Descrição
ONE STRATEGY. ONE MARKET. SYSTEMATIC EXECUTION.
StratVector GBPJPY M30 is a focused single-strategy trading system for cTrader, built specifically for GBPJPY.
The cBot trades a systematic M30 trend-pullback strategy using predefined entry conditions, structural exits and equity-based position sizing.
It trades one clearly defined strategy with controlled risk and without discretionary intervention.
TESTED WITH DIFFERENT ACCOUNT SIZES
Native cTrader backtests
03 May 2023 – 30 September 2026
Risk per trade: 1 percent
Maximum total open risk: 2 percent
Compounding: enabled
$500 → net profit $9.66 | return 1.93 percent | PF 1.01 | 493 trades | max equity DD 26.76 percent
$1,000 → net profit $611.82 | return 61.18 percent | PF 1.31 | 280 trades | max equity DD 13.15 percent
$2,000 → net profit $1,376.86 | return 68.84 percent | PF 1.41 | 209 trades | max equity DD 12.54 percent
$3,000 → net profit $2,101.96 | return 70.07 percent | PF 1.40 | 209 trades | max equity DD 13.86 percent
$5,000 → net profit $3,694.12 | return 73.88 percent | PF 1.40 | 209 trades | max equity DD 12.51 percent
$10,000 → net profit $7,699.55 | return 77.00 percent | PF 1.40 | 209 trades | max equity DD 12.75 percent
All tests used the same strategy configuration. Only the starting balance was changed.
Smaller accounts can produce different trade counts and relative performance because minimum position sizes and volume increments limit how precisely percentage-based position sizing can scale.
From $2,000 upward, the tested strategy reached the same 209-trade population as the $10,000 reference test.
WHY STRATVECTOR GBPJPY M30?
Many trading bots attempt to cover multiple markets, strategies and conditions at once.
StratVector GBPJPY M30 takes the opposite approach.
It focuses on:
• one market: GBPJPY
• one strategy: trend pullback
• one direction: long
• one timeframe: M30
• one predefined risk framework
The result is a focused cBot with clearly defined behaviour and transparent historical testing.
REFERENCE BACKTEST
Native cTrader backtest
Test period: 03 May 2023 – 30 September 2026
Market: GBPJPY
Timeframe: M30
Starting balance: $10,000
Net profit: $7,699.55
Return: 77.00 percent
Profit factor: 1.40
Closed trades: 209
Maximum balance drawdown: 12.16 percent
Maximum equity drawdown: 12.75 percent
Final balance: $17,699.23
Final equity: $17,699.55
Backtest data: M1 bars from server
Spread: fixed at 0 pips
Commission setting: USD 30 per USD 1M volume
Risk per trade: 1 percent
Maximum total open risk: 2 percent
Compounding: enabled
Commission and swap costs are included in the reported backtest results.
The final balance and final equity differ by $0.32 because of the terminal unrealized position value in the native report.
Detailed performance, drawdown and capital-scaling results are shown in the product gallery.
SELECTIVE BY DESIGN
StratVector GBPJPY M30 is not designed to remain constantly in the market.
The strategy waits for its predefined GBPJPY M30 pullback conditions before opening a position.
Periods without trades are intentional.
The focus is on selective systematic entries rather than forcing trade frequency.
RISK MANAGEMENT
Position sizing is calculated dynamically from current account equity.
Default settings:
• Risk per trade: 1 percent
• Maximum total open risk: 2 percent
• Compounding: enabled
The Risk Percent parameter can be reduced if a more conservative risk profile is preferred.
The cBot uses predefined structural exits for every trade.
STRATEGY PROFILE
Market: GBPJPY
Timeframe: M30
Direction: Long
Strategy family: Trend Pullback
Execution: Automated
Position sizing: Equity-based
Default risk per trade: 1 percent
Maximum total open risk: 2 percent
Compounding: Enabled
Post-entry management: None
WHO IS STRATVECTOR GBPJPY M30 FOR?
StratVector GBPJPY M30 is designed for traders who prefer:
• systematic trading
• clearly defined risk
• focused single-strategy exposure
• selective automated execution
• transparent historical testing
COMPATIBILITY
Built for cTrader.
The strategy was developed and natively tested using FxPro market data and symbol specifications.
Broker conditions, symbol specifications, commission, swap and execution can differ between accounts and brokers.
CAPITAL SCALING
The strategy was tested with starting balances from $500 to $10,000 using the same strategy configuration.
The $500 and $1,000 tests produced different trade populations because minimum volume and volume-step constraints affected position sizing.
From $2,000 upward, all tested balances produced the same 209 closed trades as the $10,000 reference run.
This is a historical scaling observation, not a guarantee of future performance.
IMPORTANT
Backtests are historical simulations. They do not represent guaranteed future performance.
Trading involves risk, and losses are possible. Actual results can differ because of broker conditions, spreads, commissions, swaps, slippage, execution, liquidity and account-specific conditions.
Use risk settings appropriate for your account and personal risk tolerance.
