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Short Trade on BANANAS31

Short Trade on BANANAS31

The 28 Nov 2025 at 14:05:50

With 106984.8205 BANANAS31 at 0.004364$ per unit.

Position size of 466.8818 $

Take profit at 0.004214 (3.44 %) and Stop Loss at 0.004439 (1.72 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.74
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.52
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.5
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_high
BTC Correlation Score

5m : -0.100872

15m : -0.015977

1H : -0.033379

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 4.985130891E-5
Details
  1. score: 1.01
  2. 1H
  3. ema9 - 0.0042163
  4. ema21 - 0.00438144
  5. ema50 - 0.00457665
  6. ema100 - 0.0045069
  7. price_ema9_diff - 0.0350304
  8. ema9_ema21_diff - -0.0376922
  9. ema21_ema50_diff - -0.0426537
  10. price_ema100_diff - -0.0317083
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.647365
  14. ema_slope_21 - -0.790868
  15. ema_slope_50 - -0.442145
  16. ema_slope_100 - -0.170884
  17. rsi - 0.468706
  18. adx - 0.324322
  19. kc_percentage - 0.497074
  20. kc_width_percentage - 0.189478
  21. volume_ema_diff - -0.588728
  22. volume_ema1 - 310998.0656128
  23. volume_ema2 - 756186.45053244
  24. chop - 67.7298
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.00425946
  28. ema21 - 0.00419521
  29. ema50 - 0.00425257
  30. ema100 - 0.00443673
  31. price_ema9_diff - 0.0245427
  32. ema9_ema21_diff - 0.0153143
  33. ema21_ema50_diff - -0.0134888
  34. price_ema100_diff - -0.0163942
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.435123
  38. ema_slope_21 - 0.192743
  39. ema_slope_50 - -0.0387351
  40. ema_slope_100 - -0.112471
  41. rsi - 0.622392
  42. adx - 0.28852
  43. kc_percentage - 0.928704
  44. kc_width_percentage - 0.08913
  45. volume_ema_diff - -0.461101
  46. volume_ema1 - 65580.930582965
  47. volume_ema2 - 121694.4269722
  48. chop - 44.5349
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.004302
  52. ema21 - 0.00426145
  53. ema50 - 0.00419498
  54. ema100 - 0.00416684
  55. price_ema9_diff - 0.0144098
  56. ema9_ema21_diff - 0.00951536
  57. ema21_ema50_diff - 0.015847
  58. price_ema100_diff - 0.0473148
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.155355
  62. ema_slope_21 - 0.176294
  63. ema_slope_50 - 0.133002
  64. ema_slope_100 - 0.0738973
  65. rsi - 0.644506
  66. adx - 0.321575
  67. kc_percentage - 1.00533
  68. kc_width_percentage - 0.0449601
  69. volume_ema_diff - -0.39005
  70. volume_ema1 - 20899.685484862
  71. volume_ema2 - 34264.633927316
  72. chop - 54.4545
  73. regime - bull_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 91347.6
  77. 5m_price_ema100_diff: -0.00535881
  78. 5m_price: 90858.1
  79. 5m_correlation_with_coin: -0.100872
  80. btc_indicators
  81. 15m_ema100: 91377.2
  82. 15m_price_ema100_diff: -0.00568156
  83. 15m_price: 90858.1
  84. 15m_correlation_with_coin: -0.015977
  85. btc_indicators
  86. 1H_ema100: 89800.2
  87. 1H_price_ema100_diff: 0.0117797
  88. 1H_price: 90858.1
  89. 1H_correlation_with_coin: -0.033379
    90. ¸

📌 Time Data

Start at Closed at Duration
28 Nov 2025
14:05:50		 28 Nov 2025
15:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.004364 0.004439 0.004214 2 0.003324
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 0.004364
  • Stop Loss: 0.004439
  • Take Profit: 0.004214

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.004439 - 0.004364 = 7.5E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.004364 - 0.004214 = 0.00015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00015 / 7.5E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
466.8818 100 106984.8205 4.67
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 7.5E-5

Taille de position = 8 / 7.5E-5 = 106666.67

Taille de position USD = 106666.67 x 0.004364 = 465.49

Donc, tu peux acheter 106666.67 avec un stoploss a 0.004439

Avec un position size USD de 465.49$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 106666.67 x 7.5E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 106666.67 x 0.00015 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 106666.67
  • Taille de position USD 465.49
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.44 % 16.05 $
SL % Target SL $ Target
1.72 % 8.02 $
PNL PNL %
-8.02 $ -1.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.6123 % 152 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.004214
            [entry_price] => 0.004364
            [stop_loss] => 0.0044465
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-28 15:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.004214
            [entry_price] => 0.004364
            [stop_loss] => 0.004454
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-28 15:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.004214
            [entry_price] => 0.004364
            [stop_loss] => 0.0044615
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-28 15:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.004214
            [entry_price] => 0.004364
            [stop_loss] => 0.0044765
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-28 15:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000122
            [max_drawdown] => 0.000328
            [rr_ratio] => 0.37
            [high] => 0.00469200
            [low] => 0.00424200
            [mfe_pct] => 2.8
            [mae_pct] => 7.52
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 24
            [start_at] => 2025-11-28T14:05:50-05:00
            [end_at] => 2025-11-28T16:05:50-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000242
            [max_drawdown] => 0.000328
            [rr_ratio] => 0.74
            [high] => 0.00469200
            [low] => 0.00412200
            [mfe_pct] => 5.55
            [mae_pct] => 7.52
            [mfe_mae_ratio] => 0.74
            [candles_analyzed] => 84
            [start_at] => 2025-11-28T14:05:50-05:00
            [end_at] => 2025-11-28T21:05:50-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00438200
            [high_after] => 0.00469200
            [low_before] => 0.00399000
            [low_after] => 0.00420600
            [is_new_high] => 
            [is_new_low] => 
        )

)