Runbot Launches AI Agent Optimiser for Simplified Trading Bot Creation

Runbot has introduced the AI Agent Optimiser, a conversational AI tool designed to revolutionize the creation of trading bots. This new feature transforms the complex process of strategy optimization into a simple, user-friendly conversation, eliminating the need for technical expertise or coding skills. Users can now engage in a natural language dialogue with the AI to achieve more effective trading strategies.

The AI Agent Optimiser addresses several key challenges in bot creation and optimization. Traditionally, improving a bot's performance required extensive time, expertise, and intuition. The AI Agent Optimiser streamlines this process by automatically analyzing strategies and suggesting precise adjustments to enhance performance. This makes the creation of high-performance, monetizable bots accessible to users of all skill levels, enabling them to develop effective strategies in just a few minutes.

Runbot is a comprehensive no-code platform dedicated to the creation, testing, and monetization of crypto trading bots. The platform offers a range of powerful and intuitive tools, including the Composer for building bots with simple rules, the Optimizer for manual adjustments, and the AI Agent for automated strategy optimization. Execution is handled via secure, non-custodial webhooks, and users can generate passive income by monetizing their bots on the integrated marketplace. The platform aims to democratize algorithmic trading by combining AI, blockchain, and an intuitive interface.

The AI Agent Optimiser works by engaging users in a conversational interface. After creating and backtesting a strategy, users can activate the AI Agent from the editor. The user explains their objectives, such as reducing drawdown or improving profitability. The AI then analyzes the strategy, reviews indicators, triggers, timeframes, and leverage levels, and proposes precise modifications. The user validates the suggestions, and a new backtest is automatically launched to display the results. This interaction requires no technical knowledge and can be completed in a few minutes.

To illustrate the effectiveness of the AI Agent Optimiser, a detailed example is provided. A user starts by configuring a basic trading bot using the no-code interface, choosing an EMA indicator with a period of 100 and a timeframe of 4 hours. They then define entry and exit rules based on EMA crossovers, set a leverage of x3, and choose a long-only position type. After running a free backtest, the user activates the AI Agent Optimiser to optimize the strategy. The AI suggests modifications such as reducing the EMA period, adding a second indicator like RSI or Bollinger Bands, and implementing a stop loss and take profit. The optimized strategy is then tested, showing significant improvements in drawdown, gain/loss ratio, and overall performance.

The AI Agent Optimiser is a game-changer in the world of algorithmic trading. It not only assists users but fundamentally transforms the process of creating and optimizing bots. By reducing the time required for strategy adjustment and eliminating the need for technical expertise, the AI Agent Optimiser redefines the efficiency of the creation process. It also enhances accessibility, allowing users to express their objectives in natural language and receive suitable settings from the AI. In terms of performance, the AI relies on historical data analysis to identify the most effective combinations, rigorously adjusting parameters to improve results while limiting risks. This tool enables greater scalability, allowing users to create multiple quality bots for the marketplace and access new sources of income.

Every strategy created on Runbot is automatically turned into an NFT, which can be sold or rented on the integrated marketplace. The AI Agent plays a crucial role in helping creators reach a quality level that makes their bots competitive and attractive. This intelligent support transforms bot creation into a full-fledged economic model, accessible to a wide audience. Users can now consider a real business around strategy design, with potential regular income.

Despite the powerful assistance provided by the AI Agent, fundamental rules of algorithmic trading must remain at the core of the approach. A backtest, no matter how successful, never guarantees future performance. Market conditions evolve, and a strategy that was effective yesterday can become obsolete tomorrow. It is also important to avoid over-optimization, as adjusting parameters too finely can produce a fragile strategy poorly adapted to real market fluctuations. Diversifying bots and applying strict money management rules are essential to strengthen the resilience of the entire portfolio. Artificial intelligence assists, but it is always the trader who retains control over their decisions.

With the AI Agent Optimiser, Runbot takes a significant step in democratizing algorithmic trading. Creating, testing, and improving bots becomes simple, fast, and accessible to everyone. This innovation opens up new possibilities for users to engage in algorithmic trading, regardless of their technical background or expertise.