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Short Trade on TREE

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Short Trade on TREE 12 Sep 2025 at 12:30:28

Take profit at 0.3121 (0.57 %) and Stop Loss at 0.3148 (0.29 %)

Short Trade on TREE

The 12 Sep 2025 at 12:30:28

With 9071.997 TREE at 0.3139$ per unit.

Position size of 2847.6999 $

Take profit at 0.3121 (0.57 %) and Stop Loss at 0.3148 (0.29 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.39
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.555658

15m : 0.089496

1H : -0.067949

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.0005878896689
Details
  1. score: 1.2
  2. 1H
  3. ema9 : 0.313204
  4. ema21 : 0.314822
  5. ema50 : 0.318099
  6. ema100 : 0.321653
  7. price_ema9_diff : 0.00222047
  8. ema9_ema21_diff : -0.00514017
  9. ema21_ema50_diff : -0.0103018
  10. price_ema100_diff : -0.024104
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.10592
  14. ema_slope_21 : -0.0823406
  15. ema_slope_50 : -0.0712579
  16. ema_slope_100 : -0.0550585
  17. rsi : 0.449989
  18. adx : 0.25746
  19. kc_percentage : 0.42912
  20. kc_width_percentage : 0.0355907
  21. volume_ema_diff : -0.256232
  22. volume_ema1 : 187457.94357745
  23. volume_ema2 : 252038.44245624
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.312416
  27. ema21 : 0.312205
  28. ema50 : 0.313245
  29. ema100 : 0.313785
  30. price_ema9_diff : 0.00474866
  31. ema9_ema21_diff : 0.000676025
  32. ema21_ema50_diff : -0.00332103
  33. price_ema100_diff : 0.000364693
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0400357
  37. ema_slope_21 : -0.00680662
  38. ema_slope_50 : -0.0220623
  39. ema_slope_100 : -0.0140614
  40. rsi : 0.56978
  41. adx : 0.31559
  42. kc_percentage : 0.849892
  43. kc_width_percentage : 0.0156705
  44. volume_ema_diff : -0.770772
  45. volume_ema1 : 12711.097835507
  46. volume_ema2 : 55451.781683715
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.313073
  50. ema21 : 0.312274
  51. ema50 : 0.311878
  52. ema100 : 0.312212
  53. price_ema9_diff : 0.00264124
  54. ema9_ema21_diff : 0.00255886
  55. ema21_ema50_diff : 0.00126693
  56. price_ema100_diff : 0.00540589
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0592009
  60. ema_slope_21 : 0.0348726
  61. ema_slope_50 : 0.0133265
  62. ema_slope_100 : 0.00289004
  63. rsi : 0.657736
  64. adx : 0.214054
  65. kc_percentage : 1.20451
  66. kc_width_percentage : 0.00715916
  67. volume_ema_diff : -0.872633
  68. volume_ema1 : 2238.8830554446
  69. volume_ema2 : 17578.261948877
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115041
  74. 5m_price_ema100_diff: 
    0.00233723
  75. 5m_price: 
    115310
  76. 5m_correlation_with_coin: 
    0.555658
  77. btc_indicators
  78. 15m_ema100: 
    114924
  79. 15m_price_ema100_diff: 
    0.00335281
  80. 15m_price: 
    115310
  81. 15m_correlation_with_coin: 
    0.089496
  82. btc_indicators
  83. 1H_ema100: 
    113656
  84. 1H_price_ema100_diff: 
    0.0145539
  85. 1H_price: 
    115310
  86. 1H_correlation_with_coin: 
    -0.067949
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Sep 2025
12:30:28		 12 Sep 2025
13:15:00		 44 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3139 0.3148 0.3121 2 0.0765
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 0.3139
  • Stop Loss: 0.3148
  • Take Profit: 0.3121

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3148 - 0.3139 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3139 - 0.3121 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.00090000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
2847.6999 100 9071.997 28.48
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 0.00090000000000001

Taille de position = 8 / 0.00090000000000001 = 8888.89

Taille de position USD = 8888.89 x 0.3139 = 2790.22

Donc, tu peux acheter 8888.89 avec un stoploss a 0.3148

Avec un position size USD de 2790.22$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00090000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0018 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 2790.22
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.57 % 16.33 $
SL % Target SL $ Target
0.29 % 8.16 $
PNL PNL %
-8.16 $ -0.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4141 % 144.44 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3121
            [entry_price] => 0.3139
            [stop_loss] => 0.31489
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-12 13:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3121
            [entry_price] => 0.3139
            [stop_loss] => 0.31498
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-12 13:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3121
            [entry_price] => 0.3139
            [stop_loss] => 0.31507
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-12 13:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3121
            [entry_price] => 0.3139
            [stop_loss] => 0.31525
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-12 13:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.001
            [max_drawdown] => 0.0029
            [rr_ratio] => 0.34
            [high] => 0.31680000
            [low] => 0.31290000
            [mfe_pct] => 0.32
            [mae_pct] => 0.92
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 24
            [start_at] => 2025-09-12T12:30:28-04:00
            [end_at] => 2025-09-12T14:30:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.001
            [max_drawdown] => 0.0051
            [rr_ratio] => 0.2
            [high] => 0.31900000
            [low] => 0.31290000
            [mfe_pct] => 0.32
            [mae_pct] => 1.62
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 84
            [start_at] => 2025-09-12T12:30:28-04:00
            [end_at] => 2025-09-12T19:30:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.31400000
            [high_after] => 0.31900000
            [low_before] => 0.30920000
            [low_after] => 0.31290000
            [is_new_high] => 
            [is_new_low] => 
        )

)