Hoc-Trade

Hoc-Trade is a technology company that develops behavioral analysis algorithms for retail trading. Our core product, TradeMedic™ AI, analyzes a trader's actual trading history to identify the specific behavioral and strategic patterns that most affect their performance, quantifying each pattern's real impact in the trader's own data. The algorithms are used by traders and brokers globally across forex, gold, oil, indices, crypto, and other CFD markets.

Founded 2021·Registered in Singapore·Behavioral trading technology

What we do

Behavioral analysis for retail trading

We build algorithms that answer a specific question: what is a trader actually doing, and which of those behaviors are costing or making them money?

Retail trading performance is shaped as much by behavioral patterns (how often someone trades, how they react to a loss, when they take profits, whether they align with the trend) as it is by market-reading or strategy. The patterns are individual, often persistent, and measurable. We built TradeMedic to detect them.

The platform ingests a trader's historical trade data and, drawing on an ongoing analysis of over 500,000 retail trader accounts, identifies the patterns that correlate most strongly with that trader's realized performance. Every finding is quantified in the trader's account currency. Every insight is grounded in that trader's own trades, not a generic checklist. Our research program publishes a selection of these findings as data-backed studies; the full, personalized analysis is available directly to traders and through broker partners globally.

Scope and compliance

What Hoc-Trade does not do

We are not a financial services provider.

We do not provide financial, investment, or trading advice. We do not manage funds, execute trades, or make recommendations about what to trade or when. Our algorithms analyze behavioral patterns from historical trading data; any decision about how to trade, what to trade, or how much to risk remains solely the trader's.

How we work

Three principles

Data before intuition

Every pattern our algorithms detect, every claim we publish, and every insight in a TradeMedic report is derived from observed trading behavior. When we don't have data for something, we don't make a claim.

Constructive framing

Our algorithms identify behavioral patterns costing traders money, but we call these improvement opportunities, not weaknesses. Behavioral finance works when traders engage with the feedback, not when they feel judged.

Transparency over polish

Our methodology is published. Our dataset is cited in every finding. When a statistic comes from our research, we say so, with attribution. Trust in behavioral research is earned by showing the work.

Leadership

Founders

Jonas Schleypen

CEO and Co-founder

Jonas brings 15+ years of active trading experience across forex and CFD markets, managing both external and proprietary capital. Before Hoc-Trade, he worked as an M&A strategy consultant at KPMG and Alvarez & Marsal. At Hoc-Trade, he leads product strategy, research direction, and broker partnerships.

Steven Tan

Head of Data and Co-founder

Steven brings a deep academic and practitioner background in behavioral finance. He holds a Bachelor in Mathematics and a Master in Economics and Finance, and was previously a PhD candidate at IESE focused on behavioral finance and network theory. Before Hoc-Trade, he worked in high-frequency trading and market making at a crypto exchange.

Research

Our research program

TradeMedic Research is our ongoing analysis of behavioral patterns across the retail trading population. Findings are published monthly and freely citable. The full dataset covers 500,000+ trader accounts and is updated continuously as new trade data is ingested.

Read the research

Partners

How TradeMedic reaches traders

TradeMedic™ AI is available to traders through brokers, exchanges, and trading platforms globally. Partnership details, integration options, and white-label specifications are available on request.

Partner with us

For press, research citations, broker partnerships, and general inquiries: contact Hoc-Trade