Projects with this topic
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LLM-assisted BTC/ETH perpetual-futures trading framework on OKX
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Vibe-Trading data loader for Polymarket tennis markets: event-market price series (public Gamma API, keyless) with optional Live Tennis API live-state enrichment (score, server, break point, retirement). Vibe-code a tennis trading research loop. Observe-only, MIT.
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Live-tennis match-state gate for Simmer/Polymarket tennis markets — modeled on simmer-sdk's regime_gate_skill.py. Observe-only: gates/sizes entries on live score, serving, break-point and retirement state from the Live Tennis API (FREE tier). MIT.
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Polymarket tennis trading toolkit (Python, MIT, observe-only): discover tennis markets on the Gamma API, match them to live tennis matches, watch market price vs live score, server and break point. The data layer for a Polymarket or Kalshi tennis trading bot.
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Tennis trading bot starter kit (python): trade the break-point window off the Live Tennis API real-time WebSocket feed — the live-state half of a Polymarket/Kalshi tennis bot. Paper orders only; the real-execution seam is yours to implement.
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Tennis trading bot starter kit (node): trade the break-point window off the Live Tennis API real-time WebSocket feed — the live-state half of a Polymarket/Kalshi tennis bot. Paper orders only; the real-execution seam is yours to implement.
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Tennis trading bot starter kit (go): trade the break-point window off the Live Tennis API real-time WebSocket feed — the live-state half of a Polymarket/Kalshi tennis bot. Paper orders only; the real-execution seam is yours to implement.
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Typed client (TS + Python) for the RiskState Trading Playbook Engine — a registry of locked crypto setups & which fire now for BTC/USD & ETH/USD, gated by structure + risk. Public, no key. The strategist engine.
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Typed client (TS + Python) for the RiskState Market Structure Engine — structural events, structural map & a governed playbook for BTC/USD & ETH/USD. The navigator engine.
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Minimal event-driven trading-bot skeleton in pure Python — strategy, risk manager, and broker as pluggable components.
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Python-based algorithmic trading system for NIFTY 50 options, featuring automated signal generation, risk management, backtesting, position management, and broker API execution.
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Open-source self-hosted Binance Spot bot: DCA ladder, averaged take-profit, hybrid micro-scalp, Docker-first.
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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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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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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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