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Long Trade on BROCCOLI

Long Trade on BROCCOLI

The 13 Oct 2025 at 06:34:41

With 13342.9071 BROCCOLI at 0.02974$ per unit.

Position size of 396.8181 $

Take profit at 0.03094 (4.03 %) and Stop Loss at 0.02914 (2.02 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.64
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.58
Prediction 2 Probability
0 0.67
Prediction 3 Probability
1 0.65
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_high_confirmed
BTC Correlation Score

5m : 0.379769

15m : 0.015085

1H : -0.103067

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.0003997129916
Details
  1. score: 2.21
  2. 1H
  3. ema9 - 0.0300668
  4. ema21 - 0.0291893
  5. ema50 - 0.0286396
  6. ema100 - 0.030376
  7. price_ema9_diff - -0.0108711
  8. ema9_ema21_diff - 0.0300626
  9. ema21_ema50_diff - 0.0191925
  10. price_ema100_diff - -0.0209407
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.347882
  14. ema_slope_21 - 0.421118
  15. ema_slope_50 - 0.192424
  16. ema_slope_100 - -0.0550888
  17. rsi - 0.547927
  18. adx - 0.401886
  19. kc_percentage - 0.589079
  20. kc_width_percentage - 0.183467
  21. volume_ema_diff - 0.198285
  22. volume_ema1 - 539873.2446184
  23. volume_ema2 - 450538.22714296
  24. chop - 51.624
  25. regime - bull_high
    26. ¸
  26. 15m
  27. ema9 - 0.0306386
  28. ema21 - 0.0304577
  29. ema50 - 0.0298135
  30. ema100 - 0.0290104
  31. price_ema9_diff - -0.0293316
  32. ema9_ema21_diff - 0.00594061
  33. ema21_ema50_diff - 0.0216065
  34. price_ema100_diff - 0.0251477
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.246096
  38. ema_slope_21 - 0.31376
  39. ema_slope_50 - 0.226203
  40. ema_slope_100 - 0.168743
  41. rsi - 0.443349
  42. adx - 0.309121
  43. kc_percentage - 0.243042
  44. kc_width_percentage - 0.0974463
  45. volume_ema_diff - -0.0983805
  46. volume_ema1 - 111373.86897309
  47. volume_ema2 - 123526.474763
  48. chop - 41.5805
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0304545
  52. ema21 - 0.0308265
  53. ema50 - 0.0306821
  54. ema100 - 0.0301579
  55. price_ema9_diff - -0.0234624
  56. ema9_ema21_diff - -0.0120687
  57. ema21_ema50_diff - 0.00470678
  58. price_ema100_diff - -0.0138602
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - -0.271972
  62. ema_slope_21 - -0.154893
  63. ema_slope_50 - -0.00737919
  64. ema_slope_100 - 0.0384818
  65. rsi - 0.316803
  66. adx - 0.25524
  67. kc_percentage - -0.210913
  68. kc_width_percentage - 0.0507539
  69. volume_ema_diff - -0.16984
  70. volume_ema1 - 44446.542611497
  71. volume_ema2 - 53539.788238534
  72. chop - 47.2499
  73. regime - bear_high_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 114999
  77. 5m_price_ema100_diff: -0.00200988
  78. 5m_price: 114768
  79. 5m_correlation_with_coin: 0.379769
  80. btc_indicators
  81. 15m_ema100: 114211
  82. 15m_price_ema100_diff: 0.0048743
  83. 15m_price: 114768
  84. 15m_correlation_with_coin: 0.015085
  85. btc_indicators
  86. 1H_ema100: 115363
  87. 1H_price_ema100_diff: -0.00515965
  88. 1H_price: 114768
  89. 1H_correlation_with_coin: -0.103067
    90. ¸

📌 Time Data

Start at Closed at Duration
13 Oct 2025
06:34:41		 13 Oct 2025
07:25:00		 50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02974 0.02914 0.03094 2 0.0125
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 0.02974
  • Stop Loss: 0.02914
  • Take Profit: 0.03094

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02914 - 0.02974 = -0.0006

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02974 - 0.03094 = -0.0012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0012 / -0.0006 = 2

📌 Position Size

Amount Margin Quantity Leverage
396.8181 100 13342.9071 3.97
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 -0.0006

Taille de position = 8 / -0.0006 = -13333.33

Taille de position USD = -13333.33 x 0.02974 = -396.53

Donc, tu peux acheter -13333.33 avec un stoploss a 0.02914

Avec un position size USD de -396.53$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -13333.33 x -0.0006 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -13333.33 x -0.0012 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -13333.33
  • Taille de position USD -396.53
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
4.03 % 16.01 $
SL % Target SL $ Target
2.02 % 8.01 $
PNL PNL %
-8.01 $ -2.02
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.69 % 133.33 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03094
            [entry_price] => 0.02974
            [stop_loss] => 0.02908
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-13 07:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03094
            [entry_price] => 0.02974
            [stop_loss] => 0.02902
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-13 07:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03094
            [entry_price] => 0.02974
            [stop_loss] => 0.02896
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-13 07:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03094
            [entry_price] => 0.02974
            [stop_loss] => 0.02884
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-13 07:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00066
            [max_drawdown] => 0.0018
            [rr_ratio] => 0.37
            [high] => 0.03040000
            [low] => 0.02794000
            [mfe_pct] => 2.22
            [mae_pct] => 6.05
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 24
            [start_at] => 2025-10-13T06:34:41-04:00
            [end_at] => 2025-10-13T08:34:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00102
            [max_drawdown] => 0.0018
            [rr_ratio] => 0.57
            [high] => 0.03076000
            [low] => 0.02794000
            [mfe_pct] => 3.43
            [mae_pct] => 6.05
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 84
            [start_at] => 2025-10-13T06:34:41-04:00
            [end_at] => 2025-10-13T13:34:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03277000
            [high_after] => 0.03076000
            [low_before] => 0.02900000
            [low_after] => 0.02794000
            [is_new_high] => 
            [is_new_low] => 
        )

)