realbacktesting
Audited replay · cTrader Historical Replay

realbacktesting Guardian FTMO Swing

FTMO Platform · EUR · 1:30 · 5y 2m 8d (23/03/2021 - 31/05/2026) · 2254 trades across 5 markets
data · m1BarsFromServer start €80,000 end €172,679 commissions + swaps modelled account · hedging
This is the cTrader-native run — the one you reproduce yourself. Every figure below is cTrader's own (m1 bars, spread 0); this page only restyles its exported data. Open the untouched original (top-right) and reconcile any number yourself. Our published realbacktesting figure is the realistic one — real per-symbol spread, 1 bps slippage and intrabar execution (compared just below). Risk metrics are per trading day (×√252).

realbacktesting vs the cTrader run

Same strategies, same data — our engine adds real spread + 1 bps slippage and intrabar execution.
metric realbacktesting
published · realistic
cTrader (m1)
this run · reproducible
note
ROI · 5y104.8%115.8% −11.0 pp — cTrader reads higher because it applies zero spread/slippage; our engine charges the real per-symbol spread + 1 bps slippage you actually pay
Profit factor1.821.90 our intrabar fills lift the day-level profit factor
Win rate51.7%49.1% open-only execution fills worse and misses intrabar exits

cTrader reads higher here only because it omits real spread + slippage (spread 0); our number is the realistic one — the same strategies with the costs you actually pay.

ROI · 5y115.85%total return
CAGR16.0%geometric / yr
Net profit€92,679on €80,000
Max equity DD2.69%€2,764 · intrabar
Sharpe3.13daily · √252
Sortino7.01daily · √252
Profit factor1.61per-trade
Trades2,254win 44.9% · per-trade
Recovery33.5net ÷ maxDD
Calmar5.9CAGR ÷ maxDD

Equity curve · 2021-03-23 → 2026-05-31

The account balance exactly as cTrader plots it — €80,000 start → €172,679 end. Nothing added or shaded.
account balance hover any point for profit · return · drawdown

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

Our published metrics aggregate to the trading day (how a portfolio is risked & how FTMO rules bite). cTrader's report counts each trade. Neither is wrong; they answer different questions.
metricour headline · per-day these trades · per-daycTrader · per-tradewhy they differ
Sharpe3.223.13n/arisk-adjusted return; per-trade Sharpe is undefined
Profit factor1.821.901.61intraday netting lifts day-PF above trade-PF
Win rate51.7%49.1%44.9%near-BE/trail scratches drag the per-trade rate
Return104.8%115.8%115.8%our published headline includes all real costs; cTrader applies none

Yearly return

2021+4.3%
2022+30.3%
2023+16.7%
2024+16.2%
2025+14.7%
2026+2.1%

Costs · verified

Commissions€-3,193.52
Swaps€-2,432.18
Total friction€-5,625.70
% of gross P/L5.728%
Near-BE / trail scratches126 (5.6%)

By market

Indices are commission-free on FTMO (spread-only); FX, metals & crypto carry commission.
markettradesnet wincommswap
GER40.cash461€29,24649%€0€-964
USDJPY592€22,78542%€-1,525€-278
ETHUSD521€20,24343%€-1,506€-1,115
US100.cash390€12,05146%€0€-39
XAUUSD290€8,25848%€-163€-36

Independent strategy sleeves

8 uncorrelated systems — each validated before inclusion.
PEGG-S01 ETHUSD · 270t · 47%PEGG-S02 US100.cash · 390t · 46%PEGG-S03 USDJPY · 335t · 40%PEGG-S04 ETHUSD · 251t · 38%PEGG-S05 GER40.cash · 229t · 46%PEGG-S06 XAUUSD · 290t · 48%PEGG-S07 USDJPY · 257t · 44%PEGG-S08 GER40.cash · 232t · 51%

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: 2021-03-23 → 2026-05-31 (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 2m 8d (23/03/2021 - 31/05/2026), starting €80,000, leverage 1:30. Commissions and swaps are modelled (€-5,625.70 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.