Short Trade on YGG 22 Sep 2025 at 08:34:27

Take profit at 0.1574 (0.88 %) and Stop Loss at 0.1595 (0.44 %)

Short Trade on YGG

The 22 Sep 2025 at 08:34:27

With 11439.6381 YGG at 0.1588$ per unit.

Position size of 1816.6145 $

Take profit at 0.1574 (0.88 %) and Stop Loss at 0.1595 (0.44 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 6.1
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
1 0.63
Prediction 3 Probability
0 0.7
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_low

BTC Correlation Score

5m : 0.819423

15m : -0.011686

1H : 0.082774

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.0004662152133
Details
  1. score: 1.19
  2. 1H
  3. ema9 : 0.160483
  4. ema21 : 0.166717
  5. ema50 : 0.173748
  6. ema100 : 0.178849
  7. price_ema9_diff : -0.0104871
  8. ema9_ema21_diff : -0.0373934
  9. ema21_ema50_diff : -0.0404711
  10. price_ema100_diff : -0.112104
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.842913
  14. ema_slope_21 : -0.603706
  15. ema_slope_50 : -0.347113
  16. ema_slope_100 : -0.20967
  17. rsi : 0.278208
  18. adx : 0.48919
  19. kc_percentage : -0.00910657
  20. kc_width_percentage : 0.0929186
  21. volume_ema_diff : -0.343899
  22. volume_ema1 : 261179.22586902
  23. volume_ema2 : 398078.14152882
  24. chop : 9.27188
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.157746
  29. ema21 : 0.158448
  30. ema50 : 0.163003
  31. ema100 : 0.168351
  32. price_ema9_diff : 0.00667926
  33. ema9_ema21_diff : -0.00443132
  34. ema21_ema50_diff : -0.0279418
  35. price_ema100_diff : -0.056735
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.003472
  39. ema_slope_21 : -0.10989
  40. ema_slope_50 : -0.175032
  41. ema_slope_100 : -0.146049
  42. rsi : 0.471943
  43. adx : 0.638979
  44. kc_percentage : 0.609465
  45. kc_width_percentage : 0.0273098
  46. volume_ema_diff : -0.953035
  47. volume_ema1 : 6141.9461881256
  48. volume_ema2 : 130778.61637459
  49. chop : 72.0354
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.157966
  54. ema21 : 0.157551
  55. ema50 : 0.157784
  56. ema100 : 0.15966
  57. price_ema9_diff : 0.00527475
  58. ema9_ema21_diff : 0.00263386
  59. ema21_ema50_diff : -0.00147733
  60. price_ema100_diff : -0.00539125
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0457514
  64. ema_slope_21 : 0.0278802
  65. ema_slope_50 : -0.00328932
  66. ema_slope_100 : -0.0284856
  67. rsi : 0.655124
  68. adx : 0.210321
  69. kc_percentage : 1.18588
  70. kc_width_percentage : 0.0112814
  71. volume_ema_diff : -0.936865
  72. volume_ema1 : 1133.0460105419
  73. volume_ema2 : 17946.56584031
  74. chop : 42.512
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112983
  80. 5m_price_ema100_diff:
    -0.00400097
  81. 5m_price:
    112531
  82. 5m_correlation_with_coin:
    0.819423
  83. btc_indicators
  84. 15m_ema100:
    114039
  85. 15m_price_ema100_diff:
    -0.0132274
  86. 15m_price:
    112531
  87. 15m_correlation_with_coin:
    -0.011686
  88. btc_indicators
  89. 1H_ema100:
    115429
  90. 1H_price_ema100_diff:
    -0.0251111
  91. 1H_price:
    112531
  92. 1H_correlation_with_coin:
    0.082774
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
08:34:27
22 Sep 2025
08:50:00
15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1588 0.1595 0.1574 2 0.04042
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 0.1588
  • Stop Loss: 0.1595
  • Take Profit: 0.1574

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1595 - 0.1588 = 0.00070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1588 - 0.1574 = 0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0014 / 0.00070000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1816.6145 100 11439.6381 18.17
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 0.00070000000000001

Taille de position = 8 / 0.00070000000000001 = 11428.57

Taille de position USD = 11428.57 x 0.1588 = 1814.86

Donc, tu peux acheter 11428.57 avec un stoploss a 0.1595

Avec un position size USD de 1814.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11428.57 x 0.00070000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11428.57 x 0.0014 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 11428.57
  • Taille de position USD 1814.86
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.88 % 16.02 $
SL % Target SL $ Target
0.44 % 8.01 $
PNL PNL %
-8.01 $ -0.44
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5038 % 114.29 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1574
            [entry_price] => 0.1588
            [stop_loss] => 0.15957
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 08:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1574
            [entry_price] => 0.1588
            [stop_loss] => 0.15964
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 10:55:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1574
            [entry_price] => 0.1588
            [stop_loss] => 0.15971
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 10:55:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1574
            [entry_price] => 0.1588
            [stop_loss] => 0.15985
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 10:55:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0011
            [max_drawdown] => 0.0008
            [rr_ratio] => 1.38
            [high] => 0.15960000
            [low] => 0.15770000
            [mfe_pct] => 0.69
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 1.38
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T08:34:27-04:00
            [end_at] => 2025-09-22T10:34:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.004
            [max_drawdown] => 0.0008
            [rr_ratio] => 5
            [high] => 0.15960000
            [low] => 0.15480000
            [mfe_pct] => 2.52
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 5
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T08:34:27-04:00
            [end_at] => 2025-09-22T15:34:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.15880000
            [high_after] => 0.15960000
            [low_before] => 0.15550000
            [low_after] => 0.15480000
            [is_new_high] => 
            [is_new_low] => 1
        )

)