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The proof library behind the work.

This repository preserves the earlier RAV80 Media selected work and trading case studies so the videos, visuals, and written breakdowns remain accessible as the main Case Studies page evolves into a curated hub.

Use this as the archive layer: deeper examples, older builds, and supporting proof across trading, newsletters, community systems, and brand storytelling.

Gemini Trading2DadsFinanceQueens ApparelFCXBBAIHIMS
RAV80 Trades Archive

Trading Case Studies

Longer-form trading examples from the original selected work page, preserved with their original video or image assets.

Weekly StructureCustom ScannersElliott Wave Framework

FCX — Long-Term Shares Trade Case Study

Overview

This capstone highlights how long-term shares trades can be identified and managed using structure-driven frameworks rather than short-term prediction. Sourced through custom high-timeframe scanners and evaluated using weekly squeeze conditions and Elliott Wave structure.

Scope of Analysis
  • Surfaced FCX through custom scanners designed for long-term compression and positioning
  • Evaluated weekly squeeze conditions signaling stored directional energy
  • Applied Elliott Wave analysis to map the broader market structure
  • Used Fibonacci levels to identify probable completion zones
  • Confirmed alignment with sector strength including sustained momentum in copper
Execution & Management
  • Entered the position early in the cycle with longer-term directional bias
  • Maintained conviction through consolidation based on intact weekly structure
  • Managed the position without over-trading, allowing the larger cycle to unfold
Outcome
  • Current unrealized gain: ~+61% over ~8 months
  • Projected completion near $71.75 aligning with key Fibonacci extensions
  • Expected total yield upon completion: ~+92%

This capstone demonstrates how long-term positioning and disciplined management can produce asymmetric outcomes — without prediction or constant intervention.

Market StructureOptions PositioningExecution Discipline

BBAI — Multi-Timeframe Options Trade Case Study — Calls

Overview

Multiple data inputs — market structure, options positioning, and price behavior — were combined to identify and manage a high-probability options trade in BBAI, with emphasis on positioning before expansion rather than chasing price.

Scope of Analysis
  • Identified 4-hour squeeze compression signaling stored directional energy
  • Confirmed 30-minute accumulation holding above key structure
  • Tracked open interest expansion indicating early institutional positioning
  • Used VWAP and 21 EMA as execution and trend validation tools
Execution & Management
  • Structured entry around VWAP confirmation to align execution with positioning
  • Reduced exposure into strength to manage risk asymmetrically
  • Maintained remaining exposure through continuation as momentum expanded
Outcome
  • Total weighted gain: +243%
  • Trade followed the original structural thesis from entry through exit
  • Reinforced the effectiveness of combining positioning data with price structure

This trade demonstrates how multi-timeframe structure and options positioning can capture asymmetric opportunities — without alerts or predictions.

BBAI — Multi-Timeframe Options Trade Case Study — Calls visual
Trend AlignmentFlow ConfirmationRisk-Controlled Execution

HIMS — Short-Term Options Trade Case Study — Puts

Overview

A short-term options trade identified through higher-timeframe trend alignment and options flow confirmation. The focus was on waiting for a pullback entry and managing risk as price continued lower.

Scope of Analysis
  • Identified a clear bearish trend on the 1-hour timeframe
  • Confirmed downside bias through rising put activity relative to calls
  • Used a weekly scanner to surface the opportunity without chasing momentum
  • Waited for a pullback and rejection to define a low-risk entry zone
Execution & Management
  • Entered HIMS $38 puts following a pullback and continuation lower at $0.48 per contract
  • Scaled out of the position as price moved in favor to reduce risk
  • Allowed remaining contracts to run while structure remained intact
Outcome
  • Partial exits taken at $1.40 (+192%)
  • Final exits taken at $1.90 (+296%)
  • Total weighted gain: +210% over approximately 48 hours

Structured entries + disciplined exits created asymmetric returns without prediction.

HIMS — Short-Term Options Trade Case Study — Puts visual
RAV80 Media Archive

Consulting, Community & Content Systems

Selected work across AI-enabled community architecture, newsletter systems, and multimedia storytelling.

AI SystemsCommunity DesignOperations

Gemini Trading — AI-Enabled Trading Community Build

Overview

Gemini Trading was built as a private trading community serving a primarily Chinese-speaking audience. I was brought in to design and operationalize the platform from the ground up using AI-assisted workflows and structured systems.

Scope of Work

Platform & Systems

  • Designed the community structure and operating model
  • Built AI-assisted research, content, and signal-filtering frameworks
  • Established repeatable delivery and moderation processes

Growth & Operations

  • Set up payment infrastructure and member access controls
  • Developed onboarding, marketing materials, and promotional content
  • Supported social media strategy and audience acquisition
Outcome

A fully operational trading community supported by scalable systems designed to reduce noise, improve clarity, and support disciplined decision-making.

This project reflects my ability to translate complex trading workflows into structured, repeatable systems using AI and operational design.

Gemini Trading — AI-Enabled Trading Community Build visual
Financial EducationContent SystemsTechnical Analysis

2DadsFinance — Financial Education Newsletter

Overview

2DadsFinance was created as a free, subscription-based newsletter focused on making financial markets more understandable through technical analysis and structured chart work.

Scope of Work
  • Developed the newsletter concept and content framework
  • Produced educational market commentary and ticker analysis
  • Explained potential price direction using chart structure and technical context
  • Built a repeatable publishing cadence for consistent engagement
  • Established an organic subscriber growth loop through disciplined publishing — without paid promotion
Outcome

An educational platform focused on clarity and context — helping readers understand why markets move, not just react to what moved.

This project demonstrates my ability to teach financial concepts in an accessible, structured way without relying on hype or predictions.

2DadsFinance — Financial Education Newsletter visual
Multimedia ProductionBrand StorytellingOrganic Engagement

Queens Apparel — Community-Driven Multimedia Promotion

Overview

Queens Apparel was a locally owned e-commerce clothing brand. I created and published a short-form promotional video designed to introduce the brand, highlight its local identity, and support early-stage awareness through authentic storytelling.

Scope of Work
  • Concepted and produced a short-form promotional video centered on brand identity and local roots
  • Designed the video's pacing, tone, and visual rhythm for social-first consumption
  • Leveraged an established audience to amplify reach without paid promotion
  • Published and distributed content to support early brand awareness
Outcome
  • Increased visibility and engagement for a local e-commerce brand
  • Demonstrated the effectiveness of concise, authentic multimedia storytelling
  • Supported early brand recognition through audience-led distribution

This project reflects my ability to translate brand identity into engaging multimedia content and deploy it strategically.

Use the hub for the highlights. Use the repository for depth.

The Case Studies page can stay curated and current while this repository protects the full body of work as the content library grows.