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Short Trade on QTUM

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Short Trade on QTUM 11 Oct 2025 at 01:00:27

Take profit at 1.8418 (1.82 %) and Stop Loss at 1.8931 (0.91 %)

Short Trade on QTUM

The 11 Oct 2025 at 01:00:27

With 468.2427 QTUM at 1.876$ per unit.

Position size of 878.4234 $

Take profit at 1.8418 (1.82 %) and Stop Loss at 1.8931 (0.91 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.08
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
1 0.71
Prediction 3 Probability
0 0.77
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_medium
BTC Correlation Score

5m : 0.548501

15m : -0.04657

1H : -0.036319

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.01139010365
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 1.89618
  4. ema21 : 2.0308
  5. ema50 : 2.16673
  6. ema100 : 2.22181
  7. price_ema9_diff : -0.010643
  8. ema9_ema21_diff : -0.0662906
  9. ema21_ema50_diff : -0.0627339
  10. price_ema100_diff : -0.155646
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -1.5877
  14. ema_slope_21 : -1.12242
  15. ema_slope_50 : -0.591284
  16. ema_slope_100 : -0.310583
  17. rsi : 0.361536
  18. adx : 0.495562
  19. kc_percentage : 0.163241
  20. kc_width_percentage : 0.230862
  21. volume_ema_diff : -0.509921
  22. volume_ema1 : 324197.13193477
  23. volume_ema2 : 661521.4769993
  24. chop : 4.86166
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 1.85313
  28. ema21 : 1.85247
  29. ema50 : 1.94678
  30. ema100 : 2.07703
  31. price_ema9_diff : 0.0123366
  32. ema9_ema21_diff : 0.000356302
  33. ema21_ema50_diff : -0.0484425
  34. price_ema100_diff : -0.0967905
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.210282
  38. ema_slope_21 : 0.00146458
  39. ema_slope_50 : -0.244042
  40. ema_slope_100 : -0.238783
  41. rsi : 0.514731
  42. adx : 0.337363
  43. kc_percentage : 0.708941
  44. kc_width_percentage : 0.0641566
  45. volume_ema_diff : -0.897466
  46. volume_ema1 : 21280.520371219
  47. volume_ema2 : 207546.66058433
  48. chop : 74.773
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 1.85974
  52. ema21 : 1.84993
  53. ema50 : 1.84289
  54. ema100 : 1.88122
  55. price_ema9_diff : 0.00873991
  56. ema9_ema21_diff : 0.00530421
  57. ema21_ema50_diff : 0.00381767
  58. price_ema100_diff : -0.00277641
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.116343
  62. ema_slope_21 : 0.0708133
  63. ema_slope_50 : 0.0346374
  64. ema_slope_100 : -0.0318796
  65. rsi : 0.644432
  66. adx : 0.13803
  67. kc_percentage : 1.11703
  68. kc_width_percentage : 0.0220155
  69. volume_ema_diff : -0.851232
  70. volume_ema1 : 4416.6677318425
  71. volume_ema2 : 29688.476932205
  72. chop : 49.1677
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112944
  77. 5m_price_ema100_diff: 
    -0.000473857
  78. 5m_price: 
    112891
  79. 5m_correlation_with_coin: 
    0.548501
  80. btc_indicators
  81. 15m_ema100: 
    116260
  82. 15m_price_ema100_diff: 
    -0.0289782
  83. 15m_price: 
    112891
  84. 15m_correlation_with_coin: 
    -0.04657
  85. btc_indicators
  86. 1H_ema100: 
    120227
  87. 1H_price_ema100_diff: 
    -0.0610219
  88. 1H_price: 
    112891
  89. 1H_correlation_with_coin: 
    -0.036319
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
01:00:27		 11 Oct 2025
01:05:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.876 1.8931 1.8418 2 0.925
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 1.876
  • Stop Loss: 1.8931
  • Take Profit: 1.8418

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8931 - 1.876 = 0.0171

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.876 - 1.8418 = 0.0342

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0342 / 0.0171 = 2

📌 Position Size

Amount Margin Quantity Leverage
878.4234 100 468.2427 8.78
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 0.0171

Taille de position = 8 / 0.0171 = 467.84

Taille de position USD = 467.84 x 1.876 = 877.67

Donc, tu peux acheter 467.84 avec un stoploss a 1.8931

Avec un position size USD de 877.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 467.84 x 0.0171 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 467.84 x 0.0342 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 467.84
  • Taille de position USD 877.67
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.82 % 16.01 $
SL % Target SL $ Target
0.91 % 8.01 $
PNL PNL %
-8.01 $ -0.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.226 % 134.5 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.8418
            [entry_price] => 1.876
            [stop_loss] => 1.89481
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 01:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.8418
            [entry_price] => 1.876
            [stop_loss] => 1.89652
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 01:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.8418
            [entry_price] => 1.876
            [stop_loss] => 1.89823
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 01:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.8418
            [entry_price] => 1.876
            [stop_loss] => 1.90165
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 04:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.026
            [max_drawdown] => 0.023
            [rr_ratio] => 1.13
            [high] => 1.89900000
            [low] => 1.85000000
            [mfe_pct] => 1.39
            [mae_pct] => 1.23
            [mfe_mae_ratio] => 1.13
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T01:00:27-04:00
            [end_at] => 2025-10-11T03:00:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.026
            [max_drawdown] => 0.09
            [rr_ratio] => 0.29
            [high] => 1.96600000
            [low] => 1.85000000
            [mfe_pct] => 1.39
            [mae_pct] => 4.8
            [mfe_mae_ratio] => 0.29
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T01:00:27-04:00
            [end_at] => 2025-10-11T08:00:27-04:00
        )

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

)