Best AI tools for< Trade Nfts >

BlockBot is an AI bot ecosystem that allows users to create, trade, and monetize AI chatbots on-chain. It empowers users with access to a variety of AI bots and functionalities tailored to different needs and use cases. The platform leverages blockchain technology to provide a secure, fast, and cost-effective way to experience the power of AI technology.

Trade Ideas is an AI-driven stock scanning and charting platform designed to meet the needs of active traders. It provides powerful tools such as real-time market scanning, AI-driven trade signals, customizable alerts, advanced charting capabilities, and time-saving data visualization. Trade Ideas offers users the confidence to make smarter trading decisions and the freedom to conquer markets anytime, anywhere. The platform also includes features like a trading simulator for practicing new strategies, Picture in Picture charts for visualizing multiple timeframes, and integration with leading brokers and trading platforms.

Trade Ideas is an AI-driven stock scanning and charting platform that provides unmatched precision in finding the biggest movers first. It offers AI-powered Buy/Sell signals, real-time market scanning, customizable alerts, advanced charting capabilities, and time-saving data visualization. Users can access the platform on any device, empowering them to make smarter trading decisions and stay ahead of the game. Trade Ideas also features a live trading room with expert market commentary and a simulator for practicing new trading strategies under actual market conditions. The platform is trusted by leading brokers and trading platforms, offering users a competitive edge in the market.

Trade Foresight is a data and AI-driven platform that helps businesses expand and grow their operations globally. It provides users with access to a global trade database, market intelligence, and AI-powered tools to identify opportunities, connect with partners, and facilitate trade transactions. With Trade Foresight, businesses can gain insights into global trade trends, regulations, and opportunities, and make informed decisions to optimize their international expansion strategies.

Composer is an AI-powered platform designed for investing, offering users the ability to build trading algorithms with AI, backtest them, and execute trades all in one place. The platform does not require coding skills and provides a user-friendly experience for creating and managing investment strategies. Composer aims to make sophisticated quant investing accessible to all users, regardless of their level of expertise.

Potato is an AI-powered platform that allows users to generate stock portfolios and build their own ETF ideas. The platform is designed to help users create investment strategies using artificial intelligence. Users can describe their investment themes or events, and the AI technology behind Potato will generate fantasy ETFs based on the input. The platform is powered by Telescope, an API service for brokers, funds, and fintechs.

QnA3 is an AI-driven Web3 knowledge engine that provides real-time insights and analysis on the cryptocurrency market. It uses natural language processing and machine learning to extract insights from a variety of sources, including news articles, social media, and market data. QnA3 can be used to track the performance of individual cryptocurrencies, identify trends, and make informed trading decisions.

StockHero is a highly-rated stock trading bot that allows users to trade intelligently with a high win rate. The platform offers preset bots from the Marketplace for users to deploy in minutes, automating trades on leading brokerages. StockHero caters to users of all levels, from beginners to experienced traders, providing features like TradingView integration, Strategy Designer, and advanced indicator settings. The platform also offers a White-Glove Service for personalized guidance, paper trading for risk-free practice, and an AI ChatBot for financial queries. With a focus on risk management and user satisfaction, StockHero aims to enhance the trading experience for all users.

DipSway is an AI-powered crypto trading platform that offers zero-configuration, full autopilot trading bots. The platform uses proprietary AI models trained to recognize market opportunities by analyzing technical indicators and pattern detectors. DipSway allows users to connect to their exchange, turn on autopilot, and start trading without the need for manual intervention. With features like live backtests, historical performance data, and extendable configurations via TradingView, DipSway aims to simplify and optimize crypto trading for users of all experience levels.

CryptoMatic Bot is an automated algorithmic trading platform that leverages machine learning and artificial intelligence to help users trade cryptocurrencies more effectively. The platform offers a range of features including ready-made trading strategies, webhook integration with TradingView, a powerful trader panel, and the ability to customize settings. Users can start auto trading with ease, receive notifications on transactions, and grow their assets continuously. The platform aims to provide a stress-free trading experience and offers support to users through a dedicated team. CryptoMatic Bot is designed to assist users in making informed trading decisions and maximizing their profits in the volatile cryptocurrency market.

Imperative Execution is the parent company of IntelligentCross, a platform that uses artificial intelligence (AI) to optimize trading performance in the US equities market. The platform's matching logic enhances market efficiency by optimizing price discovery and minimizing market impact. IntelligentCross is built with high-performance, massively parallel transaction processing that fully utilizes modern multi-core servers.

Bhavv is India's first and most powerful AI platform for Nifty and Bank Nifty Options buying. The platform offers automated trade management, personalized risk management, integrated stop loss, and a user-friendly interface. Bhavv's AI algorithms continuously analyze market data to create and manage a diversified trading portfolio tailored to individual goals and risk tolerance. The platform aims to revolutionize trading by simplifying the process and making it more accessible and enjoyable for traders.

TechTalks is a website that covers the latest trends in technology, how they affect our lives and businesses, and the problems they solve. It also discusses the potential downsides of new technologies and what we need to be aware of. The site's goal is to help readers make the most of the benefits of new technologies while minimizing the risks.

Tradytics is a platform that bridges the gap between Wall Street and Retail Traders by simplifying complex trading data, making it accessible and actionable for every trader. The platform offers a comprehensive toolkit for all types of traders, providing data that only Wall Street professionals have access to. Tradytics combines news for every stock and summarizes them with AI to keep traders up to date. With a focus on transparency and expertise in AI, Tradytics aims to become a one-stop shop for retail traders.

Tickeron is an AI trading platform that offers a variety of tools and features to enhance trading in the stock market. It provides AI predictions for stocks, ETFs, forex, and other assets, empowering users with accurate stock predictions and trend insights. The platform includes AI robots for virtual accounts, trend predictions, pattern search engines, and real-time patterns. Additionally, Tickeron offers tools for traders and investors, such as stock portfolio wizards, active portfolios, model portfolios, and 401(k) portfolios. Users can also explore the marketplace for trading and investing tools, join trader and investor clubs, and access educational resources to improve their trading skills.

Streetbeat is an innovative investment platform that simplifies and automates investing activities. It serves as a solution for navigating the complexity of financial markets and deriving actionable insights. Streetbeat offers AI Agents for businesses to automate tasks and enhance client services, while individuals can access an AI-powered financial advisor to manage investments. The platform aims to make investing more accessible and efficient for users.

SubstrateAI is an artificial intelligence company that creates, acquires, and scales businesses in various sectors such as Health, Finance, Human Resources, and Energy. They develop products and services based on proprietary technology and are listed on stock exchanges in Spain, the UK, and the US. SubstrateAI collaborates with Subgen AI, a subsidiary providing AI solutions to companies and governments globally. The company's technology is inspired by biology and continuously evolves through the daily efforts of researchers.

Custobots is an AI-powered application that revolutionizes digital commerce by acting as autonomous agents for human consumers or businesses in online marketplaces. These intelligent software entities make purchasing decisions, negotiate prices, and complete transactions on behalf of users. Custobots possess advanced decision-making capabilities, analyze market conditions, compare prices, negotiate with sellers, and adapt from past experiences to improve future performance. They offer a cutting-edge approach to e-commerce, leveraging technologies like Natural Language Processing, Machine Learning, Blockchain, and API integrations to navigate online marketplaces autonomously.

MapZot.AI is an advanced retail site selection and market analysis AI tool that leverages big data and unique algorithms to provide real-time insights for businesses. It monitors local and national chains, predicts their next locations with high confidence, and offers decision analytics to pinpoint the best real estate locations for various industries. With features like internal data utilization, store cannibalization models, and over 90% confidence in decision-making, MapZot.AI is a powerful platform for site selection and market planning.

Capital Companion is an AI-powered trading and investing platform designed to provide users with a competitive edge in the markets. The platform offers a range of features including 24/7 AI assistant support, intelligent trading recommendations, risk analysis tools, real-time stock analytics, market sentiment analysis, and pattern recognition for technical analysis. By leveraging artificial intelligence, Capital Companion aims to help traders make well-informed decisions and protect their investments in a dynamic market environment.

Awesome Algorand is a curated list of resources related to the Algorand Blockchain, including official resources, wallets, blockchain explorers, portfolio trackers, learning resources, development tools, DeFi platforms, nodes & consensus participation, subscription management, security auditing services, blockchain bridges, oracles, name services, community resources, Algorand Request for Comments, metrics and analytics services, decentralized voting tools, and NFT marketplaces. The repository provides a comprehensive collection of tools, tutorials, protocols, and platforms for developers, users, and enthusiasts interested in the Algorand ecosystem.

Lobe Chat Plugins Index is a repository that serves as a collection of various plugins for Function Calling. Users can submit their plugins by following specific instructions. The repository includes a wide range of plugins for different tasks such as image generation, stock analysis, web search, NFT tracking, calendar management, and more. Each plugin is tagged with relevant keywords for easy identification and usage. The repository encourages contributions and provides guidelines for submitting new plugins. It is a valuable resource for developers looking to enhance chatbot functionalities with different plugins.

The ai_quant_trade repository is a comprehensive platform for stock AI trading, offering learning, simulation, and live trading capabilities. It includes features such as factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, and high-frequency trading. The repository provides tools for monitoring stocks, stock recommendations, and deployment tools for live trading. It also features new functionalities like sentiment analysis using StructBERT, reinforcement learning for multi-stock trading with a 53% annual return, automatic factor mining with 5000 factors, customized stock monitoring software, and local deep reinforcement learning strategies.

Solana AI Trade Bot is an advanced trading tool specifically designed for meme token trading on the Solana blockchain. It leverages AI technology powered by GPT-4.0 to automate trades, identify low-risk/high-potential tokens, and assist in token creation and management. The bot offers cross-platform compatibility and a range of configurable settings for buying, selling, and filtering tokens. Users can benefit from real-time AI support and enhance their trading experience with features like automatic selling, slippage management, and profit/loss calculations. To optimize performance, it is recommended to connect the bot to a private light node for efficient trading execution.

Polymarket Agents is a developer framework and set of utilities for building AI agents to trade autonomously on Polymarket. It integrates with Polymarket API, provides AI agent utilities for prediction markets, supports local and remote RAG, sources data from various services, and offers comprehensive LLM tools for prompt engineering. The architecture features modular components like APIs and scripts for managing local environments, server set-up, and CLI for end-user commands.

This repository contains a collection of research papers related to watermarking techniques for text and images, specifically focusing on large language models (LLMs). The papers cover various aspects of watermarking LLM-generated content, including robustness, statistical understanding, topic-based watermarks, quality-detection trade-offs, dual watermarks, watermark collision, and more. Researchers have explored different methods and frameworks for watermarking LLMs to protect intellectual property, detect machine-generated text, improve generation quality, and evaluate watermarking techniques. The repository serves as a valuable resource for those interested in the field of watermarking for LLMs.

Wingman AI allows you to use your voice to talk to various AI providers and LLMs, process your conversations, and ultimately trigger actions such as pressing buttons or reading answers. Our _Wingmen_ are like characters and your interface to this world, and you can easily control their behavior and characteristics, even if you're not a developer. AI is complex and it scares people. It's also **not just ChatGPT**. We want to make it as easy as possible for you to get started. That's what _Wingman AI_ is all about. It's a **framework** that allows you to build your own Wingmen and use them in your games and programs. The idea is simple, but the possibilities are endless. For example, you could: * **Role play** with an AI while playing for more immersion. Have air traffic control (ATC) in _Star Citizen_ or _Flight Simulator_. Talk to Shadowheart in Baldur's Gate 3 and have her respond in her own (cloned) voice. * Get live data such as trade information, build guides, or wiki content and have it read to you in-game by a _character_ and voice you control. * Execute keystrokes in games/applications and create complex macros. Trigger them in natural conversations with **no need for exact phrases.** The AI understands the context of your dialog and is quite _smart_ in recognizing your intent. Say _"It's raining! I can't see a thing!"_ and have it trigger a command you simply named _WipeVisors_. * Automate tasks on your computer * improve accessibility * ... and much more

OpenVINO™ Model Server (OVMS) is a high-performance system for serving models. Implemented in C++ for scalability and optimized for deployment on Intel architectures, the model server uses the same architecture and API as TensorFlow Serving and KServe while applying OpenVINO for inference execution. Inference service is provided via gRPC or REST API, making deploying new algorithms and AI experiments easy.

Qbot is an AI-oriented automated quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It provides a full closed-loop process from data acquisition, strategy development, backtesting, simulation trading to live trading. The platform emphasizes AI strategies such as machine learning, reinforcement learning, and deep learning, combined with multi-factor models to enhance returns. Users with some Python knowledge and trading experience can easily utilize the platform to address trading pain points and gaps in the market.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.

AData is a free and open-source A-share database that focuses on transaction-related data. It provides comprehensive data on stocks, including basic information, market data, and sentiment analysis. AData is designed to be easy to use and integrate with other applications, making it a valuable tool for quantitative trading and AI training.

This repository provides a comprehensive collection of resources, open-source tools, and knowledge related to quantitative analysis. It serves as a valuable knowledge base and navigation guide for individuals interested in various aspects of quantitative investing, including platforms, programming languages, mathematical foundations, machine learning, deep learning, and practical applications. The repository is well-structured and organized, with clear sections covering different topics. It includes resources on system platforms, programming codes, mathematical foundations, algorithm principles, machine learning, deep learning, reinforcement learning, graph networks, model deployment, and practical applications. Additionally, there are dedicated sections on quantitative trading and investment, as well as large models. The repository is actively maintained and updated, ensuring that users have access to the latest information and resources.

Awesome LLM compression research papers and tools to accelerate LLM training and inference.

Colors AI is a cross-platform color scheme generator that uses deep learning from public API providers. It is available for all mainstream operating systems, including mobile. Features: - Choose from open APIs, with the ability to set up custom settings - Export section with many export formats to save or clipboard copy - URL providers to other static color generators - Localized to several languages - Dark and light theme - Material Design 3 - Data encryption - Accessibility - And much more

Fairseq is a sequence modeling toolkit that enables researchers and developers to train custom models for translation, summarization, language modeling, and other text generation tasks. It provides reference implementations of various sequence modeling papers covering CNN, LSTM networks, Transformer networks, LightConv, DynamicConv models, Non-autoregressive Transformers, Finetuning, and more. The toolkit supports multi-GPU training, fast generation on CPU and GPU, mixed precision training, extensibility, flexible configuration based on Hydra, and full parameter and optimizer state sharding. Pre-trained models are available for translation and language modeling with a torch.hub interface. Fairseq also offers pre-trained models and examples for tasks like XLS-R, cross-lingual retrieval, wav2vec 2.0, unsupervised quality estimation, and more.

FigStep is a black-box jailbreaking algorithm against large vision-language models (VLMs). It feeds harmful instructions through the image channel and uses benign text prompts to induce VLMs to output contents that violate common AI safety policies. The tool highlights the vulnerability of VLMs to jailbreaking attacks, emphasizing the need for safety alignments between visual and textual modalities.

Fairlearn is a Python package designed to help developers assess and mitigate fairness issues in artificial intelligence (AI) systems. It provides mitigation algorithms and metrics for model assessment. Fairlearn focuses on two types of harms: allocation harms and quality-of-service harms. The package follows the group fairness approach, aiming to identify groups at risk of experiencing harms and ensuring comparable behavior across these groups. Fairlearn consists of metrics for assessing model impacts and algorithms for mitigating unfairness in various AI tasks under different fairness definitions.

The 'Model-References' repository contains examples for training and inference using Intel Gaudi AI Accelerator. It includes models for computer vision, natural language processing, audio, generative models, MLPerf™ training, and MLPerf™ inference. The repository provides performance data and model validation information for various frameworks like PyTorch. Users can find examples of popular models like ResNet, BERT, and Stable Diffusion optimized for Intel Gaudi AI accelerator.

rwkv.cpp is a port of BlinkDL/RWKV-LM to ggerganov/ggml, supporting FP32, FP16, and quantized INT4, INT5, and INT8 inference. It focuses on CPU but also supports cuBLAS. The project provides a C library rwkv.h and a Python wrapper. RWKV is a large language model architecture with models like RWKV v5 and v6. It requires only state from the previous step for calculations, making it CPU-friendly on large context lengths. Users are advised to test all available formats for perplexity and latency on a representative dataset before serious use.

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