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Short Trade on TREE

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Short Trade on TREE 16 Sep 2025 at 18:00:48

Take profit at 0.3137 (0.48 %) and Stop Loss at 0.316 (0.25 %)

Short Trade on TREE

The 16 Sep 2025 at 18:00:48

With 10629.8968 TREE at 0.3152$ per unit.

Position size of 3350.5435 $

Take profit at 0.3137 (0.48 %) and Stop Loss at 0.316 (0.25 %)

That's a 1.87 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.02
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.94
Prediction 2 Probability
0 0.58
Prediction 3 Probability
0 0.57
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.557083

15m : -0.101366

1H : -0.087162

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.0005017295519
Details
  1. score: 1.22
  2. 1H
  3. ema9 : 0.31348
  4. ema21 : 0.315377
  5. ema50 : 0.320863
  6. ema100 : 0.323102
  7. price_ema9_diff : 0.00548568
  8. ema9_ema21_diff : -0.00601542
  9. ema21_ema50_diff : -0.0170982
  10. price_ema100_diff : -0.0244569
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0736397
  14. ema_slope_21 : -0.142582
  15. ema_slope_50 : -0.129604
  16. ema_slope_100 : -0.0729525
  17. rsi : 0.467718
  18. adx : 0.241033
  19. kc_percentage : 0.504192
  20. kc_width_percentage : 0.0445941
  21. volume_ema_diff : -0.872485
  22. volume_ema1 : 69645.471213062
  23. volume_ema2 : 546178.4327228
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.313842
  27. ema21 : 0.313017
  28. ema50 : 0.313248
  29. ema100 : 0.315495
  30. price_ema9_diff : 0.00432561
  31. ema9_ema21_diff : 0.00263636
  32. ema21_ema50_diff : -0.000736762
  33. price_ema100_diff : -0.000935935
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.045522
  37. ema_slope_21 : 0.0318192
  38. ema_slope_50 : 0.00214427
  39. ema_slope_100 : -0.0156546
  40. rsi : 0.626718
  41. adx : 0.150216
  42. kc_percentage : 0.976294
  43. kc_width_percentage : 0.0142771
  44. volume_ema_diff : -0.88432
  45. volume_ema1 : 5922.1315075306
  46. volume_ema2 : 51194.265347607
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.3143
  50. ema21 : 0.313783
  51. ema50 : 0.312962
  52. ema100 : 0.312166
  53. price_ema9_diff : 0.00286182
  54. ema9_ema21_diff : 0.00164678
  55. ema21_ema50_diff : 0.00262404
  56. price_ema100_diff : 0.00971679
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0277804
  60. ema_slope_21 : 0.0250304
  61. ema_slope_50 : 0.0197473
  62. ema_slope_100 : 0.0143392
  63. rsi : 0.677332
  64. adx : 0.384236
  65. kc_percentage : 1.22221
  66. kc_width_percentage : 0.0060617
  67. volume_ema_diff : -0.859016
  68. volume_ema1 : 1351.3679751005
  69. volume_ema2 : 9585.3011288953
  70. regime : bull_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    116183
  74. 5m_price_ema100_diff: 
    0.00499746
  75. 5m_price: 
    116763
  76. 5m_correlation_with_coin: 
    0.557083
  77. btc_indicators
  78. 15m_ema100: 
    115807
  79. 15m_price_ema100_diff: 
    0.00825785
  80. 15m_price: 
    116763
  81. 15m_correlation_with_coin: 
    -0.101366
  82. btc_indicators
  83. 1H_ema100: 
    115740
  84. 1H_price_ema100_diff: 
    0.00884594
  85. 1H_price: 
    116763
  86. 1H_correlation_with_coin: 
    -0.087162
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
18:00:48		 16 Sep 2025
18:05:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3152 0.316 0.3137 1.87 0.0773
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 0.3152
  • Stop Loss: 0.316
  • Take Profit: 0.3137

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.316 - 0.3152 = 0.00080000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3152 - 0.3137 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.00080000000000002 = 1.875

📌 Position Size

Amount Margin Quantity Leverage
3350.5435 100 10629.8968 33.51
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 0.3152 = 3152

Donc, tu peux acheter 10000 avec un stoploss a 0.316

Avec un position size USD de 3152$

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 0.0015 = 15

Si Take Profit atteint, tu gagneras 15$

Résumé

  • Taille de position 10000
  • Taille de position USD 3152
  • Perte potentielle 8
  • Gain potentiel 15
  • Risk-Reward Ratio 1.875

📌 Peformances

TP % Target TP $ Target
0.48 % 15.94 $
SL % Target SL $ Target
0.25 % 8.5 $
PNL PNL %
-8.5 $ -0.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.349 % 137.51 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3137
            [entry_price] => 0.3152
            [stop_loss] => 0.31608
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 18:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3137
            [entry_price] => 0.3152
            [stop_loss] => 0.31616
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 18:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3137
            [entry_price] => 0.3152
            [stop_loss] => 0.31624
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 18:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3137
            [entry_price] => 0.3152
            [stop_loss] => 0.3164
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 18:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0015
            [max_drawdown] => 0.002
            [rr_ratio] => 0.75
            [high] => 0.31720000
            [low] => 0.31370000
            [mfe_pct] => 0.48
            [mae_pct] => 0.63
            [mfe_mae_ratio] => 0.75
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T18:00:48-04:00
            [end_at] => 2025-09-16T20:00:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0052
            [max_drawdown] => 0.0022
            [rr_ratio] => 2.36
            [high] => 0.31740000
            [low] => 0.31000000
            [mfe_pct] => 1.65
            [mae_pct] => 0.7
            [mfe_mae_ratio] => 2.36
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T18:00:48-04:00
            [end_at] => 2025-09-17T01:00:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.31560000
            [high_after] => 0.31740000
            [low_before] => 0.31090000
            [low_after] => 0.31270000
            [is_new_high] => 
            [is_new_low] => 
        )

)