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Short Trade on QTUM

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Short Trade on QTUM 09 Sep 2025 at 17:18:31

Take profit at 2.6016 (0.59 %) and Stop Loss at 2.6247 (0.29 %)

Short Trade on QTUM

The 09 Sep 2025 at 17:18:31

With 1035.8544 QTUM at 2.617$ per unit.

Position size of 2710.831 $

Take profit at 2.6016 (0.59 %) and Stop Loss at 2.6247 (0.29 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.44
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.5
Prediction 2 Probability
0 0.62
Prediction 3 Probability
1 0.61
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.751552

15m : -0.043732

1H : 0.01629

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 0.005148728692
Details
  1. score: 1.23
  2. 1H
  3. ema9 : 2.61365
  4. ema21 : 2.63566
  5. ema50 : 2.65859
  6. ema100 : 2.67326
  7. price_ema9_diff : 0.00127941
  8. ema9_ema21_diff : -0.00835216
  9. ema21_ema50_diff : -0.00862415
  10. price_ema100_diff : -0.0210463
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.215843
  14. ema_slope_21 : -0.144193
  15. ema_slope_50 : -0.0786357
  16. ema_slope_100 : -0.0456974
  17. rsi : 0.413716
  18. adx : 0.196326
  19. kc_percentage : 0.320453
  20. kc_width_percentage : 0.0367858
  21. volume_ema_diff : -0.0646669
  22. volume_ema1 : 169685.11809838
  23. volume_ema2 : 181416.77995258
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 2.60414
  27. ema21 : 2.60438
  28. ema50 : 2.62211
  29. ema100 : 2.63985
  30. price_ema9_diff : 0.00493625
  31. ema9_ema21_diff : -9.24347E-5
  32. ema21_ema50_diff : -0.0067601
  33. price_ema100_diff : -0.00865677
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0223939
  37. ema_slope_21 : -0.0226678
  38. ema_slope_50 : -0.0439672
  39. ema_slope_100 : -0.0348253
  40. rsi : 0.553827
  41. adx : 0.348107
  42. kc_percentage : 0.821444
  43. kc_width_percentage : 0.0155399
  44. volume_ema_diff : 0.0876239
  45. volume_ema1 : 58158.220627845
  46. volume_ema2 : 53472.728027423
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 2.60792
  50. ema21 : 2.6014
  51. ema50 : 2.59982
  52. ema100 : 2.60764
  53. price_ema9_diff : 0.00348015
  54. ema9_ema21_diff : 0.00250636
  55. ema21_ema50_diff : 0.00060633
  56. price_ema100_diff : 0.00358922
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0510055
  60. ema_slope_21 : 0.0269441
  61. ema_slope_50 : 0.00733656
  62. ema_slope_100 : -0.00411472
  63. rsi : 0.685361
  64. adx : 0.252237
  65. kc_percentage : 1.22511
  66. kc_width_percentage : 0.00805739
  67. volume_ema_diff : 0.175761
  68. volume_ema1 : 22627.954918112
  69. volume_ema2 : 19245.366182648
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    111445
  74. 5m_price_ema100_diff: 
    0.000540408
  75. 5m_price: 
    111505
  76. 5m_correlation_with_coin: 
    0.751552
  77. btc_indicators
  78. 15m_ema100: 
    111804
  79. 15m_price_ema100_diff: 
    -0.00267774
  80. 15m_price: 
    111505
  81. 15m_correlation_with_coin: 
    -0.043732
  82. btc_indicators
  83. 1H_ema100: 
    111483
  84. 1H_price_ema100_diff: 
    0.000201353
  85. 1H_price: 
    111505
  86. 1H_correlation_with_coin: 
    0.01629
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
17:18:31		 09 Sep 2025
18:30:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.617 2.6247 2.6016 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 2.617
  • Stop Loss: 2.6247
  • Take Profit: 2.6016

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6247 - 2.617 = 0.0076999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.617 - 2.6016 = 0.0154

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0154 / 0.0076999999999998 = 2

📌 Position Size

Amount Margin Quantity Leverage
2710.831 100 1035.8544 27.11
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 0.0076999999999998

Taille de position = 8 / 0.0076999999999998 = 1038.96

Taille de position USD = 1038.96 x 2.617 = 2718.96

Donc, tu peux acheter 1038.96 avec un stoploss a 2.6247

Avec un position size USD de 2718.96$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1038.96 x 0.0076999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1038.96 x 0.0154 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1038.96
  • Taille de position USD 2718.96
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.59 % 15.95 $
SL % Target SL $ Target
0.29 % 7.98 $
PNL PNL %
-7.98 $ -0.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3057 % 103.91 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.6016
            [entry_price] => 2.617
            [stop_loss] => 2.62547
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 18:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.6016
            [entry_price] => 2.617
            [stop_loss] => 2.62624
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 18:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.6016
            [entry_price] => 2.617
            [stop_loss] => 2.62701
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 18:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.6016
            [entry_price] => 2.617
            [stop_loss] => 2.62855
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 18:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.015
            [max_drawdown] => 0.022
            [rr_ratio] => 0.68
            [high] => 2.63900000
            [low] => 2.60200000
            [mfe_pct] => 0.57
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 0.68
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T17:18:31-04:00
            [end_at] => 2025-09-09T19:18:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.033
            [max_drawdown] => 0.022
            [rr_ratio] => 1.5
            [high] => 2.63900000
            [low] => 2.58400000
            [mfe_pct] => 1.26
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 1.5
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T17:18:31-04:00
            [end_at] => 2025-09-10T00:18:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.62100000
            [high_after] => 2.63900000
            [low_before] => 2.58400000
            [low_after] => 2.58400000
            [is_new_high] => 
            [is_new_low] => 
        )

)