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Short Trade on QTUM

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Short Trade on QTUM 11 Oct 2025 at 01:09:57

Take profit at 1.8473 (2.16 %) and Stop Loss at 1.9084 (1.08 %)

Short Trade on QTUM

The 11 Oct 2025 at 01:09:57

With 392.8468 QTUM at 1.888$ per unit.

Position size of 741.6947 $

Take profit at 1.8473 (2.16 %) and Stop Loss at 1.9084 (1.08 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.09
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.65
Prediction 2 Probability
1 0.59
Prediction 3 Probability
0 0.68
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high
BTC Correlation Score

5m : 0.545418

15m : -0.04318

1H : 0.02189

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.01357611612
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 1.89858
  4. ema21 : 2.03189
  5. ema50 : 2.1672
  6. ema100 : 2.22205
  7. price_ema9_diff : -0.00557322
  8. ema9_ema21_diff : -0.0656107
  9. ema21_ema50_diff : -0.0624341
  10. price_ema100_diff : -0.150336
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -1.57916
  14. ema_slope_21 : -1.11855
  15. ema_slope_50 : -0.589602
  16. ema_slope_100 : -0.309725
  17. rsi : 0.371238
  18. adx : 0.490923
  19. kc_percentage : 0.196985
  20. kc_width_percentage : 0.235963
  21. volume_ema_diff : -0.455376
  22. volume_ema1 : 362750.57140144
  23. volume_ema2 : 666057.17576008
  24. chop : 4.92579
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 1.85553
  28. ema21 : 1.85356
  29. ema50 : 1.94725
  30. ema100 : 2.07727
  31. price_ema9_diff : 0.0174944
  32. ema9_ema21_diff : 0.00106234
  33. ema21_ema50_diff : -0.0481123
  34. price_ema100_diff : -0.091117
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.221347
  38. ema_slope_21 : 0.00637287
  39. ema_slope_50 : -0.242087
  40. ema_slope_100 : -0.237857
  41. rsi : 0.531536
  42. adx : 0.32963
  43. kc_percentage : 0.771207
  44. kc_width_percentage : 0.0703167
  45. volume_ema_diff : -0.717873
  46. volume_ema1 : 59833.959837886
  47. volume_ema2 : 212082.35934511
  48. chop : 65.1174
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 1.86891
  52. ema21 : 1.8552
  53. ema50 : 1.8447
  54. ema100 : 1.87596
  55. price_ema9_diff : 0.0102108
  56. ema9_ema21_diff : 0.0073887
  57. ema21_ema50_diff : 0.00569237
  58. price_ema100_diff : 0.00641523
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.155362
  62. ema_slope_21 : 0.0937169
  63. ema_slope_50 : 0.0483583
  64. ema_slope_100 : -0.0180223
  65. rsi : 0.650799
  66. adx : 0.175301
  67. kc_percentage : 1.09811
  68. kc_width_percentage : 0.0283557
  69. volume_ema_diff : -0.155758
  70. volume_ema1 : 31018.471599006
  71. volume_ema2 : 36741.22083616
  72. chop : 32.9768
  73. regime : bull_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112728
  77. 5m_price_ema100_diff: 
    -0.000867771
  78. 5m_price: 
    112631
  79. 5m_correlation_with_coin: 
    0.545418
  80. btc_indicators
  81. 15m_ema100: 
    116255
  82. 15m_price_ema100_diff: 
    -0.031175
  83. 15m_price: 
    112631
  84. 15m_correlation_with_coin: 
    -0.04318
  85. btc_indicators
  86. 1H_ema100: 
    120222
  87. 1H_price_ema100_diff: 
    -0.0631476
  88. 1H_price: 
    112631
  89. 1H_correlation_with_coin: 
    0.02189
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
01:09:57		 11 Oct 2025
04:35:00		 3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.888 1.9084 1.8473 2 0.924
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 1.888
  • Stop Loss: 1.9084
  • Take Profit: 1.8473

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.9084 - 1.888 = 0.0204

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.888 - 1.8473 = 0.0407

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0407 / 0.0204 = 1.9951

📌 Position Size

Amount Margin Quantity Leverage
741.6947 100 392.8468 7.42
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 0.0204

Taille de position = 8 / 0.0204 = 392.16

Taille de position USD = 392.16 x 1.888 = 740.4

Donc, tu peux acheter 392.16 avec un stoploss a 1.9084

Avec un position size USD de 740.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 392.16 x 0.0204 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 392.16 x 0.0407 = 15.96

Si Take Profit atteint, tu gagneras 15.96$

Résumé

  • Taille de position 392.16
  • Taille de position USD 740.4
  • Perte potentielle 8
  • Gain potentiel 15.96
  • Risk-Reward Ratio 1.9951

📌 Peformances

TP % Target TP $ Target
2.16 % 15.99 $
SL % Target SL $ Target
1.08 % 8.01 $
PNL PNL %
-8.01 $ -1.08
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1123 % 102.94 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.8473
            [entry_price] => 1.888
            [stop_loss] => 1.91044
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 04:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.8473
            [entry_price] => 1.888
            [stop_loss] => 1.91248
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 04:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.8473
            [entry_price] => 1.888
            [stop_loss] => 1.91452
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 04:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.8473
            [entry_price] => 1.888
            [stop_loss] => 1.9186
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 04:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.038
            [max_drawdown] => 0.008
            [rr_ratio] => 4.75
            [high] => 1.89600000
            [low] => 1.85000000
            [mfe_pct] => 2.01
            [mae_pct] => 0.42
            [mfe_mae_ratio] => 4.75
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T01:09:57-04:00
            [end_at] => 2025-10-11T03:09:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.038
            [max_drawdown] => 0.078
            [rr_ratio] => 0.49
            [high] => 1.96600000
            [low] => 1.85000000
            [mfe_pct] => 2.01
            [mae_pct] => 4.13
            [mfe_mae_ratio] => 0.49
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T01:09:57-04:00
            [end_at] => 2025-10-11T08:09:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.90700000
            [high_after] => 1.96600000
            [low_before] => 1.77500000
            [low_after] => 1.85000000
            [is_new_high] => 
            [is_new_low] => 
        )

)