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Short Trade on TREE

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Short Trade on TREE 12 Sep 2025 at 13:04:46

Take profit at 0.3124 (0.54 %) and Stop Loss at 0.3149 (0.25 %)

Short Trade on TREE

The 12 Sep 2025 at 13:04:46

With 9560.164 TREE at 0.3141$ per unit.

Position size of 3002.8475 $

Take profit at 0.3124 (0.54 %) and Stop Loss at 0.3149 (0.25 %)

That's a 2.12 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.16
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.88
Prediction 2 Probability
0 0.44
Prediction 3 Probability
0 0.52
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 : 0.560399

15m : 0.007773

1H : -0.182185

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0005578704863
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.313447
  4. ema21 : 0.31479
  5. ema50 : 0.318047
  6. ema100 : 0.322174
  7. price_ema9_diff : 0.00208127
  8. ema9_ema21_diff : -0.00426587
  9. ema21_ema50_diff : -0.0102412
  10. price_ema100_diff : -0.0250622
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.107641
  14. ema_slope_21 : -0.0851861
  15. ema_slope_50 : -0.0742798
  16. ema_slope_100 : -0.0606536
  17. rsi : 0.456435
  18. adx : 0.250083
  19. kc_percentage : 0.445147
  20. kc_width_percentage : 0.0330936
  21. volume_ema_diff : -0.456823
  22. volume_ema1 : 131851.3029183
  23. volume_ema2 : 242740.97945437
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.312939
  27. ema21 : 0.312483
  28. ema50 : 0.313296
  29. ema100 : 0.313861
  30. price_ema9_diff : 0.00370895
  31. ema9_ema21_diff : 0.00145984
  32. ema21_ema50_diff : -0.00259527
  33. price_ema100_diff : 0.000758839
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0528676
  37. ema_slope_21 : 0.00727678
  38. ema_slope_50 : -0.0148944
  39. ema_slope_100 : -0.0111986
  40. rsi : 0.570776
  41. adx : 0.275621
  42. kc_percentage : 0.833185
  43. kc_width_percentage : 0.0155323
  44. volume_ema_diff : -0.777663
  45. volume_ema1 : 12097.437852818
  46. volume_ema2 : 54410.604975679
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.3136
  50. ema21 : 0.312899
  51. ema50 : 0.312284
  52. ema100 : 0.312554
  53. price_ema9_diff : 0.001593
  54. ema9_ema21_diff : 0.0022416
  55. ema21_ema50_diff : 0.00196707
  56. price_ema100_diff : 0.00494559
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0537221
  60. ema_slope_21 : 0.043345
  61. ema_slope_50 : 0.0219783
  62. ema_slope_100 : 0.00760355
  63. rsi : 0.632392
  64. adx : 0.208415
  65. kc_percentage : 1.03836
  66. kc_width_percentage : 0.00682044
  67. volume_ema_diff : -0.552367
  68. volume_ema1 : 5880.403828553
  69. volume_ema2 : 13136.681578939
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115070
  74. 5m_price_ema100_diff: 
    0.00243525
  75. 5m_price: 
    115351
  76. 5m_correlation_with_coin: 
    0.560399
  77. btc_indicators
  78. 15m_ema100: 
    114967
  79. 15m_price_ema100_diff: 
    0.0033371
  80. 15m_price: 
    115351
  81. 15m_correlation_with_coin: 
    0.007773
  82. btc_indicators
  83. 1H_ema100: 
    113788
  84. 1H_price_ema100_diff: 
    0.0137306
  85. 1H_price: 
    115351
  86. 1H_correlation_with_coin: 
    -0.182185
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Sep 2025
13:04:46		 12 Sep 2025
13:15:00		 10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3141 0.3149 0.3124 2.12 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 0.3141
  • Stop Loss: 0.3149
  • Take Profit: 0.3124

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3149 - 0.3141 = 0.00080000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3141 - 0.3124 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.00080000000000002 = 2.125

📌 Position Size

Amount Margin Quantity Leverage
3002.8475 100 9560.164 30.03
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 0.00080000000000002

Taille de position = 8 / 0.00080000000000002 = 10000

Taille de position USD = 10000 x 0.3141 = 3141

Donc, tu peux acheter 10000 avec un stoploss a 0.3149

Avec un position size USD de 3141$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.00080000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0017 = 17

Si Take Profit atteint, tu gagneras 17$

Résumé

  • Taille de position 10000
  • Taille de position USD 3141
  • Perte potentielle 8
  • Gain potentiel 17
  • Risk-Reward Ratio 2.125

📌 Peformances

TP % Target TP $ Target
0.54 % 16.25 $
SL % Target SL $ Target
0.25 % 7.65 $
PNL PNL %
-7.65 $ -0.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3502 % 137.5 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3124
            [entry_price] => 0.3141
            [stop_loss] => 0.31498
            [rr_ratio] => 1.93
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-12 13:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3124
            [entry_price] => 0.3141
            [stop_loss] => 0.31506
            [rr_ratio] => 1.77
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-12 13:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3124
            [entry_price] => 0.3141
            [stop_loss] => 0.31514
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-12 13:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3124
            [entry_price] => 0.3141
            [stop_loss] => 0.3153
            [rr_ratio] => 1.42
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-12 13:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00040000000000001
            [max_drawdown] => 0.0029
            [rr_ratio] => 0.14
            [high] => 0.31700000
            [low] => 0.31370000
            [mfe_pct] => 0.13
            [mae_pct] => 0.92
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 24
            [start_at] => 2025-09-12T13:04:46-04:00
            [end_at] => 2025-09-12T15:04:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00040000000000001
            [max_drawdown] => 0.0049
            [rr_ratio] => 0.08
            [high] => 0.31900000
            [low] => 0.31370000
            [mfe_pct] => 0.13
            [mae_pct] => 1.56
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 84
            [start_at] => 2025-09-12T13:04:46-04:00
            [end_at] => 2025-09-12T20:04:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.31450000
            [high_after] => 0.31900000
            [low_before] => 0.30920000
            [low_after] => 0.31370000
            [is_new_high] => 
            [is_new_low] => 
        )

)