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1405 lines (1209 loc) · 51.3 KB
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Wayy Funds | Investor Prospectus</title>
<!-- Fonts -->
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Instrument+Serif:ital@0;1&family=Space+Grotesk:wght@300;400;500;600;700&display=swap" rel="stylesheet">
<style>
:root {
--color-black: #000000;
--color-white: #ffffff;
--color-red: #E53935;
--color-gray-light: #f5f5f5;
--color-gray: #888888;
--color-gray-dark: #333333;
--font-serif: 'Instrument Serif', Georgia, serif;
--font-sans: 'Space Grotesk', -apple-system, BlinkMacSystemFont, sans-serif;
}
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
html {
font-size: 16px;
scroll-behavior: smooth;
}
body {
font-family: var(--font-sans);
background: var(--color-white);
color: var(--color-black);
line-height: 1.7;
font-weight: 400;
}
/* Print styles */
@media print {
body { font-size: 11pt; line-height: 1.5; }
.page-break { page-break-before: always; }
.no-print { display: none !important; }
section { page-break-inside: avoid; }
h2, h3 { page-break-after: avoid; }
}
.container {
max-width: 900px;
margin: 0 auto;
padding: 0 2rem;
}
/* Cover Page */
.cover {
min-height: 100vh;
display: flex;
flex-direction: column;
justify-content: center;
align-items: center;
text-align: center;
padding: 4rem 2rem;
background: var(--color-white);
position: relative;
}
.cover::before {
content: '';
position: absolute;
top: 0; left: 0; right: 0; bottom: 0;
background:
radial-gradient(circle at 20% 80%, rgba(229, 57, 53, 0.03) 0%, transparent 50%),
radial-gradient(circle at 80% 20%, rgba(0, 0, 0, 0.02) 0%, transparent 50%);
pointer-events: none;
}
.logo-container { margin-bottom: 3rem; }
.logo {
font-family: var(--font-sans);
font-weight: 700;
font-size: 4rem;
letter-spacing: -0.04em;
color: var(--color-black);
}
.logo span { display: inline-block; }
.logo .w { transform: translateY(0); }
.logo .a { transform: translateY(-8px); font-size: 0.75em; }
.logo .y1 { transform: translateY(4px); }
.logo .y2 { transform: translateY(4px); }
.logo .res {
font-size: 0.5em;
transform: rotate(-12deg) translateY(-16px);
display: inline-block;
margin-left: 4px;
}
.cover-title {
font-family: var(--font-serif);
font-size: 3.5rem;
font-weight: 400;
margin-bottom: 1rem;
line-height: 1.1;
}
.cover-subtitle {
font-size: 1.25rem;
color: var(--color-gray);
margin-bottom: 3rem;
font-weight: 300;
}
.cover-meta {
margin-top: 4rem;
padding-top: 2rem;
border-top: 1px solid var(--color-gray-light);
}
.cover-meta p {
color: var(--color-gray);
font-size: 0.875rem;
margin-bottom: 0.5rem;
}
.cover-date { font-weight: 600; color: var(--color-black); }
.confidential-badge {
display: inline-block;
background: var(--color-black);
color: var(--color-white);
padding: 0.5rem 1.5rem;
font-size: 0.75rem;
font-weight: 600;
letter-spacing: 0.15em;
text-transform: uppercase;
margin-top: 2rem;
}
/* Navigation */
.nav {
position: fixed;
top: 0; left: 0; right: 0;
background: rgba(255, 255, 255, 0.95);
backdrop-filter: blur(10px);
border-bottom: 1px solid var(--color-gray-light);
z-index: 1000;
padding: 1rem 2rem;
display: flex;
justify-content: space-between;
align-items: center;
}
.nav-logo {
font-family: var(--font-sans);
font-weight: 700;
font-size: 1.25rem;
color: var(--color-black);
text-decoration: none;
}
.nav-links {
display: flex;
gap: 2rem;
list-style: none;
}
.nav-links a {
color: var(--color-gray-dark);
text-decoration: none;
font-size: 0.875rem;
font-weight: 500;
transition: color 0.2s;
}
.nav-links a:hover { color: var(--color-red); }
/* Sections */
section {
padding: 5rem 0;
border-bottom: 1px solid var(--color-gray-light);
}
section:last-child { border-bottom: none; }
.section-number {
font-family: var(--font-serif);
font-size: 0.875rem;
color: var(--color-gray);
display: block;
margin-bottom: 0.5rem;
}
h1 {
font-family: var(--font-serif);
font-size: 3rem;
font-weight: 400;
margin-bottom: 2rem;
line-height: 1.2;
}
h2 {
font-family: var(--font-serif);
font-size: 2.25rem;
font-weight: 400;
margin-bottom: 1.5rem;
line-height: 1.2;
}
h3 {
font-family: var(--font-sans);
font-size: 1.25rem;
font-weight: 600;
margin-bottom: 1rem;
margin-top: 2rem;
color: var(--color-black);
}
h4 {
font-family: var(--font-sans);
font-size: 1rem;
font-weight: 600;
margin-bottom: 0.75rem;
margin-top: 1.5rem;
color: var(--color-gray-dark);
}
p { margin-bottom: 1.25rem; font-size: 1rem; }
.lead {
font-size: 1.25rem;
color: var(--color-gray-dark);
line-height: 1.8;
margin-bottom: 2rem;
}
.highlight { color: var(--color-red); font-weight: 500; }
/* Cards */
.card-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
gap: 1.5rem;
margin: 2rem 0;
}
.card {
background: var(--color-gray-light);
padding: 2rem;
border-radius: 0;
border-left: 3px solid var(--color-black);
}
.card-red { border-left-color: var(--color-red); }
.card h4 { margin-top: 0; font-size: 1.125rem; }
.card p { margin-bottom: 0; font-size: 0.9375rem; color: var(--color-gray-dark); }
/* Tables */
table {
width: 100%;
border-collapse: collapse;
margin: 2rem 0;
font-size: 0.9375rem;
}
th, td {
padding: 1rem;
text-align: left;
border-bottom: 1px solid var(--color-gray-light);
}
th {
font-weight: 600;
background: var(--color-gray-light);
font-size: 0.75rem;
text-transform: uppercase;
letter-spacing: 0.1em;
}
tr:hover { background: var(--color-gray-light); }
/* Lists */
ul, ol { margin: 1.5rem 0; padding-left: 1.5rem; }
li { margin-bottom: 0.75rem; }
/* Callout */
.callout {
background: var(--color-gray-light);
padding: 2rem;
margin: 2rem 0;
border-left: 4px solid var(--color-black);
}
.callout-warning {
border-left-color: var(--color-red);
background: #fff5f5;
}
.callout h4 { margin-top: 0; }
.callout p:last-child { margin-bottom: 0; }
/* Stats */
.stats-grid {
display: grid;
grid-template-columns: repeat(4, 1fr);
gap: 2rem;
margin: 3rem 0;
padding: 2rem 0;
border-top: 1px solid var(--color-gray-light);
border-bottom: 1px solid var(--color-gray-light);
}
@media (max-width: 768px) {
.stats-grid { grid-template-columns: repeat(2, 1fr); }
}
.stat { text-align: center; }
.stat-value {
font-family: var(--font-serif);
font-size: 2.5rem;
font-weight: 400;
color: var(--color-black);
line-height: 1;
margin-bottom: 0.5rem;
}
.stat-label {
font-size: 0.75rem;
text-transform: uppercase;
letter-spacing: 0.1em;
color: var(--color-gray);
}
/* Timeline */
.timeline {
position: relative;
padding-left: 2rem;
margin: 2rem 0;
}
.timeline::before {
content: '';
position: absolute;
left: 0; top: 0; bottom: 0;
width: 2px;
background: var(--color-gray-light);
}
.timeline-item {
position: relative;
padding-bottom: 2rem;
}
.timeline-item::before {
content: '';
position: absolute;
left: -2rem;
top: 0.5rem;
width: 10px;
height: 10px;
background: var(--color-black);
border-radius: 50%;
transform: translateX(-4px);
}
.timeline-item:last-child { padding-bottom: 0; }
.timeline-phase {
font-weight: 600;
font-size: 0.75rem;
text-transform: uppercase;
letter-spacing: 0.1em;
color: var(--color-gray);
margin-bottom: 0.5rem;
}
.timeline-title {
font-size: 1.125rem;
font-weight: 600;
margin-bottom: 0.5rem;
}
/* Package boxes */
.package {
background: var(--color-white);
border: 1px solid var(--color-gray-light);
padding: 2rem;
margin: 1.5rem 0;
}
.package-header {
display: flex;
align-items: center;
gap: 1rem;
margin-bottom: 1.5rem;
padding-bottom: 1rem;
border-bottom: 1px solid var(--color-gray-light);
}
.package-icon {
width: 48px;
height: 48px;
background: var(--color-black);
color: var(--color-white);
display: flex;
align-items: center;
justify-content: center;
font-weight: 700;
font-size: 0.875rem;
}
.package-name { font-size: 1.5rem; font-weight: 600; }
.package-tagline { color: var(--color-gray); font-size: 0.875rem; }
.package-features { list-style: none; padding-left: 0; }
.package-features li {
display: flex;
align-items: flex-start;
gap: 0.75rem;
margin-bottom: 0.75rem;
}
.package-features li::before {
content: '✓';
color: var(--color-red);
font-weight: 700;
}
/* Fee table */
.fee-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 0;
margin: 2rem 0;
border: 1px solid var(--color-black);
}
.fee-item {
padding: 2rem;
border-bottom: 1px solid var(--color-gray-light);
}
.fee-item:nth-child(odd) { border-right: 1px solid var(--color-gray-light); }
.fee-item:last-child, .fee-item:nth-last-child(2):nth-child(odd) { border-bottom: none; }
.fee-value { font-family: var(--font-serif); font-size: 2rem; margin-bottom: 0.25rem; }
.fee-label { font-size: 0.875rem; color: var(--color-gray); }
/* Disclaimer */
.disclaimer {
font-size: 0.875rem;
color: var(--color-gray);
padding: 2rem;
background: var(--color-gray-light);
margin: 2rem 0;
}
.disclaimer p { margin-bottom: 1rem; }
.disclaimer p:last-child { margin-bottom: 0; }
/* Footer */
footer {
background: var(--color-black);
color: var(--color-white);
padding: 4rem 0;
text-align: center;
}
footer p { color: var(--color-gray); font-size: 0.875rem; }
.footer-logo {
font-family: var(--font-sans);
font-weight: 700;
font-size: 2rem;
margin-bottom: 1rem;
color: var(--color-white);
}
.footer-contact { margin-top: 2rem; }
.footer-contact a {
color: var(--color-white);
text-decoration: none;
border-bottom: 1px solid var(--color-gray);
transition: border-color 0.2s;
}
.footer-contact a:hover { border-color: var(--color-white); }
/* TOC */
.toc {
background: var(--color-gray-light);
padding: 2rem;
margin: 2rem 0;
}
.toc h3 { margin-top: 0; }
.toc-list {
list-style: none;
padding: 0;
margin: 0;
display: grid;
grid-template-columns: 1fr 1fr;
gap: 0.5rem 2rem;
}
@media (max-width: 600px) { .toc-list { grid-template-columns: 1fr; } }
.toc-list a {
color: var(--color-gray-dark);
text-decoration: none;
font-size: 0.9375rem;
display: flex;
justify-content: space-between;
padding: 0.5rem 0;
border-bottom: 1px solid transparent;
transition: all 0.2s;
}
.toc-list a:hover { color: var(--color-red); border-color: var(--color-red); }
.toc-num { color: var(--color-gray); font-size: 0.75rem; }
/* Risk levels */
.risk-meter { display: flex; gap: 0.25rem; margin: 1rem 0; }
.risk-bar { height: 8px; flex: 1; background: var(--color-gray-light); }
.risk-bar.active { background: var(--color-red); }
/* Contact info */
.contact-grid {
display: grid;
grid-template-columns: repeat(3, 1fr);
gap: 2rem;
margin: 2rem 0;
}
@media (max-width: 768px) { .contact-grid { grid-template-columns: 1fr; } }
.contact-item { text-align: center; padding: 2rem; background: var(--color-gray-light); }
.contact-label {
font-size: 0.75rem;
text-transform: uppercase;
letter-spacing: 0.1em;
color: var(--color-gray);
margin-bottom: 0.5rem;
}
.contact-value { font-size: 1.125rem; font-weight: 500; }
/* Responsive */
@media (max-width: 768px) {
.cover-title { font-size: 2.5rem; }
h1 { font-size: 2.25rem; }
h2 { font-size: 1.75rem; }
.logo { font-size: 2.5rem; }
.nav { display: none; }
}
/* Signature block */
.signature-block {
margin-top: 3rem;
padding-top: 2rem;
border-top: 1px solid var(--color-gray-light);
}
.signature-line {
width: 200px;
border-bottom: 1px solid var(--color-black);
margin-bottom: 0.5rem;
height: 40px;
}
.signature-name { font-weight: 600; }
.signature-title { font-size: 0.875rem; color: var(--color-gray); }
</style>
</head>
<body>
<!-- Cover Page -->
<div class="cover">
<div class="logo-container">
<div class="logo">
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<h1 class="cover-title">Wayy Funds</h1>
<p class="cover-subtitle">Quantitative Investment Strategies for the Modern Era</p>
<p style="font-size: 1.125rem; max-width: 600px; color: var(--color-gray-dark);">
<em>research for people · people for research</em>
</p>
<div class="cover-meta">
<p>Investor Prospectus & Private Offering Memorandum</p>
<p class="cover-date">December 2024</p>
<p style="margin-top: 1rem;">Wayy Research LLC · Buffalo, NY</p>
</div>
<div class="confidential-badge">Confidential</div>
</div>
<!-- Navigation -->
<nav class="nav no-print">
<a href="#" class="nav-logo">wayy funds</a>
<ul class="nav-links">
<li><a href="#overview">Overview</a></li>
<li><a href="#technology">Technology</a></li>
<li><a href="#strategies">Strategies</a></li>
<li><a href="#terms">Terms</a></li>
<li><a href="#risks">Risks</a></li>
<li><a href="#contact">Contact</a></li>
</ul>
</nav>
<!-- Table of Contents -->
<section class="container">
<span class="section-number">§ 00</span>
<h2>Contents</h2>
<div class="toc">
<ol class="toc-list">
<li><a href="#summary">Executive Summary <span class="toc-num">01</span></a></li>
<li><a href="#overview">Investment Overview <span class="toc-num">02</span></a></li>
<li><a href="#technology">Technology Stack <span class="toc-num">03</span></a></li>
<li><a href="#strategies">Investment Strategies <span class="toc-num">04</span></a></li>
<li><a href="#products">Product Offerings <span class="toc-num">05</span></a></li>
<li><a href="#terms">Terms of Offering <span class="toc-num">06</span></a></li>
<li><a href="#management">Management Team <span class="toc-num">07</span></a></li>
<li><a href="#risks">Risk Factors <span class="toc-num">08</span></a></li>
<li><a href="#legal">Legal & Compliance <span class="toc-num">09</span></a></li>
<li><a href="#contact">Contact Information <span class="toc-num">10</span></a></li>
</ol>
</div>
</section>
<!-- Executive Summary -->
<section id="summary" class="container">
<span class="section-number">§ 01</span>
<h2>Executive Summary</h2>
<p class="lead">
Wayy Funds is a quantitative investment platform that leverages proprietary research tools,
advanced forecasting algorithms, and systematic trading strategies to generate risk-adjusted
returns for investors.
</p>
<p>
Built on the foundation of <span class="highlight">Wayy Research</span>—an AI/ML research and development
firm established in 2024—our investment platform integrates three core technology packages that work
together to identify, validate, and execute trading strategies across multiple asset classes including
equities, cryptocurrencies, and derivatives.
</p>
<p>
Our mission is simple: <strong>make sophisticated quantitative finance accessible</strong>.
While traditional hedge funds operate as black boxes, we believe in radical transparency.
Every strategy we deploy is rigorously backtested, statistically validated, and continuously monitored.
</p>
<div class="stats-grid">
<div class="stat">
<div class="stat-value">32+</div>
<div class="stat-label">Data Providers</div>
</div>
<div class="stat">
<div class="stat-value">100+</div>
<div class="stat-label">Crypto Exchanges</div>
</div>
<div class="stat">
<div class="stat-value">113</div>
<div class="stat-label">Test Coverage</div>
</div>
<div class="stat">
<div class="stat-value">2/20</div>
<div class="stat-label">Fee Structure</div>
</div>
</div>
<h3>What Makes Us Different</h3>
<div class="card-grid">
<div class="card">
<h4>Transparency First</h4>
<p>Every strategy is documented, every backtest is shared, every risk is disclosed. You always know what's happening with your money.</p>
</div>
<div class="card card-red">
<h4>Research-Driven</h4>
<p>Our strategies are built on rigorous academic research, including fractal market hypothesis and advanced statistical validation.</p>
</div>
<div class="card">
<h4>Technology-Enabled</h4>
<p>Purpose-built open-source infrastructure that processes market data in real-time across 32+ providers and 100+ exchanges.</p>
</div>
<div class="card card-red">
<h4>Statistical Rigor</h4>
<p>Every strategy undergoes permutation testing to ensure returns are statistically significant—not just luck.</p>
</div>
</div>
</section>
<!-- Investment Overview -->
<section id="overview" class="container page-break">
<span class="section-number">§ 02</span>
<h2>Investment Overview</h2>
<p class="lead">
Wayy Funds offers two distinct paths for investors: a subscription-based strategy deployment service
and direct investment in our managed fund strategies.
</p>
<h3>The Wayy Finance Platform</h3>
<p>
Wayy Finance is our comprehensive quantitative trading platform that integrates our three core
technology packages—<strong>FracTime</strong>, <strong>WRData</strong>, and <strong>WRTrade</strong>—into
a unified system for forecasting, data aggregation, and trade execution.
</p>
<h3>Investment Philosophy</h3>
<p>
Our investment approach is rooted in the belief that markets exhibit <em>fractal patterns</em>—repeating
structures at different time scales that can be identified and exploited through quantitative methods.
Rather than attempting to predict specific price movements, we seek to identify statistical edges that
persist over time.
</p>
<div class="callout">
<h4>Core Principles</h4>
<ul>
<li><strong>Systematic Execution:</strong> All trades are executed algorithmically based on predefined rules, removing emotional decision-making.</li>
<li><strong>Diversification:</strong> Multiple uncorrelated strategies operating across different asset classes and time horizons.</li>
<li><strong>Risk Management:</strong> Kelly criterion-optimized position sizing and strict drawdown limits.</li>
<li><strong>Continuous Validation:</strong> Ongoing monitoring and walk-forward testing to detect strategy decay.</li>
</ul>
</div>
<h3>Target Markets</h3>
<table>
<thead>
<tr>
<th>Asset Class</th>
<th>Instruments</th>
<th>Strategy Types</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Equities</strong></td>
<td>US stocks, ETFs, options</td>
<td>Trend following, momentum, mean reversion</td>
</tr>
<tr>
<td><strong>Cryptocurrencies</strong></td>
<td>BTC, ETH, altcoins, perpetual futures</td>
<td>Arbitrage, momentum, market making</td>
</tr>
<tr>
<td><strong>Derivatives</strong></td>
<td>Options, futures, structured products</td>
<td>Volatility trading, hedging</td>
</tr>
</tbody>
</table>
</section>
<!-- Technology Stack -->
<section id="technology" class="container page-break">
<span class="section-number">§ 03</span>
<h2>Technology Stack</h2>
<p class="lead">
Our platform is built on three open-source Python packages developed by Wayy Research.
This modular architecture ensures reliability, enables rapid iteration, and provides
complete transparency into our methodologies.
</p>
<!-- FracTime -->
<div class="package">
<div class="package-header">
<div class="package-icon">FT</div>
<div>
<div class="package-name">FracTime</div>
<div class="package-tagline">Fractal-Based Time Series Forecasting</div>
</div>
</div>
<p>
FracTime implements the Fractal Market Hypothesis through advanced time series analysis.
It provides tools for computing fractal properties of financial data—including Hurst exponents
and fractal dimensions—and uses these to generate probabilistic forecasts.
</p>
<ul class="package-features">
<li>Hurst exponent analysis for trend/mean-reversion classification</li>
<li>Ensemble forecasting combining ARIMA, GARCH, Prophet, and LSTM models</li>
<li>Monte Carlo simulation for confidence interval estimation</li>
<li>Walk-forward backtesting with comprehensive performance metrics</li>
<li>Automatic model selection with statistical significance testing</li>
</ul>
<p style="font-size: 0.875rem; color: var(--color-gray);">
<a href="https://github.com/Wayy-Research/fracTime" style="color: var(--color-gray);">github.com/Wayy-Research/fracTime</a>
</p>
</div>
<!-- WRData -->
<div class="package">
<div class="package-header">
<div class="package-icon">WD</div>
<div>
<div class="package-name">WRData</div>
<div class="package-tagline">Unified Market Data Infrastructure</div>
</div>
</div>
<p>
WRData provides dead-simple access to historical and real-time market data from over 32 providers
and 100+ cryptocurrency exchanges. A single API abstracts away the complexity of different data
sources, formats, and authentication methods.
</p>
<ul class="package-features">
<li>32+ data providers including Yahoo Finance, Polygon, Alpaca, FRED, and CoinGecko</li>
<li>Real-time WebSocket streaming from Coinbase, Finnhub, Kraken, and more</li>
<li>Level 2 orderbook data with full depth-of-market updates</li>
<li>Options chains with Greeks from Tradier and Interactive Brokers</li>
<li>Auto-detection of asset types from symbol patterns</li>
<li>Built on Polars for 10-50x faster processing than pandas</li>
</ul>
<p style="font-size: 0.875rem; color: var(--color-gray);">
<a href="https://github.com/Wayy-Research/wrdata" style="color: var(--color-gray);">github.com/Wayy-Research/wrdata</a>
</p>
</div>
<!-- WRTrade -->
<div class="package">
<div class="package-header">
<div class="package-icon">WT</div>
<div>
<div class="package-name">WRTrade</div>
<div class="package-tagline">Build, Test, Deploy, Trade</div>
</div>
</div>
<p>
WRTrade is our complete backtesting and live trading framework. It takes strategies from
research to production with built-in validation tools that ensure statistical significance
before any real capital is deployed.
</p>
<ul class="package-features">
<li>N-dimensional portfolio construction with hierarchical weighting</li>
<li>Permutation testing to detect overfitting (1000+ simulation runs)</li>
<li>Kelly criterion optimization for position sizing</li>
<li>Walk-forward validation with out-of-sample testing</li>
<li>CLI-based strategy deployment to paper and live trading</li>
<li>Multi-broker support including Alpaca and Interactive Brokers</li>
</ul>
<p style="font-size: 0.875rem; color: var(--color-gray);">
<a href="https://github.com/Wayy-Research/wrtrade" style="color: var(--color-gray);">github.com/Wayy-Research/wrtrade</a>
</p>
</div>
<h3>Technology Architecture</h3>
<div class="callout">
<p>
<strong>Data Flow:</strong> WRData aggregates market information → FracTime analyzes patterns
and generates forecasts → WRTrade constructs portfolios, validates strategies, and executes trades.
</p>
<p style="margin-bottom: 0;">
All code is open-source and MIT-licensed, enabling investors to audit our methodologies
and verify our claims independently.
</p>
</div>
</section>
<!-- Investment Strategies -->
<section id="strategies" class="container page-break">
<span class="section-number">§ 04</span>
<h2>Investment Strategies</h2>
<p class="lead">
Our strategies are research-driven, rigorously validated, and designed to generate returns
through systematic exploitation of market inefficiencies rather than directional bets.
</p>
<h3>Strategy Development Process</h3>
<div class="timeline">
<div class="timeline-item">
<div class="timeline-phase">Phase 1</div>
<div class="timeline-title">Research & Hypothesis</div>
<p>Identify potential market inefficiencies through academic research, fractal analysis, and pattern recognition across historical data.</p>
</div>
<div class="timeline-item">
<div class="timeline-phase">Phase 2</div>
<div class="timeline-title">Backtest Development</div>
<p>Implement the strategy programmatically and run extensive backtests across multiple market regimes and time periods.</p>
</div>
<div class="timeline-item">
<div class="timeline-phase">Phase 3</div>
<div class="timeline-title">Statistical Validation</div>
<p>Run 1000+ permutation tests to verify that performance is statistically significant (p-value < 0.05) and not due to chance.</p>
</div>
<div class="timeline-item">
<div class="timeline-phase">Phase 4</div>
<div class="timeline-title">Walk-Forward Testing</div>
<p>Validate on out-of-sample data to ensure the strategy generalizes beyond the training period.</p>
</div>
<div class="timeline-item">
<div class="timeline-phase">Phase 5</div>
<div class="timeline-title">Paper Trading</div>
<p>Deploy to paper trading for 30-60 days minimum to verify execution and behavior in live market conditions.</p>
</div>
<div class="timeline-item">
<div class="timeline-phase">Phase 6</div>
<div class="timeline-title">Live Deployment</div>
<p>Graduate to live trading with conservative position sizing, with continuous monitoring for strategy decay.</p>
</div>
</div>
<h3>Strategy Categories</h3>
<h4>Trend Following</h4>
<p>
These strategies identify and follow directional trends across multiple timeframes. Using fractal
analysis, we determine whether an asset is in a trending (Hurst > 0.5) or mean-reverting
(Hurst < 0.5) regime and position accordingly.
</p>
<h4>Mean Reversion</h4>
<p>
When assets deviate significantly from fair value, our mean reversion strategies take contrarian
positions. We use statistical measures including z-scores, Bollinger Bands, and RSI to identify
oversold/overbought conditions.
</p>
<h4>Multi-Strategy Portfolios</h4>
<p>
Rather than relying on any single approach, we construct portfolios of multiple uncorrelated
strategies. Kelly criterion optimization determines the optimal allocation to each strategy.
</p>
</section>
<!-- Product Offerings -->
<section id="products" class="container page-break">
<span class="section-number">§ 05</span>
<h2>Product Offerings</h2>
<p class="lead">
We offer two distinct products to serve different investor needs: a subscription-based
strategy deployment service and a managed investment fund.
</p>
<h3>Product 1: Strategy Subscription Service</h3>
<p>
For investors who want to maintain control of their own brokerage accounts while leveraging
our research and strategies, we offer a subscription service that deploys our validated
strategies directly to your Alpaca brokerage account.
</p>
<div class="card-grid">
<div class="card">
<h4>How It Works</h4>
<p>Connect your Alpaca account → Select from our library of validated strategies →
Our system executes trades automatically based on your risk parameters.</p>
</div>
<div class="card card-red">
<h4>You Maintain Control</h4>
<p>Your capital stays in your account. You can pause, adjust, or stop strategies
at any time. Full transparency into every trade.</p>
</div>
</div>
<table>
<thead>
<tr>
<th>Subscription Tier</th>
<th>Features</th>
<th>Monthly Fee</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Starter</strong></td>