633b033f4d
- Infra: Freqtrade (futures dry-run) + Redis + dashboard + Docker Compose - Couche IA: ai_analyzer (Claude via abonnement, MCP TradingView, backfill biais) - Stratégies: SampleStrategy, AiBiasStrategy, IchimokuLS (long/short, validée train/test + données vierges + walk-forward), MTFIchimoku, variantes hyperopt - Arbitrage CEX (dry-run), backtesting, walk-forward, volatility targeting - IchimokuLS en dry-run live (config_live.json) Claude-Session: https://claude.ai/code/session_01VHETcFacdnDhQzthLpdYFR
93 lines
2.9 KiB
YAML
93 lines
2.9 KiB
YAML
# MidasBot — orchestration des services.
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# Phase 1-2 : freqtrade + redis. ai-analyzer / dashboard ajoutés aux phases 3 et 5.
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services:
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freqtrade:
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build: ./freqtrade # image officielle + client redis (cf. freqtrade/Dockerfile)
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image: midas-freqtrade:latest
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container_name: midas-freqtrade
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restart: unless-stopped
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depends_on:
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- redis
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volumes:
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- "./freqtrade/user_data:/freqtrade/user_data"
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ports:
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- "127.0.0.1:8080:8080" # FreqUI / API server — exposé en local uniquement
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env_file:
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- .env
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# Dry-run par défaut. La stratégie est passée en argument ; on démarre sur SampleStrategy
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# (Phase 1) puis AiBiasStrategy (Phase 3).
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command: >
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trade
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--logfile /freqtrade/user_data/logs/freqtrade.log
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--db-url sqlite:////freqtrade/user_data/tradesv3.ichimoku.sqlite
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--config /freqtrade/user_data/config_live.json
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--strategy IchimokuLS
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# Service IA — nécessite CLAUDE_CODE_OAUTH_TOKEN dans .env (claude setup-token).
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# Démarrage explicite : docker compose --profile ai up -d ai-analyzer
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ai-analyzer:
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build:
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context: .
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dockerfile: ai_analyzer/Dockerfile
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image: midas-ai-analyzer:latest
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container_name: midas-ai-analyzer
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restart: unless-stopped
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profiles: ["ai"]
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depends_on:
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- redis
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env_file:
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- .env
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environment:
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REDIS_URL: redis://redis:6379/0
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ANALYZER_PAIRS: "BTC/USDT,ETH/USDT,SOL/USDT,BNB/USDT"
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ANALYZER_TIMEFRAME: "1h"
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ANALYZER_INTERVAL_S: "3600"
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ANALYZER_MODEL: "claude-sonnet-4-6"
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# Décommenter pour activer le MCP TradingView (voir .mcp.json) :
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# ANALYZER_MCP_CONFIG: "/app/.mcp.json"
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# ANALYZER_ALLOWED_TOOLS: "mcp__tradingview"
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# Scanner d'arbitrage inter-CEX (dry-run). Démarrage : docker compose --profile arb up -d arbitrage
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arbitrage:
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build:
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context: .
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dockerfile: arbitrage/Dockerfile
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image: midas-arbitrage:latest
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container_name: midas-arbitrage
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restart: unless-stopped
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profiles: ["arb"]
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environment:
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ARB_EXCHANGES: "binance,kraken"
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ARB_PAIRS: "BTC/USDT,ETH/USDT"
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ARB_MIN_SPREAD_PCT: "0.2"
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ARB_INTERVAL_S: "30"
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# Dashboard « Insights IA » (FastAPI) — lit les biais dans Redis.
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dashboard:
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build:
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context: .
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dockerfile: dashboard/Dockerfile
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image: midas-dashboard:latest
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container_name: midas-dashboard
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restart: unless-stopped
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depends_on:
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- redis
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ports:
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- "127.0.0.1:8500:8500"
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environment:
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REDIS_URL: redis://redis:6379/0
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FREQUI_URL: http://127.0.0.1:8080 # ouvert dans le navigateur de l'hôte
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redis:
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image: redis:7-alpine
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container_name: midas-redis
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restart: unless-stopped
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command: ["redis-server", "--save", "60", "1", "--appendonly", "no"]
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ports:
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- "127.0.0.1:6380:6379" # hôte:6380 (6379 déjà pris) ; les conteneurs utilisent redis:6379
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volumes:
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- redis-data:/data
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volumes:
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redis-data:
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