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Long Trade on BROCCOLI

Long Trade on BROCCOLI

The 20 Sep 2025 at 21:06:15

With 9433.2908 BROCCOLI at 0.04077$ per unit.

Position size of 384.5953 $

Take profit at 0.04247 (4.17 %) and Stop Loss at 0.03992 (2.08 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.09
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.56
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_high
BTC Correlation Score

5m : 0.218004

15m : -0.11086

1H : -0.008988

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0005653735724
Details
  1. score: 2.11
  2. 1H
  3. ema9 - 0.041249
  4. ema21 - 0.0397377
  5. ema50 - 0.0373072
  6. ema100 - 0.035112
  7. price_ema9_diff - -0.0116126
  8. ema9_ema21_diff - 0.0380309
  9. ema21_ema50_diff - 0.065148
  10. price_ema100_diff - 0.16114
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.914478
  14. ema_slope_21 - 0.797893
  15. ema_slope_50 - 0.572777
  16. ema_slope_100 - 0.40638
  17. rsi - 0.574782
  18. adx - 0.503429
  19. kc_percentage - 0.619618
  20. kc_width_percentage - 0.187352
  21. volume_ema_diff - -0.147131
  22. volume_ema1 - 447960.49352574
  23. volume_ema2 - 525239.8990363
  24. chop - 33.726
  25. regime - bull_high
    26. ¸
  26. 15m
  27. ema9 - 0.0421034
  28. ema21 - 0.0421082
  29. ema50 - 0.0409904
  30. ema100 - 0.0393687
  31. price_ema9_diff - -0.0316701
  32. ema9_ema21_diff - -0.000113846
  33. ema21_ema50_diff - 0.0272682
  34. price_ema100_diff - 0.0355926
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.0466828
  38. ema_slope_21 - 0.0706136
  39. ema_slope_50 - 0.172316
  40. ema_slope_100 - 0.175248
  41. rsi - 0.415943
  42. adx - 0.309128
  43. kc_percentage - 0.160882
  44. kc_width_percentage - 0.0985108
  45. volume_ema_diff - -0.0345411
  46. volume_ema1 - 162155.76198767
  47. volume_ema2 - 167957.20465023
  48. chop - 60.7565
  49. regime - bull_high
    50. ¸
  50. 5m
  51. ema9 - 0.0418028
  52. ema21 - 0.0422205
  53. ema50 - 0.0423449
  54. ema100 - 0.0421914
  55. price_ema9_diff - -0.0247074
  56. ema9_ema21_diff - -0.0098925
  57. ema21_ema50_diff - -0.00293981
  58. price_ema100_diff - -0.0336903
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - -0.141447
  62. ema_slope_21 - -0.0574155
  63. ema_slope_50 - -0.0139844
  64. ema_slope_100 - 0.00477249
  65. rsi - 0.3164
  66. adx - 0.158426
  67. kc_percentage - -0.106327
  68. kc_width_percentage - 0.0580411
  69. volume_ema_diff - 0.374653
  70. volume_ema1 - 73139.229897972
  71. volume_ema2 - 53205.586693335
  72. chop - 32.9039
  73. regime - bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 115706
  77. 5m_price_ema100_diff: -0.00140441
  78. 5m_price: 115544
  79. 5m_correlation_with_coin: 0.218004
  80. btc_indicators
  81. 15m_ema100: 115684
  82. 15m_price_ema100_diff: -0.00121445
  83. 15m_price: 115544
  84. 15m_correlation_with_coin: -0.11086
  85. btc_indicators
  86. 1H_ema100: 116214
  87. 1H_price_ema100_diff: -0.00577341
  88. 1H_price: 115544
  89. 1H_correlation_with_coin: -0.008988
    90. ¸

📌 Time Data

Start at Closed at Duration
20 Sep 2025
21:06:15		 20 Sep 2025
21:10:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04077 0.03992 0.04247 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 0.04077
  • Stop Loss: 0.03992
  • Take Profit: 0.04247

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03992 - 0.04077 = -0.00085

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04077 - 0.04247 = -0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0017 / -0.00085 = 2

📌 Position Size

Amount Margin Quantity Leverage
384.5953 100 9433.2908 3.85
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 -0.00085

Taille de position = 8 / -0.00085 = -9411.76

Taille de position USD = -9411.76 x 0.04077 = -383.72

Donc, tu peux acheter -9411.76 avec un stoploss a 0.03992

Avec un position size USD de -383.72$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -9411.76 x -0.00085 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -9411.76 x -0.0017 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -9411.76
  • Taille de position USD -383.72
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
4.17 % 16.04 $
SL % Target SL $ Target
2.08 % 8.02 $
PNL PNL %
-8.02 $ -2.08
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.8698 % 137.65 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04247
            [entry_price] => 0.04077
            [stop_loss] => 0.039835
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-20 21:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04247
            [entry_price] => 0.04077
            [stop_loss] => 0.03975
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-20 21:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.04247
            [entry_price] => 0.04077
            [stop_loss] => 0.039665
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-20 21:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.04247
            [entry_price] => 0.04077
            [stop_loss] => 0.039495
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-20 21:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00022
            [max_drawdown] => 0.00274
            [rr_ratio] => -0.08
            [high] => 0.04055000
            [low] => 0.03803000
            [mfe_pct] => -0.54
            [mae_pct] => 6.72
            [mfe_mae_ratio] => -0.08
            [candles_analyzed] => 24
            [start_at] => 2025-09-20T21:06:15-04:00
            [end_at] => 2025-09-20T23:06:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00083
            [max_drawdown] => 0.00333
            [rr_ratio] => 0.25
            [high] => 0.04160000
            [low] => 0.03744000
            [mfe_pct] => 2.04
            [mae_pct] => 8.17
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 84
            [start_at] => 2025-09-20T21:06:15-04:00
            [end_at] => 2025-09-21T04:06:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04383000
            [high_after] => 0.04055000
            [low_before] => 0.03990000
            [low_after] => 0.03744000
            [is_new_high] => 
            [is_new_low] => 
        )

)