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Short Trade on QTUM

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Short Trade on QTUM 29 Aug 2025 at 13:34:45

Take profit at 2.6307 (0.95 %) and Stop Loss at 2.6729 (0.64 %)

Short Trade on QTUM

The 29 Aug 2025 at 13:34:45

With 474.5494 QTUM at 2.656$ per unit.

Position size of 1260.4032 $

Take profit at 2.6307 (0.95 %) and Stop Loss at 2.6729 (0.64 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 50
ML Pullback Score: 4.29
Prediction Score: 2.1444
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.72
Prediction 3 Probability
0 0.82
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : bear_low
BTC Correlation Score

5m : 0.462619

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0112387318
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 2.64781
  4. ema21 : 2.69727
  5. ema50 : 2.77764
  6. ema100 : 2.85696
  7. price_ema9_diff : 0.00309169
  8. ema9_ema21_diff : -0.0183365
  9. ema21_ema50_diff : -0.0289355
  10. price_ema100_diff : -0.0703423
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.40676
  14. adx : 0.114555
  15. kc_percentage : 0.315309
  16. kc_width_percentage : 0.076348
  17. volume_ema_diff : -0.627602
  18. volume_ema1 : 292467.0401941
  19. volume_ema2 : 785363.14308993
    20. ¸
  20. 15m
  21. ema9 : 2.63329
  22. ema21 : 2.63514
  23. ema50 : 2.66519
  24. ema100 : 2.70868
  25. price_ema9_diff : 0.00862411
  26. ema9_ema21_diff : -0.000701981
  27. ema21_ema50_diff : -0.011275
  28. price_ema100_diff : -0.0194519
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.56031
  32. adx : 0.169691
  33. kc_percentage : 0.760143
  34. kc_width_percentage : 0.0311458
  35. volume_ema_diff : -0.754349
  36. volume_ema1 : 36709.263703582
  37. volume_ema2 : 149436.70458422
    38. ¸
  38. 5m
  39. ema9 : 2.63646
  40. ema21 : 2.62824
  41. ema50 : 2.62827
  42. ema100 : 2.63377
  43. price_ema9_diff : 0.00740925
  44. ema9_ema21_diff : 0.00312799
  45. ema21_ema50_diff : -1.29099E-5
  46. price_ema100_diff : 0.0084383
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.677727
  50. adx : 0.184765
  51. kc_percentage : 1.10058
  52. kc_width_percentage : 0.0171983
  53. volume_ema_diff : -0.101743
  54. volume_ema1 : 20794.817765765
  55. volume_ema2 : 23150.211632093
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    109087
  59. 5m_price_ema100_diff: 
    -0.00611514
  60. 5m_price: 
    108420
  61. 5m_correlation_with_coin: 
    0.462619
  62. btc_indicators
  63. 15m_ema100: 
    110417
  64. 15m_price_ema100_diff: 
    -0.0180817
  65. 15m_price: 
    108420
  66. btc_indicators
  67. 1H_ema100: 
    111284
  68. 1H_price_ema100_diff: 
    -0.0257332
  69. 1H_price: 
    108420
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Aug 2025
13:34:45		 29 Aug 2025
14:00:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.656 2.6729 2.6307 1.5 0.868
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 2.656
  • Stop Loss: 2.6729
  • Take Profit: 2.6307

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6729 - 2.656 = 0.0169

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.656 - 2.6307 = 0.0253

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0253 / 0.0169 = 1.497

📌 Position Size

Amount Margin Quantity Leverage
1260.4032 100 474.5494 12.60
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 0.0169

Taille de position = 8 / 0.0169 = 473.37

Taille de position USD = 473.37 x 2.656 = 1257.27

Donc, tu peux acheter 473.37 avec un stoploss a 2.6729

Avec un position size USD de 1257.27$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 473.37 x 0.0169 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 473.37 x 0.0253 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

  • Taille de position 473.37
  • Taille de position USD 1257.27
  • Perte potentielle 8
  • Gain potentiel 11.98
  • Risk-Reward Ratio 1.497

📌 Peformances

TP % Target TP $ Target
0.95 % 12.01 $
SL % Target SL $ Target
0.64 % 8.02 $
PNL PNL %
12.01 $ 0.95
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0753 % 11.83 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.6222
            [stop_loss] => 2.6729
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 14:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.61375
            [stop_loss] => 2.6729
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 14:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.6053
            [stop_loss] => 2.6729
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 16:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.59685
            [stop_loss] => 2.6729
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 16:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.5884
            [stop_loss] => 2.6729
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 16:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.57995
            [stop_loss] => 2.6729
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 16:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.5715
            [stop_loss] => 2.6729
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 16:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.56305
            [stop_loss] => 2.6729
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 16:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.5546
            [stop_loss] => 2.6729
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 16:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.54615
            [stop_loss] => 2.6729
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-29 16:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.5377
            [stop_loss] => 2.6729
            [rr_ratio] => 7
            [closed_at] => 2025-08-29 16:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.043
            [max_drawdown] => 0.0019999999999998
            [rr_ratio] => 21.5
            [high] => 2.65800000
            [low] => 2.61300000
            [mfe_pct] => 1.62
            [mae_pct] => 0.08
            [mfe_mae_ratio] => 21.5
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T13:34:45-04:00
            [end_at] => 2025-08-29T15:34:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.043
            [max_drawdown] => 0.089
            [rr_ratio] => 0.48
            [high] => 2.74500000
            [low] => 2.61300000
            [mfe_pct] => 1.62
            [mae_pct] => 3.35
            [mfe_mae_ratio] => 0.48
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T13:34:45-04:00
            [end_at] => 2025-08-29T20:34:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.67000000
            [high_after] => 2.67800000
            [low_before] => 2.59000000
            [low_after] => 2.61300000
            [is_new_high] => 
            [is_new_low] => 
        )

)