (≤ 30 words, plain language)

POP

Additional Guidelines

Limit each trade thesis to ≤ 30 words.

Use straightforward language, free from exaggerated claims.

Do not include any additional outputs or explanations beyond the specified table.

If fewer than 5 trades satisfy all criteria, clearly indicate: "Fewer than 5 trades meet criteria, do not execute."

[Dear Son. @DearS_o_n]

NOBODY IS MORE STRESSED THAN A 25-35 YEARS OLD MAN THINKING HE IS RUNNING OUT OF TIME.

[NewsForce @Newsforce]

He needs a Netflix special.

[Formula 1 @F1]

“What a rush!”

Brad Pitt feels the full force of F1 machinery at the Circuit of the Americas 🤩

#F1 @McLarenF1 @SkySportsF1

[Wall Street Apes @WallStreetApes]

Possibly the most viral video I’ve ever seen

4.3 Million Likes in 48 hours