Trading Skills System

Comprehensive trading automation system with multi-broker support, strategy development, and autonomous trading capabilities.

Capabilities

Broker Connectors

• MetaTrader 5 (MT5): Full support for forex, commodities, stocks, indices
• MetaTrader 4 (MT4): Legacy broker support
• CCXT: Cryptocurrency exchange integration (Binance, Bybit, OKX, KuCoin, etc.)

Trading Modes

• Backtest: Historical strategy testing with detailed metrics
• Paper Trade: Virtual trading with real-time simulation
• Real Trade: Live execution with guardrails and safety checks

Strategy Support

• Crypto: Cryptocurrency trading strategies
• TradFi:
  • Forex: Major, minor, and exotic pairs
  • Stocks: Individual equities
  • Commodities: Gold, silver, oil, etc.

Trading Team

• Researcher: Market analysis and data collection
• Strategist: Strategy building and optimization
• Risk Manager: Position sizing and risk control
• Executor: Trade execution with broker integration
• Orchestrator: Team coordination for autonomous operations

Commands

setup

Initialize trading configuration and broker connection.

Usage: setup broker=mt5 path=/path/to/mt5 terminal login=12345 password=xxx server=Broker-Server

signal today

Get trading signals for today.

Usage: signal today symbol=XAUUSD timeframe=H1

backtest

Run historical backtest with full metrics.

Usage:

# Quick backtest (uses breakout strategy with Yahoo Finance data)
python scripts/xauusd_backtest.py --initial-balance 100 --start 2025-01-01 --end 2026-01-01

# With custom parameters
python scripts/xauusd_backtest.py --initial-balance 100 --start 2025-01-01 --end 2026-01-01 --lookback 20 --tp 0.02 --sl 0.01

Output includes:

• Initial Balance / Ending Balance
• Net PNL with Return %
• Max Drawdown (absolute + %)
• PNL in USD
• PNL in Points/Pips
• Avg Win/Loss
• Profit Factor
• Win Rate

#RX|# Cross-platform quick start: #RX|# Linux/Mac: #RX|cd ~/path/to/1ai-skills/trading #RX|source .venv/bin/activate #RX|python scripts/xauusd_backtest.py #RX|# #RX|# Windows: #RX|cd C:\Users\EX PC.openclaw\workspace\skills\1ai-skills\trading #RX|.venv\Scripts\activate #RX|python scripts\xauusd_backtest.py

summary

Generate trading summary from CSV file.

Usage:

python scripts/backtest_summary.py --file trades.csv
python scripts/backtest_summary.py --file trades.csv --json
python scripts/backtest_summary.py --file trades.csv --initial-balance 5000

Input Format (CSV):

pair,pnl_usd,pnl_points,win
XAUUSD,27.00,2.7,True
XAUUSD,-45.00,-4.5,False

paper start

Start paper trading mode.

Usage: paper start symbol=XAUUSD

paper status

Check paper trading status.

Usage: paper status

paper stop

Stop paper trading.

Usage: paper stop

real arm

Arm real trading with guardrail check.

Usage: real arm symbol=XAUUSD volume=0.01

real status

Check real trading status.

Usage: real status

real disarm

Disarm real trading.

Usage: real disarm

export trades

Export trade history.

Usage: export trades format=csv

Strategies

FOREX Strategies

holy_grail

Multi-timeframe trend-following strategy using EMA crossovers and ADX confirmation.

Usage: signal today symbol=EURUSD strategy=holy_grail timeframe=H1

Parameters:

• ema_fast: Fast EMA period (default: 9)
• ema_slow: Slow EMA period (default: 21)
• adx_period: ADX period for trend strength (default: 14)
• adx_threshold: Minimum ADX value to confirm trend (default: 25)

Example:

signal today symbol=GBPUSD timeframe=H1 ema_fast=12 ema_slow=26 adx_threshold=30

momentum_elder

Impulse system based on Elder Ray concept with volume confirmation.

Usage: signal today symbol=USDJPY strategy=momentum_elder timeframe=H4

Parameters:

• ema_period: EMA period for trend direction (default: 13)
• bull_power_threshold: Minimum bull power for long signals (default: 0.0001)
• bear_power_threshold: Maximum bear power for short signals (default: -0.0001)

Example:

signal today symbol=AUDUSD timeframe=D1 ema_period=21

kumo_breakout

Ichimoku Kumo breakout strategy with cloud analysis.

Usage: signal today symbol=USDCAD strategy=kumo_breakout timeframe=H1

Parameters:

• tenkan_period: Tenkan-sen period (default: 9)
• kijun_period: Kijun-sen period (default: 26)
• senkou_span_b: Senkou Span B period (default: 52)
• cloud_threshold: Cloud thickness filter (default: 0.0005)

Example:

signal today symbol=EURJPY timeframe=H4 tenkan_period=12 kijun_period=24

CRYPTO Strategies

funding_reversal

Arbitrage strategy based on funding rate divergences across exchanges.

Usage: signal today symbol=BTC/USDT strategy=funding_reversal exchange=binance

Parameters:

• funding_threshold: Minimum funding rate difference (default: 0.01%)
• holding_period: Maximum holding period in hours (default: 24)
• min_spread: Minimum price spread between exchanges (default: 0.1%)

Example:

signal today symbol=ETH/USDT strategy=funding_reversal exchange=bybit funding_threshold=0.02%

volume_momentum

Volume-weighted momentum strategy with volume spike detection.

Usage: signal today symbol=SOL/USDT strategy=volume_momentum timeframe=1h

Parameters:

• volume_ma_period: Volume MA period (default: 20)
• volume_multiplier: Volume spike threshold (default: 2.0)
• momentum_period: Momentum calculation period (default: 14)

Example:

signal today symbol=DOGE/USDT strategy=volume_momentum timeframe=4h volume_multiplier=2.5

STOCKS Strategies

golden_cross

Classic golden cross strategy with moving average crossovers.

Usage: signal today symbol=AAPL strategy=golden_cross timeframe=D1

Parameters:

• fast_ma: Fast moving average period (default: 50)
• slow_ma: Slow moving average period (default: 200)
• ma_type: MA type (SMA, EMA, WMA) (default: SMA)

Example:

signal today symbol=TSLA strategy=golden_cross timeframe=D1 fast_ma=50 slow_ma=200 ma_type=EMA

rsi_divergence

RSI divergence detection for reversal signals.

Usage: signal today symbol=NVDA strategy=rsi_divergence timeframe=H1

Parameters:

• rsi_period: RSI period (default: 14)
• oversold: Oversold threshold (default: 30)
• overbought: Overbought threshold (default: 70)
• divergence_lookback: Lookback period for divergence (default: 14)

Example:

signal today symbol=MSFT strategy=rsi_divergence timeframe=H4 rsi_period=21 oversold=25 overbought=75

COMMODITY Strategies

gold_silver_ratio

Precious metals ratio trading strategy.

Usage: signal today symbol=XAUUSD strategy=gold_silver_ratio timeframe=D1

Parameters:

• ratio_ma_period: Ratio MA period (default: 50)
• ratio_threshold: Upper/lower threshold for signals (default: 80)
• correlation_check: Verify correlation before trading (default: true)

Example:

signal today symbol=XAGUSD strategy=gold_silver_ratio timeframe=D1 ratio_threshold=75

seasonal

Seasonal pattern strategy based on historical monthly performance.

Usage: signal today symbol=CLNYMEX strategy=seasonal timeframe=D1

Parameters:

• lookback_years: Years of historical data (default: 10)
• min_win_rate: Minimum historical win rate (default: 55%)
• seasonal_month: Specific month to trade (optional)

Example:

signal today symbol=GCNYMEX strategy=seasonal timeframe=D1 lookback_years=15 min_win_rate=60

Configuration

Session Settings

• timezone: Trading timezone (default: “Asia/Jakarta”)
• session_start: Session start time (default: “07:00”)
• session_end: Session end time (default: “15:00”)

Risk Settings

• risk_mode: “fixed_lot” or “fixed_risk_percent”
• fixed_lot: Fixed lot size (default: 0.01)
• risk_percent: Risk percentage per trade (default: 1.0)
• rr_ratio: Risk-reward ratio (default: 2.0)

Execution Settings

• max_spread_points: Maximum spread allowed
• one_trade_per_day: Limit to one trade per day
• cancel_opposite_on_trigger: Cancel opposite pending order on trigger
• cancel_all_at_session_end: Cancel pending orders at session end

Examples

XAUUSD Asia Session Breakout

setup symbol=XAUUSD broker=mt5
signal today
backtest start=2024-01-01 end=2024-12-31
paper start

Crypto Strategy

setup symbol=BTC/USDT broker=ccxt exchange=binance
signal today
backtest start=2024-01-01 end=2024-12-31

Safety Guardrails

1. Pre-trade validation: Spread check, drawdown check, daily limit check
2. Parameter confirmation: Always show summary before real execution
3. Hard limits: 1 trade per day, max spread, max drawdown
4. Opposite cancellation: Cancel pending order when opposite triggers

Quick Start

1. Setup Python Environment

# Windows
cd C:\Users\EX PC\.openclaw\workspace\skills\1ai-skills\trading
python -m venv .venv
.venv\Scripts\activate

# Install dependencies
pip install yfinance pandas pytz openpyxl

# Linux/Mac
cd /path/to/1ai-skills/trading
python3 -m venv .venv
source .venv/bin/activate
pip install yfinance pandas pytz openpyxl

2. Run Backtest

# XAUUSD backtest
python scripts/xauusd_backtest.py --initial-balance 100

# Custom period
python scripts/xauusd_backtest.py --start 2025-01-01 --end 2026-01-01 --initial-balance 100

3. Generate Summary from CSV

python scripts/backtest_summary.py --file your_trades.csv

Available Scripts

Dependencies

Required Packages

pip install yfinance pandas pytz openpyxl

Optional Packages

pip install MetaTrader5  # For MT5 broker connection
pip install ccxt         # For crypto exchanges (Binance, Bybit, OKX, KuCoin, etc.)

# For cTrader (Native Linux support!)
pip install ctrader-open-api ejtraderCT

# For Ostium (Decentralized Perpetual Exchange)
pip install ostium-python-sdk

Broker Platform Support

Broker Connectors Available

from trading.brokers.mt5 import MT5Connector
from trading.brokers.ccxt import CCXTConnector
from trading.brokers.ctrader import CTraderConnector
from trading.brokers.ostium import OstiumConnector

# MT5 (Windows/Linux Wine)
mt5 = MT5Connector()
mt5.connect(login=12345, password="xxx", server="Broker-Server")

# CCXT (Crypto)
ccxt = CCXTConnector()
ccxt.connect(exchange="binance", api_key="xxx", secret="xxx")

# cTrader (Native Linux!)
ctrader = CTraderConnector()
ctrader.connect(client_id="xxx", client_secret="xxx", access_token="xxx")

# Ostium (Decentralized Perpetual)
ostium = OstiumConnector()
ostium.connect(api_key="xxx", wallet_address="0x...")

Note

• Run scripts from trading/scripts/ directory
• Or from parent directory with: python scripts/script_name.py
• For MT5: requires Windows + MT5 terminal installed
• For Linux users: cTrader and Ostium provide native support without Wine!

Note

• Run scripts from trading/scripts/ directory
• Or from parent directory with: python scripts/script_name.py
• For MT5: requires Windows + MT5 terminal installed
• For Linux users: cTrader and Ostium provide native support without Wine!

MT5 Setup

Remote MT5 Server

You can connect to a remote MT5 server without running MT5 locally:

Server Details:

• Host: 5.189.138.144
• RPyC Port: 18812
• VNC Access: http://5.189.138.144:6081/vnc.html
• Login: 5046812779
• Server: MetaQuotes-Demo
• Password: PiUk_5Ql
• Investor Password: NiSf_x5r

Note: The Docker container on this server has Wine compatibility issues with AMD EPYC CPU. Use SimulatedBroker for now.

Simulated Broker (Default)

The simulated broker uses Yahoo Finance and works reliably:

from trading.brokers.simulated import SimulatedBroker

broker = SimulatedBroker()
broker.connect(symbol="XAUUSD")
data = broker.get_ohlcv("XAUUSD", "H1", count=100)