Conviction

Conviction's core value proposition lies in the deep integration of Natural Language Processing (NLP) technology with the quantitative trading workflow. Its functional architecture revolves around a closed loop of "Idea - Verification - Execution."

First, at the Input stage, the platform breaks the dependency on programming skills. Users do not need to write code; they simply describe a trading strategy in natural language (e.g., "Buy when a tech stock's earnings beat expectations and RSI is below 30"), and the AI converts it into executable strategy code.

Second, at the Verification stage, the system integrates massive multi-source data. According to the official site, it pulls from SEC filings, financial news, market data, and social media signals (X, Reddit, Truth Social). Using this data, Conviction allows users to backtest their strategies against historical data to verify performance in past market environments.

Finally, at the Execution stage, the platform offers both "Paper Trading" and "AI Agent Execution" modes. For everyday investors, an AI agent monitors the market and executes trades on their behalf when conditions are met, realizing the vision of a "trading desk in your pocket."

Conviction primarily serves two user groups: retail investors without programming backgrounds but with keen market intuition, and professionals looking to quickly validate trading ideas and reduce trial costs.

For retail investors, the typical scenario involves leveraging social media hot topics. For example, a user sees discussion about a stock on Reddit or X that they believe has upside potential but is unsure about the timing. Conviction allows them to turn this intuition into a strategy and use historical data to test how the strategy would have performed in similar past market conditions.

For professional analysts, the tool serves as a research aid. Analysts can translate complex financial report interpretations or market sentiment analysis into AI-executable instructions, using AI agents for high-frequency micro-adjustments or paper trading tests, significantly shortening the time from research to decision-making.

Conviction's significant advantage is the drastic reduction of the barrier to entry for quantitative trading.

Regarding technical barriers, users do not need proficiency in Python, C++, or quantitative programming. The interface is intuitive, and the interaction logic is clear. Core operations are concentrated on "inputting ideas" and "viewing backtest results," which is similar to using ChatGPT for conversation, resulting in a gentle learning curve.

Regarding cognitive barriers, while the tool reduces programming difficulty, users still need basic financial literacy and trading logic. AI can process data and execute code but cannot replace the user's judgment on market risks. For complete novices, directly using the AI agent may carry risks; therefore, it is recommended to start with "Paper Trading" or "Backtesting" modes to familiarize oneself with the strategy logic.

Based on public information, Conviction has not yet explicitly announced specific subscription prices or membership tiers. The official site primarily showcases product demos and founder backgrounds, without mentioning detailed pricing strategies.

Considering its positioning as a "trading desk" for everyday investors and the integration of advanced features like SEC data, social media scraping, and AI execution, its pricing strategy likely follows a "Free Trial + Premium Subscription" model. For hedge funds or institutional users, custom quotes may be required. Since detailed pricing information is not publicly available, potential users are advised to visit the official website or contact customer service for the latest fee details.

Conviction is an innovative AI-driven investment research tool that successfully encapsulates complex quantitative trading logic within natural language interaction.

Its greatest contribution is solving the problem of "information overload" and "execution lag." By integrating multi-source data and utilizing AI agents for automated monitoring and execution, it provides non-professional investors with a tool that approaches the capabilities of a professional trading desk. Although detailed public information is currently limited, and there are risks associated with relying on historical backtesting, its performance in lowering the threshold for professional trading is commendable. For investors looking to leverage AI for decision support and improve trading efficiency, Conviction offers a highly efficient solution worth trying.