Short Trade on TREE 09 Sep 2025 at 00:44:14

Take profit at 0.325 (0.91 %) and Stop Loss at 0.3295 (0.46 %)

Short Trade on TREE

The 09 Sep 2025 at 00:44:14

With 5356.9407 TREE at 0.328$ per unit.

Position size of 1757.0765 $

Take profit at 0.325 (0.91 %) and Stop Loss at 0.3295 (0.46 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.49
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.64
Prediction 3 Probability
0 0.51
BTC Market Regime Coin Market Regime

ml_regime : neutral

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 : 0.45063

15m : 0.00582

1H : -0.002721

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0009955931278
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.32798
  4. ema21 : 0.330699
  5. ema50 : 0.332018
  6. ema100 : 0.331453
  7. price_ema9_diff : 6.00606E-5
  8. ema9_ema21_diff : -0.0082224
  9. ema21_ema50_diff : -0.00397237
  10. price_ema100_diff : -0.0104206
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.179102
  14. ema_slope_21 : -0.129961
  15. ema_slope_50 : -0.051792
  16. ema_slope_100 : -0.0180927
  17. rsi : 0.440854
  18. adx : 0.190908
  19. kc_percentage : 0.354969
  20. kc_width_percentage : 0.0533861
  21. volume_ema_diff : -0.226146
  22. volume_ema1 : 302418.69280879
  23. volume_ema2 : 390795.60360171
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.325566
  28. ema21 : 0.326638
  29. ema50 : 0.32905
  30. ema100 : 0.331721
  31. price_ema9_diff : 0.00747584
  32. ema9_ema21_diff : -0.00328368
  33. ema21_ema50_diff : -0.00733006
  34. price_ema100_diff : -0.0112191
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0965789
  38. ema_slope_21 : -0.0853472
  39. ema_slope_50 : -0.0630538
  40. ema_slope_100 : -0.0458569
  41. rsi : 0.483199
  42. adx : 0.312179
  43. kc_percentage : 0.691801
  44. kc_width_percentage : 0.0232013
  45. volume_ema_diff : -0.326237
  46. volume_ema1 : 54484.123746542
  47. volume_ema2 : 80865.479763573
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 0.326113
  52. ema21 : 0.325525
  53. ema50 : 0.326166
  54. ema100 : 0.327094
  55. price_ema9_diff : 0.00578579
  56. ema9_ema21_diff : 0.00180532
  57. ema21_ema50_diff : -0.00196557
  58. price_ema100_diff : 0.00276742
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0390076
  62. ema_slope_21 : 0.0118902
  63. ema_slope_50 : -0.0101303
  64. ema_slope_100 : -0.0113939
  65. rsi : 0.678875
  66. adx : 0.254031
  67. kc_percentage : 1.13313
  68. kc_width_percentage : 0.0118793
  69. volume_ema_diff : -0.217954
  70. volume_ema1 : 22635.506935994
  71. volume_ema2 : 28943.964371608
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111714
  77. 5m_price_ema100_diff:
    0.0013728
  78. 5m_price:
    111867
  79. 5m_correlation_with_coin:
    0.45063
  80. btc_indicators
  81. 15m_ema100:
    111746
  82. 15m_price_ema100_diff:
    0.00163677
  83. 15m_price:
    111929
  84. 15m_correlation_with_coin:
    0.00582
  85. btc_indicators
  86. 1H_ema100:
    111314
  87. 1H_price_ema100_diff:
    0.00496518
  88. 1H_price:
    111867
  89. 1H_correlation_with_coin:
    -0.002721
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
00:44:14
09 Sep 2025
01:30:00
45 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.328 0.3295 0.325 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 0.328
  • Stop Loss: 0.3295
  • Take Profit: 0.325

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3295 - 0.328 = 0.0015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.328 - 0.325 = 0.003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.003 / 0.0015 = 2

📌 Position Size

Amount Margin Quantity Leverage
1757.0765 100 5356.9407 17.57
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 0.0015

Taille de position = 8 / 0.0015 = 5333.33

Taille de position USD = 5333.33 x 0.328 = 1749.33

Donc, tu peux acheter 5333.33 avec un stoploss a 0.3295

Avec un position size USD de 1749.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5333.33 x 0.0015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5333.33 x 0.003 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 5333.33
  • Taille de position USD 1749.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.91 % 16.07 $
SL % Target SL $ Target
0.46 % 8.04 $
PNL PNL %
-8.04 $ -0.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4878 % 106.67 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.325
            [entry_price] => 0.328
            [stop_loss] => 0.32965
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 01:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.325
            [entry_price] => 0.328
            [stop_loss] => 0.3298
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 01:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.325
            [entry_price] => 0.328
            [stop_loss] => 0.32995
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 01:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.325
            [entry_price] => 0.328
            [stop_loss] => 0.33025
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 01:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0018
            [max_drawdown] => 0.0052
            [rr_ratio] => 0.35
            [high] => 0.33320000
            [low] => 0.32620000
            [mfe_pct] => 0.55
            [mae_pct] => 1.59
            [mfe_mae_ratio] => 0.35
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T00:44:14-04:00
            [end_at] => 2025-09-09T02:44:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0023
            [max_drawdown] => 0.0065
            [rr_ratio] => 0.35
            [high] => 0.33450000
            [low] => 0.32570000
            [mfe_pct] => 0.7
            [mae_pct] => 1.98
            [mfe_mae_ratio] => 0.35
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T00:44:14-04:00
            [end_at] => 2025-09-09T07:44:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.33040000
            [high_after] => 0.33450000
            [low_before] => 0.32140000
            [low_after] => 0.32620000
            [is_new_high] => 
            [is_new_low] => 
        )

)