Edge FTMO Swing — verifiable prop-firm cBot for cTrader

Aggressive · 13 strategies · 6 markets

Edge FTMO Swing

Its own larger set, tuned to the 8% prop ceiling.

Best for Experienced traders chasing the fastest payout, comfortable with a wider band.
DD ceiling<8.0%MC p95 + OOS
$1499one-time · cTrader Store
View on cTrader →
99.9%
FTMO-funded19,980 / 20,000 simulated challenges · median 4.9 mo to funded
Profit factor1.84per day
Win rate51.6%per day
Max DD · equity▼ −4.0%intrabar
ROI · 5y212.3%
Sharpe3.26per day
CAGR25.6%
Sortino6.85per day
OOS DD▼ −4.4%
Worst day▼ −1.3%
MC p95 DD7.1%worst-case sim
Months +/−50/11 · 82.0% positive
realbacktesting engine · realistic — intrabar M1 + real spread + 1 bps slippage · per trading day

Strengths

  • Fastest to funded — median ≈ 4.9 months
  • Highest payouts (≈ €1,892/mo on 80k) and highest ROI of the three
  • Its own larger 13-strategy set, run at a higher risk scale
  • For experienced traders chasing the quickest payout

Trade-offs — the honest bad

  • Widest drawdown band (<8%) — more equity swing to sit through
  • Not a perfect 100%: funded on 99.9% (20 of 20,000 paths failed)
  • Worst-day ≈ −1.3% — needs a steadier hand
  • Not a first prop account — built for traders who know the ropes

Funding & payout

99.9%
funded · 19,980/20,000 paths
4.9 mo
median to funded · p25 3.57 / p75 6.62
€1,892/mo
median payout · 80k @ 80% split
€18,617/yr
modelled income · 80k
Payout · 80k€1,892/mo
Payout · 100k€2,365/mo
Payout · 160k€3,783/mo
Positive months82.0% 50/61

Modelled over 20,000 seeded Monte-Carlo paths on the realbacktesting engine's own daily P&L (real costs), through the FTMO two-phase rules. Modelled, not guaranteed. Full funding method →

Markets & strategies

BitcoinDAX 40EthereumNasdaq 100USD/JPYGold13 strategies · 6 markets

13 independent, decorrelated strategies — trend, breakout, momentum, mean-reversion and volatility archetypes, each individually validated (deflated-Sharpe, PBO, 30% out-of-sample). The exact rules, parameters and weights stay proprietary. Methodology →

$1499one-time · less than one modelled funded month