What is Tradapt?
Tradapt is a trading journal designed to help traders track, analyse, and improve their trading performance. It records trades, captures entry and exit decisions, and provides analytics to identify patterns in your behaviour and outcomes. The tool also includes AI coaching features that offer feedback on your trades and decision-making process. This appeals to active traders across stocks, forex, cryptocurrencies, and other markets who want to move beyond gut-feel trading and build a data-driven understanding of what works. The freemium model lets you start tracking trades at no cost, with paid options for deeper analytics and coaching.
Key Features
Trade logging
record entries, exits, positions, and trade rationale directly into the journal
Performance analytics
view win rate, average win/loss, risk-reward ratios, and other metrics to spot patterns
AI coaching
receive feedback on individual trades and trading behaviour to guide improvement
Trade filtering and search
find and group trades by symbol, strategy, time period, or outcome
Visual charts and reports
review your performance graphically across different timeframes and conditions
Pros & Cons
Advantages
- Discipline tool: the act of journalling forces reflection on why you entered and exited each trade
- Data-driven insights: analytics reveal which strategies and conditions actually work for you, not just what feels right
- AI feedback: coaching offers specific, actionable observations about your trading behaviour without needing a human mentor
- Free tier available: low barrier to entry for traders testing their journalling habit
Limitations
- Requires manual input: unless connected to your broker, you must log trades yourself, which takes time and can feel tedious
- AI quality depends on data: the coaching recommendations are only useful if you've logged trades consistently and provided clear reasoning
Use Cases
A day trader reviewing whether their morning scalping strategy actually beats their afternoon range trading over the past month
A swing trader comparing their win rate and average return when trading with support/resistance versus moving averages
A new trader building discipline by logging every position and reviewing where they deviate from their plan
A trader trying to reduce emotional decision-making by tracking what they felt during trades and how emotions affected outcomes