Short Trade on QTUM 09 Sep 2025 at 17:05:43

Take profit at 2.5945 (0.52 %) and Stop Loss at 2.6148 (0.26 %)

Short Trade on QTUM

The 09 Sep 2025 at 17:05:43

With 1184.7768 QTUM at 2.608$ per unit.

Position size of 3089.898 $

Take profit at 2.5945 (0.52 %) and Stop Loss at 2.6148 (0.26 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.61
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.81
Prediction 3 Probability
0 0.86
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.745742

15m : 0.080824

1H : -0.033634

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.004501550945
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 2.61185
  4. ema21 : 2.63485
  5. ema50 : 2.65824
  6. ema100 : 2.67308
  7. price_ema9_diff : -0.00147636
  8. ema9_ema21_diff : -0.00872738
  9. ema21_ema50_diff : -0.00880031
  10. price_ema100_diff : -0.024348
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.221433
  14. ema_slope_21 : -0.146735
  15. ema_slope_50 : -0.0797315
  16. ema_slope_100 : -0.0462499
  17. rsi : 0.37883
  18. adx : 0.204058
  19. kc_percentage : 0.220786
  20. kc_width_percentage : 0.0349188
  21. volume_ema_diff : -0.148065
  22. volume_ema1 : 152869.85129838
  23. volume_ema2 : 179438.51327022
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 2.59833
  28. ema21 : 2.60194
  29. ema50 : 2.62182
  30. ema100 : 2.64019
  31. price_ema9_diff : 0.003721
  32. ema9_ema21_diff : -0.00138791
  33. ema21_ema50_diff : -0.00758508
  34. price_ema100_diff : -0.0121941
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00360684
  38. ema_slope_21 : -0.035069
  39. ema_slope_50 : -0.0499605
  40. ema_slope_100 : -0.0377079
  41. rsi : 0.512073
  42. adx : 0.359491
  43. kc_percentage : 0.679168
  44. kc_width_percentage : 0.0143098
  45. volume_ema_diff : 0.277054
  46. volume_ema1 : 69754.297241768
  47. volume_ema2 : 54621.224726285
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 2.60081
  52. ema21 : 2.59727
  53. ema50 : 2.59811
  54. ema100 : 2.60763
  55. price_ema9_diff : 0.00276114
  56. ema9_ema21_diff : 0.00136459
  57. ema21_ema50_diff : -0.000323109
  58. price_ema100_diff : 0.000141496
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0226158
  62. ema_slope_21 : 0.0109534
  63. ema_slope_50 : -0.000838127
  64. ema_slope_100 : -0.00898038
  65. rsi : 0.656838
  66. adx : 0.19553
  67. kc_percentage : 1.10382
  68. kc_width_percentage : 0.00671542
  69. volume_ema_diff : 0.37757
  70. volume_ema1 : 26222.923915752
  71. volume_ema2 : 19035.629755101
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111461
  77. 5m_price_ema100_diff:
    -0.000193382
  78. 5m_price:
    111440
  79. 5m_correlation_with_coin:
    0.745742
  80. btc_indicators
  81. 15m_ema100:
    111825
  82. 15m_price_ema100_diff:
    -0.00344861
  83. 15m_price:
    111440
  84. 15m_correlation_with_coin:
    0.080824
  85. btc_indicators
  86. 1H_ema100:
    111481
  87. 1H_price_ema100_diff:
    -0.000375428
  88. 1H_price:
    111440
  89. 1H_correlation_with_coin:
    -0.033634
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
17:05:43
09 Sep 2025
17:10:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.608 2.6148 2.5945 1.99 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 2.608
  • Stop Loss: 2.6148
  • Take Profit: 2.5945

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6148 - 2.608 = 0.0067999999999997

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.608 - 2.5945 = 0.0135

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0135 / 0.0067999999999997 = 1.9853

📌 Position Size

Amount Margin Quantity Leverage
3089.898 100 1184.7768 30.90
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 0.0067999999999997

Taille de position = 8 / 0.0067999999999997 = 1176.47

Taille de position USD = 1176.47 x 2.608 = 3068.23

Donc, tu peux acheter 1176.47 avec un stoploss a 2.6148

Avec un position size USD de 3068.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1176.47 x 0.0067999999999997 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1176.47 x 0.0135 = 15.88

Si Take Profit atteint, tu gagneras 15.88$

Résumé

  • Taille de position 1176.47
  • Taille de position USD 3068.23
  • Perte potentielle 8
  • Gain potentiel 15.88
  • Risk-Reward Ratio 1.9853

📌 Peformances

TP % Target TP $ Target
0.52 % 15.99 $
SL % Target SL $ Target
0.26 % 8.06 $
PNL PNL %
-8.06 $ -0.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3834 % 147.07 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.5945
            [entry_price] => 2.608
            [stop_loss] => 2.61548
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 17:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.5945
            [entry_price] => 2.608
            [stop_loss] => 2.61616
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 17:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.5945
            [entry_price] => 2.608
            [stop_loss] => 2.61684
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 17:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.5945
            [entry_price] => 2.608
            [stop_loss] => 2.6182
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 17:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0060000000000002
            [max_drawdown] => 0.031
            [rr_ratio] => 0.19
            [high] => 2.63900000
            [low] => 2.60200000
            [mfe_pct] => 0.23
            [mae_pct] => 1.19
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T17:05:43-04:00
            [end_at] => 2025-09-09T19:05:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.024
            [max_drawdown] => 0.031
            [rr_ratio] => 0.77
            [high] => 2.63900000
            [low] => 2.58400000
            [mfe_pct] => 0.92
            [mae_pct] => 1.19
            [mfe_mae_ratio] => 0.77
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T17:05:43-04:00
            [end_at] => 2025-09-10T00:05:43-04:00
        )

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

)