Invalert is an AI-powered trading tool that generates real-time signals/alerts for various financial instruments by analyzing market trends and sentiment. It aims to help actively managed funds become more profitable through data-driven, timely decision-making, leaving guesswork and emotions out of the equation.

Invalert is committed to continuously improving its algorithms and functionality, providing an invaluable resource for traders looking to make data-driven decisions and optimize their trading strategies. The team behind Invalert has put in significant effort to formulate a success rate for each coin and is proud of its high success rate so far. Our machine learning algorithms learn from each signal generated and constantly improved upon their findings

Invalert offers custom white-label solutions, API access, white label output data distribution, and partnership opportunities for enterprises. These services enable businesses to leverage Invalert's powerful tools and data under their own brand, enhance their offerings, and deliver exceptional value to their clients.
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Our proprietary AI-based algorithm leverages TensorFlow, a powerful open-source machine learning framework, along with other prediction libraries to efficiently analyze large, complex amounts of historical trading data and market trends. By utilizing advanced machine learning techniques, such as deep learning and neural networks, our algorithm can identify intricate patterns and correlations within the data that might be difficult for a human analyst to spot.

You can access all historical signals by visiting panel.invalert.com This platform provides you with comprehensive access to the past data, allowing you to analyze the performance of the signals over time. If you're interested in accessing live data or have any further inquiries, feel free to contact the Invalert team for assistance.

Invalert provides Isolated Positions via TakeProfit & StopLoss functionality, allowing fund managers to set predefined profit-taking and loss-cutting levels for each position. This systematic approach helps minimize potential losses and secure profits, ensuring effective risk management in their trading strategies.
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