ONE STRATEGY. ONE MARKET. SYSTEMATIC EXECUTION.

StratVector AUDJPY is a focused single-strategy trading system for cTrader, built specifically for AUDJPY.

The cBot trades a systematic H1 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 $69.23 | return 13.85 percent | PF 1.09 | 229 trades | max equity DD 19.71 percent

$1,000 → net profit $192.50 | return 19.25 percent | PF 1.21 | 152 trades | max equity DD 14.87 percent

$2,000 → net profit $546.34 | return 27.32 percent | PF 1.33 | 122 trades | max equity DD 10.52 percent

$3,000 → net profit $1,183.31 | return 39.44 percent | PF 1.53 | 106 trades | max equity DD 9.47 percent

$5,000 → net profit $1,979.93 | return 39.60 percent | PF 1.51 | 106 trades | max equity DD 9.60 percent

$10,000 → net profit $4,195.39 | return 41.95 percent | PF 1.53 | 106 trades | max equity DD 9.73 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 $3,000 upward, the tested strategy reached the same 106-trade population as the $10,000 reference test.

WHY STRATVECTOR AUDJPY?

Many trading bots attempt to cover multiple markets, strategies and conditions at once.

StratVector AUDJPY takes the opposite approach.

It focuses on:

• one market: AUDJPY
• one strategy: trend pullback
• one direction: long
• one timeframe: H1
• 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: AUDJPY
Timeframe: H1
Starting balance: $10,000
Net profit: $4,195.39
Return: 41.95 percent
Profit factor: 1.53
Closed trades: 106
Maximum balance drawdown: 8.37 percent
Maximum equity drawdown: 9.73 percent
Final balance: $14,195.65
Final equity: $14,195.39

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.

Detailed performance, drawdown and capital-scaling results are shown in the product gallery.

SELECTIVE BY DESIGN

StratVector AUDJPY is not designed to remain constantly in the market.

The strategy waits for its predefined AUDJPY H1 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 stop-loss and take-profit levels for every trade.

STRATEGY PROFILE

Market: AUDJPY
Timeframe: H1
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

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 and account-specific conditions.