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Short Trade on YGG

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Short Trade on YGG 22 Sep 2025 at 17:11:06

Take profit at 0.1573 (0.69 %) and Stop Loss at 0.1589 (0.32 %)

Short Trade on YGG

The 22 Sep 2025 at 17:11:06

With 15006.5977 YGG at 0.1584$ per unit.

Position size of 2377.0451 $

Take profit at 0.1573 (0.69 %) and Stop Loss at 0.1589 (0.32 %)

That's a 2.2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.87
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.5
Prediction 2 Probability
0 0.45
Prediction 3 Probability
0 0.6
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.326576

15m : -0.082659

1H : -0.020558

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0003553992341
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.157849
  4. ema21 : 0.16132
  5. ema50 : 0.168921
  6. ema100 : 0.176384
  7. price_ema9_diff : 0.00348489
  8. ema9_ema21_diff : -0.0215165
  9. ema21_ema50_diff : -0.0449917
  10. price_ema100_diff : -0.101963
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.261422
  14. ema_slope_21 : -0.409835
  15. ema_slope_50 : -0.335472
  16. ema_slope_100 : -0.236078
  17. rsi : 0.36499
  18. adx : 0.588595
  19. kc_percentage : 0.243481
  20. kc_width_percentage : 0.0637556
  21. volume_ema_diff : -0.812211
  22. volume_ema1 : 55506.495615705
  23. volume_ema2 : 295579.3813816
  24. chop : 86.7961
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.157583
  28. ema21 : 0.157268
  29. ema50 : 0.158704
  30. ema100 : 0.163093
  31. price_ema9_diff : 0.00518396
  32. ema9_ema21_diff : 0.00200097
  33. ema21_ema50_diff : -0.00904709
  34. price_ema100_diff : -0.0287765
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0545003
  38. ema_slope_21 : 0.0104166
  39. ema_slope_50 : -0.0474051
  40. ema_slope_100 : -0.0810857
  41. rsi : 0.570734
  42. adx : 0.306607
  43. kc_percentage : 0.826795
  44. kc_width_percentage : 0.0219041
  45. volume_ema_diff : -0.747685
  46. volume_ema1 : 11758.144829488
  47. volume_ema2 : 46601.068101377
  48. chop : 53.1259
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.158199
  52. ema21 : 0.157662
  53. ema50 : 0.157224
  54. ema100 : 0.157314
  55. price_ema9_diff : 0.00126481
  56. ema9_ema21_diff : 0.0034097
  57. ema21_ema50_diff : 0.0027872
  58. price_ema100_diff : 0.0068993
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0890549
  62. ema_slope_21 : 0.060118
  63. ema_slope_50 : 0.0289902
  64. ema_slope_100 : 0.0109532
  65. rsi : 0.633631
  66. adx : 0.276852
  67. kc_percentage : 1.03377
  68. kc_width_percentage : 0.00832753
  69. volume_ema_diff : -0.591179
  70. volume_ema1 : 2284.5494366243
  71. volume_ema2 : 5588.1412828938
  72. chop : 36.9193
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112535
  77. 5m_price_ema100_diff: 
    0.000517988
  78. 5m_price: 
    112593
  79. 5m_correlation_with_coin: 
    0.326576
  80. btc_indicators
  81. 15m_ema100: 
    113310
  82. 15m_price_ema100_diff: 
    -0.00632519
  83. 15m_price: 
    112593
  84. 15m_correlation_with_coin: 
    -0.082659
  85. btc_indicators
  86. 1H_ema100: 
    115030
  87. 1H_price_ema100_diff: 
    -0.0211877
  88. 1H_price: 
    112593
  89. 1H_correlation_with_coin: 
    -0.020558
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
17:11:06		 22 Sep 2025
17:20:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1584 0.1589 0.1573 2.2 0.03877
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 0.1584
  • Stop Loss: 0.1589
  • Take Profit: 0.1573

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1589 - 0.1584 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1584 - 0.1573 = 0.0011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0011 / 0.0005 = 2.2

📌 Position Size

Amount Margin Quantity Leverage
2377.0451 100 15006.5977 23.77
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.1584 = 2534.4

Donc, tu peux acheter 16000 avec un stoploss a 0.1589

Avec un position size USD de 2534.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.0011 = 17.6

Si Take Profit atteint, tu gagneras 17.6$

Résumé

  • Taille de position 16000
  • Taille de position USD 2534.4
  • Perte potentielle 8
  • Gain potentiel 17.6
  • Risk-Reward Ratio 2.2

📌 Peformances

TP % Target TP $ Target
0.69 % 16.51 $
SL % Target SL $ Target
0.32 % 7.5 $
PNL PNL %
-7.5 $ -0.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4419 % 139.97 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1573
            [entry_price] => 0.1584
            [stop_loss] => 0.15895
            [rr_ratio] => 2
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1573
            [entry_price] => 0.1584
            [stop_loss] => 0.159
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1573
            [entry_price] => 0.1584
            [stop_loss] => 0.15905
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1573
            [entry_price] => 0.1584
            [stop_loss] => 0.15915
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.00099999999999997
            [rr_ratio] => 0
            [high] => 0.15940000
            [low] => 0.15840000
            [mfe_pct] => 0
            [mae_pct] => 0.63
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T17:11:06-04:00
            [end_at] => 2025-09-22T19:11:06-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0048
            [max_drawdown] => 0.0033
            [rr_ratio] => 1.45
            [high] => 0.16170000
            [low] => 0.15360000
            [mfe_pct] => 3.03
            [mae_pct] => 2.08
            [mfe_mae_ratio] => 1.45
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T17:11:06-04:00
            [end_at] => 2025-09-23T00:11:06-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.15880000
            [high_after] => 0.16170000
            [low_before] => 0.15480000
            [low_after] => 0.15360000
            [is_new_high] => 
            [is_new_low] => 1
        )

)