Trading Platform v2 — Binance Intelligence & Execution

Binance-only trading intelligence and execution platform with Claude connected through MCP. Production-grade Python monorepo.

Architecture

Claude (reasoning layer)
    │  MCP bounded tool interface
    ▼
mcp-server ─────────────────────────────────────────────────
                                                            │
gateway-api (REST + WebSocket, web/mobile clients)          │
    │                                                       │
    ▼                                                       ▼
strategy-service ──► execution (paper / live orders)
    │                      │
    │               private user stream
    ▼                      │
analytics ◄────────────────┘
    │
    ▼
normalizer
    │
    ▼
binance-ingest (WebSocket streams + REST polling)
    │
    ▼
Redis Streams + Redis hot state
    │
    ▼
Postgres (persistent history + all business records)

Services

Service	Port	Purpose
gateway-api	8000	REST + WebSocket API
binance-ingest	8001	Raw stream ingest
normalizer	8002	Payload normalization + hot state
analytics	8003	Derived metrics + decision snapshots
strategy-service	8004	Strategy CRUD, eval, intents
execution	8005	Risk validation + order routing
mcp-server	8006	Claude MCP tool interface

Phase Status

Phase	Description	Status
1	Shared foundation (schemas, Redis, DB, utils, infra)	✅ Complete
2	Binance ingest (all stream types + private user stream)	🔲 Next
3	Normalizer (all event types + hot state)	🔲
4	Analytics (10 engines + decision snapshot builder)	🔲
5	Strategy service (CRUD, versioning, eval, simulation)	🔲
6	Execution — paper mode (validation + risk engine)	🔲
7	Execution — live (Binance orders + fill reconciliation)	🔲
8	MCP server (25 bounded tools + OAuth + audit)	🔲
9	Gateway API (all REST + WebSocket routes)	🔲
10	Hardening (tests, observability, incident workflows)	🔲

Quick Start (local dev)

Prerequisites

• Python 3.12
• Docker + Docker Compose

1. Install shared package

cd C:\Users\ahsan\trading-platform-v2
pip install -e .

2. Copy and configure env

Copy-Item .env.example .env
# Edit .env with your Binance keys and secrets

3. Start infrastructure

docker compose -f infra/docker-compose.yml up postgres redis -d

4. Run migrations

$env:PYTHONPATH = "C:\Users\ahsan\trading-platform-v2"
alembic -c migrations/alembic.ini upgrade head

5. Start a service (example: gateway-api)

$env:PYTHONPATH = "C:\Users\ahsan\trading-platform-v2"
python -m uvicorn services.gateway_api.main:app --host 0.0.0.0 --port 8000 --reload

6. Run tests

$env:PYTHONPATH = "C:\Users\ahsan\trading-platform-v2"
python -m pytest tests/unit/ -v

Key Design Principles

1. Claude is the controller — never the direct execution layer
2. Strategy ≠ Execution — TradeIntent objects cross the boundary, never raw orders
3. Execution is the only Binance caller — no other service may place orders
4. Private user streams are truth — fills, balances, positions come from there
5. Raw ≠ Derived — never mixed in the same API field
6. MCP is bounded — approval levels and symbol policies enforced on every tool call
7. Paper = Live pipeline — same validation, different execution path
8. Everything is auditable — audit_log, mcp_tool_calls, execution_events for every action
9. Idempotent jobs — job_id + deterministic client_order_id prevent duplicate execution

Redis Key Domains

All keys are built via shared.redis.keys.RedisKeys — never inline strings.

• market:{type}:{symbol}:* — hot market state
• analytics:{type}:{symbol}:* — derived analytics
• account:{user_id}:* — account state
• risk:{user_id}:* — risk state and limits
• strategy:{id}:* — active strategy state
• approval:{user_id}:level — current approval level
• kill_switch:{account_id} — global kill switch flag
• pause:user:{account_id} — per-user trading pause
• pause:symbol:{account_id}:{symbol} — per-symbol pause
• cooldown:{account_id}:{symbol} — post-loss cooldown
• job:lock:{job_id} — execution job idempotency lock

Redis Streams

• stream:binance:raw — raw Binance payloads
• stream:binance:normalized — canonical NormalizedEvent records
• stream:analytics:derived — analytics engine outputs
• stream:strategy:intents — TradeIntent objects
• stream:execution:events — execution lifecycle events
• stream:mcp:audit — MCP tool call audit trail

Database

28 tables across 5 domains:

• Market: symbols, candles, trade_history, funding_history, oi_history, liquidation_events, wall_events, market_snapshots
• Account: users, exchange_accounts, api_credentials_ref, balances, positions, orders, fills
• Execution: execution_jobs, execution_events, risk_policies, approval_levels
• Strategy: strategies, strategy_versions, strategy_runs, strategy_evaluations, strategy_actions, strategy_rollbacks
• Audit: mcp_sessions, mcp_tool_calls, audit_log, incident_log, account_update_reasons

Approval Levels

Level	Value	Can Do
L0	l0_readonly	Read data only
L1	l1_simulation	Run simulations
L2	l2_paper	Paper trading
L3	l3_assisted_live	Live with confirmation
L4	l4_bounded_auto	Bounded auto-execution