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Long Trade on BROCCOLI

Long Trade on BROCCOLI

The 20 Sep 2025 at 21:19:21

With 8484.8946 BROCCOLI at 0.04007$ per unit.

Position size of 339.9897 $

Take profit at 0.04196 (4.72 %) and Stop Loss at 0.03913 (2.35 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.54
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
0 0.67
Prediction 3 Probability
0 0.53
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_high
BTC Correlation Score

5m : 0.300185

15m : 0.257174

1H : 0.108164

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0006285680129
Details
  1. score: 2.12
  2. 1H
  3. ema9 - 0.041109
  4. ema21 - 0.0396741
  5. ema50 - 0.0372797
  6. ema100 - 0.0350981
  7. price_ema9_diff - -0.0252745
  8. ema9_ema21_diff - 0.0361672
  9. ema21_ema50_diff - 0.0642253
  10. price_ema100_diff - 0.141654
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.88309
  14. ema_slope_21 - 0.78327
  15. ema_slope_50 - 0.566224
  16. ema_slope_100 - 0.402929
  17. rsi - 0.543371
  18. adx - 0.495713
  19. kc_percentage - 0.534859
  20. kc_width_percentage - 0.200707
  21. volume_ema_diff - -0.0111051
  22. volume_ema1 - 528813.54805977
  23. volume_ema2 - 534752.02309913
  24. chop - 33.8324
  25. regime - bull_high
    26. ¸
  26. 15m
  27. ema9 - 0.0415335
  28. ema21 - 0.0418386
  29. ema50 - 0.0409146
  30. ema100 - 0.0393533
  31. price_ema9_diff - -0.0352375
  32. ema9_ema21_diff - -0.0072919
  33. ema21_ema50_diff - 0.0225824
  34. price_ema100_diff - 0.0182099
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.147995
  38. ema_slope_21 - 0.011259
  39. ema_slope_50 - 0.141299
  40. ema_slope_100 - 0.159301
  41. rsi - 0.390418
  42. adx - 0.312137
  43. kc_percentage - 0.0759118
  44. kc_width_percentage - 0.104613
  45. volume_ema_diff - -0.0255461
  46. volume_ema1 - 166014.75405838
  47. volume_ema2 - 170366.97260179
  48. chop - 49.8729
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0410522
  52. ema21 - 0.0417767
  53. ema50 - 0.0421956
  54. ema100 - 0.0425267
  55. price_ema9_diff - -0.0239279
  56. ema9_ema21_diff - -0.0173407
  57. ema21_ema50_diff - -0.00992729
  58. price_ema100_diff - -0.0577685
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - -0.313333
  62. ema_slope_21 - -0.157112
  63. ema_slope_50 - -0.0690014
  64. ema_slope_100 - -0.0434796
  65. rsi - 0.301894
  66. adx - 0.223284
  67. kc_percentage - -0.124644
  68. kc_width_percentage - 0.0668847
  69. volume_ema_diff - 0.295548
  70. volume_ema1 - 84822.071437735
  71. volume_ema2 - 65471.933912017
  72. chop - 23.7802
  73. regime - bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 115697
  77. 5m_price_ema100_diff: -0.00153671
  78. 5m_price: 115519
  79. 5m_correlation_with_coin: 0.300185
  80. btc_indicators
  81. 15m_ema100: 115700
  82. 15m_price_ema100_diff: -0.00156744
  83. 15m_price: 115519
  84. 15m_correlation_with_coin: 0.257174
  85. btc_indicators
  86. 1H_ema100: 116214
  87. 1H_price_ema100_diff: -0.00598008
  88. 1H_price: 115519
  89. 1H_correlation_with_coin: 0.108164
    90. ¸

📌 Time Data

Start at Closed at Duration
20 Sep 2025
21:19:21		 20 Sep 2025
21:25:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04007 0.03913 0.04196 2.01 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 0.04007
  • Stop Loss: 0.03913
  • Take Profit: 0.04196

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03913 - 0.04007 = -0.00094

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04007 - 0.04196 = -0.00189

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00189 / -0.00094 = 2.0106

📌 Position Size

Amount Margin Quantity Leverage
339.9897 100 8484.8946 3.40
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 -0.00094

Taille de position = 8 / -0.00094 = -8510.64

Taille de position USD = -8510.64 x 0.04007 = -341.02

Donc, tu peux acheter -8510.64 avec un stoploss a 0.03913

Avec un position size USD de -341.02$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8510.64 x -0.00094 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8510.64 x -0.00189 = 16.09

Si Take Profit atteint, tu gagneras 16.09$

Résumé

  • Taille de position -8510.64
  • Taille de position USD -341.02
  • Perte potentielle 8
  • Gain potentiel 16.09
  • Risk-Reward Ratio 2.0106

📌 Peformances

TP % Target TP $ Target
4.72 % 16.04 $
SL % Target SL $ Target
2.35 % 7.98 $
PNL PNL %
-7.98 $ -2.35
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.2443 % 138.3 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04196
            [entry_price] => 0.04007
            [stop_loss] => 0.039036
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-20 21:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04196
            [entry_price] => 0.04007
            [stop_loss] => 0.038942
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-20 21:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.04196
            [entry_price] => 0.04007
            [stop_loss] => 0.038848
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-20 21:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.04196
            [entry_price] => 0.04007
            [stop_loss] => 0.03866
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-20 21:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00048
            [max_drawdown] => 0.00204
            [rr_ratio] => 0.24
            [high] => 0.04055000
            [low] => 0.03803000
            [mfe_pct] => 1.2
            [mae_pct] => 5.09
            [mfe_mae_ratio] => 0.24
            [candles_analyzed] => 24
            [start_at] => 2025-09-20T21:19:21-04:00
            [end_at] => 2025-09-20T23:19:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00153
            [max_drawdown] => 0.00263
            [rr_ratio] => 0.58
            [high] => 0.04160000
            [low] => 0.03744000
            [mfe_pct] => 3.82
            [mae_pct] => 6.56
            [mfe_mae_ratio] => 0.58
            [candles_analyzed] => 84
            [start_at] => 2025-09-20T21:19:21-04:00
            [end_at] => 2025-09-21T04:19:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04383000
            [high_after] => 0.04160000
            [low_before] => 0.03950000
            [low_after] => 0.03744000
            [is_new_high] => 
            [is_new_low] => 
        )

)