Calvin Fu, Founder and CEO of Jenacie AI, is reshaping automated trading
In markets where opportunities appear and disappear in seconds, speed can be an advantage—but it can also be a trap. For many active traders, the real challenge isn’t accessing data or placing an order. It’s staying consistent when adrenaline, fear, and overconfidence start driving decisions.
That’s the problem Calvin Fu set out to solve when he founded Jenacie AI, a fintech company creating automated trading systems designed to shift traders away from discretionary, emotion-driven execution and toward repeatable, testable workflows.
The company’s positioning is blunt and intentionally provocative: “We, Robot.” The premise is that trading’s next evolution will be defined less by nonstop chart-watching and more by automation—where research, testing, optimization, and execution can be run as a unified process.
“Automation is becoming the next layer of modern trading,” Calvin Fu says.
“We’re building what comes next.”
A founder’s push toward automation over emotion
For Calvin Fu, the argument isn’t that traders lack intelligence. It’s that markets punish inconsistency—and inconsistency often comes from the same human instincts that once helped people survive risk. In trading, those instincts can become liabilities: chasing, revenge trading, oversized positions, and breaking rules after a few wins.
Jenacie AI’s mission is to democratize systematic and quant-style trading, making disciplined automation accessible beyond institutional desks. In company materials, Jenacie AI describes its goal as replacing “40+ hours of manual trading” with automated execution—designed to help traders spend less time monitoring charts and more time managing process and risk.
The broader context is hard to ignore. Many retail traders spend significant time in front of screens, yet long-term consistency remains elusive. Meanwhile, professional trading organizations face escalating costs recruiting quantitative talent, building infrastructure, and maintaining fragmented stacks of tools for data, research, execution, and monitoring.
Fu believes the gap is increasingly about workflow: institutions build systems; retail traders often build habits.
Jenacie AI’s bet is that retail traders—especially experienced traders and prop-firm participants—want tools that behave more like an “engine” than a “signal.”
AI, Robot: Discipline at scale
Jenacie AI positions its platform as an end-to-end environment that connects the core components of systematic trading: market data intake, strategy development and evaluation, testing and optimization, and then automated execution through broker connections.
Instead of juggling separate tools, the company’s platform thesis is consolidation—one environment where strategies can be evaluated, refined, and deployed with defined guardrails.
In practice, Jenacie AI emphasizes automated robots that can connect directly to users’ brokerage accounts, aiming to bring institutional-style process to individuals who want repeatability, speed, and risk controls without relying on constant manual intervention.
“We are here to democratize quant trading,” Calvin Fu says.
Performance context: what Jenacie AI says its data shows
Performance claims in trading demand careful framing—and responsible readers should treat any historical results as context, not prediction.
Jenacie AI states that, based on multi-year testing results from 2021–2025, and using verified broker summaries from NinjaTrader, it observed approximately ~80% average annualized returns, with maximum historical drawdown capped at ~7%, and a profit factor near ~5.0. The company also says its systems include risk controls such as trend detection and an automatic trading halt mechanism designed to constrain downside risk while allowing upside potential.
Jenacie AI further reports that its automated systems have passed 20+ proprietary trading firm evaluations, including firms such as Apex Trader Funding and Topstep—an arena the company notes is notoriously difficult, with typical pass rates often cited as low.
Still, the fine print matters: testing assumptions, market regimes, slippage, commissions, execution quality, and configuration differences can materially change outcomes. The company’s reported results should be viewed as historical, and not as a guarantee of future performance.
System integrations and where automation actually matters
A common misconception is that automation is only about “speed.” But in liquid markets, speed without logic is just activity. Jenacie AI’s focus is more practical: consistent execution, risk controls, and a structured workflow that can be monitored and improved.
In company materials, Jenacie AI describes support for multiple asset classes—futures, stocks, forex, and cryptocurrencies—subject to platform, broker integration, and regulatory availability. It also describes integrations with major brokers and trading platforms, including NinjaTrader, Interactive Brokers, Tradovate, Coinbase, TD Ameritrade, and cTrader, along with other API-based connectivity paths.
While broad coverage is part of the pitch, the company notes that many users gravitate toward high-liquidity instruments—where tighter spreads and deeper order books can reduce execution friction and make systematic trading more measurable.
What’s next: distribution, ecosystem, and long-term thinking
Jenacie AI says it has reached a milestone in building its core infrastructure—uniting platform services, product development, and supporting systems into a unified environment. From there, the company describes its next chapter as expanding distribution and long-term platform capabilities as adoption of automation tools grows across global markets.
The company also indicates it is exploring multiple strategic paths for future growth, including partnerships and public-market–aligned structures, as it continues to develop its technology and ecosystem.
For traders, the strategic direction matters less than the practical outcome: whether automation can be made accessible, measurable, and robust enough for real-world conditions—not just optimized backtests.
The mind behind the machine
Calvin Fu leans into discipline — both mental and physical. A fintech designer and developer, Fu focuses on systematic execution, risk management, and automation. He is an official NinjaTrader partner and has passed more than 20 proprietary trading firm evaluations, a rare feat in an industry defined by high failure rates.
Outside of trading, Calvin Fu points to competitive chess as foundational training. “Every decision I make is calculated — I always think 10 moves ahead,” he says.
He also trains in martial arts and boxing, framing it as another form of pressure-testing: learning to stay calm, follow a plan, and keep structure when outcomes feel uncertain.
Whether in trading or sport, the principle is the same—systems determine long-term success.
The Shift From Human Effort to Systematic Execution
The broader message behind Jenacie AI isn’t that human traders are obsolete. It’s that many traders are trying to solve a systems problem with willpower—and willpower doesn’t scale.
Calvin Fu’s thesis is that the next generation of traders will look less like full-time chart-watchers and more like operators: people who build rules, test them, deploy them, and audit them. If the trader’s job becomes less about clicking and more about managing a repeatable process, “edge” starts to look like engineering.
In that sense, “We, Robot” isn’t a slogan about replacing people. It’s a claim about replacing the weakest part of trading—unstructured decision-making—before it replaces the trader’s account.
About Jenacie AI
Jenacie AI is a fintech company building an AI-powered automated trading platform designed to unify market data, strategy research, optimization, and automated execution. The company’s mission is to democratize access to trading automation across global markets.
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Disclaimer
Jenacie AI does not promote stock picks, trading signals, newsletters, or investment advice of any kind. The company operates solely as a fintech software provider, focused on developing automated trading infrastructure and technology.
Jenacie AI’s mission is to deliver software tools that support trading automation as the financial industry continues to evolve toward artificial intelligence.
