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A trading ecosystem built around behavioral profiling
DojiPad is a trading ecosystem built around behavioral profiling — a set of integrated tools that learn your patterns across everything you do, so you can learn from yourself and trade with more self-awareness.
It comes out of a background in biopsychology and neuroscience — the foundation of DojiPad's behavioral-profiling approach. Most trading journals only track numbers; DojiPad is built around behavior and psychology, spotting the recurring execution patterns behind your results, not just logging P&L.
One integrated ecosystem that learns your patterns across everything you do. All of this is live.
Connect your broker, DEX, and CEX accounts and trades log themselves — no copy-paste, no manual entry.
Trades log live as they happen, so your journal stays current while you trade.
Import history from major platforms, with a standard auto-detect format for the rest.
The behavioral engine coaches you live, in the moment — not just in a post-trade review.
Build and manage a portfolio inside DojiPad, tracked in real time, with DJ coaching on it live.
Built by a trader, for traders — solo, day in and day out. It started as a tool I needed myself.
Grounded in biopsychology and neuroscience. Most journals log P&L; DojiPad is built around behavior and psychology.
Bring your own keys, encrypted at rest. Your data is yours — it is never sold or shared.
No gurus, no get-rich promises. The goal is self-awareness and consistent execution, not a highlight reel.
One person, from a personal tool to a real product.
Founder & CTO
Brings 7+ years in DeFi, AI, and trading infrastructure — developing institutional-grade, non-custodial systems that manage multi-million-dollar AUM under live execution.
Background in biopsychology and neuroscience — the foundation of DojiPad's behavioral-profiling approach. Built DojiPad solo, day in and day out.
I built a personal trading journal locally, to solve my own problem — track what I was actually doing, not just the P&L.
First repo pushed — the pivot from a local tool to a scalable, multi-user product.
The DJ AI coach came in very early — coaching grounded in your own trading, not generic advice.
The trading simulator and the course were already built — practice and structured learning alongside the journal.
Deep RAG optimization, so DJ's coaching is grounded in retrieved context rather than guesswork.
The deep behavioral engine — learning your patterns across everything you do — now supporting real-time coaching.
Start journaling, let DJ learn how you trade, and trade with more self-awareness.