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Short Trade on TRUMP

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Short Trade on TRUMP 04 Sep 2025 at 18:56:15

Take profit at 8.2806 (0.25 %) and Stop Loss at 8.3112 (0.12 %)

Short Trade on TRUMP

The 04 Sep 2025 at 18:56:15

With 783.4957 TRUMP at 8.301$ per unit.

Position size of 6503.798 $

Take profit at 8.2806 (0.25 %) and Stop Loss at 8.3112 (0.12 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.79
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.88
Prediction 2 Probability
0 0.5
Prediction 3 Probability
0 0.8
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : bull_low

1H_regime : bear_medium

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.541792

15m : 0.053881

1H : 0.054793

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.006807099533
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 8.27632
  4. ema21 : 8.30303
  5. ema50 : 8.35378
  6. ema100 : 8.42147
  7. price_ema9_diff : 0.00298081
  8. ema9_ema21_diff : -0.00321628
  9. ema21_ema50_diff : -0.00607567
  10. price_ema100_diff : -0.0143059
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0624268
  14. ema_slope_21 : -0.0634944
  15. ema_slope_50 : -0.047861
  16. ema_slope_100 : -0.0387214
  17. rsi : 0.47146
  18. adx : 0.27157
  19. kc_percentage : 0.501117
  20. kc_width_percentage : 0.0213831
  21. volume_ema_diff : -0.622149
  22. volume_ema1 : 414873.76941088
  23. volume_ema2 : 1097984.2485434
  24. regime : bear_medium
    25. ¸
  25. 15m
  26. ema9 : 8.28147
  27. ema21 : 8.27231
  28. ema50 : 8.28359
  29. ema100 : 8.31588
  30. price_ema9_diff : 0.00235784
  31. ema9_ema21_diff : 0.00110742
  32. ema21_ema50_diff : -0.00136253
  33. price_ema100_diff : -0.00179036
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0261966
  37. ema_slope_21 : 0.0102054
  38. ema_slope_50 : -0.00591484
  39. ema_slope_100 : -0.0116487
  40. rsi : 0.595611
  41. adx : 0.241611
  42. kc_percentage : 0.933673
  43. kc_width_percentage : 0.00791567
  44. volume_ema_diff : -0.758134
  45. volume_ema1 : 38419.981167484
  46. volume_ema2 : 158848.83765518
  47. regime : range_low
    48. ¸
  48. 5m
  49. ema9 : 8.29382
  50. ema21 : 8.28453
  51. ema50 : 8.27284
  52. ema100 : 8.26998
  53. price_ema9_diff : 0.000864854
  54. ema9_ema21_diff : 0.00112144
  55. ema21_ema50_diff : 0.00141371
  56. price_ema100_diff : 0.00375033
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0265358
  60. ema_slope_21 : 0.0224946
  61. ema_slope_50 : 0.0135496
  62. ema_slope_100 : 0.00671277
  63. rsi : 0.683151
  64. adx : 0.230828
  65. kc_percentage : 1.12142
  66. kc_width_percentage : 0.00305979
  67. volume_ema_diff : -0.499589
  68. volume_ema1 : 13562.379607322
  69. volume_ema2 : 27102.51113139
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110167
  74. 5m_price_ema100_diff: 
    0.00685375
  75. 5m_price: 
    110922
  76. 5m_correlation_with_coin: 
    0.541792
  77. btc_indicators
  78. 15m_ema100: 
    110618
  79. 15m_price_ema100_diff: 
    0.000686484
  80. 15m_price: 
    110694
  81. 15m_correlation_with_coin: 
    0.053881
  82. btc_indicators
  83. 1H_ema100: 
    110324
  84. 1H_price_ema100_diff: 
    0.00542356
  85. 1H_price: 
    110922
  86. 1H_correlation_with_coin: 
    0.054793
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
18:56:15		 04 Sep 2025
19:00:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
8.301 8.3112 8.2806 2 3.375
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 8.301
  • Stop Loss: 8.3112
  • Take Profit: 8.2806

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 8.3112 - 8.301 = 0.010199999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 8.301 - 8.2806 = 0.0204

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0204 / 0.010199999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
6503.798 100 783.4957 65.04
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 0.010199999999999

Taille de position = 8 / 0.010199999999999 = 784.31

Taille de position USD = 784.31 x 8.301 = 6510.56

Donc, tu peux acheter 784.31 avec un stoploss a 8.3112

Avec un position size USD de 6510.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 784.31 x 0.010199999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 784.31 x 0.0204 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 784.31
  • Taille de position USD 6510.56
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.25 % 15.98 $
SL % Target SL $ Target
0.12 % 7.99 $
PNL PNL %
-7.99 $ -0.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2771 % 225.47 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 8.2806
            [entry_price] => 8.301
            [stop_loss] => 8.31222
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 19:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 8.2806
            [entry_price] => 8.301
            [stop_loss] => 8.31324
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 19:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 8.2806
            [entry_price] => 8.301
            [stop_loss] => 8.31426
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-04 19:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 8.2806
            [entry_price] => 8.301
            [stop_loss] => 8.3163
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-04 19:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.02
            [max_drawdown] => 0.031000000000001
            [rr_ratio] => 0.65
            [high] => 8.33200000
            [low] => 8.28100000
            [mfe_pct] => 0.24
            [mae_pct] => 0.37
            [mfe_mae_ratio] => 0.65
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T18:56:15-04:00
            [end_at] => 2025-09-04T20:56:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.02
            [max_drawdown] => 0.044
            [rr_ratio] => 0.45
            [high] => 8.34500000
            [low] => 8.28100000
            [mfe_pct] => 0.24
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 0.45
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T18:56:15-04:00
            [end_at] => 2025-09-05T01:56:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 8.32300000
            [high_after] => 8.34500000
            [low_before] => 8.23300000
            [low_after] => 8.28100000
            [is_new_high] => 
            [is_new_low] => 
        )

)