Overview
- Perform deep stock fundamental analysis and valuation on thousands of stocks and ETFs using conversational AI—just ask questions in plain language to get performance, valuation, and risk breakdowns instantly
- Backtest portfolio strategies against historical market data to uncover drawdowns, volatility, and risk-adjusted returns without writing a single line of code
- Test technical, mean-reversion, factor, earnings, and sentiment trading strategies in human-readable language and compare their historical performance side by side
- Stress-test your portfolio against historical market crises to see how your holdings would have weathered past downturns and assess your true risk exposure
- Measure how your holdings move together and evaluate factor concentration to identify hidden correlation risks and diversification gaps in your portfolio
- Run side-by-side peer comparisons on fundamentals, valuation, and performance to evaluate competing securities and make sharper investment decisions
- Save custom strategies and screeners for instant reuse, eliminating repetitive setup and keeping your research workflow consistent across sessions
- Track watchlists with automated alerts when securities enter or exit your screening criteria so you never miss a meaningful portfolio shift
Pros & Cons
Pros
- Stock analysis
- Portfolio backtesting
- Stock fundamental analysis
- Advanced quantitative research
- No coding skills required
- Wide range stock analysis
- ETFs analysis
- Backtesting capabilities
- Historical market data
- Performance insights
- Volatility insights
- Risk-adjusted returns insights
- Technical strategy backtesting
- Mean-reversion strategy backtesting
- Factor strategy backtesting
- Earnings strategy backtesting
- Sentiment strategy backtesting
- Strategies in human-readable language
- Strategy performance comparison
- Strategy risk comparison
- Portfolio against historical crises
- Holdings movement analysis
- Factor concentration analysis
- Peer comparisons
- Watchlists
- Investment alerts
- Strategy saving
- User-friendly
- End-of-day market data
- Company fundamentals
- Financial statements
- Technical indicators
- Company-level news
- Market-level news
- Real investment portfolios
- performance analysis
- drawdowns analysis
- risk-adjusted returns analysis
- Portfolio behavior exploration
- strategy rules definition
- securities backtesting
- portfolios backtesting
- datasets backtesting
- securities comparison
- portfolios comparison
- datasets comparison
- Correlation analysis
- Portfolios exposure
- Side by side securities
- Market intelligence
- Sector intelligence
- Index-level context
- Company news
- Market news
- Event studies
- Cohort returns measurement
- IPOs
- Earnings dates
- Candlestick patterns
- Free Stock Backtester
Cons
- No real-time data
- No mobile app
- No trading execution
- Limited multi-asset support
- No predictive analytics
- No community feature
Reviews
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❓ Frequently Asked Questions
QuantiBot.ai is an AI investment research platform focused on stock analysis, portfolio backtesting, financial data interaction, and stock fundamental analysis through conversational AI. This tool serves to make advanced quantitative research accessible to individual investors and professionals, even if they do not possess an advanced finance background or coding abilities.
QuantiBot.ai's conversational AI works by allowing users to engage with financial data and perform stock analysis through plain-language conversation. This conversational approach enables individuals to carry out financial data interaction and analysis using everyday language, eradicating the need for complex finance jargon or advanced familiarity with financial markets.
QuantiBot.ai provides fundamental, performance, valuation, and risk analyses on a large variety of stocks and ETFs. Its platform allows users to analyze various aspects of stocks and ETFs efficiently, offering profound insights into performance, drawdowns, volatility, and risk-adjusted returns.
Yes, QuantiBot.ai is designed to be used even by those who do not have any coding skills. Its main tenet is accessibility, and as such, users are not required to have any advanced finance background or coding skills to successfully utilize its functions. The platform facilitates financial data interaction and analysis using plain language.
QuantiBot.ai offers users extensive portfolio backtesting capabilities. You can define and analyze portfolios as well as strategies and run them against historical market data. This provides you with insight into the portfolio's historical performance, drawdowns, volatility, and risk-adjusted returns.
Indeed, QuantiBot.ai provides facilities for in-depth strategy research. Users can backtest various strategies such as technical, mean-reversion, factor, earnings, and sentiment strategies without writing any line of code. The platform allows for exploration and definition of strategy rules in a language that humans can easily understand.
Yes, QuantiBot.ai allows users to compare the historical performance and risk characteristics of different strategies. The platform's features make it straightforward to define strategy rules in human-readable language and draw comparisons between their historical performances and risk attributes.
With QuantiBot.ai, you can run your portfolios against historical market crises to see how your holdings would have performed. The system offers features to measure how holdings move together and assess factor concentration, providing valuable insights regarding portfolio resilience in market downturns.
The purpose of peer comparisons in QuantiBot.ai is to provide users with a way to compare securities side by side on fundamentals, valuation, and performance. This feature allows for a comprehensive evaluation of various stocks, offering useful insights to make informed investment decisions.
QuantiBot.ai has an in-built feature that allows users to save their strategy configurations and screening parameters for future use. The platform helps individuals keep track of their investment strategies and enables quick and easy reuse at any time, enhancing efficiency in financial analysis and decision-making.
QuantiBot.ai records and maintains watchlists and provides alerts for users. When securities enter or exit a saved screening criterion, the system sends alerts keeping users updated, thus aiding real-time investment decision-making.
QuantiBot.ai has ETF analysis capabilities as part of its suite of quantitative analysis tools. You can analyze a wide range of ETFs in terms of fundamentals, performance, and valuation. The process is streamlined, user-friendly, and can be performed with plain-language interaction.
QuantiBot.ai assists in risk analysis by examining an expansive range of stocks and ETFs. The platform provides evaluations on performance, valuation, and risk for these entities, giving users a proficient understanding of the associated risks and rewards. This includes analysis of volatility and risk-adjusted returns.
Yes, QuantiBot.ai can be used for technical strategy backtesting. Users can define technical strategy rules in a language that they understand and can run these strategies across historical market data. This is accomplished without the need to use even a single line of code.
Strategy saving in QuantiBot.ai refers to the capability of the platform to record and conserve the configurations and parameters of your investment strategies. This functionality allows users to reuse their strategies at any time swiftly, enhancing their efficiency in managing their portfolio.
QuantiBot.ai can facilitate factor concentration assessments. Its platform features the ability for users to measure the co-movement of holdings and assess the factor concentration in their portfolio. Understanding this concentration can provide insights into the diversification and potential risk exposures of the holdings.
QuantiBot.ai is highly accessible even for beginners. The platform's primary focus is on usability, making complex quantitative research tools within reach of a wider range of investors. There is no prerequisite for an advanced finance background or coding skills, facilitating engagement with financial data through plain language.
The human-readable language feature allows users to define and explore strategy rules in a language they understand easily. This means you can formulate strategies, backtest them, and liken their historical performance and risk characteristics without needing to code or understand financial jargon.
QuantiBot.ai has a feature that allows you to test your portfolio against historical market crises. By simulating your portfolio's performance during past market downturns, you can gain insights into the resilience and preparedness of your portfolio for potential future market adversities.
Pricing
Pricing model
Free Trial
Paid options from
$49.99/month
Billing frequency
Monthly
