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Short Trade on QTUM

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Short Trade on QTUM 01 Sep 2025 at 16:05:28

Take profit at 2.5933 (0.56 %) and Stop Loss at 2.6178 (0.38 %)

Short Trade on QTUM

The 01 Sep 2025 at 16:05:28

With 816.9437 QTUM at 2.608$ per unit.

Position size of 2130.5892 $

Take profit at 2.5933 (0.56 %) and Stop Loss at 2.6178 (0.38 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 7.61
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.55
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.78
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low
BTC Correlation Score

5m : -0.202873

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.006528397703
Details
  1. score: 1.22
  2. 1H
  3. ema9 : 2.60893
  4. ema21 : 2.65149
  5. ema50 : 2.72422
  6. ema100 : 2.76864
  7. price_ema9_diff : -0.000358037
  8. ema9_ema21_diff : -0.0160501
  9. ema21_ema50_diff : -0.0266974
  10. price_ema100_diff : -0.0580236
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.397628
  14. adx : 0.258483
  15. kc_percentage : 0.239929
  16. kc_width_percentage : 0.0589395
  17. volume_ema_diff : -0.845237
  18. volume_ema1 : 118567.47056577
  19. volume_ema2 : 766125.66874894
    20. ¸
  20. 15m
  21. ema9 : 2.59065
  22. ema21 : 2.59562
  23. ema50 : 2.62288
  24. ema100 : 2.65872
  25. price_ema9_diff : 0.00669709
  26. ema9_ema21_diff : -0.00191478
  27. ema21_ema50_diff : -0.0103954
  28. price_ema100_diff : -0.0190768
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.538099
  32. adx : 0.227872
  33. kc_percentage : 0.746548
  34. kc_width_percentage : 0.0204762
  35. volume_ema_diff : -0.624238
  36. volume_ema1 : 35365.423726834
  37. volume_ema2 : 94116.704667951
    38. ¸
  38. 5m
  39. ema9 : 2.59457
  40. ema21 : 2.58932
  41. ema50 : 2.59118
  42. ema100 : 2.6036
  43. price_ema9_diff : 0.00517489
  44. ema9_ema21_diff : 0.00202723
  45. ema21_ema50_diff : -0.000716759
  46. price_ema100_diff : 0.00168769
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.683655
  50. adx : 0.152894
  51. kc_percentage : 1.22093
  52. kc_width_percentage : 0.00983351
  53. volume_ema_diff : 0.803472
  54. volume_ema1 : 21468.515317292
  55. volume_ema2 : 11903.986626103
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    108941
  59. 5m_price_ema100_diff: 
    0.00162387
  60. 5m_price: 
    109118
  61. 5m_correlation_with_coin: 
    -0.202873
  62. btc_indicators
  63. 15m_ema100: 
    108783
  64. 15m_price_ema100_diff: 
    0.00308062
  65. 15m_price: 
    109118
  66. btc_indicators
  67. 1H_ema100: 
    109320
  68. 1H_price_ema100_diff: 
    -0.00184822
  69. 1H_price: 
    109118
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
16:05:28		 01 Sep 2025
16:10:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.608 2.6178 2.5933 1.5 0.844
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: 2.6178
  • Take Profit: 2.5933

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6178 - 2.608 = 0.0097999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.608 - 2.5933 = 0.0147

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0147 / 0.0097999999999998 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2130.5892 100 816.9437 21.31
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 0.0097999999999998

Taille de position = 8 / 0.0097999999999998 = 816.33

Taille de position USD = 816.33 x 2.608 = 2128.99

Donc, tu peux acheter 816.33 avec un stoploss a 2.6178

Avec un position size USD de 2128.99$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 816.33 x 0.0097999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 816.33 x 0.0147 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 816.33
  • Taille de position USD 2128.99
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.56 % 12.01 $
SL % Target SL $ Target
0.38 % 8.01 $
PNL PNL %
12.01 $ 0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.5884
            [stop_loss] => 2.6178
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 16:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.5835
            [stop_loss] => 2.6178
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 16:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.5786
            [stop_loss] => 2.6178
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 16:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.5737
            [stop_loss] => 2.6178
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.5688
            [stop_loss] => 2.6178
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.5639
            [stop_loss] => 2.6178
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.559
            [stop_loss] => 2.6178
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.5541
            [stop_loss] => 2.6178
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.5492
            [stop_loss] => 2.6178
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 2.5443
            [stop_loss] => 2.6178
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 16:45:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 2.5394
            [stop_loss] => 2.6178
            [rr_ratio] => 7
            [closed_at] => 2025-09-01 16:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.078
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.59400000
            [low] => 2.53000000
            [mfe_pct] => 2.99
            [mae_pct] => -0.54
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T16:05:28-04:00
            [end_at] => 2025-09-01T18:05:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.078
            [max_drawdown] => 0.029
            [rr_ratio] => 2.69
            [high] => 2.63700000
            [low] => 2.53000000
            [mfe_pct] => 2.99
            [mae_pct] => 1.11
            [mfe_mae_ratio] => 2.69
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T16:05:28-04:00
            [end_at] => 2025-09-01T23:05:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.61000000
            [high_after] => 2.63700000
            [low_before] => 2.57300000
            [low_after] => 2.53000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)