Tradonite is an AI trading journal for day traders and prop firm traders. It is described as helping users improve performance through habit tracking and gamified progress, with a focus on making trading more consistent and profitable.
Its feature set includes AI coaching, psychology journaling, habit tracking, and deep analytics. The AI coach analyzes trades, emotions, and habits, then gives personalized steps intended to address what is hurting results. The psychology journal records emotions such as fear, FOMO, and revenge trading alongside trades so users can review behavioral patterns. The habit tracker turns routines like pre-market preparation and post-session reviews into measurable streaks, and the analytics feature covers profit factor, expectancy, drawdown, and performance by session and setup. Tradonite also says it connects analytics to emotions and daily habits. For mentors or coaches, there is a dashboard for reviewing students’ trades, emotions, and habit streaks, with trade-specific feedback.
Tradonite is presented for serious traders, especially day traders and prop firm traders. Its learning hub offers practical guides on journaling, psychology, risk management, and prop firm preparation. The site also includes compare pages against TradeZella, TraderSync, Tradervue, Edgewonk, and TradesViz, which indicate the product is being discussed in relation to other trading-journal tools.
Pricing is described as simple and transparent, with Essential, Pro, and Elite plans. The pricing page says those plans include AI coaching, psychology tools, and habit tracking. The site also includes pages for affiliate, disclaimer, privacy, and terms.
Tradonite is a Trading bots, indicators & backtesting project. It focuses on tracking and analyzing trading performance to help day traders improve habits and profitability. It is built as a consumer product for day traders. A free plan is available; paid tiers begin at $19. It ships for the web.
Tradonite first shipped in 2024. Key capabilities include AI coaching, habit tracking, and performance analytics.
Summary written by a language model from the project’s public pages.
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