Short Trade on QTUM 01 Sep 2025 at 05:07:44

Take profit at 2.6696 (1.09 %) and Stop Loss at 2.7186 (0.73 %)

Short Trade on QTUM

The 01 Sep 2025 at 05:07:44

With 407.7482 QTUM at 2.699$ per unit.

Position size of 1100.5124 $

Take profit at 2.6696 (1.09 %) and Stop Loss at 2.7186 (0.73 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.89
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.92
Prediction 2 Probability
0 0.72
Prediction 3 Probability
0 0.75
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : range_medium

rules_regime_5m : bull_low

BTC Correlation Score

5m : 0.296123

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.01307996718
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 2.68969
  4. ema21 : 2.73209
  5. ema50 : 2.78717
  6. ema100 : 2.81314
  7. price_ema9_diff : 0.00345808
  8. ema9_ema21_diff : -0.0155162
  9. ema21_ema50_diff : -0.0197632
  10. price_ema100_diff : -0.0405739
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.437375
  14. adx : 0.288994
  15. kc_percentage : 0.360785
  16. kc_width_percentage : 0.0794917
  17. volume_ema_diff : -0.316119
  18. volume_ema1 : 692834.64106132
  19. volume_ema2 : 1013093.3995621
  20. ¸
  21. 15m
  22. ema9 : 2.66663
  23. ema21 : 2.6666
  24. ema50 : 2.70165
  25. ema100 : 2.74205
  26. price_ema9_diff : 0.0121358
  27. ema9_ema21_diff : 1.08442E-5
  28. ema21_ema50_diff : -0.0129703
  29. price_ema100_diff : -0.0157035
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.562868
  33. adx : 0.246957
  34. kc_percentage : 0.825137
  35. kc_width_percentage : 0.0381964
  36. volume_ema_diff : -0.418442
  37. volume_ema1 : 151235.92985791
  38. volume_ema2 : 260053.17922352
  39. ¸
  40. 5m
  41. ema9 : 2.68739
  42. ema21 : 2.66982
  43. ema50 : 2.66262
  44. ema100 : 2.68976
  45. price_ema9_diff : 0.00431962
  46. ema9_ema21_diff : 0.00657822
  47. ema21_ema50_diff : 0.00270621
  48. price_ema100_diff : 0.00343289
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.676467
  52. adx : 0.425289
  53. kc_percentage : 1.06081
  54. kc_width_percentage : 0.0184742
  55. volume_ema_diff : -0.516356
  56. volume_ema1 : 35927.058258214
  57. volume_ema2 : 74284.18829778
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    108377
  62. 5m_price_ema100_diff:
    0.011184
  63. 5m_price:
    109589
  64. 5m_correlation_with_coin:
    0.296123
  65. btc_indicators
  66. 15m_ema100:
    108466
  67. 15m_price_ema100_diff:
    0.0103577
  68. 15m_price:
    109589
  69. btc_indicators
  70. 1H_ema100:
    109546
  71. 1H_price_ema100_diff:
    0.000394258
  72. 1H_price:
    109589
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
05:07:44
01 Sep 2025
05:20:00
12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.699 2.7186 2.6696 1.5 0.923
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 2.699
  • Stop Loss: 2.7186
  • Take Profit: 2.6696

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.7186 - 2.699 = 0.0196

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.699 - 2.6696 = 0.0294

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0294 / 0.0196 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1100.5124 100 407.7482 11.01
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 0.0196

Taille de position = 8 / 0.0196 = 408.16

Taille de position USD = 408.16 x 2.699 = 1101.62

Donc, tu peux acheter 408.16 avec un stoploss a 2.7186

Avec un position size USD de 1101.62$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 408.16 x 0.0196 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 408.16 x 0.0294 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 408.16
  • Taille de position USD 1101.62
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.09 % 11.99 $
SL % Target SL $ Target
0.73 % 7.99 $
PNL PNL %
-7.99 $ -0.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5561 % 214.28 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.6696
            [entry_price] => 2.699
            [stop_loss] => 2.72056
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-01 05:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.6696
            [entry_price] => 2.699
            [stop_loss] => 2.72252
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-01 05:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.6696
            [entry_price] => 2.699
            [stop_loss] => 2.72448
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-01 05:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.6696
            [entry_price] => 2.699
            [stop_loss] => 2.7284
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-01 05:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.031
            [max_drawdown] => 0.05
            [rr_ratio] => 0.62
            [high] => 2.74900000
            [low] => 2.66800000
            [mfe_pct] => 1.15
            [mae_pct] => 1.85
            [mfe_mae_ratio] => 0.62
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T05:07:44-04:00
            [end_at] => 2025-09-01T07:07:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.116
            [max_drawdown] => 0.05
            [rr_ratio] => 2.32
            [high] => 2.74900000
            [low] => 2.58300000
            [mfe_pct] => 4.3
            [mae_pct] => 1.85
            [mfe_mae_ratio] => 2.32
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T05:07:44-04:00
            [end_at] => 2025-09-01T12:07:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.70300000
            [high_after] => 2.74900000
            [low_before] => 2.57800000
            [low_after] => 2.59100000
            [is_new_high] => 
            [is_new_low] => 
        )

)