trading

Trading Skills System

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Install skill "trading" with this command: npx skills add oyi77/1ai-skills/oyi77-1ai-skills-trading

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

  • Pre-trade validation: Spread check, drawdown check, daily limit check

  • Parameter confirmation: Always show summary before real execution

  • Hard limits: 1 trade per day, max spread, max drawdown

  • 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

  1. 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

  1. Generate Summary from CSV

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

Available Scripts

Script Purpose

xauusd_backtest.py

Backtest XAUUSD using Yahoo Finance data

backtest_summary.py

Generate metrics summary from trade CSV

xauusd_backtest.ps1

PowerShell alternative (no Python deps)

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 MT4 MT5 cTrader API Linux Support

MetaQuotes-Demo ✅ ✅ ❌ REST/FIX ⚠️ Wine required (CPU AVX2+)

Exness ✅ ✅ ❌ Python SDK ❌ No cTrader

Fusion Markets

✅ Open API ✅ Native

Pepperstone ✅ ✅ ✅ Open API ✅ Native

FP Markets

✅ Open API ✅ Native

Axi ✅ ✅ ✅ Open API ✅ Native

Ostium

Python SDK ✅ Native!

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)

Source Transparency

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