(our fifth recurring update)

🚀 Quick Pulse — New Engineer Joins Doomsun

We’re excited to welcome Zachary Roth (PhD, Mathematics) to the team as our newest engineer and data scientist! Zachary’s background in advanced mathematics, data science, and software engineering will help us accelerate Daylight’s development and core NOVA capabilities.

(Missed our last update? Newsletter #4 talked about our $100K NDED Prototype Grant and the introduction of our first product, Daylight.)

🌎 New Here?

Doomsun is a fintech company operating in the algorithmic trading space with a focus on turbulent markets. We're building NOVA, our platform for systematic trading and product development. As our own first customer, we use tools developed on NOVA to create our trading strategies and we validate our strategies in our internal prop fund.

NOVA enables trading strategy development by combining advanced signal processing and machine learning techniques that reveal underlying market structure and how it is changing over time. NOVA employs highly configurable models that can be easily composed into a multitude of different strategies for quick development, deployment, and iteration to converge on effective strategies quickly.

On top of our NOVA platform, we're building Daylight. This is our first user-facing SaaS product, which gives traders insights into how a market is evolving by generating short-term market forecasts. It's our first step in productizing the technology behind NOVA for a wider audience.

Core Team

• Joe Smith (CEO): 20+ years leading engineering teams across industries, including finance/fintech (Crescent Financial, Nubank, Cognitect), architecting and building distributed systems.

• Daemian Mack (CTO): 20+ years in software development, including building finance systems for Fortune 50s and neo-banks (Crescent Financial, Nubank, Cognitect); now leads NOVA's development.

• Harry McDonald (Business Development): Nebraska Wesleyan graduate focusing on fundraising, strategy development, operations, and investor relations.

• Zachary Roth (Engineering: Data Science): PhD in Mathematics, data science expertise, and helping with Daylight’s backend development.

💡 Inside NOVA Labs: The Prop Fund Advantage

In about three months, we’ll launch our own internal proprietary fund. This will be funded solely with capital from the co-founders.

Why does this matter? Because it makes us our own first customer. Before anyone else uses NOVA, Daylight, or future products, we’ll be proving them in the only place that counts: live markets with real money.

Here’s how it works:

• From models to strategies: We create models, and NOVA takes it from there, turning them into fully systematic strategies that can be deployed and tested in the prop fund.

• Full-system test: This is the first time every component of NOVA, models, simulations, risk framework, portfolio construction, execution, etc., runs together with real capital. It’s our chance to showcase the entire system in action.

• Rapid iteration: Live trading forces every part of NOVA to evolve. Portfolios are constantly rebalanced, strategies are tested under shifting market structures, and risk models interact in real-time. Some strategies may gain allocation, others may be dialed back, but the point isn’t simply “reward winners.” NOVA lets us adapt quickly, whether that means changing a time frame, swapping a risk model, or discarding a strategy altogether. Backtests can only take you so far; the prop fund gives us the fastest possible feedback loop to refine both models and the system itself.

• Why it matters: The technology developed for NOVA and validated with our prop fund will be used to power Daylight and every future product we release. As our own first customer, we can shorten the feedback cycle to achieve product market fit. The theory is:  if it’s useful for us, it will be useful to other traders.

🔬 Daylight Update

In the last newsletter, we introduced Daylight as our market forecasting tool. Let’s dive deeper into how it works (at least at a high level). 

Markets have hidden structure, volatility regimes, correlation shifts, and other statistical fingerprints that you can't see on a chart. NOVA detects these patterns, and Daylight makes them visible.

When you run a simulation in Daylight, you're not just testing "what if the price goes up?" You're seeing how the market's underlying structure suggests it might behave based on the assumptions you provided. If a volatility cluster is building, if correlations are breaking down, if the statistical signature is shifting, Daylight shows you what the market is capable of next.

🏆 Recent Milestones

1. Zachary onboarded: In his first 3 weeks, Zachary has helped us get from a product requirements doc and basic architecture outline to the implementation framework for Daylight’s machine learning model and web services.

2. Investor momentum building: Recent SAFE closings and multiple active conversations.

3. Engineering momentum: The entire team is now building across NOVA, Daylight, and iterating on early Alpha Models and Strategies.

🔨 Current Focus

• All hands on deck: Joe, Daemian, and Zachary collaborating on core NOVA architecture while laying Daylight's foundation.

• Investor conversations: Actively engaging with angels who understand the trading + tech intersection.

• Strategy refinement: Continuing development of our volatility clustering models for Q1 deployment.

🙏 How You Can Help

1. Angel investor intros: We're looking for angel investors with tech/fintech or trading backgrounds who share our practitioner-first approach.

2. Connect us with active traders: We are starting to build our Daylight waitlist. Do you know traders who would be interested in early access or as design partners? Please send them to the email below!

Questions? Ideas? Want to know how you can help? Reach out at [email protected].

Thank you for following our journey and tuning in to the Event Horizon. See you in a couple of weeks!

Best,

The Doomsun Team