Short Trade on TREE 12 Sep 2025 at 12:09:37

Take profit at 0.3108 (0.64 %) and Stop Loss at 0.3138 (0.32 %)

Short Trade on TREE

The 12 Sep 2025 at 12:09:37

With 8163.0864 TREE at 0.3128$ per unit.

Position size of 2553.4134 $

Take profit at 0.3108 (0.64 %) and Stop Loss at 0.3138 (0.32 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.94
Prediction 2 Probability
0 0.77
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 : range_low

BTC Correlation Score

5m : 0.531462

15m : 0.226768

1H : -0.248401

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0006533476496
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.312984
  4. ema21 : 0.314722
  5. ema50 : 0.318056
  6. ema100 : 0.321631
  7. price_ema9_diff : -0.000589608
  8. ema9_ema21_diff : -0.00552309
  9. ema21_ema50_diff : -0.0104819
  10. price_ema100_diff : -0.0274579
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.111699
  14. ema_slope_21 : -0.0849615
  15. ema_slope_50 : -0.0723783
  16. ema_slope_100 : -0.0556191
  17. rsi : 0.414586
  18. adx : 0.263612
  19. kc_percentage : 0.333478
  20. kc_width_percentage : 0.0343092
  21. volume_ema_diff : -0.2688
  22. volume_ema1 : 183992.28957745
  23. volume_ema2 : 251630.71845624
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.311521
  28. ema21 : 0.311816
  29. ema50 : 0.313188
  30. ema100 : 0.313859
  31. price_ema9_diff : 0.00410264
  32. ema9_ema21_diff : -0.000945763
  33. ema21_ema50_diff : -0.00437989
  34. price_ema100_diff : -0.00337601
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00153105
  38. ema_slope_21 : -0.0322829
  39. ema_slope_50 : -0.0336318
  40. ema_slope_100 : -0.0199339
  41. rsi : 0.52913
  42. adx : 0.370906
  43. kc_percentage : 0.69276
  44. kc_width_percentage : 0.0171915
  45. volume_ema_diff : -0.605198
  46. volume_ema1 : 23702.907113224
  47. volume_ema2 : 60037.525808484
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.311833
  52. ema21 : 0.311418
  53. ema50 : 0.311512
  54. ema100 : 0.312275
  55. price_ema9_diff : 0.00309984
  56. ema9_ema21_diff : 0.00133357
  57. ema21_ema50_diff : -0.000301801
  58. price_ema100_diff : 0.00167944
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0190434
  62. ema_slope_21 : 0.00775306
  63. ema_slope_50 : -0.00184317
  64. ema_slope_100 : -0.00672706
  65. rsi : 0.615237
  66. adx : 0.200651
  67. kc_percentage : 1.02575
  68. kc_width_percentage : 0.00830599
  69. volume_ema_diff : -0.727676
  70. volume_ema1 : 5128.3795960322
  71. volume_ema2 : 18831.922488338
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115035
  77. 5m_price_ema100_diff:
    -2.29935E-5
  78. 5m_price:
    115032
  79. 5m_correlation_with_coin:
    0.531462
  80. btc_indicators
  81. 15m_ema100:
    114935
  82. 15m_price_ema100_diff:
    0.000847767
  83. 15m_price:
    115032
  84. 15m_correlation_with_coin:
    0.226768
  85. btc_indicators
  86. 1H_ema100:
    113650
  87. 1H_price_ema100_diff:
    0.0121604
  88. 1H_price:
    115032
  89. 1H_correlation_with_coin:
    -0.248401
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Sep 2025
12:09:37
12 Sep 2025
12:15:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3128 0.3138 0.3108 2 0.0735
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 0.3128
  • Stop Loss: 0.3138
  • Take Profit: 0.3108

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3138 - 0.3128 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3128 - 0.3108 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.001 = 2

📌 Position Size

Amount Margin Quantity Leverage
2553.4134 100 8163.0864 25.53
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.3128 = 2502.4

Donc, tu peux acheter 8000 avec un stoploss a 0.3138

Avec un position size USD de 2502.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8000
  • Taille de position USD 2502.4
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.64 % 16.33 $
SL % Target SL $ Target
0.32 % 8.16 $
PNL PNL %
-8.16 $ -0.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3197 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3108
            [entry_price] => 0.3128
            [stop_loss] => 0.3139
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-12 12:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3108
            [entry_price] => 0.3128
            [stop_loss] => 0.314
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-12 12:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3108
            [entry_price] => 0.3128
            [stop_loss] => 0.3141
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-12 12:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3108
            [entry_price] => 0.3128
            [stop_loss] => 0.3143
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-12 12:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.003
            [rr_ratio] => 0
            [high] => 0.31580000
            [low] => 0.31280000
            [mfe_pct] => 0
            [mae_pct] => 0.96
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-09-12T12:09:37-04:00
            [end_at] => 2025-09-12T14:09:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.0062
            [rr_ratio] => 0
            [high] => 0.31900000
            [low] => 0.31280000
            [mfe_pct] => 0
            [mae_pct] => 1.98
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 84
            [start_at] => 2025-09-12T12:09:37-04:00
            [end_at] => 2025-09-12T19:09:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.31300000
            [high_after] => 0.31780000
            [low_before] => 0.30920000
            [low_after] => 0.31280000
            [is_new_high] => 
            [is_new_low] => 
        )

)