Mission

Democratizing quantitative investing

We believe everyone should have access to the same data-driven portfolio strategies that institutional investors use.

01

Transparency

Our methodology is published as open research. Every backtest uses strict T+1 rules with no lookahead bias. We show our work.

02

Accessibility

No coding or quant degree required. Subscribe and receive daily, actionable portfolio intelligence delivered to your inbox.

03

Rigor

758 trading days of point-in-time backtested data, multiple independent strategy methods, and ML-enhanced prediction.

04

Innovation

From natural language trading via MCP to quantum computing exploration, we push the boundaries of what’s possible in retail investing.

Team

Meet the founder

GD

George Dikos

Founder & Quantitative Researcher

George built Goldflower Capital from the ground up — from the PostgreSQL database and Python automation pipeline to the AWS infrastructure and machine learning models. With a background spanning quantitative research and software engineering, he combines deep technical expertise with a passion for making sophisticated investing strategies accessible.

The platform’s proprietary EventSim engine has been under development since 2021, processing thousands of strategy combinations daily to identify the highest-conviction portfolio holdings. The system runs on production AWS infrastructure with automated daily email delivery to subscribers.

For Investors

The opportunity

A differentiated approach to quantitative investing with proven performance and a clear path to scale.

The Problem

Retail investors lack access to institutional quant strategies

Quantitative portfolio construction — strategy selection, rank-based weighting, regime detection — has been the exclusive domain of hedge funds. Retail tools offer simple screening, not real portfolio intelligence.

Our Solution

Daily, actionable portfolio intelligence via email

Subscribers receive optimal portfolio holdings every morning: exact tickers, weights, and performance metrics. No software to install, no coding required. Just subscribe and invest smarter.

Traction

+112% cumulative return (vs S&P +66%)

758 trading days of auditable, point-in-time backtested performance. 1.03 Sharpe ratio. 9.21% annualized alpha. Max drawdown nearly half the S&P 500.

Differentiation

MAD: a novel, proprietary alpha signal

Multiple Appearance Days measures consensus across dozens of independent strategies. This ensemble approach is inherently more robust than any single indicator, and we’re publishing the research to establish academic credibility.

Revenue Model

Subscription + premium tiers

Free tier: daily baseline portfolio emails. Premium: Sharpe-optimized weights, asset scanner, ML hyperperformer alerts, and natural language trading via MCP integration.

What We Need

Seed funding to accelerate growth

Funding will go toward: expanding the subscriber base, completing the asset scanner and MCP trading server, hiring a second quant researcher, and pursuing regulatory compliance for managed accounts.

Roadmap

What’s next

A phased approach from daily emails to a fully autonomous, AI-powered trading platform.

Phase 1 — Now

Daily Automation & Website

Production baseline portfolio with automated daily emails and this website.

  • PostgreSQL database (5+ years)
  • Baseline portfolio Lambda email
  • Website on Elastic Beanstalk
  • Subscriber management
In Progress
Phase 2 — April

Subscription & Sharpe Optimization

Self-service subscribe/unsubscribe and optimized portfolio weights.

  • DynamoDB subscriber management
  • Strategy preference selection
  • Grid search: rank exponent, vol target
  • Target: Sharpe 1.5
Planned
Phase 3 — May–Jun

Asset Scanner & MAD Paper

Interactive asset scanner and published research paper.

  • Qullamaggie setup detection API
  • ML hyperperformer scoring
  • MAD paper on arXiv/SSRN
  • Target: Sharpe 2.0
Planned
Phase 4 — Jul–Sep

MCP Trading & Scale

Natural language trade execution and containerized infrastructure.

  • Best Execution MCP server
  • Interactive Brokers integration
  • Docker + CI/CD pipeline
  • Target: Sharpe 3.0, 1000+ subs
Vision
Technology

Built on proven infrastructure

A production-grade system running on enterprise cloud services.

PythonCore engine
PostgreSQLMarket database
AWS EC2Compute
AWS LambdaAutomation
AWS S3Data storage
AWS SESEmail delivery
DynamoDBSubscribers
EventBridgeScheduling
Elastic BeanstalkWeb hosting
scikit-learnML models
yfinanceMarket data
MCP / ClaudeAI integration
The Name

Why “Goldflower”?

The chrysanthemum — the gold flower — symbolizes patience, longevity, and steady growth. Like the flower that blooms through persistence, our strategies are built for long-term, compounding returns. Goldflower Capital grows capital the same way nature grows a chrysanthemum: methodically, beautifully, and with time on its side.