Long Trade on TREE 15 Sep 2025 at 00:42:13

Take profit at 0.3653 (5.58 %) and Stop Loss at 0.3364 (2.77 %)

Long Trade on TREE

The 15 Sep 2025 at 00:42:13

With 830.5287 TREE at 0.346$ per unit.

Position size of 287.3629 $

Take profit at 0.3653 (5.58 %) and Stop Loss at 0.3364 (2.77 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.26
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.82
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_high

BTC Correlation Score

5m : 0.17601

15m : -0.295508

1H : 0.035926

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.006421612182
Details
  1. score: 2.13
  2. 1H
  3. ema9 : 0.352512
  4. ema21 : 0.34445
  5. ema50 : 0.334902
  6. ema100 : 0.329488
  7. price_ema9_diff : -0.0184743
  8. ema9_ema21_diff : 0.0234049
  9. ema21_ema50_diff : 0.0285103
  10. price_ema100_diff : 0.0501109
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.563034
  14. ema_slope_21 : 0.398732
  15. ema_slope_50 : 0.246868
  16. ema_slope_100 : 0.143567
  17. rsi : 0.526771
  18. adx : 0.349463
  19. kc_percentage : 0.517211
  20. kc_width_percentage : 0.171277
  21. volume_ema_diff : 2.15486
  22. volume_ema1 : 3265183.7088537
  23. volume_ema2 : 1034967.5347133
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.364513
  28. ema21 : 0.35942
  29. ema50 : 0.35087
  30. ema100 : 0.343655
  31. price_ema9_diff : -0.0507896
  32. ema9_ema21_diff : 0.0141711
  33. ema21_ema50_diff : 0.0243669
  34. price_ema100_diff : 0.00682194
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.366857
  38. ema_slope_21 : 0.297766
  39. ema_slope_50 : 0.207984
  40. ema_slope_100 : 0.139518
  41. rsi : 0.533421
  42. adx : 0.42861
  43. kc_percentage : 0.107321
  44. kc_width_percentage : 0.101739
  45. volume_ema_diff : 0.376831
  46. volume_ema1 : 682993.67302095
  47. volume_ema2 : 496062.07712836
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 0.359
  52. ema21 : 0.362954
  53. ema50 : 0.360228
  54. ema100 : 0.355206
  55. price_ema9_diff : -0.0362122
  56. ema9_ema21_diff : -0.0108941
  57. ema21_ema50_diff : 0.00756549
  58. price_ema100_diff : -0.0259192
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.258429
  62. ema_slope_21 : -0.0477753
  63. ema_slope_50 : 0.0506795
  64. ema_slope_100 : 0.0589984
  65. rsi : 0.33433
  66. adx : 0.284787
  67. kc_percentage : -0.130309
  68. kc_width_percentage : 0.0775061
  69. volume_ema_diff : 0.773053
  70. volume_ema1 : 564892.15714097
  71. volume_ema2 : 318598.51256302
  72. regime : bear_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115455
  77. 5m_price_ema100_diff:
    0.00336036
  78. 5m_price:
    115843
  79. 5m_correlation_with_coin:
    0.17601
  80. btc_indicators
  81. 15m_ema100:
    115527
  82. 15m_price_ema100_diff:
    0.00356397
  83. 15m_price:
    115939
  84. 15m_correlation_with_coin:
    -0.295508
  85. btc_indicators
  86. 1H_ema100:
    115281
  87. 1H_price_ema100_diff:
    0.00487755
  88. 1H_price:
    115843
  89. 1H_correlation_with_coin:
    0.035926
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
00:42:13
15 Sep 2025
01:45:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.346 0.3364 0.3653 2.01 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 0.346
  • Stop Loss: 0.3364
  • Take Profit: 0.3653

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3364 - 0.346 = -0.0096

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.346 - 0.3653 = -0.0193

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0193 / -0.0096 = 2.0104

📌 Position Size

Amount Margin Quantity Leverage
287.3629 100 830.5287 2.87
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 -0.0096

Taille de position = 8 / -0.0096 = -833.33

Taille de position USD = -833.33 x 0.346 = -288.33

Donc, tu peux acheter -833.33 avec un stoploss a 0.3364

Avec un position size USD de -288.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -833.33 x -0.0096 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -833.33 x -0.0193 = 16.08

Si Take Profit atteint, tu gagneras 16.08$

Résumé

  • Taille de position -833.33
  • Taille de position USD -288.33
  • Perte potentielle 8
  • Gain potentiel 16.08
  • Risk-Reward Ratio 2.0104

📌 Peformances

TP % Target TP $ Target
5.58 % 16.03 $
SL % Target SL $ Target
2.77 % 7.97 $
PNL PNL %
-7.97 $ -2.77
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.8266 % 173.96 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3653
            [entry_price] => 0.346
            [stop_loss] => 0.33544
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 01:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3653
            [entry_price] => 0.346
            [stop_loss] => 0.33448
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 01:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3653
            [entry_price] => 0.346
            [stop_loss] => 0.33352
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 01:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3653
            [entry_price] => 0.346
            [stop_loss] => 0.3316
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 01:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0034
            [max_drawdown] => 0.0167
            [rr_ratio] => 0.2
            [high] => 0.34940000
            [low] => 0.32930000
            [mfe_pct] => 0.98
            [mae_pct] => 4.83
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T00:42:13-04:00
            [end_at] => 2025-09-15T02:42:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0034
            [max_drawdown] => 0.0212
            [rr_ratio] => 0.16
            [high] => 0.34940000
            [low] => 0.32480000
            [mfe_pct] => 0.98
            [mae_pct] => 6.13
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T00:42:13-04:00
            [end_at] => 2025-09-15T07:42:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.38380000
            [high_after] => 0.34940000
            [low_before] => 0.33890000
            [low_after] => 0.32480000
            [is_new_high] => 
            [is_new_low] => 
        )

)