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Short Trade on QTUM

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Short Trade on QTUM 11 Oct 2025 at 05:19:53

Take profit at 1.914 (1.75 %) and Stop Loss at 1.965 (0.87 %)

Short Trade on QTUM

The 11 Oct 2025 at 05:19:53

With 471.0867 QTUM at 1.948$ per unit.

Position size of 917.6769 $

Take profit at 1.914 (1.75 %) and Stop Loss at 1.965 (0.87 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 3.53
Prediction Score: 6
Prediction 1 Probability
Strong Trade
0.82
Prediction 2 Probability
1 0.57
Prediction 3 Probability
1 0.58
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.606968

15m : 0.044949

1H : -0.031044

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.01132134069
Details
  1. score: 1.18
  2. 1H
  3. ema9 : 1.90677
  4. ema21 : 1.99215
  5. ema50 : 2.12782
  6. ema100 : 2.19445
  7. price_ema9_diff : 0.0216188
  8. ema9_ema21_diff : -0.0428544
  9. ema21_ema50_diff : -0.0637634
  10. price_ema100_diff : -0.112309
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.953252
  14. ema_slope_21 : -0.970247
  15. ema_slope_50 : -0.599662
  16. ema_slope_100 : -0.334053
  17. rsi : 0.431252
  18. adx : 0.500655
  19. kc_percentage : 0.396987
  20. kc_width_percentage : 0.182597
  21. volume_ema_diff : -0.614015
  22. volume_ema1 : 232161.56032621
  23. volume_ema2 : 601479.03081089
  24. chop : 13.5676
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 1.91659
  28. ema21 : 1.89315
  29. ema50 : 1.92159
  30. ema100 : 2.02215
  31. price_ema9_diff : 0.0163844
  32. ema9_ema21_diff : 0.0123846
  33. ema21_ema50_diff : -0.014803
  34. price_ema100_diff : -0.0366699
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.226422
  38. ema_slope_21 : 0.151703
  39. ema_slope_50 : -0.0469611
  40. ema_slope_100 : -0.132025
  41. rsi : 0.642442
  42. adx : 0.184305
  43. kc_percentage : 1.08446
  44. kc_width_percentage : 0.0473145
  45. volume_ema_diff : -0.541671
  46. volume_ema1 : 61375.192609096
  47. volume_ema2 : 133910.79960947
  48. chop : 52.3689
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 1.93616
  52. ema21 : 1.91531
  53. ema50 : 1.89202
  54. ema100 : 1.87196
  55. price_ema9_diff : 0.00611031
  56. ema9_ema21_diff : 0.0108856
  57. ema21_ema50_diff : 0.0123136
  58. price_ema100_diff : 0.0406194
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.256324
  62. ema_slope_21 : 0.173518
  63. ema_slope_50 : 0.104539
  64. ema_slope_100 : 0.0691381
  65. rsi : 0.726299
  66. adx : 0.364966
  67. kc_percentage : 1.17839
  68. kc_width_percentage : 0.023764
  69. volume_ema_diff : 0.432449
  70. volume_ema1 : 29992.070074069
  71. volume_ema2 : 20937.611132976
  72. chop : 18.6515
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111657
  77. 5m_price_ema100_diff: 
    -0.00116602
  78. 5m_price: 
    111527
  79. 5m_correlation_with_coin: 
    0.606968
  80. btc_indicators
  81. 15m_ema100: 
    114862
  82. 15m_price_ema100_diff: 
    -0.0290363
  83. 15m_price: 
    111527
  84. 15m_correlation_with_coin: 
    0.044949
  85. btc_indicators
  86. 1H_ema100: 
    119479
  87. 1H_price_ema100_diff: 
    -0.0665613
  88. 1H_price: 
    111527
  89. 1H_correlation_with_coin: 
    -0.031044
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
05:19:53		 11 Oct 2025
05:25:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.948 1.965 1.914 2 0.936
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 1.948
  • Stop Loss: 1.965
  • Take Profit: 1.914

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.965 - 1.948 = 0.017

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.948 - 1.914 = 0.034

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.034 / 0.017 = 2

📌 Position Size

Amount Margin Quantity Leverage
917.6769 100 471.0867 9.18
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 0.017

Taille de position = 8 / 0.017 = 470.59

Taille de position USD = 470.59 x 1.948 = 916.71

Donc, tu peux acheter 470.59 avec un stoploss a 1.965

Avec un position size USD de 916.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 470.59 x 0.017 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 470.59 x 0.034 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 470.59
  • Taille de position USD 916.71
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.75 % 16.02 $
SL % Target SL $ Target
0.87 % 8.01 $
PNL PNL %
-8.01 $ -0.87
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.924 % 105.88 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.914
            [entry_price] => 1.948
            [stop_loss] => 1.9667
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 08:30:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 1.914
            [entry_price] => 1.948
            [stop_loss] => 1.9684
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 08:30:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 1.914
            [entry_price] => 1.948
            [stop_loss] => 1.9701
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 08:30:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 1.914
            [entry_price] => 1.948
            [stop_loss] => 1.9735
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 08:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.027
            [max_drawdown] => 0.018
            [rr_ratio] => 1.5
            [high] => 1.96600000
            [low] => 1.92100000
            [mfe_pct] => 1.39
            [mae_pct] => 0.92
            [mfe_mae_ratio] => 1.5
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T05:19:53-04:00
            [end_at] => 2025-10-11T07:19:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.07
            [max_drawdown] => 0.018
            [rr_ratio] => 3.89
            [high] => 1.96600000
            [low] => 1.87800000
            [mfe_pct] => 3.59
            [mae_pct] => 0.92
            [mfe_mae_ratio] => 3.89
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T05:19:53-04:00
            [end_at] => 2025-10-11T12:19:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.96400000
            [high_after] => 1.96600000
            [low_before] => 1.85000000
            [low_after] => 1.87800000
            [is_new_high] => 
            [is_new_low] => 
        )

)