algorithmic trading for FOREX
pip ramp

ramp up the pips. cut the noise.

mechanical signals. market structure. a clearer trading plan.

built primarily for EUR/USD through months of research and historical data analysis, with ML research informing ongoing development.

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2026 research backtest

EUR/USD · historical strategy research

80.07%

historical win rate

1.44

historical profit factor

271

completed trades

+3.29

net pips per trade

0.57%

marked-equity max drawdown

3.41

annualized Sharpe ratio

evaluation methodology

these figures summarize EUR/USD strategy research from march–september 2026, covering 271 completed trades. pip-based results include a conservative allowance of 2.72 pips per completed trade.

the backtest includes development data.

account metrics use separate commission-net marked equity, including open positions, with a $5,000 starting account and 25% equity allocation per position. Sharpe is annualized using calendar-period returns and a 0% risk-free rate.

historical results do not guarantee future performance.

see the setup. trade with a plan.

pip ramp brings market structure and price imbalances into one focused EUR/USD framework. it combines fair value gaps (FVG) and inverse fair value gaps (iFVG) with proprietary mechanical rules to highlight qualifying long and short setups.

each setup comes with target, protection and trade-management guidance, so you can see more than an entry arrow. developed through months of research and historical data analysis, pip ramp is designed to help you approach the chart with greater focus and a structured plan.

selective setups

a mechanical framework for identifying qualifying long and short opportunities.

structured guidance

target and protection information to help put each setup in context.

ongoing management

guidance that extends beyond the initial signal as the trade develops.

Illustrative Pip Ramp signal and trade-management schematic.

mechanical at the core. analytical by design.

developed through months of historical data analysis, the framework combines market context with structured setup and trade-management guidance. ML research supports the investigation of further refinements.

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