RESULTS

Performance should be presented with context

We focus on credibility: realistic assumptions, clearly stated periods, and transparent limitations. This helps you evaluate whether the strategy fits your market, timeframe, and risk tolerance.

Include commission + slippage

Serious traders test realistically. We do the same.

State the exact test period

Different regimes produce different outcomes. Dates matter.

Share key stats

PF, DD, trades, win rate, expectancy, streaks, and equity curve.

Placeholder: Your performance sheet

Replace the placeholders below with your actual numbers and add images (equity curve + example trades). If you give me your stats, I will format this page as a polished “Performance Sheet” for maximum conversion.

Period
YYYY-MM-DD to YYYY-MM-DD
Instrument
NASDAQ / ES / etc.
Timeframe
5m / 1m / etc.
Trades
###
Win rate
##%
Profit factor
#.##
Max drawdown
##%
Expectancy
$ or R

Evaluation checklist

  • Run tests on multiple regimes (trend, chop, high-volatility).
  • Use realistic costs (commission + slippage) and bar-close confirmation where applicable.
  • Check sample size (trade count) and drawdown tolerance.
  • Confirm behaviour across different broker feeds or TradingView data sources.
METHODOLOGY

Minimum standard backtest methodology

This is how serious traders evaluate strategies before risking real money.

Assumptions

Commission, slippage, position sizing, and session hours.

Overfitting controls

Out-of-sample testing, multiple regimes, and parameter sanity checks.

Operational notes

Signals vs alerts, bar-close confirmation, and broker feed differences.

Risk disclosure

Drawdowns, streaks, and why “wins every day” is not a realistic claim.

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Educational software only. Trading involves substantial risk and can result in losses. Past performance is not indicative of future results.