Short Trade on QTUM 22 Sep 2025 at 17:41:31

Take profit at 2.1566 (0.48 %) and Stop Loss at 2.1722 (0.24 %)

Short Trade on QTUM

The 22 Sep 2025 at 17:41:31

With 1539.9446 QTUM at 2.167$ per unit.

Position size of 3337.06 $

Take profit at 2.1566 (0.48 %) and Stop Loss at 2.1722 (0.24 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.68
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.47
Prediction 3 Probability
1 0.57
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_low

5m_regime : range_low

BTC Correlation Score

5m : 0.496928

15m : 0.094513

1H : -0.007915

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.003463327957
Details
  1. score: 1.16
  2. 1H
  3. ema9 : 2.16076
  4. ema21 : 2.19642
  5. ema50 : 2.26908
  6. ema100 : 2.33605
  7. price_ema9_diff : 0.00288681
  8. ema9_ema21_diff : -0.0162364
  9. ema21_ema50_diff : -0.0320202
  10. price_ema100_diff : -0.072369
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.225872
  14. ema_slope_21 : -0.298792
  15. ema_slope_50 : -0.240528
  16. ema_slope_100 : -0.16675
  17. rsi : 0.353624
  18. adx : 0.715449
  19. kc_percentage : 0.210873
  20. kc_width_percentage : 0.0418371
  21. volume_ema_diff : -0.748873
  22. volume_ema1 : 42485.359681808
  23. volume_ema2 : 169179.36820527
  24. chop : 67.1716
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 2.15637
  29. ema21 : 2.15475
  30. ema50 : 2.17027
  31. ema100 : 2.20828
  32. price_ema9_diff : 0.00492956
  33. ema9_ema21_diff : 0.000751538
  34. ema21_ema50_diff : -0.007151
  35. price_ema100_diff : -0.0186959
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.017789
  39. ema_slope_21 : -0.0103879
  40. ema_slope_50 : -0.0430358
  41. ema_slope_100 : -0.0577796
  42. rsi : 0.564277
  43. adx : 0.290269
  44. kc_percentage : 0.91777
  45. kc_width_percentage : 0.0137003
  46. volume_ema_diff : -0.864566
  47. volume_ema1 : 3971.1521893691
  48. volume_ema2 : 29321.785202257
  49. chop : 44.8853
  50. regime : bear_low
  51. ¸
  52. 5m
  53. ema9 : 2.16322
  54. ema21 : 2.15828
  55. ema50 : 2.1545
  56. ema100 : 2.15594
  57. price_ema9_diff : 0.00174461
  58. ema9_ema21_diff : 0.00228749
  59. ema21_ema50_diff : 0.00175643
  60. price_ema100_diff : 0.00512939
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0418751
  64. ema_slope_21 : 0.0384958
  65. ema_slope_50 : 0.018938
  66. ema_slope_100 : 0.00662648
  67. rsi : 0.674246
  68. adx : 0.277092
  69. kc_percentage : 1.15988
  70. kc_width_percentage : 0.0058684
  71. volume_ema_diff : -0.775884
  72. volume_ema1 : 748.85834846791
  73. volume_ema2 : 3341.4018562305
  74. chop : 66.8523
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112589
  80. 5m_price_ema100_diff:
    0.00207288
  81. 5m_price:
    112823
  82. 5m_correlation_with_coin:
    0.496928
  83. btc_indicators
  84. 15m_ema100:
    113261
  85. 15m_price_ema100_diff:
    -0.00466697
  86. 15m_price:
    112732
  87. 15m_correlation_with_coin:
    0.094513
  88. btc_indicators
  89. 1H_ema100:
    115035
  90. 1H_price_ema100_diff:
    -0.0192322
  91. 1H_price:
    112823
  92. 1H_correlation_with_coin:
    -0.007915
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
17:41:31
22 Sep 2025
20:15:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.167 2.1722 2.1566 2 0.925
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 2.167
  • Stop Loss: 2.1722
  • Take Profit: 2.1566

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.1722 - 2.167 = 0.0052000000000003

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.167 - 2.1566 = 0.0104

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0104 / 0.0052000000000003 = 2

📌 Position Size

Amount Margin Quantity Leverage
3337.06 100 1539.9446 33.37
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 0.0052000000000003

Taille de position = 8 / 0.0052000000000003 = 1538.46

Taille de position USD = 1538.46 x 2.167 = 3333.84

Donc, tu peux acheter 1538.46 avec un stoploss a 2.1722

Avec un position size USD de 3333.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1538.46 x 0.0052000000000003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1538.46 x 0.0104 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1538.46
  • Taille de position USD 3333.84
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.48 % 16.02 $
SL % Target SL $ Target
0.24 % 8.01 $
PNL PNL %
-8.01 $ -0.24
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4615 % 192.29 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.1566
            [entry_price] => 2.167
            [stop_loss] => 2.17272
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.1566
            [entry_price] => 2.167
            [stop_loss] => 2.17324
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.1566
            [entry_price] => 2.167
            [stop_loss] => 2.17376
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.1566
            [entry_price] => 2.167
            [stop_loss] => 2.1748
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0069999999999997
            [max_drawdown] => 0.004
            [rr_ratio] => 1.75
            [high] => 2.17100000
            [low] => 2.16000000
            [mfe_pct] => 0.32
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 1.75
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T17:41:31-04:00
            [end_at] => 2025-09-22T19:41:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.038
            [max_drawdown] => 0.01
            [rr_ratio] => 3.8
            [high] => 2.17700000
            [low] => 2.12900000
            [mfe_pct] => 1.75
            [mae_pct] => 0.46
            [mfe_mae_ratio] => 3.8
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T17:41:31-04:00
            [end_at] => 2025-09-23T00:41:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.16700000
            [high_after] => 2.17700000
            [low_before] => 2.12800000
            [low_after] => 2.12900000
            [is_new_high] => 
            [is_new_low] => 
        )

)