realbacktesting
Audited replay · cTrader Historical Replay

realbacktesting Guardian FTMO Swing

FTMO Platform · EUR · 1:30 · 5y 5m 27d (04/01/2021 - 01/07/2026) · 3215 trades across 5 markets
data · m1BarsFromServer start €80,000 end €172,713 commissions + swaps modelled account · hedging
This is the cTrader-native run — the exact figure a buyer reproduces in their own cTrader. Every number below is cTrader's own (m1 bars, spread 0, real commission + swap); this page only restyles cTrader's exported data — it adds nothing. Open the untouched original (top-right) and reconcile any number yourself. Risk metrics are per trading day (×√252).

Watch the backtest in cTrader

The full walkthrough — reproduce it yourself with the free backtest-only edition.
ROI · 5y115.89%total return
CAGR15.1%geometric / yr
Net profit€92,713on €80,000
Max equity DD3.18%€3,803 · intrabar
Sharpe2.82daily · √252
Sortino6.22daily · √252
Profit factor1.55per-trade
Trades3,215win 43.8% · per-trade
Recovery24.4net ÷ maxDD
Calmar4.7CAGR ÷ maxDD

Equity curve · 2021-01-04 → 2026-07-01

The account balance exactly as cTrader plots it — €80,000 start → €172,713 end. Nothing added or shaded.
account balance hover any point for profit · return · drawdown

Per-day vs per-trade — same trades, different denominator

The very same trades, counted two ways. Per-day aggregates them to the trading day — how a portfolio is risked & how FTMO rules bite (Sharpe/Sortino ×√252); per-trade is exactly how cTrader's report tab counts each fill. One run, two denominators — neither is wrong; they answer different questions.
metricthese trades · per-day cTrader · per-tradewhy they differ
Sharpe2.82n/arisk-adjusted return; per-trade Sharpe is undefined
Profit factor1.811.55intraday netting lifts day-PF above trade-PF
Win rate49.5%43.8%338 near-BE/trail scratches drag the per-trade rate
Return115.9%115.9%identical either way — total return doesn't depend on the denominator; only the risk ratios above do

Yearly return

2021+9.1%
2022+22.7%
2023+15.6%
2024+16.5%
2025+15.5%
2026+3.6%

Costs · verified

Commissions€-2,739.58
Swaps€-2,729.64
Total friction€-5,469.22
% of gross P/L5.57%
Near-BE / trail scratches338 (10.5%)

By market

Indices are commission-free on FTMO (spread-only); FX, metals & crypto carry commission.
markettradesnet wincommswap
US100.cash743€32,35753%€0€-58
GER40.cash510€31,91347%€0€-1,297
ETHUSD520€17,53538%€-2,169€-1,229
USDJPY1111€6,16840%€-455€-101
XAUUSD331€4,75440%€-115€-46

Independent strategy sleeves

10 uncorrelated systems — each validated before inclusion.

The per-strategy breakdown is not published — the logic of the book is the product. Everything above is the whole account, unfiltered: equity curve, drawdown, verified costs and the full per-symbol split.

Reproduce this backtest — step by step

Don't trust a screenshot. Run it yourself in cTrader and match every number on this page.
  1. Install the cBot. Add realbacktesting Guardian FTMO Swing to cTrader (cTrader Store → My cBots, or import the .algo). It compiles with zero warnings.
  2. Attach it to a chart. Open EURUSD on the m1 timeframe and drop the cBot on it. It is multi-symbol — it trades every market internally from this one host chart, so the host symbol only needs to exist.
  3. Set the warm-up gate. In the cBot parameters → group 6 Advanced, set Entries from (UTC yyyy-MM-dd) = 2021-06-01. Indicators warm up on the earlier data; live entries begin on this date — that is why the curve starts 1 Jun 2021, not 23 Mar.
  4. (Only if your broker renames markets) set Symbol overrides (e.g. USATECHIDXUSD=US100.cash,DEUIDXEUR=GER40.cash). On FTMO the defaults resolve automatically.
  5. Configure the backtest tab.
    • Period: 2021-01-04 → 2026-07-01 (start earlier than the entry date so indicators warm up).
    • Data: m1 bars from server (opening prices) — the light mode; runs on any machine.
    • Spread: Fixed value · 0 pips — a multi-asset backtest can only set one spread for every instrument, and any single value is wrong; we leave it at 0 here and model real per-symbol spread in our own engine.
    • Commission: 30 USD per 1M · apply automatically · Starting capital €80,000 · Leverage 1:30.
  6. Run, then compare. Press play. When it finishes, open the untouched cTrader original ↗ side-by-side — net profit, trades, drawdown and the equity curve should match to the tick.

Same strategies, same data, same rules. The only things that differ on a live account are when an entry fires (a few seconds of jitter) and how much it sizes (your balance) — both expectancy-neutral by construction.

Methodology. Backtest run in cTrader (m1BarsFromServer) on FTMO Platform, 5y 5m 27d (04/01/2021 - 01/07/2026), starting €80,000, leverage 1:30. Commissions and swaps are modelled (€-5,469.22 total). Sharpe/Sortino are re-derived from the daily equity path (cTrader does not report them) using our published convention — daily returns on the starting base, sample-std, annualised ×√252. Our site headline is read from the same validation that drives the live cBot (scale-matched); it is conservative relative to this cTrader run. Reproduce it: load the cBot in your own cTrader, point it at FTMO symbols, run the same window. Proof over promises.