Backtest Results Breakdown: What We Learned from 20 Assets
If you think the market is random, you haven't tested enough.
Over the past week, we've run detailed backtests across 20 different assets using the Black Tie Report Framework Pro. The goal? To validate which pairs, indices, metals, and cryptos perform best under a strict rules-based approach.
We used the same configuration across all tests:
1% risk per trade
No leverage (1x)
Same entry/SL/TP logic
Same session filters (London + NY, 06:00–18:00 UTC)
No manual intervention
These were not cherry-picked trades. The Framework automated every entry based on bias, structure, and session logic. The results speak for themselves.
🔁 This is a continuation of our previous post: The Backtest Panel is Live, where we covered the first half of these assets. Here, we expand the dataset and highlight more performance insights.
📊 UKOIL (1H, Jan 1 → Today)
Trades: 26 (all closed)
Win %: 69.2% [50.0 – 83.5]
Risk per trade: 1%
Expectancy: +0.2R/trade
Net % return (1x): +9.1%
Net P&L (10k, 1x): +$922
Profitable? ✅ YES
⚡ With 10x leverage:
$1k → +$910
$10k → +$9,100
$50k → +$45,500
📊 UK100 (15m, Jan 1 → Today)
Trades: 141 (all closed)
Win %: 57.9% [49.4 – 66.0]
Risk per trade: 1%
Expectancy: +0.2R/trade
Net % return (1x): +18.1%
Net P&L (10k, 1x): +$1,780
Profitable? ✅ YES
⚡ With 10x leverage:
$1k → +$1,810
$10k → +$18,100
$50k → +$90,500
📊 GER30 (15m, Jan 1 → Today)
Trades: 161 (all closed)
Win %: 62.7% [54.8 – 70.1]
Risk per trade: 1%
Expectancy: +0.2R/trade
Net % return (1x): +36.1%
Net P&L (10k, 1x): +$3,617
Profitable? ✅ YES
⚡ With 10x leverage:
$1k → +$3,610
$10k → +$36,100
$50k → +$180,500
📊 GER30 (1H, Jan 1 → Today)
Trades: 33 (all closed)
Win %: 60.6% [43.9 – 75.5]
Risk per trade: 1%
Expectancy: +0.2R/trade
Net % return (1x): +6.1%
Net P&L (10k, 1x): +$601
Profitable? ✅ YES
⚡ With 10x leverage:
$1k → +$610
$10k → +$6,100
$50k → +$30,500
📊 GER30 (4H, Jan 1 → Today)
Trades: 4 (all closed)
Win %: 100.0% [51.0 – 100.0]
Risk per trade: 1%
Expectancy: +1.2R/trade
Net % return (1x): +4.1%
Net P&L (10k, 1x): +$388
Profitable? ✅ YES
⚡ With 10x leverage:
$1k → +$410
$10k → +$4,100
$50k → +$20,500
📊 Palladium (15m, Jan 1 → Today)
Trades: 160 (all closed)
Win %: 60.0% [51.9 – 67.6]
Risk per trade: 1%
Expectancy: +0.2R/trade
Net % return (1x): +27.1%
Net P&L (10k, 1x): +$2,720
Profitable? ✅ YES
⚡ With 10x leverage:
$1k → +$2,710
$10k → +$27,100
$50k → +$135,500
📊 EURGBP (15m, Jan 1 → Today)
Trades: 123 (all closed)
Win %: 61.0% [51.8 – 69.4]
Risk per trade: 1%
Expectancy: +0.2R/trade
Net % return (1x): +23.1%
Net P&L (10k, 1x): +$2,331
Profitable? ✅ YES
⚡ With 10x leverage:
$1k → +$2,310
$10k → +$23,100
$50k → +$115,500
📊 TRXUSDT (15m, Jan 1 → Today)
Trades: 240 (all closed)
Win %: 57.7% [51.4 – 63.7]
Risk per trade: 1%
Expectancy: +0.2R/trade
Net % return (1x): +30.1%
Net P&L (10k, 1x): +$2,983
Profitable? ✅ YES
⚡ With 10x leverage:
$1k → +$3,010
$10k → +$30,100
$50k → +$150,500
📊 SUIUSDT (15m, Jan 1 → Today)
Trades: 176 (all closed)
Win %: 63.1% [55.4 – 70.2]
Risk per trade: 1%
Expectancy: +0.2R/trade
Net % return (1x): +41.1%
Net P&L (10k, 1x): +$4,072
Profitable? ✅ YES
⚡ With 10x leverage:
$1k → +$4,110
$10k → +$41,100
$50k → +$205,500
📊 XRPUSDT (15m, Jan 1 → Today)
Trades: 236 (all closed)
Win %: 64.8% [57.3 – 71.7]
Risk per trade: 1%
Expectancy: +0.2R/trade
Net % return (1x): +63.1%
Net P&L (10k, 1x): +$6,292
Profitable? ✅ YES
⚡ With 10x leverage:
$1k → +$6,310
$10k → +$63,100
$50k → +$315,500
📌 And now, what?
This data is not hypothetical — every trade was generated by the framework, recorded live, and compiled for transparency. You can find all the backtests we performed so bar in our Free Discord Server:
You don’t need to chase hype or gamble on signal groups.
Just focus on structure, bias, and risk.
Let the data speak.
See you in the next update!