An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
Chartself
$12Starting price
0Popularity
About Chartself
Chartself analyzes a trader’s historical trade data to identify recurring behavioral patterns that negatively impact performance. It flags specific habits such as revenge trading, time-of-day trading leaks, and rule violations, attaching dollar costs to each detected pattern. The tool supports broker synchronization or CSV imports to clean and structure trade history before analysis. Users can set custom risk rules that the system automatically scores against each trade, highlighting deviations and their financial impact. An AI assistant allows natural-language queries about the data, with responses generated from the user’s own trade records. The platform provides visualizations including equity curves, calendars, and setup breakdowns by symbol, direction, and hold time. Pattern detection operates continuously in the background while users continue trading normally.
Key features
- Revenge-trade detection with timing analysis
- Time-of-day trading leak identification
- Custom risk-rule tracking and scoring
- Setup-based performance breakdowns
- Equity curve and calendar visualization
- Broker synchronization and CSV import
- AI assistant for natural-language queries
- Psychology profile tracking
Use cases
- Identifying and quantifying costly trading habits
- Analyzing performance by trading setup and time of day
- Monitoring compliance with personal risk management rules
Pros
- Flags behavioral trading patterns with attached dollar costs
- Supports broker sync and CSV imports for trade history
- Customizable risk-rule tracking and scoring
- AI assistant answers questions about trade data in plain English
- Provides setup breakdowns and performance analytics
Cons
- No mobile application available
- Requires manual trade logging if broker sync is unavailable
- Limited to English language interface
Frequently asked questions about Chartself
What does Chartself do?
Chartself analyzes a trader’s historical trade data to identify recurring behavioral patterns that negatively impact performance, such as revenge trading, time-of-day trading leaks, and rule violations. It flags these habits with their associated dollar costs and provides visualizations and insights based on the user’s own trade records.
Who is Chartself suitable for?
Chartself is designed for traders who want to improve their performance by identifying and addressing behavioral patterns in their trading. It suits both individual traders and those looking to refine their strategies through data-driven insights.
How does Chartself integrate with brokers?
Chartself supports broker synchronization with a growing list of supported brokers, allowing automatic import of trade history. Alternatively, users can import trade data via CSV files from any broker. The platform cleans and structures the data for analysis.
Can I ask questions about my trades in natural language?
Yes, Chartself includes an AI assistant that allows users to ask questions about their trade data in plain English. The AI responds using the user’s own trade records, and the data is not used to train external models.
What kind of visualizations does Chartself provide?
Chartself offers visualizations such as equity curves, calendars, and breakdowns of performance by setup, symbol, direction, and hold time. These help users identify trends and areas for improvement in their trading.
How do I get started with Chartself?
To get started, users can create a free account on Chartself’s website. They can then import their trade history via broker synchronization or CSV upload, and begin analyzing their trading patterns immediately.
