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:

bash

# 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

Quick Commands:

bash

cd C:\Users\EX PC\.openclaw\workspace\skills\1ai-skills\trading
.venv\Scripts\activate
python scripts\xauusd_backtest.py

summary

Generate trading summary from CSV file.

Usage:

bash

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):

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:

bash

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:

bash

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:

bash

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:

bash

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:

bash

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:

bash

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:

bash

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:

bash

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:

bash

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

bash

# 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

bash

# 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

bash

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

bash

pip install yfinance pandas pytz openpyxl

Optional Packages

bash

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

Note

Run scripts from
```
trading/scripts/
```
directory
Or from parent directory with:
```
python scripts/script_name.py
```
For MT5: requires Windows + MT5 terminal installed

trading

NPX Install

Tags

SKILL.md Content

Trading Skills System

Capabilities

Broker Connectors

Trading Modes

Strategy Support

Trading Team

Commands

setup

signal today

backtest

summary

paper start

paper status

paper stop

real arm

real status

real disarm

export trades

Strategies

FOREX Strategies

holy_grail

momentum_elder

kumo_breakout

CRYPTO Strategies

funding_reversal

volume_momentum

STOCKS Strategies

golden_cross

rsi_divergence

COMMODITY Strategies

gold_silver_ratio

seasonal

Configuration

Session Settings

Risk Settings

Execution Settings

Examples

XAUUSD Asia Session Breakout

Crypto Strategy

Safety Guardrails

Quick Start

1. Setup Python Environment

2. Run Backtest

3. Generate Summary from CSV

Available Scripts

Dependencies

Required Packages

Optional Packages

Note

`setup`

`signal today`

`backtest`

`summary`

`paper start`

`paper status`

`paper stop`

`real arm`

`real status`

`real disarm`

`export trades`

`holy_grail`

`momentum_elder`

`kumo_breakout`

`funding_reversal`

`volume_momentum`

`golden_cross`

`rsi_divergence`

`gold_silver_ratio`

`seasonal`