Penerangan
STRATVECTOR CORE
StratVector Core is a multi-strategy cBot combining four independent systematic trading modules across Bitcoin, Gold and XRP.
Rather than relying on a single trading model, the system combines complementary trend, breakout, momentum and intermarket logic across multiple markets and timeframes.
KEY FEATURES
• Four independent systematic strategy modules
• Bitcoin, Gold and XRP trading
• XAG market data used as reference input for one Gold module
• Multi-market and multi-timeframe architecture
• Current-equity based position sizing
• Dynamic compounding
• Configurable Risk per Trade
• Configurable Max Total Open Risk
• Automatic position sizing and trade management
• Long and short strategy exposure
• Portfolio-level risk control
STRATEGY ARCHITECTURE
Bitcoin:
Systematic market-specific trading module.
Gold:
Two independent systematic trading modules, including an intermarket module using XAG as additional reference data.
XRP:
Systematic market-specific trading module.
Each module uses its own predefined signal, exit and trade-management logic.
Proprietary signal thresholds, entry rules and individual trade-management algorithms are embedded within the cBot and are not exposed as user-configurable strategy parameters.
TRADED MARKETS
Actively traded:
Bitcoin • Gold • XRP
XAG / Silver is used solely as reference market data for one Gold strategy module.
StratVector Core does not open Silver positions.
RISK MANAGEMENT
Default configuration:
Risk per Trade: 1.00 %
Max Total Open Risk: 4.00 %
Position sizing is calculated dynamically from current account equity, allowing position size to adapt as equity changes.
The portfolio risk engine monitors planned risk across open positions and can prevent additional exposure when the configured maximum total open-risk limit would be exceeded.
DEFAULT SYMBOL CONFIGURATION
BTC: BITCOIN
Gold: XAUUSD
XRP: XRP
Silver reference: XAGUSD
Broker symbol names may differ. Market mappings can therefore be adjusted through the public cBot parameters where necessary.
REFERENCE BACKTEST
Platform: cTrader 5.9.16
Broker: FxPro Demo
Account: USD • Hedging
Starting Capital: $10,000
Leverage: 1:30
Period: 03 May 2023 – 14 August 2026
Host: EURUSD • H1
Historical Data: M1 bars from server / opening prices
Spread: Fixed 1 pip
Commission: $30 per $1M traded volume
Automatic Commission: Off
Backtest parameters:
BTC: BITCOIN • Gold: XAUUSD • XRP: XRP • Silver reference: XAGUSD
Risk per Trade: 1.00 % • Max Total Open Risk: 4.00 %
REFERENCE BACKTEST RESULTS
Return: +189.79 %
Net Profit: +$18,978.66
Final Balance: $28,978.66
Profit Factor: 1.77
Max Balance Drawdown: 11.02 %
Max Equity Drawdown: 14.80 %
Transactions: 252
Winners: 104
Losses: 148
Commission: -$202.80
Swap: -$1,341.37
IMPORTANT INFORMATION
StratVector Core is a systematic multi-strategy trading system. Trading frequency and market exposure depend on predefined strategy conditions, and the cBot may remain inactive for extended periods when no valid setup is present.
Correct broker symbol mapping is required. Symbol names, contract specifications, spreads, commissions, swaps and execution conditions can differ between brokers.
XAG is required only as reference market data for one Gold module and is not traded directly.
Backtest results are historical and depend on broker data, spreads, commissions, swaps, symbol specifications and execution conditions. Live results can differ materially from backtested results.
Trading involves risk. Past performance does not guarantee future results.
Ringkasan
Key features include equity-based dynamic position sizing, configurable risk per trade (default 1%) and maximum total open risk (default 4%), automatic trade and position management, and portfolio-level risk controls. The system supports both long and short exposures and adapts position sizes based on current account equity.
The strategy architecture consists of one Bitcoin-specific module, two Gold modules (including an intermarket module using Silver data), and one XRP-specific module, each with proprietary signal, exit, and trade management logic embedded within the cBot.
Backtested on cTrader with FxPro Demo data from May 2023 to August 2026, the bot showed a return of +189.79%, a profit factor of 1.77, and a maximum balance drawdown of 11.02%. It operates with low-frequency swing trading style and uses market orders on hourly charts. Broker symbol mappings are adjustable to accommodate different naming conventions. Risk management tools include fixed risk percentage, stop loss, take profit, and trailing stop loss.
