Python Algo Trading Bot — Brokerage API + WebSocket + Claude AI Decision Layer (US / NSE / Forex)

I'm building an autonomous AI trading agent that makes decisive investment decisions across US equities, Indian markets (NSE/BSE), and Forex. The bot uses Claude Sonnet 4.6 (Anthropic's API) as its reasoning and decision engine — not as a chatbot, but as a structured market analyst that returns BUY / SELL / HOLD decisions with justification.

I am NOT looking for a general AI/LLM developer. I need someone who understands markets AND can build production-grade Python trading infrastructure.

───────────────────────────────────────

WHAT I NEED YOU TO BUILD

───────────────────────────────────────

1. DUAL TRIGGER ARCHITECTURE

• APScheduler (AsyncIOScheduler): market open/close hooks, 15–30 min periodic scans, EOD summary

• WebSocket streams (asyncio): event-driven triggers on price move %, volume spikes, stop-loss/take-profit hits

• Both running simultaneously in a single asyncio event loop

• Per-symbol cooldown timer to rate-limit Claude API calls

2. MULTI-MARKET SESSION MANAGER

• NSE/BSE: 11:45 PM – 6:00 AM ET (via Zerodha Kite API or equivalent)

• London (LSE): 3:00 AM – 11:30 AM ET

• US markets: 9:30 AM – 4:00 PM ET (Alpaca API)

• Forex: 24/5 continuous (OANDA or Alpaca Forex)

• Weekday-only execution with proper market calendar awareness

3. BROKERAGE EXECUTION LAYER

• Alpaca Markets API: US equities + options

• Zerodha Kite or Angel Broking API: NSE/BSE

• Order types: market, limit, bracket (with built-in stop-loss + take-profit)

• Position sizing logic based on portfolio % risk per trade

• Max drawdown kill switch — bot pauses if daily loss exceeds threshold

4. REAL-TIME MARKET DATA

• Alpaca WebSocket: live bars, quotes, trade events for US

• Polygon.io or equivalent: backup data feed

• NSE feed via broker API

• News/sentiment feed (optional): lightweight RSS or Alpaca news stream

5. RISK MANAGEMENT MODULE

• Per-trade risk: configurable % of portfolio (default 1–2%)

• Daily loss limit: hard stop at X% drawdown

• Max open positions: configurable cap

• No pyramiding without explicit Claude confirmation

6. STATE + LOGGING

• Redis: live session state, symbol cooldowns, open position cache

• SQLite or Postgres: full trade log (entry, exit, P&L, Claude reasoning stored)

• Structured JSON logs per session

7. BACKTESTING FRAMEWORK

• At minimum: vectorized backtest on 6+ months of historical data

• Strategy: momentum + mean-reversion hybrid (I will define the logic, you implement the framework)

• Output: Sharpe ratio, max drawdown, win rate, expectancy

───────────────────────────────────────

TECH STACK (NON-NEGOTIABLE)

───────────────────────────────────────

• Python 3.11+

• asyncio + APScheduler (AsyncIOScheduler)

• Alpaca-py SDK (WebSocket + REST)

• Zerodha Kite Connect (or Angel Broking SmartAPI) for India

• Redis (via redis-py)

• SQLite or Postgres

• Docker (containerized deployment on VPS)

• Anthropic Python SDK (claude-sonnet-4-6 model)

NO: LangChain, n8n, AutoGen, CrewAI, no-code tools, or MetaTrader.

───────────────────────────────────────

MUST-HAVES (HARD REQUIREMENTS)

───────────────────────────────────────

✅ You have shipped at least one LIVE algorithmic trading bot connected to a real brokerage (show me)

✅ You understand position sizing, risk-reward ratios, and drawdown management — not just coding

✅ You know asyncio deeply — this is not a synchronous script

✅ Clean, modular, well-commented code — I will maintain and extend this myself

✅ Full code ownership transfers to me — no black boxes, no encrypted modules

✅ You can explain your architecture decisions in plain English

───────────────────────────────────────

NOT WHAT I NEED

───────────────────────────────────────

✗ ChatGPT / RAG chatbot specialists with no trading background

✗ Anyone whose portfolio is only CRM bots, lead gen, or voice agents

✗ MetaTrader EA developers without Python experience

✗ Anyone proposing LangChain or agent frameworks as the core

✗ Copy-paste bots from GitHub — I need custom architecture

───────────────────────────────────────

TO APPLY

───────────────────────────────────────

Start your proposal with the phrase: DUAL TRIGGER

Then answer these three questions:

1. Name one live trading bot you've shipped — what brokerage, what strategy, what language?

2. How would you handle a situation where the WebSocket drops mid-session?

3. What's your approach to preventing the Claude API from being called on every price tick?

Proposals that don't answer all three will not be read.

Apply Now

Apply Now