Long Trade on YZY 04 Sep 2025 at 23:28:19

Take profit at 0.4929 (1 %) and Stop Loss at 0.4855 (0.51 %)

Long Trade on YZY

The 04 Sep 2025 at 23:28:19

With 3256.8635 YZY at 0.488$ per unit.

Position size of 1589.3494 $

Take profit at 0.4929 (1 %) and Stop Loss at 0.4855 (0.51 %)

That's a 1.96 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.6
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.93
Prediction 2 Probability
0 0.7
Prediction 3 Probability
0 0.78
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : range_medium

BTC Correlation Score

5m : -0.159545

15m : -0.002786

1H : -0.120582

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.001637567346
Details
  1. score: 2.09
  2. 1H
  3. ema9 : 0.485616
  4. ema21 : 0.478974
  5. ema50 : 0.476696
  6. ema100 : 0.483036
  7. price_ema9_diff : 0.00490827
  8. ema9_ema21_diff : 0.0138675
  9. ema21_ema50_diff : 0.00477833
  10. price_ema100_diff : 0.010276
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : 0.336019
  14. ema_slope_21 : 0.195924
  15. ema_slope_50 : 0.0626219
  16. ema_slope_100 : -0.00566515
  17. rsi : 0.586171
  18. adx : 0.39463
  19. kc_percentage : 0.637023
  20. kc_width_percentage : 0.129896
  21. volume_ema_diff : 0.233627
  22. volume_ema1 : 181414.36228421
  23. volume_ema2 : 147057.60593354
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.49132
  28. ema21 : 0.489316
  29. ema50 : 0.482444
  30. ema100 : 0.477126
  31. price_ema9_diff : -0.00675745
  32. ema9_ema21_diff : 0.00409553
  33. ema21_ema50_diff : 0.0142427
  34. price_ema100_diff : 0.022789
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0221686
  38. ema_slope_21 : 0.0776606
  39. ema_slope_50 : 0.0972859
  40. ema_slope_100 : 0.0686172
  41. rsi : 0.540554
  42. adx : 0.617324
  43. kc_percentage : 0.423396
  44. kc_width_percentage : 0.0422652
  45. volume_ema_diff : -0.739143
  46. volume_ema1 : 16663.725730177
  47. volume_ema2 : 63880.745901116
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 0.489997
  52. ema21 : 0.491097
  53. ema50 : 0.490237
  54. ema100 : 0.485606
  55. price_ema9_diff : -0.00407753
  56. ema9_ema21_diff : -0.00223978
  57. ema21_ema50_diff : 0.00175537
  58. price_ema100_diff : 0.00492908
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.0560003
  62. ema_slope_21 : -0.0291827
  63. ema_slope_50 : 0.00332699
  64. ema_slope_100 : 0.0235553
  65. rsi : 0.357698
  66. adx : 0.262764
  67. kc_percentage : -0.086561
  68. kc_width_percentage : 0.0106555
  69. volume_ema_diff : -0.794844
  70. volume_ema1 : 3446.2814119813
  71. volume_ema2 : 16798.413968305
  72. regime : range_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    110747
  77. 5m_price_ema100_diff:
    0.00287364
  78. 5m_price:
    111065
  79. 5m_correlation_with_coin:
    -0.159545
  80. btc_indicators
  81. 15m_ema100:
    110676
  82. 15m_price_ema100_diff:
    0.00493837
  83. 15m_price:
    111222
  84. 15m_correlation_with_coin:
    -0.002786
  85. btc_indicators
  86. 1H_ema100:
    110297
  87. 1H_price_ema100_diff:
    0.00696385
  88. 1H_price:
    111065
  89. 1H_correlation_with_coin:
    -0.120582
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
23:28:19
04 Sep 2025
23:40:00
11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.488 0.4855 0.4929 1.96 0.3674
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 0.488
  • Stop Loss: 0.4855
  • Take Profit: 0.4929

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4855 - 0.488 = -0.0025

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.488 - 0.4929 = -0.0049

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0049 / -0.0025 = 1.96

📌 Position Size

Amount Margin Quantity Leverage
1589.3494 100 3256.8635 15.89
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 -0.0025

Taille de position = 8 / -0.0025 = -3200

Taille de position USD = -3200 x 0.488 = -1561.6

Donc, tu peux acheter -3200 avec un stoploss a 0.4855

Avec un position size USD de -1561.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3200 x -0.0025 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3200 x -0.0049 = 15.68

Si Take Profit atteint, tu gagneras 15.68$

Résumé

  • Taille de position -3200
  • Taille de position USD -1561.6
  • Perte potentielle 8
  • Gain potentiel 15.68
  • Risk-Reward Ratio 1.96

📌 Peformances

TP % Target TP $ Target
1 % 15.96 $
SL % Target SL $ Target
0.51 % 8.14 $
PNL PNL %
-8.14 $ -0.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0246 % 200 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.4929
            [entry_price] => 0.488
            [stop_loss] => 0.48525
            [rr_ratio] => 1.78
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 23:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.4929
            [entry_price] => 0.488
            [stop_loss] => 0.485
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 23:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.4929
            [entry_price] => 0.488
            [stop_loss] => 0.48475
            [rr_ratio] => 1.51
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-04 23:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.4929
            [entry_price] => 0.488
            [stop_loss] => 0.48425
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-04 23:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.003
            [max_drawdown] => 0.008
            [rr_ratio] => 0.38
            [high] => 0.49100000
            [low] => 0.48000000
            [mfe_pct] => 0.61
            [mae_pct] => 1.64
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T23:28:19-04:00
            [end_at] => 2025-09-05T01:28:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.004
            [max_drawdown] => 0.008
            [rr_ratio] => 0.5
            [high] => 0.49200000
            [low] => 0.48000000
            [mfe_pct] => 0.82
            [mae_pct] => 1.64
            [mfe_mae_ratio] => 0.5
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T23:28:19-04:00
            [end_at] => 2025-09-05T06:28:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.51000000
            [high_after] => 0.49200000
            [low_before] => 0.48600000
            [low_after] => 0.48000000
            [is_new_high] => 
            [is_new_low] => 
        )

)