Short Trade on QTUM 01 Sep 2025 at 05:34:10

Take profit at 2.6972 (1.27 %) and Stop Loss at 2.7552 (0.85 %)

Short Trade on QTUM

The 01 Sep 2025 at 05:34:10

With 344.8255 QTUM at 2.732$ per unit.

Position size of 942.0632 $

Take profit at 2.6972 (1.27 %) and Stop Loss at 2.7552 (0.85 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 120
ML Pullback Score: 8
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.98
Prediction 2 Probability
0 0.76
Prediction 3 Probability
0 0.86
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : range_medium

rules_regime_5m : bull_low

BTC Correlation Score

5m : 0.304893

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.015466762
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 2.69629
  4. ema21 : 2.73509
  5. ema50 : 2.78846
  6. ema100 : 2.81379
  7. price_ema9_diff : 0.0132408
  8. ema9_ema21_diff : -0.014183
  9. ema21_ema50_diff : -0.0191423
  10. price_ema100_diff : -0.0290688
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.477226
  14. adx : 0.280065
  15. kc_percentage : 0.499953
  16. kc_width_percentage : 0.0858522
  17. volume_ema_diff : -0.161869
  18. volume_ema1 : 866198.71466132
  19. volume_ema2 : 1033489.1729268
  20. ¸
  21. 15m
  22. ema9 : 2.69122
  23. ema21 : 2.67852
  24. ema50 : 2.70415
  25. ema100 : 2.74113
  26. price_ema9_diff : 0.0151513
  27. ema9_ema21_diff : 0.00474263
  28. ema21_ema50_diff : -0.00947995
  29. price_ema100_diff : -0.00333245
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.619167
  33. adx : 0.261034
  34. kc_percentage : 0.989166
  35. kc_width_percentage : 0.0403064
  36. volume_ema_diff : -0.269434
  37. volume_ema1 : 189844.13564055
  38. volume_ema2 : 259859.12782649
  39. ¸
  40. 5m
  41. ema9 : 2.71221
  42. ema21 : 2.68939
  43. ema50 : 2.67379
  44. ema100 : 2.6985
  45. price_ema9_diff : 0.00729598
  46. ema9_ema21_diff : 0.00848511
  47. ema21_ema50_diff : 0.00583418
  48. price_ema100_diff : 0.0124117
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.705256
  52. adx : 0.49762
  53. kc_percentage : 1.14721
  54. kc_width_percentage : 0.0232304
  55. volume_ema_diff : 0.214097
  56. volume_ema1 : 95639.987545115
  57. volume_ema2 : 78774.559145859
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    108485
  62. 5m_price_ema100_diff:
    0.0119863
  63. 5m_price:
    109785
  64. 5m_correlation_with_coin:
    0.304893
  65. btc_indicators
  66. 15m_ema100:
    108533
  67. 15m_price_ema100_diff:
    0.0115405
  68. 15m_price:
    109785
  69. btc_indicators
  70. 1H_ema100:
    109550
  71. 1H_price_ema100_diff:
    0.00214705
  72. 1H_price:
    109785
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
05:34:10
01 Sep 2025
06:25:00
50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.732 2.7552 2.6972 1.5 0.939
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 2.732
  • Stop Loss: 2.7552
  • Take Profit: 2.6972

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.7552 - 2.732 = 0.0232

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.732 - 2.6972 = 0.0348

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0348 / 0.0232 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
942.0632 100 344.8255 9.42
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.0232

Taille de position = 8 / 0.0232 = 344.83

Taille de position USD = 344.83 x 2.732 = 942.08

Donc, tu peux acheter 344.83 avec un stoploss a 2.7552

Avec un position size USD de 942.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 344.83 x 0.0232 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 344.83 x 0.0348 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 344.83
  • Taille de position USD 942.08
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.27 % 12 $
SL % Target SL $ Target
0.85 % 8 $
PNL PNL %
12 $ 1.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1098 % 12.93 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.6856
            [stop_loss] => 2.7552
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 06:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.674
            [stop_loss] => 2.7552
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 06:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.6624
            [stop_loss] => 2.7552
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 07:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.6508
            [stop_loss] => 2.7552
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 07:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.6392
            [stop_loss] => 2.7552
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 08:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.6276
            [stop_loss] => 2.7552
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 09:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.616
            [stop_loss] => 2.7552
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 09:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.6044
            [stop_loss] => 2.7552
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 09:35:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.5928
            [stop_loss] => 2.7552
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 10:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.065
            [max_drawdown] => 0.0029999999999997
            [rr_ratio] => 21.67
            [high] => 2.73500000
            [low] => 2.66700000
            [mfe_pct] => 2.38
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 21.67
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T05:34:10-04:00
            [end_at] => 2025-09-01T07:34:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.15
            [max_drawdown] => 0.0029999999999997
            [rr_ratio] => 50
            [high] => 2.73500000
            [low] => 2.58200000
            [mfe_pct] => 5.49
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 50
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T05:34:10-04:00
            [end_at] => 2025-09-01T12:34:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.74900000
            [high_after] => 2.73500000
            [low_before] => 2.57800000
            [low_after] => 2.59100000
            [is_new_high] => 
            [is_new_low] => 
        )

)