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Short Trade on TREE

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Short Trade on TREE 12 Sep 2025 at 12:17:53

Take profit at 0.3117 (0.61 %) and Stop Loss at 0.3145 (0.29 %)

Short Trade on TREE

The 12 Sep 2025 at 12:17:53

With 8482.5344 TREE at 0.3136$ per unit.

Position size of 2660.1228 $

Take profit at 0.3117 (0.61 %) and Stop Loss at 0.3145 (0.29 %)

That's a 2.11 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.33
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.87
Prediction 2 Probability
0 0.66
Prediction 3 Probability
0 0.84
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 : 0.557762

15m : -0.007544

1H : 0.114937

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.0006287429084
Details
  1. score: 1.22
  2. 1H
  3. ema9 : 0.313144
  4. ema21 : 0.314795
  5. ema50 : 0.318088
  6. ema100 : 0.321647
  7. price_ema9_diff : 0.00145447
  8. ema9_ema21_diff : -0.00524458
  9. ema21_ema50_diff : -0.0103509
  10. price_ema100_diff : -0.0250187
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.107496
  14. ema_slope_21 : -0.0830554
  15. ema_slope_50 : -0.0715635
  16. ema_slope_100 : -0.0552114
  17. rsi : 0.440765
  18. adx : 0.259056
  19. kc_percentage : 0.403791
  20. kc_width_percentage : 0.0352421
  21. volume_ema_diff : -0.264427
  22. volume_ema1 : 185196.83697745
  23. volume_ema2 : 251772.42991506
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.312065
  27. ema21 : 0.312045
  28. ema50 : 0.313247
  29. ema100 : 0.313964
  30. price_ema9_diff : 0.00491708
  31. ema9_ema21_diff : 6.549E-5
  32. ema21_ema50_diff : -0.00383897
  33. price_ema100_diff : -0.00116163
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0230878
  37. ema_slope_21 : -0.0181699
  38. ema_slope_50 : -0.0276849
  39. ema_slope_100 : -0.0177616
  40. rsi : 0.558831
  41. adx : 0.340384
  42. kc_percentage : 0.810601
  43. kc_width_percentage : 0.0163512
  44. volume_ema_diff : -0.711385
  45. volume_ema1 : 16762.954386594
  46. volume_ema2 : 58080.722875741
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.312494
  50. ema21 : 0.311811
  51. ema50 : 0.311668
  52. ema100 : 0.312249
  53. price_ema9_diff : 0.0035362
  54. ema9_ema21_diff : 0.00219114
  55. ema21_ema50_diff : 0.000459013
  56. price_ema100_diff : 0.00432574
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0420417
  60. ema_slope_21 : 0.0209417
  61. ema_slope_50 : 0.00494045
  62. ema_slope_100 : -0.0025839
  63. rsi : 0.65831
  64. adx : 0.20819
  65. kc_percentage : 1.21521
  66. kc_width_percentage : 0.00783571
  67. volume_ema_diff : -0.822018
  68. volume_ema1 : 3165.8716871254
  69. volume_ema2 : 17787.632218955
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115024
  74. 5m_price_ema100_diff: 
    0.00131456
  75. 5m_price: 
    115176
  76. 5m_correlation_with_coin: 
    0.557762
  77. btc_indicators
  78. 15m_ema100: 
    114925
  79. 15m_price_ema100_diff: 
    0.00217828
  80. 15m_price: 
    115176
  81. 15m_correlation_with_coin: 
    -0.007544
  82. btc_indicators
  83. 1H_ema100: 
    113653
  84. 1H_price_ema100_diff: 
    0.0133978
  85. 1H_price: 
    115176
  86. 1H_correlation_with_coin: 
    0.114937
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Sep 2025
12:17:53		 12 Sep 2025
13:00:00		 42 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3136 0.3145 0.3117 2.11 0.0731
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 0.3136
  • Stop Loss: 0.3145
  • Take Profit: 0.3117

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3145 - 0.3136 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3136 - 0.3117 = 0.0019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0019 / 0.00090000000000001 = 2.1111

📌 Position Size

Amount Margin Quantity Leverage
2660.1228 100 8482.5344 26.60
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 0.3136 = 2787.56

Donc, tu peux acheter 8888.89 avec un stoploss a 0.3145

Avec un position size USD de 2787.56$

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 0.0019 = 16.89

Si Take Profit atteint, tu gagneras 16.89$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 2787.56
  • Perte potentielle 8
  • Gain potentiel 16.89
  • Risk-Reward Ratio 2.1111

📌 Peformances

TP % Target TP $ Target
0.61 % 16.12 $
SL % Target SL $ Target
0.29 % 7.63 $
PNL PNL %
-7.63 $ -0.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.287 % 100 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3117
            [entry_price] => 0.3136
            [stop_loss] => 0.31459
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-12 13:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3117
            [entry_price] => 0.3136
            [stop_loss] => 0.31468
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-12 13:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3117
            [entry_price] => 0.3136
            [stop_loss] => 0.31477
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-12 13:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3117
            [entry_price] => 0.3136
            [stop_loss] => 0.31495
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-12 13:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00069999999999998
            [max_drawdown] => 0.0022
            [rr_ratio] => 0.32
            [high] => 0.31580000
            [low] => 0.31290000
            [mfe_pct] => 0.22
            [mae_pct] => 0.7
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 24
            [start_at] => 2025-09-12T12:17:53-04:00
            [end_at] => 2025-09-12T14:17:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00069999999999998
            [max_drawdown] => 0.0054
            [rr_ratio] => 0.13
            [high] => 0.31900000
            [low] => 0.31290000
            [mfe_pct] => 0.22
            [mae_pct] => 1.72
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 84
            [start_at] => 2025-09-12T12:17:53-04:00
            [end_at] => 2025-09-12T19:17:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.31380000
            [high_after] => 0.31810000
            [low_before] => 0.30920000
            [low_after] => 0.31290000
            [is_new_high] => 
            [is_new_low] => 
        )

)