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Short Trade on BROCCOLI

Short Trade on BROCCOLI

The 09 Oct 2025 at 17:23:54

With 24653.2323 BROCCOLI at 0.0372$ per unit.

Position size of 917.1002 $

Take profit at 0.03655 (1.75 %) and Stop Loss at 0.03752 (0.86 %)

That's a 2.03 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.71
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.52
Prediction 3 Probability
0 0.73
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.401076

15m : 0.0576

1H : 0.059478

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.0002163340399
Details
  1. score: 1.16
  2. 1H
  3. ema9 - 0.0369593
  4. ema21 - 0.0390113
  5. ema50 - 0.041696
  6. ema100 - 0.0410374
  7. price_ema9_diff - 0.00651009
  8. ema9_ema21_diff - -0.0525994
  9. ema21_ema50_diff - -0.0643872
  10. price_ema100_diff - -0.0935099
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.9116
  14. ema_slope_21 - -0.943744
  15. ema_slope_50 - -0.56921
  16. ema_slope_100 - -0.229209
  17. rsi - 0.375037
  18. adx - 0.266122
  19. kc_percentage - 0.193679
  20. kc_width_percentage - 0.14361
  21. volume_ema_diff - -0.73626
  22. volume_ema1 - 255948.90429066
  23. volume_ema2 - 970462.00455873
  24. chop - 59.2869
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0366048
  28. ema21 - 0.0366154
  29. ema50 - 0.0376161
  30. ema100 - 0.0396295
  31. price_ema9_diff - 0.0162578
  32. ema9_ema21_diff - -0.000288024
  33. ema21_ema50_diff - -0.0266034
  34. price_ema100_diff - -0.0613066
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.00849841
  38. ema_slope_21 - -0.0506736
  39. ema_slope_50 - -0.154074
  40. ema_slope_100 - -0.177494
  41. rsi - 0.53181
  42. adx - 0.187317
  43. kc_percentage - 0.859611
  44. kc_width_percentage - 0.0447817
  45. volume_ema_diff - -0.367176
  46. volume_ema1 - 67044.484811087
  47. volume_ema2 - 105945.01458645
  48. chop - 64.9161
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.0367826
  52. ema21 - 0.0365968
  53. ema50 - 0.0365192
  54. ema100 - 0.0366577
  55. price_ema9_diff - 0.0113462
  56. ema9_ema21_diff - 0.00507588
  57. ema21_ema50_diff - 0.00212645
  58. price_ema100_diff - 0.0147909
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.107521
  62. ema_slope_21 - 0.0598835
  63. ema_slope_50 - 0.0215944
  64. ema_slope_100 - -0.000149784
  65. rsi - 0.695154
  66. adx - 0.185185
  67. kc_percentage - 1.16444
  68. kc_width_percentage - 0.0240332
  69. volume_ema_diff - 0.706418
  70. volume_ema1 - 42273.208383391
  71. volume_ema2 - 24773.056197877
  72. chop - 35.9812
  73. regime - bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 121283
  77. 5m_price_ema100_diff: 0.000195371
  78. 5m_price: 121306
  79. 5m_correlation_with_coin: 0.401076
  80. btc_indicators
  81. 15m_ema100: 121819
  82. 15m_price_ema100_diff: -0.00420392
  83. 15m_price: 121306
  84. 15m_correlation_with_coin: 0.0576
  85. btc_indicators
  86. 1H_ema100: 122542
  87. 1H_price_ema100_diff: -0.0100867
  88. 1H_price: 121306
  89. 1H_correlation_with_coin: 0.059478
    90. ¸

📌 Time Data

Start at Closed at Duration
09 Oct 2025
17:23:54		 09 Oct 2025
17:25:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0372 0.03752 0.03655 2.03 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 0.0372
  • Stop Loss: 0.03752
  • Take Profit: 0.03655

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03752 - 0.0372 = 0.00032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0372 - 0.03655 = 0.00065

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00065 / 0.00032 = 2.0312

📌 Position Size

Amount Margin Quantity Leverage
917.1002 100 24653.2323 9.17
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 0.00032

Taille de position = 8 / 0.00032 = 25000

Taille de position USD = 25000 x 0.0372 = 930

Donc, tu peux acheter 25000 avec un stoploss a 0.03752

Avec un position size USD de 930$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 25000 x 0.00032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 25000 x 0.00065 = 16.25

Si Take Profit atteint, tu gagneras 16.25$

Résumé

  • Taille de position 25000
  • Taille de position USD 930
  • Perte potentielle 8
  • Gain potentiel 16.25
  • Risk-Reward Ratio 2.0312

📌 Peformances

TP % Target TP $ Target
1.75 % 16.02 $
SL % Target SL $ Target
0.86 % 7.89 $
PNL PNL %
-7.89 $ -0.86
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.129 % 131.25 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03655
            [entry_price] => 0.0372
            [stop_loss] => 0.037552
            [rr_ratio] => 1.85
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-09 17:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03655
            [entry_price] => 0.0372
            [stop_loss] => 0.037584
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-09 17:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03655
            [entry_price] => 0.0372
            [stop_loss] => 0.037616
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-09 17:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03655
            [entry_price] => 0.0372
            [stop_loss] => 0.03768
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-09 19:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00031999999999999
            [max_drawdown] => 0.00045000000000001
            [rr_ratio] => 0.71
            [high] => 0.03765000
            [low] => 0.03688000
            [mfe_pct] => 0.86
            [mae_pct] => 1.21
            [mfe_mae_ratio] => 0.71
            [candles_analyzed] => 24
            [start_at] => 2025-10-09T17:23:54-04:00
            [end_at] => 2025-10-09T19:23:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00033
            [max_drawdown] => 0.00142
            [rr_ratio] => 0.23
            [high] => 0.03862000
            [low] => 0.03687000
            [mfe_pct] => 0.89
            [mae_pct] => 3.82
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 84
            [start_at] => 2025-10-09T17:23:54-04:00
            [end_at] => 2025-10-10T00:23:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03727000
            [high_after] => 0.03800000
            [low_before] => 0.03571000
            [low_after] => 0.03687000
            [is_new_high] => 
            [is_new_low] => 
        )

)