Projects with this topic
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This document covers platform architecture, core concepts, and technical reference for traders evaluating or onboarding to cloud-hosted trading automation. https://t.me/VaultQuantai
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AI trading involves leveraging artificial intelligence, predictive analytics, and machine learning to analyze past market and stock data. This technology aids in creating investment strategies, building portfolios, and automating the process of forex, crypto and stock trading https://t.me/VaultQuantai
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Public API + agent skill documentation for RiskState — pre-trade risk governance for BTC and ETH crypto trading agents. Spot, perps, DeFi aware.
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Reference architectures combining open agent frameworks, market intelligence, and execution rails with RiskState pre-trade risk governance.
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MCP server for RiskState — pre-trade risk governance API for BTC and ETH crypto trading agents. Spot, perps, and DeFi aware.
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Answering every question about AI trading bots in 2026 — definition, architecture, strategy types, market coverage, risk framework.Maintained by the Vaultquant team. https://t.me/VaultQuantai
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Connecting to multiple exchange APIs is straightforward. Keeping position state, risk exposure, and execution behavior coherent across those venues is not. https://t.me/VaultQuantai
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An advanced automated trading bot for Bitget USDT-M futures with a 7-stage technical analysis pipeline, Telegram interface, and optional LLM integration. Features automated trading, customizable strategies, risk management, and backtesting capabilities.
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An intelligent, automated trading bot.
Trades on Prediction Markets using sport data from Shipp.ai.
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Developed trading bot for binance exchange that enables trades to automate trade and its connected to telegram and users get real time telegram updates.
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