Signal Atlas is a quantitative research–driven trading service focused on identifying persistent, data-backed anomalies in the U.S. equity markets.
Our strategies are developed using academic-grade quantitative research methods, including large-sample historical analysis, robustness testing across market regimes, and strict rules-based execution. We focus on systematic signals rather than discretionary judgment, opinions, or short-term prediction.
Subscribers receive clearly defined trading signals generated by these strategies, delivered on a recurring basis. Signals are rules-based, transparent in intent, and designed to be executed consistently over time. Access to these signals is offered via a monthly subscription.
In addition to signal access, we offer an optional automated-trading setup service for subscribers who want hands-off execution. As part of this service, we work directly with clients to configure automated trading on their own computers and brokerage accounts using official broker APIs.
Important clarifications:
We do not take custody of client funds
We do not place trades on behalf of clients
All trading occurs within the client’s own brokerage account
Execution logic is client-controlled and can be paused or disabled at any time
Currently, we support automated setups for Charles Schwab and Interactive Brokers. Setup is performed collaboratively via secure remote access, ensuring clients retain full visibility and control over their accounts and API permissions.
Signal Atlas is designed for traders who value systematic discipline, transparency, and research-driven decision-making, rather than hype, discretionary calls, or performance guarantees.
You’ve got questions. We have answers.
No. There are no guarantees.
All trading strategies experience drawdowns, and losses are part of any real system. Signal Atlas is designed for users who understand risk, follow rules consistently, and evaluate performance over full market cycles rather than individual trades.
Signal Atlas is built for traders and investors who:
Prefer rules over narratives
Are comfortable with systematic approaches
Want signals driven by data, not emotion
Understand that discipline matters more than prediction
It is not designed for day-trading hype, get-rich-quick expectations, or discretionary signal chasing.
For the automated trading setup, we typically meet via a remote call. During the session, we securely connect to your computer, configure the required components using Google Cloud, and walk you through the setup. You’ll also receive clear instructions on how to operate and manage the system going forward.
Automated trading is strongly recommended. Although signals can be monitored manually, this requires being constantly alert and ready to act. Automation removes that burden and requires only light ongoing maintenance.
We can be reached at signalatlas1@gmail.com.
My name is Sam, the founder of SignalAtlas. I’ve spent several years researching quantitative trading strategies and created SignalAtlas to share these systems with others while continuing to use them in my own trading.