A Quick "About Me"

My name is Chris. I started trading in 2007. I started with penny stocks, like most, then worked through large-cap stocks, forex, options, and eventually into futures, where I have now been solely trading NQ for a few years. I trade using a statistical approach, mainly employing probabilistic frameworks, based on large data sets. I use old-school price action concepts from the likes of Richard Wyckoff and a few others, combined with some custom tools and stats, to generate my trade ideas.

My edge is not my strategy, but rather my process. I use a system of checks and balances to ensure I am taking trades where real-time price aligns with historical outcomes derived from data, which generates the highest possible expectancy. This process emphasizes discipline and self-control, focusing on identifying repeatable patterns in the market while avoiding impulsive behaviors that can derail even the best setups.

In trading terms, expectancy refers to the average profit (or loss) per trade over time, calculated by factoring in win rates, average wins, and average losses—essentially ensuring that each trade setup has a positive expected value based on probabilistic models rather than guesswork. By prioritizing this rigorous, data-driven validation over chasing "secrets" or overly complex strategies, I've found that consistent success comes from mastering personal flaws and maintaining flexibility in execution.

I do not sell anything. I have a platform called "NQ Stats" where I have outlined a few of the statistical frameworks I use, which are provided for free. This platform serves as a comprehensive metrics library for Nasdaq-100 E-mini futures (NQ) traders, offering a wealth of statistics, probabilities, and historical data to help identify analytical edges without any cost or obligations.

I created “NQ Stats” to counter the prevalence of low-value content in trading communities, such as overpriced indicators or courses from unproven sellers, and instead provide genuine, proven value to aspiring traders interested in a statistical approach. You can find the links on the homepage of this site. Various people have made indicators based on these frameworks, which you can find a consolidated thread of indicators on the NQStats X account.

Trading is a long game that rewards patience, continuous learning, and an unrelenting focus on process over outcome. I share what I’ve learned not to impress or to gain followers, but because I believe the more traders who adopt a rigorous, evidence-based approach, the healthier the conversation around markets becomes. If any of this resonates with you, feel free to explore the free resources. There’s no catch, just information that’s helped me survive and improve over nearly two decades in the markets.