Short Trade on QTUM 09 Sep 2025 at 16:57:56

Take profit at 2.5918 (0.54 %) and Stop Loss at 2.6131 (0.27 %)

Short Trade on QTUM

The 09 Sep 2025 at 16:57:56

With 1123.3575 QTUM at 2.606$ per unit.

Position size of 2927.4696 $

Take profit at 2.5918 (0.54 %) and Stop Loss at 2.6131 (0.27 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.51
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.81
Prediction 3 Probability
0 0.61
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high_confirmed

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.75171

15m : -0.122392

1H : 0.160828

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.004747672451
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 2.61322
  4. ema21 : 2.63771
  5. ema50 : 2.65991
  6. ema100 : 2.67112
  7. price_ema9_diff : -0.0027629
  8. ema9_ema21_diff : -0.00928696
  9. ema21_ema50_diff : -0.00834624
  10. price_ema100_diff : -0.0243812
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.222602
  14. ema_slope_21 : -0.139672
  15. ema_slope_50 : -0.0732612
  16. ema_slope_100 : -0.0400754
  17. rsi : 0.369969
  18. adx : 0.201043
  19. kc_percentage : 0.192515
  20. kc_width_percentage : 0.037805
  21. volume_ema_diff : 0.234703
  22. volume_ema1 : 227184.45404756
  23. volume_ema2 : 183999.26327912
  24. regime : bear_high_confirmed
  25. ¸
  26. 15m
  27. ema9 : 2.59531
  28. ema21 : 2.60106
  29. ema50 : 2.6225
  30. ema100 : 2.64244
  31. price_ema9_diff : 0.00411723
  32. ema9_ema21_diff : -0.00221097
  33. ema21_ema50_diff : -0.00817528
  34. price_ema100_diff : -0.0137912
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0126473
  38. ema_slope_21 : -0.0454701
  39. ema_slope_50 : -0.0552173
  40. ema_slope_100 : -0.0412218
  41. rsi : 0.46788
  42. adx : 0.390325
  43. kc_percentage : 0.654227
  44. kc_width_percentage : 0.0141211
  45. volume_ema_diff : -0.445116
  46. volume_ema1 : 25688.059429319
  47. volume_ema2 : 46294.493359428
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 2.59767
  52. ema21 : 2.5954
  53. ema50 : 2.59725
  54. ema100 : 2.60629
  55. price_ema9_diff : 0.00320311
  56. ema9_ema21_diff : 0.000876999
  57. ema21_ema50_diff : -0.000713148
  58. price_ema100_diff : -0.000114585
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.00649749
  62. ema_slope_21 : 0.00266263
  63. ema_slope_50 : -0.00468603
  64. ema_slope_100 : -0.0101658
  65. rsi : 0.636936
  66. adx : 0.173365
  67. kc_percentage : 1.0578
  68. kc_width_percentage : 0.00723587
  69. volume_ema_diff : 1.72735
  70. volume_ema1 : 56691.523910441
  71. volume_ema2 : 20786.247406314
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111449
  77. 5m_price_ema100_diff:
    0.000165747
  78. 5m_price:
    111467
  79. 5m_correlation_with_coin:
    0.75171
  80. btc_indicators
  81. 15m_ema100:
    111836
  82. 15m_price_ema100_diff:
    -0.00395045
  83. 15m_price:
    111394
  84. 15m_correlation_with_coin:
    -0.122392
  85. btc_indicators
  86. 1H_ema100:
    111403
  87. 1H_price_ema100_diff:
    0.000580216
  88. 1H_price:
    111467
  89. 1H_correlation_with_coin:
    0.160828
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
16:57:56
09 Sep 2025
17:10:00
12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.606 2.6131 2.5918 2 0.945
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 2.606
  • Stop Loss: 2.6131
  • Take Profit: 2.5918

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6131 - 2.606 = 0.0071000000000003

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.606 - 2.5918 = 0.0142

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0142 / 0.0071000000000003 = 2

📌 Position Size

Amount Margin Quantity Leverage
2927.4696 100 1123.3575 29.27
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 0.0071000000000003

Taille de position = 8 / 0.0071000000000003 = 1126.76

Taille de position USD = 1126.76 x 2.606 = 2936.34

Donc, tu peux acheter 1126.76 avec un stoploss a 2.6131

Avec un position size USD de 2936.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1126.76 x 0.0071000000000003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1126.76 x 0.0142 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1126.76
  • Taille de position USD 2936.34
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.54 % 15.95 $
SL % Target SL $ Target
0.27 % 7.98 $
PNL PNL %
-7.98 $ -0.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4605 % 169.05 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.5918
            [entry_price] => 2.606
            [stop_loss] => 2.61381
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 17:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.5918
            [entry_price] => 2.606
            [stop_loss] => 2.61452
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 17:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.5918
            [entry_price] => 2.606
            [stop_loss] => 2.61523
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 17:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.5918
            [entry_price] => 2.606
            [stop_loss] => 2.61665
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 17:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.004
            [max_drawdown] => 0.032
            [rr_ratio] => 0.13
            [high] => 2.63800000
            [low] => 2.60200000
            [mfe_pct] => 0.15
            [mae_pct] => 1.23
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T16:57:56-04:00
            [end_at] => 2025-09-09T18:57:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.022
            [max_drawdown] => 0.033
            [rr_ratio] => 0.67
            [high] => 2.63900000
            [low] => 2.58400000
            [mfe_pct] => 0.84
            [mae_pct] => 1.27
            [mfe_mae_ratio] => 0.67
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T16:57:56-04:00
            [end_at] => 2025-09-09T23:57:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.61400000
            [high_after] => 2.63900000
            [low_before] => 2.58400000
            [low_after] => 2.58400000
            [is_new_high] => 
            [is_new_low] => 
        )

)