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Short Trade on QTUM

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Short Trade on QTUM 01 Sep 2025 at 19:55:52

Take profit at 2.5721 (0.84 %) and Stop Loss at 2.6086 (0.56 %)

Short Trade on QTUM

The 01 Sep 2025 at 19:55:52

With 547.9069 QTUM at 2.594$ per unit.

Position size of 1421.2705 $

Take profit at 2.5721 (0.84 %) and Stop Loss at 2.6086 (0.56 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 1.38
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.61
Prediction 3 Probability
1 0.51
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low
BTC Correlation Score

5m : 0.13108

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.25
  4. atr: 0.00973401384
Details
  1. score: 1.25
  2. 1H
  3. ema9 : 2.58248
  4. ema21 : 2.62619
  5. ema50 : 2.70393
  6. ema100 : 2.7534
  7. price_ema9_diff : 0.00445901
  8. ema9_ema21_diff : -0.0166434
  9. ema21_ema50_diff : -0.0287503
  10. price_ema100_diff : -0.0578947
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.420006
  14. adx : 0.276174
  15. kc_percentage : 0.334887
  16. kc_width_percentage : 0.0666712
  17. volume_ema_diff : -0.637753
  18. volume_ema1 : 263913.30635776
  19. volume_ema2 : 728546.09086561
    20. ¸
  20. 15m
  21. ema9 : 2.56407
  22. ema21 : 2.5664
  23. ema50 : 2.59233
  24. ema100 : 2.63193
  25. price_ema9_diff : 0.0116709
  26. ema9_ema21_diff : -0.000907128
  27. ema21_ema50_diff : -0.0100045
  28. price_ema100_diff : -0.014412
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.575549
  32. adx : 0.264829
  33. kc_percentage : 0.905197
  34. kc_width_percentage : 0.0268831
  35. volume_ema_diff : -0.506339
  36. volume_ema1 : 43692.95829754
  37. volume_ema2 : 88508.076401606
    38. ¸
  38. 5m
  39. ema9 : 2.5769
  40. ema21 : 2.56408
  41. ema50 : 2.56242
  42. ema100 : 2.57049
  43. price_ema9_diff : 0.00663401
  44. ema9_ema21_diff : 0.00499842
  45. ema21_ema50_diff : 0.000648632
  46. price_ema100_diff : 0.00914317
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.710474
  50. adx : 0.334815
  51. kc_percentage : 1.24936
  52. kc_width_percentage : 0.015109
  53. volume_ema_diff : 0.0408676
  54. volume_ema1 : 22843.118246395
  55. volume_ema2 : 21946.228057508
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    108600
  59. 5m_price_ema100_diff: 
    0.00433153
  60. 5m_price: 
    109070
  61. 5m_correlation_with_coin: 
    0.13108
  62. btc_indicators
  63. 15m_ema100: 
    108644
  64. 15m_price_ema100_diff: 
    0.00447071
  65. 15m_price: 
    109130
  66. btc_indicators
  67. 1H_ema100: 
    109199
  68. 1H_price_ema100_diff: 
    -0.00117962
  69. 1H_price: 
    109070
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
19:55:52		 01 Sep 2025
20:00:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.594 2.6086 2.5721 1.5 0.929
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 2.594
  • Stop Loss: 2.6086
  • Take Profit: 2.5721

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6086 - 2.594 = 0.0146

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.594 - 2.5721 = 0.0219

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0219 / 0.0146 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1421.2705 100 547.9069 14.21
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 0.0146

Taille de position = 8 / 0.0146 = 547.95

Taille de position USD = 547.95 x 2.594 = 1421.38

Donc, tu peux acheter 547.95 avec un stoploss a 2.6086

Avec un position size USD de 1421.38$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 547.95 x 0.0146 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 547.95 x 0.0219 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 547.95
  • Taille de position USD 1421.38
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.84 % 12 $
SL % Target SL $ Target
0.56 % 8 $
PNL PNL %
12 $ 0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5397 % 95.9 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.5648
            [stop_loss] => 2.6086
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 20:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.5575
            [stop_loss] => 2.6086
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 20:10:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 2.5502
            [stop_loss] => 2.6086
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 20:10:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.5429
            [stop_loss] => 2.6086
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 20:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.5356
            [stop_loss] => 2.6086
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 20:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.5283
            [stop_loss] => 2.6086
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 20:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.521
            [stop_loss] => 2.6086
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 20:10:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.5137
            [stop_loss] => 2.6086
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 20:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.5064
            [stop_loss] => 2.6086
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 20:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.4991
            [stop_loss] => 2.6086
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 20:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.4918
            [stop_loss] => 2.6086
            [rr_ratio] => 7
            [closed_at] => 2025-09-01 20:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.045
            [max_drawdown] => 0.043
            [rr_ratio] => 1.05
            [high] => 2.63700000
            [low] => 2.54900000
            [mfe_pct] => 1.73
            [mae_pct] => 1.66
            [mfe_mae_ratio] => 1.05
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T19:55:52-04:00
            [end_at] => 2025-09-01T21:55:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.045
            [max_drawdown] => 0.05
            [rr_ratio] => 0.9
            [high] => 2.64400000
            [low] => 2.54900000
            [mfe_pct] => 1.73
            [mae_pct] => 1.93
            [mfe_mae_ratio] => 0.9
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T19:55:52-04:00
            [end_at] => 2025-09-02T02:55:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.61000000
            [high_after] => 2.64400000
            [low_before] => 2.53000000
            [low_after] => 2.54900000
            [is_new_high] => 
            [is_new_low] => 
        )

)