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Long Trade on BROCCOLI

Long Trade on BROCCOLI

The 20 Sep 2025 at 09:29:38

With 15441.4019 BROCCOLI at 0.03624$ per unit.

Position size of 559.5964 $

Take profit at 0.03728 (2.87 %) and Stop Loss at 0.03572 (1.43 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 7.68
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
1 0.46
Prediction 3 Probability
0 0.68
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 : 0.217301

15m : 0.029482

1H : -0.024559

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.0003453917822
Details
  1. score: 2.07
  2. 1H
  3. ema9 - 0.0371
  4. ema21 - 0.0362329
  5. ema50 - 0.0347951
  6. ema100 - 0.03285
  7. price_ema9_diff - -0.0231822
  8. ema9_ema21_diff - 0.0239304
  9. ema21_ema50_diff - 0.0413218
  10. price_ema100_diff - 0.103195
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.754998
  14. ema_slope_21 - 0.605487
  15. ema_slope_50 - 0.395654
  16. ema_slope_100 - 0.3206
  17. rsi - 0.517657
  18. adx - 0.404012
  19. kc_percentage - 0.490501
  20. kc_width_percentage - 0.170481
  21. volume_ema_diff - -0.0706238
  22. volume_ema1 - 369804.54995624
  23. volume_ema2 - 397906.22220263
  24. chop - 28.4534
  25. regime - bull_high
    26. ¸
  26. 15m
  27. ema9 - 0.0370613
  28. ema21 - 0.0373338
  29. ema50 - 0.0368101
  30. ema100 - 0.0357111
  31. price_ema9_diff - -0.0221627
  32. ema9_ema21_diff - -0.00729816
  33. ema21_ema50_diff - 0.0142257
  34. price_ema100_diff - 0.0148087
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.15053
  38. ema_slope_21 - -0.046297
  39. ema_slope_50 - 0.0757295
  40. ema_slope_100 - 0.107629
  41. rsi - 0.395079
  42. adx - 0.206845
  43. kc_percentage - 0.127147
  44. kc_width_percentage - 0.0807455
  45. volume_ema_diff - -0.351797
  46. volume_ema1 - 80833.462557786
  47. volume_ema2 - 124703.965232
  48. chop - 61.5383
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0366618
  52. ema21 - 0.0370171
  53. ema50 - 0.0374183
  54. ema100 - 0.0377299
  55. price_ema9_diff - -0.0115071
  56. ema9_ema21_diff - -0.00959694
  57. ema21_ema50_diff - -0.010723
  58. price_ema100_diff - -0.0394908
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - -0.164249
  62. ema_slope_21 - -0.13438
  63. ema_slope_50 - -0.0852181
  64. ema_slope_100 - -0.0546688
  65. rsi - 0.336786
  66. adx - 0.201051
  67. kc_percentage - -0.0718285
  68. kc_width_percentage - 0.0364024
  69. volume_ema_diff - -0.177006
  70. volume_ema1 - 28207.997744436
  71. volume_ema2 - 34274.871352881
  72. chop - 56.2541
  73. regime - bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 115724
  77. 5m_price_ema100_diff: 0.00110105
  78. 5m_price: 115852
  79. 5m_correlation_with_coin: 0.217301
  80. btc_indicators
  81. 15m_ema100: 115727
  82. 15m_price_ema100_diff: 0.00105756
  83. 15m_price: 115849
  84. 15m_correlation_with_coin: 0.029482
  85. btc_indicators
  86. 1H_ema100: 116122
  87. 1H_price_ema100_diff: -0.00232841
  88. 1H_price: 115852
  89. 1H_correlation_with_coin: -0.024559
    90. ¸

📌 Time Data

Start at Closed at Duration
20 Sep 2025
09:29:38		 20 Sep 2025
10:10:00		 40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03624 0.03572 0.03728 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 0.03624
  • Stop Loss: 0.03572
  • Take Profit: 0.03728

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03572 - 0.03624 = -0.00052

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03624 - 0.03728 = -0.00104

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00104 / -0.00052 = 2

📌 Position Size

Amount Margin Quantity Leverage
559.5964 100 15441.4019 5.60
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 -0.00052

Taille de position = 8 / -0.00052 = -15384.62

Taille de position USD = -15384.62 x 0.03624 = -557.54

Donc, tu peux acheter -15384.62 avec un stoploss a 0.03572

Avec un position size USD de -557.54$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -15384.62 x -0.00052 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -15384.62 x -0.00104 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -15384.62
  • Taille de position USD -557.54
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.87 % 16.06 $
SL % Target SL $ Target
1.43 % 8.03 $
PNL PNL %
-8.03 $ -1.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4349 % 100 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03728
            [entry_price] => 0.03624
            [stop_loss] => 0.035668
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-20 10:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03728
            [entry_price] => 0.03624
            [stop_loss] => 0.035616
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-20 10:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03728
            [entry_price] => 0.03624
            [stop_loss] => 0.035564
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-20 10:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03728
            [entry_price] => 0.03624
            [stop_loss] => 0.03546
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-20 10:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00164
            [max_drawdown] => 0.00078
            [rr_ratio] => 2.1
            [high] => 0.03788000
            [low] => 0.03546000
            [mfe_pct] => 4.53
            [mae_pct] => 2.15
            [mfe_mae_ratio] => 2.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-20T09:29:38-04:00
            [end_at] => 2025-09-20T11:29:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00976
            [max_drawdown] => 0.00078
            [rr_ratio] => 12.51
            [high] => 0.04600000
            [low] => 0.03546000
            [mfe_pct] => 26.93
            [mae_pct] => 2.15
            [mfe_mae_ratio] => 12.51
            [candles_analyzed] => 84
            [start_at] => 2025-09-20T09:29:38-04:00
            [end_at] => 2025-09-20T16:29:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03879000
            [high_after] => 0.04600000
            [low_before] => 0.03619000
            [low_after] => 0.03546000
            [is_new_high] => 1
            [is_new_low] => 
        )

)