Long Trade on BANANA 14 Sep 2025 at 00:08:06

Take profit at 23.5297 (1.82 %) and Stop Loss at 22.9002 (0.91 %)

Long Trade on BANANA

The 14 Sep 2025 at 00:08:06

With 38.1244 BANANA at 23.11$ per unit.

Position size of 881.0557 $

Take profit at 23.5297 (1.82 %) and Stop Loss at 22.9002 (0.91 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.52
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
0 0.56
Prediction 3 Probability
0 0.57
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_medium

BTC Correlation Score

5m : 0.214482

15m : 0.09977

1H : -0.029397

1

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.1398927866
Details
  1. score: 2.22
  2. 1H
  3. ema9 : 23.1791
  4. ema21 : 22.7809
  5. ema50 : 22.2052
  6. ema100 : 21.6502
  7. price_ema9_diff : -0.00298201
  8. ema9_ema21_diff : 0.0174791
  9. ema21_ema50_diff : 0.0259253
  10. price_ema100_diff : 0.0674249
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.379611
  14. ema_slope_21 : 0.278089
  15. ema_slope_50 : 0.199369
  16. ema_slope_100 : 0.145154
  17. rsi : 0.583142
  18. adx : 0.41415
  19. kc_percentage : 0.672362
  20. kc_width_percentage : 0.0757279
  21. volume_ema_diff : 0.471434
  22. volume_ema1 : 258695.65554989
  23. volume_ema2 : 175811.81715588
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 23.4574
  28. ema21 : 23.3886
  29. ema50 : 23.0377
  30. ema100 : 22.7262
  31. price_ema9_diff : -0.0148119
  32. ema9_ema21_diff : 0.00294349
  33. ema21_ema50_diff : 0.0152307
  34. price_ema100_diff : 0.0168876
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0565925
  38. ema_slope_21 : 0.117772
  39. ema_slope_50 : 0.119138
  40. ema_slope_100 : 0.0849365
  41. rsi : 0.451019
  42. adx : 0.286523
  43. kc_percentage : 0.229741
  44. kc_width_percentage : 0.0465991
  45. volume_ema_diff : -0.380728
  46. volume_ema1 : 48574.163718878
  47. volume_ema2 : 78437.557812523
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 23.3539
  52. ema21 : 23.5015
  53. ema50 : 23.4722
  54. ema100 : 23.2402
  55. price_ema9_diff : -0.0104454
  56. ema9_ema21_diff : -0.00628181
  57. ema21_ema50_diff : 0.00125105
  58. price_ema100_diff : -0.00560345
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.175561
  62. ema_slope_21 : -0.0907413
  63. ema_slope_50 : -0.0133749
  64. ema_slope_100 : 0.0177263
  65. rsi : 0.299717
  66. adx : 0.35697
  67. kc_percentage : -0.216342
  68. kc_width_percentage : 0.0233105
  69. volume_ema_diff : -0.381395
  70. volume_ema1 : 16962.439201298
  71. volume_ema2 : 27420.492236654
  72. regime : bear_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115794
  77. 5m_price_ema100_diff:
    -0.00173642
  78. 5m_price:
    115593
  79. 5m_correlation_with_coin:
    0.214482
  80. btc_indicators
  81. 15m_ema100:
    115779
  82. 15m_price_ema100_diff:
    -0.00160613
  83. 15m_price:
    115593
  84. 15m_correlation_with_coin:
    0.09977
  85. btc_indicators
  86. 1H_ema100:
    114641
  87. 1H_price_ema100_diff:
    0.00830361
  88. 1H_price:
    115593
  89. 1H_correlation_with_coin:
    -0.029397
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Sep 2025
00:08:06
14 Sep 2025
00:15:00
6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
23.11 22.9002 23.5297 2 4.195
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 23.11
  • Stop Loss: 22.9002
  • Take Profit: 23.5297

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 22.9002 - 23.11 = -0.2098

  • Récompense (distance jusqu'au take profit):

    E - TP = 23.11 - 23.5297 = -0.4197

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.4197 / -0.2098 = 2.0005

📌 Position Size

Amount Margin Quantity Leverage
881.0557 100 38.1244 8.81
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 -0.2098

Taille de position = 8 / -0.2098 = -38.13

Taille de position USD = -38.13 x 23.11 = -881.18

Donc, tu peux acheter -38.13 avec un stoploss a 22.9002

Avec un position size USD de -881.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -38.13 x -0.2098 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -38.13 x -0.4197 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -38.13
  • Taille de position USD -881.18
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2.0005

📌 Peformances

TP % Target TP $ Target
1.82 % 16 $
SL % Target SL $ Target
0.91 % 8 $
PNL PNL %
-8 $ -0.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4409 % 158.72 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 23.5297
            [entry_price] => 23.11
            [stop_loss] => 22.87922
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-14 00:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 23.5297
            [entry_price] => 23.11
            [stop_loss] => 22.85824
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-14 00:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 23.5297
            [entry_price] => 23.11
            [stop_loss] => 22.83726
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-14 00:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 23.5297
            [entry_price] => 23.11
            [stop_loss] => 22.7953
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-14 00:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.587
            [max_drawdown] => 0.333
            [rr_ratio] => 1.76
            [high] => 23.69700000
            [low] => 22.77700000
            [mfe_pct] => 2.54
            [mae_pct] => 1.44
            [mfe_mae_ratio] => 1.76
            [candles_analyzed] => 24
            [start_at] => 2025-09-14T00:08:06-04:00
            [end_at] => 2025-09-14T02:08:06-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.619
            [max_drawdown] => 0.333
            [rr_ratio] => 1.86
            [high] => 23.72900000
            [low] => 22.77700000
            [mfe_pct] => 2.68
            [mae_pct] => 1.44
            [mfe_mae_ratio] => 1.86
            [candles_analyzed] => 84
            [start_at] => 2025-09-14T00:08:06-04:00
            [end_at] => 2025-09-14T07:08:06-04:00
        )

    [breakout] => Array
        (
            [high_before] => 24.09000000
            [high_after] => 23.72900000
            [low_before] => 23.05000000
            [low_after] => 22.77700000
            [is_new_high] => 
            [is_new_low] => 
        )

)