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Short Trade on TREE

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Short Trade on TREE 11 Sep 2025 at 18:56:58

Take profit at 0.3151 (0.38 %) and Stop Loss at 0.3169 (0.19 %)

Short Trade on TREE

The 11 Sep 2025 at 18:56:58

With 12971.4065 TREE at 0.3163$ per unit.

Position size of 4102.8559 $

Take profit at 0.3151 (0.38 %) and Stop Loss at 0.3169 (0.19 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.37
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.94
Prediction 2 Probability
0 0.71
Prediction 3 Probability
0 0.79
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : bull_low_exhausted

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.541019

15m : 0.032987

1H : 0.133727

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.000411160758
Details
  1. score: 1.22
  2. 1H
  3. ema9 : 0.31527
  4. ema21 : 0.318024
  5. ema50 : 0.321973
  6. ema100 : 0.326399
  7. price_ema9_diff : 0.00326529
  8. ema9_ema21_diff : -0.00866044
  9. ema21_ema50_diff : -0.0122632
  10. price_ema100_diff : -0.0309414
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.247814
  14. ema_slope_21 : -0.188993
  15. ema_slope_50 : -0.115125
  16. ema_slope_100 : -0.0802827
  17. rsi : 0.428603
  18. adx : 0.317368
  19. kc_percentage : 0.375756
  20. kc_width_percentage : 0.0387887
  21. volume_ema_diff : -0.51578
  22. volume_ema1 : 141072.39356811
  23. volume_ema2 : 291339.6820648
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.314974
  27. ema21 : 0.31451
  28. ema50 : 0.315941
  29. ema100 : 0.318616
  30. price_ema9_diff : 0.00420978
  31. ema9_ema21_diff : 0.0014748
  32. ema21_ema50_diff : -0.00452994
  33. price_ema100_diff : -0.00726919
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0412365
  37. ema_slope_21 : 0.0137438
  38. ema_slope_50 : -0.0218676
  39. ema_slope_100 : -0.0288632
  40. rsi : 0.589885
  41. adx : 0.283398
  42. kc_percentage : 0.947534
  43. kc_width_percentage : 0.0126547
  44. volume_ema_diff : -0.60883
  45. volume_ema1 : 22331.978921421
  46. volume_ema2 : 57090.335045207
  47. regime : range_low
    48. ¸
  48. 5m
  49. ema9 : 0.315764
  50. ema21 : 0.315162
  51. ema50 : 0.314471
  52. ema100 : 0.314132
  53. price_ema9_diff : 0.00169484
  54. ema9_ema21_diff : 0.0019123
  55. ema21_ema50_diff : 0.00219567
  56. price_ema100_diff : 0.00690144
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0414107
  60. ema_slope_21 : 0.0287674
  61. ema_slope_50 : 0.0177322
  62. ema_slope_100 : 0.00993874
  63. rsi : 0.672278
  64. adx : 0.371575
  65. kc_percentage : 1.21588
  66. kc_width_percentage : 0.00485247
  67. volume_ema_diff : -0.680021
  68. volume_ema1 : 3175.217147693
  69. volume_ema2 : 9923.2104445744
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114480
  74. 5m_price_ema100_diff: 
    0.00610816
  75. 5m_price: 
    115179
  76. 5m_correlation_with_coin: 
    0.541019
  77. btc_indicators
  78. 15m_ema100: 
    114196
  79. 15m_price_ema100_diff: 
    0.00868719
  80. 15m_price: 
    115188
  81. 15m_correlation_with_coin: 
    0.032987
  82. btc_indicators
  83. 1H_ema100: 
    112873
  84. 1H_price_ema100_diff: 
    0.0204336
  85. 1H_price: 
    115179
  86. 1H_correlation_with_coin: 
    0.133727
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Sep 2025
18:56:58		 11 Sep 2025
19:05:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3163 0.3169 0.3151 2 0.068
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 0.3163
  • Stop Loss: 0.3169
  • Take Profit: 0.3151

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3169 - 0.3163 = 0.00059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3163 - 0.3151 = 0.0012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0012 / 0.00059999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
4102.8559 100 12971.4065 41.03
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 0.00059999999999999

Taille de position = 8 / 0.00059999999999999 = 13333.33

Taille de position USD = 13333.33 x 0.3163 = 4217.33

Donc, tu peux acheter 13333.33 avec un stoploss a 0.3169

Avec un position size USD de 4217.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13333.33 x 0.00059999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 13333.33 x 0.0012 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 13333.33
  • Taille de position USD 4217.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.38 % 15.57 $
SL % Target SL $ Target
0.19 % 7.78 $
PNL PNL %
-7.78 $ -0.19
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1897 % 100 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3151
            [entry_price] => 0.3163
            [stop_loss] => 0.31696
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-11 19:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3151
            [entry_price] => 0.3163
            [stop_loss] => 0.31702
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-11 19:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3151
            [entry_price] => 0.3163
            [stop_loss] => 0.31708
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-11 19:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3151
            [entry_price] => 0.3163
            [stop_loss] => 0.3172
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-11 19:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00080000000000002
            [max_drawdown] => 0.0027
            [rr_ratio] => 0.3
            [high] => 0.31900000
            [low] => 0.31550000
            [mfe_pct] => 0.25
            [mae_pct] => 0.85
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2025-09-11T18:56:58-04:00
            [end_at] => 2025-09-11T20:56:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00080000000000002
            [max_drawdown] => 0.0037
            [rr_ratio] => 0.22
            [high] => 0.32000000
            [low] => 0.31550000
            [mfe_pct] => 0.25
            [mae_pct] => 1.17
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 84
            [start_at] => 2025-09-11T18:56:58-04:00
            [end_at] => 2025-09-12T01:56:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.31640000
            [high_after] => 0.32000000
            [low_before] => 0.31250000
            [low_after] => 0.31550000
            [is_new_high] => 
            [is_new_low] => 
        )

)