Short Trade on TREE 16 Sep 2025 at 13:14:37

Take profit at 0.3098 (0.9 %) and Stop Loss at 0.314 (0.45 %)

Short Trade on TREE

The 16 Sep 2025 at 13:14:37

With 5715.3182 TREE at 0.3126$ per unit.

Position size of 1786.6085 $

Take profit at 0.3098 (0.9 %) and Stop Loss at 0.314 (0.45 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.27
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.67
Prediction 2 Probability
2 0.48
Prediction 3 Probability
1 0.62
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.622802

15m : 0.075233

1H : -0.040036

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.0009331647179
Details
  1. score: 1.16
  2. 1H
  3. ema9 : 0.312469
  4. ema21 : 0.316355
  5. ema50 : 0.322329
  6. ema100 : 0.323233
  7. price_ema9_diff : 0.000417028
  8. ema9_ema21_diff : -0.0122831
  9. ema21_ema50_diff : -0.0185331
  10. price_ema100_diff : -0.032898
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.161707
  14. ema_slope_21 : -0.204611
  15. ema_slope_50 : -0.146562
  16. ema_slope_100 : -0.0703407
  17. rsi : 0.413283
  18. adx : 0.249767
  19. kc_percentage : 0.318784
  20. kc_width_percentage : 0.0604301
  21. volume_ema_diff : -0.561342
  22. volume_ema1 : 290552.00746586
  23. volume_ema2 : 662367.09549457
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.310437
  28. ema21 : 0.311068
  29. ema50 : 0.313468
  30. ema100 : 0.317068
  31. price_ema9_diff : 0.0069657
  32. ema9_ema21_diff : -0.00202756
  33. ema21_ema50_diff : -0.00765601
  34. price_ema100_diff : -0.0140927
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.048194
  38. ema_slope_21 : -0.0657469
  39. ema_slope_50 : -0.0610236
  40. ema_slope_100 : -0.052614
  41. rsi : 0.538811
  42. adx : 0.288146
  43. kc_percentage : 0.701072
  44. kc_width_percentage : 0.02559
  45. volume_ema_diff : -0.593703
  46. volume_ema1 : 42870.197103945
  47. volume_ema2 : 105514.47090196
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 0.310767
  52. ema21 : 0.310266
  53. ema50 : 0.310657
  54. ema100 : 0.312061
  55. price_ema9_diff : 0.00589532
  56. ema9_ema21_diff : 0.00161476
  57. ema21_ema50_diff : -0.00125574
  58. price_ema100_diff : 0.001726
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0161326
  62. ema_slope_21 : 0.00954754
  63. ema_slope_50 : -0.0063858
  64. ema_slope_100 : -0.0133634
  65. rsi : 0.65322
  66. adx : 0.167791
  67. kc_percentage : 1.15745
  68. kc_width_percentage : 0.0112712
  69. volume_ema_diff : -0.603409
  70. volume_ema1 : 11815.444573719
  71. volume_ema2 : 29792.546708777
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115474
  77. 5m_price_ema100_diff:
    0.00841897
  78. 5m_price:
    116447
  79. 5m_correlation_with_coin:
    0.622802
  80. btc_indicators
  81. 15m_ema100:
    115300
  82. 15m_price_ema100_diff:
    0.00994454
  83. 15m_price:
    116447
  84. 15m_correlation_with_coin:
    0.075233
  85. btc_indicators
  86. 1H_ema100:
    115444
  87. 1H_price_ema100_diff:
    0.00868166
  88. 1H_price:
    116447
  89. 1H_correlation_with_coin:
    -0.040036
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
13:14:37
16 Sep 2025
16:50:00
3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3126 0.314 0.3098 2 0.0729
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 0.3126
  • Stop Loss: 0.314
  • Take Profit: 0.3098

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.314 - 0.3126 = 0.0014

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3126 - 0.3098 = 0.0028

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0028 / 0.0014 = 2

📌 Position Size

Amount Margin Quantity Leverage
1786.6085 100 5715.3182 17.87
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 0.0014

Taille de position = 8 / 0.0014 = 5714.29

Taille de position USD = 5714.29 x 0.3126 = 1786.29

Donc, tu peux acheter 5714.29 avec un stoploss a 0.314

Avec un position size USD de 1786.29$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5714.29 x 0.0014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5714.29 x 0.0028 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 5714.29
  • Taille de position USD 1786.29
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.9 % 16 $
SL % Target SL $ Target
0.45 % 8 $
PNL PNL %
-8 $ -0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4798 % 107.12 % 18

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3098
            [entry_price] => 0.3126
            [stop_loss] => 0.31414
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 17:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3098
            [entry_price] => 0.3126
            [stop_loss] => 0.31428
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 17:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3098
            [entry_price] => 0.3126
            [stop_loss] => 0.31442
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 17:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3098
            [entry_price] => 0.3126
            [stop_loss] => 0.3147
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 17:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0017
            [max_drawdown] => 0.0013
            [rr_ratio] => 1.31
            [high] => 0.31390000
            [low] => 0.31090000
            [mfe_pct] => 0.54
            [mae_pct] => 0.42
            [mfe_mae_ratio] => 1.31
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T13:14:37-04:00
            [end_at] => 2025-09-16T15:14:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0017
            [max_drawdown] => 0.0046
            [rr_ratio] => 0.37
            [high] => 0.31720000
            [low] => 0.31090000
            [mfe_pct] => 0.54
            [mae_pct] => 1.47
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T13:14:37-04:00
            [end_at] => 2025-09-16T20:14:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.31610000
            [high_after] => 0.31720000
            [low_before] => 0.30400000
            [low_after] => 0.31090000
            [is_new_high] => 
            [is_new_low] => 
        )

)