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Short Trade on QTUM

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Short Trade on QTUM 11 Oct 2025 at 11:08:22

Take profit at 1.9037 (1.26 %) and Stop Loss at 1.9401 (0.63 %)

Short Trade on QTUM

The 11 Oct 2025 at 11:08:22

With 659.6871 QTUM at 1.928$ per unit.

Position size of 1271.8767 $

Take profit at 1.9037 (1.26 %) and Stop Loss at 1.9401 (0.63 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -80
ML Pullback Score: 6.81
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.98
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.7
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.502468

15m : -0.063212

1H : 0.063863

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.008084641232
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 1.91746
  4. ema21 : 1.96139
  5. ema50 : 2.08408
  6. ema100 : 2.16554
  7. price_ema9_diff : 0.00549565
  8. ema9_ema21_diff : -0.0223963
  9. ema21_ema50_diff : -0.0588724
  10. price_ema100_diff : -0.109691
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.0433768
  14. ema_slope_21 : -0.411646
  15. ema_slope_50 : -0.405959
  16. ema_slope_100 : -0.258747
  17. rsi : 0.430514
  18. adx : 0.48281
  19. kc_percentage : 0.388716
  20. kc_width_percentage : 0.131154
  21. volume_ema_diff : -0.800137
  22. volume_ema1 : 99509.074226901
  23. volume_ema2 : 497887.17392122
  24. chop : 74.5149
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 1.91403
  28. ema21 : 1.91532
  29. ema50 : 1.92238
  30. ema100 : 1.98889
  31. price_ema9_diff : 0.00729543
  32. ema9_ema21_diff : -0.00067499
  33. ema21_ema50_diff : -0.00367186
  34. price_ema100_diff : -0.0306154
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0960593
  38. ema_slope_21 : -0.0394303
  39. ema_slope_50 : -0.0309282
  40. ema_slope_100 : -0.0879274
  41. rsi : 0.55433
  42. adx : 0.167909
  43. kc_percentage : 0.683901
  44. kc_width_percentage : 0.0353967
  45. volume_ema_diff : -0.76175
  46. volume_ema1 : 17264.437423507
  47. volume_ema2 : 72463.822200977
  48. chop : 61.5306
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 1.91548
  52. ema21 : 1.9124
  53. ema50 : 1.91458
  54. ema100 : 1.91117
  55. price_ema9_diff : 0.00653183
  56. ema9_ema21_diff : 0.00161143
  57. ema21_ema50_diff : -0.00113681
  58. price_ema100_diff : 0.00880257
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0194342
  62. ema_slope_21 : 0.002324
  63. ema_slope_50 : -0.00874194
  64. ema_slope_100 : -0.000374557
  65. rsi : 0.605605
  66. adx : 0.227841
  67. kc_percentage : 1.01247
  68. kc_width_percentage : 0.0157654
  69. volume_ema_diff : -0.559983
  70. volume_ema1 : 4604.0122531466
  71. volume_ema2 : 10463.281851822
  72. chop : 51.5013
  73. regime : range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111934
  77. 5m_price_ema100_diff: 
    0.000811613
  78. 5m_price: 
    112025
  79. 5m_correlation_with_coin: 
    0.502468
  80. btc_indicators
  81. 15m_ema100: 
    113820
  82. 15m_price_ema100_diff: 
    -0.015766
  83. 15m_price: 
    112025
  84. 15m_correlation_with_coin: 
    -0.063212
  85. btc_indicators
  86. 1H_ema100: 
    118782
  87. 1H_price_ema100_diff: 
    -0.0568881
  88. 1H_price: 
    112025
  89. 1H_correlation_with_coin: 
    0.063863
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
11:08:22		 11 Oct 2025
13:10:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.928 1.9401 1.9037 2.01 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 1.928
  • Stop Loss: 1.9401
  • Take Profit: 1.9037

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.9401 - 1.928 = 0.0121

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.928 - 1.9037 = 0.0243

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0243 / 0.0121 = 2.0083

📌 Position Size

Amount Margin Quantity Leverage
1271.8767 100 659.6871 12.72
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 0.0121

Taille de position = 8 / 0.0121 = 661.16

Taille de position USD = 661.16 x 1.928 = 1274.72

Donc, tu peux acheter 661.16 avec un stoploss a 1.9401

Avec un position size USD de 1274.72$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 661.16 x 0.0121 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 661.16 x 0.0243 = 16.07

Si Take Profit atteint, tu gagneras 16.07$

Résumé

  • Taille de position 661.16
  • Taille de position USD 1274.72
  • Perte potentielle 8
  • Gain potentiel 16.07
  • Risk-Reward Ratio 2.0083

📌 Peformances

TP % Target TP $ Target
1.26 % 16.03 $
SL % Target SL $ Target
0.63 % 7.98 $
PNL PNL %
-7.98 $ -0.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6743 % 107.44 % 12

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.9037
            [entry_price] => 1.928
            [stop_loss] => 1.94131
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 13:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.9037
            [entry_price] => 1.928
            [stop_loss] => 1.94252
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 13:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.9037
            [entry_price] => 1.928
            [stop_loss] => 1.94373
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 15:00:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 1.9037
            [entry_price] => 1.928
            [stop_loss] => 1.94615
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 15:00:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.016
            [max_drawdown] => 0.012
            [rr_ratio] => 1.33
            [high] => 1.94000000
            [low] => 1.91200000
            [mfe_pct] => 0.83
            [mae_pct] => 0.62
            [mfe_mae_ratio] => 1.33
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T11:08:22-04:00
            [end_at] => 2025-10-11T13:08:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.131
            [max_drawdown] => 0.015
            [rr_ratio] => 8.73
            [high] => 1.94300000
            [low] => 1.79700000
            [mfe_pct] => 6.79
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 8.73
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T11:08:22-04:00
            [end_at] => 2025-10-11T18:08:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.95600000
            [high_after] => 1.94300000
            [low_before] => 1.87800000
            [low_after] => 1.79700000
            [is_new_high] => 
            [is_new_low] => 1
        )

)