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Short Trade on QTUM

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Short Trade on QTUM 22 Sep 2025 at 16:42:55

Take profit at 2.1452 (0.64 %) and Stop Loss at 2.1659 (0.32 %)

Short Trade on QTUM

The 22 Sep 2025 at 16:42:55

With 1155.8248 QTUM at 2.159$ per unit.

Position size of 2495.4257 $

Take profit at 2.1452 (0.64 %) and Stop Loss at 2.1659 (0.32 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.18
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.78
Prediction 3 Probability
1 0.79
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.464669

15m : 0.010227

1H : 0.091847

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.004614309605
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 2.159
  4. ema21 : 2.19927
  5. ema50 : 2.27313
  6. ema100 : 2.3389
  7. price_ema9_diff : -1.31928E-6
  8. ema9_ema21_diff : -0.0183118
  9. ema21_ema50_diff : -0.032491
  10. price_ema100_diff : -0.0769171
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.289481
  14. ema_slope_21 : -0.330551
  15. ema_slope_50 : -0.250859
  16. ema_slope_100 : -0.170024
  17. rsi : 0.323135
  18. adx : 0.723141
  19. kc_percentage : 0.113821
  20. kc_width_percentage : 0.0442288
  21. volume_ema_diff : -0.67261
  22. volume_ema1 : 57386.273022712
  23. volume_ema2 : 175284.13849185
  24. chop : 63.4875
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 2.14855
  28. ema21 : 2.15162
  29. ema50 : 2.17199
  30. ema100 : 2.21346
  31. price_ema9_diff : 0.00485923
  32. ema9_ema21_diff : -0.00142644
  33. ema21_ema50_diff : -0.00937759
  34. price_ema100_diff : -0.0246061
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0159103
  38. ema_slope_21 : -0.0333203
  39. ema_slope_50 : -0.0573446
  40. ema_slope_100 : -0.0667169
  41. rsi : 0.547124
  42. adx : 0.376035
  43. kc_percentage : 0.722164
  44. kc_width_percentage : 0.0162544
  45. volume_ema_diff : -0.686003
  46. volume_ema1 : 10649.380700348
  47. volume_ema2 : 33915.561792171
  48. chop : 51.2479
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 2.15201
  52. ema21 : 2.14818
  53. ema50 : 2.1496
  54. ema100 : 2.15454
  55. price_ema9_diff : 0.00324808
  56. ema9_ema21_diff : 0.00178146
  57. ema21_ema50_diff : -0.000660146
  58. price_ema100_diff : 0.00206969
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0327922
  62. ema_slope_21 : 0.00634257
  63. ema_slope_50 : -0.00594628
  64. ema_slope_100 : -0.00849948
  65. rsi : 0.651274
  66. adx : 0.227042
  67. kc_percentage : 1.07217
  68. kc_width_percentage : 0.00868002
  69. volume_ema_diff : -0.803613
  70. volume_ema1 : 944.24055296297
  71. volume_ema2 : 4808.0720834065
  72. chop : 23.3377
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112494
  77. 5m_price_ema100_diff: 
    0.000488424
  78. 5m_price: 
    112549
  79. 5m_correlation_with_coin: 
    0.464669
  80. btc_indicators
  81. 15m_ema100: 
    113332
  82. 15m_price_ema100_diff: 
    -0.00701843
  83. 15m_price: 
    112537
  84. 15m_correlation_with_coin: 
    0.010227
  85. btc_indicators
  86. 1H_ema100: 
    115046
  87. 1H_price_ema100_diff: 
    -0.0217062
  88. 1H_price: 
    112549
  89. 1H_correlation_with_coin: 
    0.091847
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:42:55		 22 Sep 2025
17:35:00		 52 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.159 2.1659 2.1452 2 0.931
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 2.159
  • Stop Loss: 2.1659
  • Take Profit: 2.1452

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.1659 - 2.159 = 0.0069000000000004

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.159 - 2.1452 = 0.0138

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0138 / 0.0069000000000004 = 2

📌 Position Size

Amount Margin Quantity Leverage
2495.4257 100 1155.8248 24.95
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 0.0069000000000004

Taille de position = 8 / 0.0069000000000004 = 1159.42

Taille de position USD = 1159.42 x 2.159 = 2503.19

Donc, tu peux acheter 1159.42 avec un stoploss a 2.1659

Avec un position size USD de 2503.19$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1159.42 x 0.0069000000000004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1159.42 x 0.0138 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1159.42
  • Taille de position USD 2503.19
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.64 % 15.95 $
SL % Target SL $ Target
0.32 % 7.98 $
PNL PNL %
-7.98 $ -0.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3705 % 115.93 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.1452
            [entry_price] => 2.159
            [stop_loss] => 2.16659
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.1452
            [entry_price] => 2.159
            [stop_loss] => 2.16728
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.1452
            [entry_price] => 2.159
            [stop_loss] => 2.16797
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.1452
            [entry_price] => 2.159
            [stop_loss] => 2.16935
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 19:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0019999999999998
            [max_drawdown] => 0.0090000000000003
            [rr_ratio] => 0.22
            [high] => 2.16800000
            [low] => 2.15700000
            [mfe_pct] => 0.09
            [mae_pct] => 0.42
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:42:55-04:00
            [end_at] => 2025-09-22T18:42:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.03
            [max_drawdown] => 0.018
            [rr_ratio] => 1.67
            [high] => 2.17700000
            [low] => 2.12900000
            [mfe_pct] => 1.39
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 1.67
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:42:55-04:00
            [end_at] => 2025-09-22T23:42:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.16200000
            [high_after] => 2.17700000
            [low_before] => 2.12800000
            [low_after] => 2.14200000
            [is_new_high] => 
            [is_new_low] => 
        )

)