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Short Trade on TRUMP

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Short Trade on TRUMP 30 Sep 2025 at 16:02:41

Take profit at 7.3486 (0.63 %) and Stop Loss at 7.4182 (0.31 %)

Short Trade on TRUMP

The 30 Sep 2025 at 16:02:41

With 345.1697 TRUMP at 7.395$ per unit.

Position size of 2552.5298 $

Take profit at 7.3486 (0.63 %) and Stop Loss at 7.4182 (0.31 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.12
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
1 0.78
Prediction 3 Probability
0 0.78
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium_confirmed

rules_regime_5m : bull_low

1H_regime : bear_medium

15m_regime : range_low

5m_regime : bull_low
BTC Correlation Score

5m : 0.45621

15m : 0.277403

1H : -0.039148

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.31
  4. atr: 0.01545133748
Details
  1. score: 1.31
  2. 1H
  3. ema9 : 7.35558
  4. ema21 : 7.4012
  5. ema50 : 7.47117
  6. ema100 : 7.51132
  7. price_ema9_diff : 0.00535826
  8. ema9_ema21_diff : -0.00616299
  9. ema21_ema50_diff : -0.00936642
  10. price_ema100_diff : -0.0154867
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.143742
  14. ema_slope_21 : -0.13716
  15. ema_slope_50 : -0.0865207
  16. ema_slope_100 : -0.049896
  17. rsi : 0.465934
  18. adx : 0.468068
  19. kc_percentage : 0.489778
  20. kc_width_percentage : 0.0308862
  21. volume_ema_diff : 0.134408
  22. volume_ema1 : 1062624.5318727
  23. volume_ema2 : 936721.20915565
  24. chop : 34.9819
  25. regime : bear_medium
    26. ¸
  26. 15m
  27. ema9 : 7.34766
  28. ema21 : 7.32966
  29. ema50 : 7.35766
  30. ema100 : 7.41562
  31. price_ema9_diff : 0.00644233
  32. ema9_ema21_diff : 0.00245563
  33. ema21_ema50_diff : -0.00380567
  34. price_ema100_diff : -0.00278195
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0774264
  38. ema_slope_21 : 0.0206988
  39. ema_slope_50 : -0.0183009
  40. ema_slope_100 : -0.0263443
  41. rsi : 0.657037
  42. adx : 0.36611
  43. kc_percentage : 1.07831
  44. kc_width_percentage : 0.0152488
  45. volume_ema_diff : -0.638779
  46. volume_ema1 : 154209.29465701
  47. volume_ema2 : 426912.09233314
  48. chop : 40.4485
  49. regime : range_low
    50. ¸
  50. 5m
  51. ema9 : 7.36826
  52. ema21 : 7.3443
  53. ema50 : 7.32257
  54. ema100 : 7.31861
  55. price_ema9_diff : 0.00362775
  56. ema9_ema21_diff : 0.00326337
  57. ema21_ema50_diff : 0.00296749
  58. price_ema100_diff : 0.0104377
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.058294
  62. ema_slope_21 : 0.0436523
  63. ema_slope_50 : 0.0245607
  64. ema_slope_100 : 0.0114975
  65. rsi : 0.753907
  66. adx : 0.405179
  67. kc_percentage : 1.31174
  68. kc_width_percentage : 0.00819992
  69. volume_ema_diff : -0.528879
  70. volume_ema1 : 69363.725230049
  71. volume_ema2 : 147231.43820622
  72. chop : 34.0128
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113370
  77. 5m_price_ema100_diff: 
    0.00833455
  78. 5m_price: 
    114315
  79. 5m_correlation_with_coin: 
    0.45621
  80. btc_indicators
  81. 15m_ema100: 
    113578
  82. 15m_price_ema100_diff: 
    0.00649376
  83. 15m_price: 
    114315
  84. 15m_correlation_with_coin: 
    0.277403
  85. btc_indicators
  86. 1H_ema100: 
    111885
  87. 1H_price_ema100_diff: 
    0.0217164
  88. 1H_price: 
    114315
  89. 1H_correlation_with_coin: 
    -0.039148
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
16:02:41		 30 Sep 2025
16:45:00		 42 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
7.395 7.4182 7.3486 2 3.425
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 7.395
  • Stop Loss: 7.4182
  • Take Profit: 7.3486

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 7.4182 - 7.395 = 0.0232

  • Récompense (distance jusqu'au take profit):

    E - TP = 7.395 - 7.3486 = 0.046399999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.046399999999999 / 0.0232 = 2

📌 Position Size

Amount Margin Quantity Leverage
2552.5298 100 345.1697 25.53
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 0.0232

Taille de position = 8 / 0.0232 = 344.83

Taille de position USD = 344.83 x 7.395 = 2550.02

Donc, tu peux acheter 344.83 avec un stoploss a 7.4182

Avec un position size USD de 2550.02$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 344.83 x 0.0232 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 344.83 x 0.046399999999999 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 344.83
  • Taille de position USD 2550.02
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.63 % 16.02 $
SL % Target SL $ Target
0.31 % 8.01 $
PNL PNL %
-8.01 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5139 % 163.82 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 7.3486
            [entry_price] => 7.395
            [stop_loss] => 7.42052
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 7.3486
            [entry_price] => 7.395
            [stop_loss] => 7.42284
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 7.3486
            [entry_price] => 7.395
            [stop_loss] => 7.42516
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 7.3486
            [entry_price] => 7.395
            [stop_loss] => 7.4298
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.026
            [max_drawdown] => 0.046
            [rr_ratio] => 0.57
            [high] => 7.44100000
            [low] => 7.36900000
            [mfe_pct] => 0.35
            [mae_pct] => 0.62
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T16:02:41-04:00
            [end_at] => 2025-09-30T18:02:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.050999999999999
            [max_drawdown] => 0.046
            [rr_ratio] => 1.11
            [high] => 7.44100000
            [low] => 7.34400000
            [mfe_pct] => 0.69
            [mae_pct] => 0.62
            [mfe_mae_ratio] => 1.11
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T16:02:41-04:00
            [end_at] => 2025-09-30T23:02:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 7.39900000
            [high_after] => 7.44100000
            [low_before] => 7.23300000
            [low_after] => 7.34400000
            [is_new_high] => 
            [is_new_low] => 
        )

)