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Short Trade on TREE

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Short Trade on TREE 12 Sep 2025 at 13:12:23

Take profit at 0.3129 (0.54 %) and Stop Loss at 0.3155 (0.29 %)

Short Trade on TREE

The 12 Sep 2025 at 13:12:23

With 9210.25 TREE at 0.3146$ per unit.

Position size of 2897.5446 $

Take profit at 0.3129 (0.54 %) and Stop Loss at 0.3155 (0.29 %)

That's a 1.89 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.09
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.93
Prediction 2 Probability
0 0.78
Prediction 3 Probability
0 0.64
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 : bull_low
BTC Correlation Score

5m : 0.038485

15m : 0.058044

1H : 0.118671

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0005790649938
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.313547
  4. ema21 : 0.314835
  5. ema50 : 0.318067
  6. ema100 : 0.322184
  7. price_ema9_diff : 0.00335632
  8. ema9_ema21_diff : -0.004092
  9. ema21_ema50_diff : -0.0101593
  10. price_ema100_diff : -0.0235403
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.105017
  14. ema_slope_21 : -0.0839951
  15. ema_slope_50 : -0.0737706
  16. ema_slope_100 : -0.0603993
  17. rsi : 0.470921
  18. adx : 0.249048
  19. kc_percentage : 0.488923
  20. kc_width_percentage : 0.0338038
  21. volume_ema_diff : -0.456545
  22. volume_ema1 : 131923.31758497
  23. volume_ema2 : 242749.45176809
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.313039
  27. ema21 : 0.312528
  28. ema50 : 0.313315
  29. ema100 : 0.313871
  30. price_ema9_diff : 0.00498556
  31. ema9_ema21_diff : 0.00163416
  32. ema21_ema50_diff : -0.00251262
  33. price_ema100_diff : 0.00232027
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0555474
  37. ema_slope_21 : 0.00849003
  38. ema_slope_50 : -0.0143738
  39. ema_slope_100 : -0.010936
  40. rsi : 0.592012
  41. adx : 0.27727
  42. kc_percentage : 0.905941
  43. kc_width_percentage : 0.0162705
  44. volume_ema_diff : -0.776375
  45. volume_ema1 : 12169.452519485
  46. volume_ema2 : 54419.077289405
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.313816
  50. ema21 : 0.313119
  51. ema50 : 0.312436
  52. ema100 : 0.312671
  53. price_ema9_diff : 0.00249739
  54. ema9_ema21_diff : 0.002224
  55. ema21_ema50_diff : 0.0021883
  56. price_ema100_diff : 0.00616906
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0426406
  60. ema_slope_21 : 0.039758
  61. ema_slope_50 : 0.0219117
  62. ema_slope_100 : 0.00780185
  63. rsi : 0.64755
  64. adx : 0.210861
  65. kc_percentage : 1.1278
  66. kc_width_percentage : 0.00724501
  67. volume_ema_diff : -0.782925
  68. volume_ema1 : 2669.284790468
  69. volume_ema2 : 12296.644817026
  70. regime : bull_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115081
  74. 5m_price_ema100_diff: 
    0.00337459
  75. 5m_price: 
    115470
  76. 5m_correlation_with_coin: 
    0.038485
  77. btc_indicators
  78. 15m_ema100: 
    114969
  79. 15m_price_ema100_diff: 
    0.00435244
  80. 15m_price: 
    115470
  81. 15m_correlation_with_coin: 
    0.058044
  82. btc_indicators
  83. 1H_ema100: 
    113791
  84. 1H_price_ema100_diff: 
    0.0151437
  85. 1H_price: 
    115515
  86. 1H_correlation_with_coin: 
    0.118671
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Sep 2025
13:12:23		 12 Sep 2025
13:25:00		 12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3146 0.3155 0.3129 1.89 0.0722
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 0.3146
  • Stop Loss: 0.3155
  • Take Profit: 0.3129

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3155 - 0.3146 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3146 - 0.3129 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.00090000000000001 = 1.8889

📌 Position Size

Amount Margin Quantity Leverage
2897.5446 100 9210.25 28.98
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 0.3146 = 2796.44

Donc, tu peux acheter 8888.89 avec un stoploss a 0.3155

Avec un position size USD de 2796.44$

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 0.0017 = 15.11

Si Take Profit atteint, tu gagneras 15.11$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 2796.44
  • Perte potentielle 8
  • Gain potentiel 15.11
  • Risk-Reward Ratio 1.8889

📌 Peformances

TP % Target TP $ Target
0.54 % 15.66 $
SL % Target SL $ Target
0.29 % 8.29 $
PNL PNL %
-8.29 $ -0.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2861 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3129
            [entry_price] => 0.3146
            [stop_loss] => 0.31559
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-12 13:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3129
            [entry_price] => 0.3146
            [stop_loss] => 0.31568
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-12 13:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3129
            [entry_price] => 0.3146
            [stop_loss] => 0.31577
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-12 13:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3129
            [entry_price] => 0.3146
            [stop_loss] => 0.31595
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-12 14:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00019999999999998
            [max_drawdown] => 0.0024
            [rr_ratio] => 0.08
            [high] => 0.31700000
            [low] => 0.31440000
            [mfe_pct] => 0.06
            [mae_pct] => 0.76
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-09-12T13:12:23-04:00
            [end_at] => 2025-09-12T15:12:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00019999999999998
            [max_drawdown] => 0.0044
            [rr_ratio] => 0.05
            [high] => 0.31900000
            [low] => 0.31440000
            [mfe_pct] => 0.06
            [mae_pct] => 1.4
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 84
            [start_at] => 2025-09-12T13:12:23-04:00
            [end_at] => 2025-09-12T20:12:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.31470000
            [high_after] => 0.31900000
            [low_before] => 0.30920000
            [low_after] => 0.31440000
            [is_new_high] => 
            [is_new_low] => 
        )

)