SMC Trading Bot

Trade like institutions do — without the emotion.

The SMC Trading Bot is a fully autonomous futures trading system that detects Smart Money Concepts (SMC) setups and executes trades automatically via TradeLocker API.

What It Detects

Core Smart Money Concepts:

• Fair Value Gaps (FVG) — Price imbalances left by institutional order flow
• Order Blocks — Zones where smart money placed significant orders
• Liquidity Sweeps — Stop hunts and engineered liquidity grabs
• Break of Structure (BOS/CHoCH) — Trend change confirmation signals

Weighted Scoring System (0-100 Points)

Every setup is scored for quality:

Scoring Breakdown:

• Break of Structure: +30 points (confirms trend direction)
• S/R Confluence: +25 points (key institutional levels)
• Liquidity Sweep: +20 points (stop hunt preceded move)
• Gann Box Zone: +15 points (time/price alignment)
• Killzone Priority: +10 points (session timing edge)

Trade Thresholds:

• A+ (80+ points): Full position (2 contracts)
• A (70-79): Full position (2 contracts)
• B (60-69): Half position (1 contract)
• C (50-59): Minimum position (1 contract)
• Below 50: No trade

Graduated Killzone System

Not all hours are equal. The bot filters by session quality:

AM Killzone — 6:30-9:00 AM MT

• Allowed: A+, A, B, C (all tiers)
• Why: Highest volatility, best setups

Chop Zone — 9:00-11:00 AM MT

• Allowed: A+, A only
• Why: Reduced volatility, quality only

PM Killzone — 11:00 AM-2:00 PM MT

• Allowed: A+ only
• Why: Institutional closing activity

Closed — All other times

• No trading outside windows

Mountain Time (Denver). Bot auto-adjusts for your timezone.

Risk Management (Ironclad)

Hard Rules:

• Risk per trade: 1% of account (single trade loss cap)
• Daily risk limit: 2% of account (drawdown protection)
• Minimum R:R: 1:2 (profit justifies risk)
• Max trades/day: 3 (overtrading prevention)
• Overnight holds: None (gap risk elimination)
• Hard daily stop: -2% P&L (circuit breaker)

Position Sizing:

• A+/A setups: 2 contracts (full confidence)
• B/C setups: 1 contract (reduced exposure)

Deployment Options

Option A: Always-On Machine (Recommended) Mac Mini, Raspberry Pi, old PC, dedicated laptop

• Runs 24/7 during market hours
• No VPS needed, no monthly cost
• Direct control over hardware

Option B: Single VPS Vultr, DigitalOcean, Linode ($5-10/month)

• Scanner + webhook on same server
• Good if you lack always-on hardware

Option C: Hybrid Scanner on shared hosting / local machine, execution on isolated VPS

• Maximum security separation

Option D: Local Only Run on laptop when actively trading

• Manual start/stop each session
• Good for testing, not for automation

Supported Markets

Pre-configured:

• MES — Micro E-mini S&P 500 ($5.00/tick)
• MNQ — Micro E-mini NASDAQ 100 ($2.00/tick)

Easy to add:

• MYM — Micro Dow Jones ($0.50/tick)
• M2K — Micro Russell 2000 ($5.00/tick)
• MGC — Micro Gold ($10.00/tick)
• MCL — Micro Crude Oil ($10.00/tick)
• Any Yahoo Finance futures ticker

System Requirements

Minimum:

• CPU: 1 core (x86_64 or ARM64)
• RAM: 512 MB
• Disk: 2 GB
• OS: Ubuntu 20.04+, macOS 12+, Windows 10+
• Python: 3.10+
• Network: 1 Mbps, 99%+ uptime during market hours

Recommended:

• CPU: 2 cores
• RAM: 1 GB
• Disk: 5 GB (for logs)
• OS: Ubuntu 22.04 LTS
• Python: 3.12
• Network: 5 Mbps, 24/7 uptime

Mac Mini: M1/M2 excellent, Intel 2018+ good, older test first Raspberry Pi: Pi 4 (4GB+) good, Pi 4 (2GB) minimum, older not recommended VPS: $5-6/month sufficient, $12/month overkill but smooth

What's Included

Core Files:

• fvg_scanner.py — Detection engine with weighted scoring
• webhook_server.py — Trade execution server
• cron_scanner.py — Scheduling wrapper
• telegram_relay.py — Notification framework
• SKILL.md — Complete documentation
• SYSTEM_CONFIG.md — Technical specifications

Configuration:

• config/auth.json.template — TradeLocker credentials
• Setup wizard for first-time deployment

What's NOT Included

• TradeLocker account (you need your own)
• VPS/server (unless you choose that option)
• Real-time data feed (uses free Yahoo Finance)
• Telegram bot (optional, you provide token)
• Trading profits (not guaranteed)

Setup Process

Time required: 30-60 minutes first time

1. Install Python dependencies (5 min)
2. Configure TradeLocker credentials (5 min)
3. Set account/risk parameters (5 min)
4. Deploy webhook server (10 min)
5. Configure scanner + cron (10 min)
6. Test with demo account (ongoing)

Your OpenClaw agent guides you through each step.

Safety First

Required before live trading:

1. Run on DEMO account minimum 2 weeks
2. Verify 70%+ win rate at 1:2 R:R
3. Confirm daily loss limits work
4. Test emergency stops

Account recommendations:

• $10,000+ for MES/MNQ (1-2 contracts)
• $25,000+ for larger size (2-4 contracts)
• Never risk more than you can lose

Disclaimer: Past performance ≠ future results. Automated trading carries significant risk. You are responsible for your trading decisions.

Example Trade

2026-03-05 08:45:23 [TRADE EXECUTED]
Zone: AM (6:30-9 AM MT)
Tier: A+ (Score: 85/100)

Order:
• Side: BUY 2 MES
• Entry: 5800.50
• Stop: 5795.50 (-5.00 pts)
• Target: 5810.50 (+10.00 pts)
• R:R: 1:2
• Risk: $125.00 (1.25% of account)

Factors: BOS(+30) + S/R(+25) + Liquidity(+20) + GANN(+15) + PRI(+10)
Signal ID: fvg_20260305_084523

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Built for traders who execute. No emotions, just edge.