Short Trade on TRUMP 26 Jun 2025 at 14:13:25

Take profit at 8.8712 (0.5 %) and Stop Loss at 8.9459 (0.34 %)

Short Trade on TRUMP

The 26 Jun 2025 at 14:13:25

With 267.5633 TRUMP at 8.916$ per unit.

Position size of 2385.5944 $

Take profit at 8.8712 (0.5 %) and Stop Loss at 8.9459 (0.34 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 0.8
Prediction Score: 2.1556
Prediction 1 Probability
Weak Trade
0.51
Prediction 2 Probability
2 0.48
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.691179

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.01993297761
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 8.88804
  4. ema21 : 8.93407
  5. ema50 : 8.99383
  6. ema100 : 8.94381
  7. price_ema9_diff : 0.00314511
  8. ema9_ema21_diff : -0.00515255
  9. ema21_ema50_diff : -0.0066442
  10. price_ema100_diff : -0.00310952
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.460656
  14. kc_percentage : 0.460417
  15. kc_width_percentage : 0.0401473
  16. volume_ema_diff : -0.260127
  17. volume_ema1 : 511153.90418961
  18. volume_ema2 : 690867.57766419
  19. ¸
  20. 15m
  21. ema9 : 8.87316
  22. ema21 : 8.86824
  23. ema50 : 8.89663
  24. ema100 : 8.93754
  25. price_ema9_diff : 0.0048278
  26. ema9_ema21_diff : 0.000554604
  27. ema21_ema50_diff : -0.00319175
  28. price_ema100_diff : -0.00241019
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.567971
  32. kc_percentage : 0.748557
  33. kc_width_percentage : 0.0217611
  34. volume_ema_diff : -0.705383
  35. volume_ema1 : 58560.462221756
  36. volume_ema2 : 198768.53205645
  37. ¸
  38. 5m
  39. ema9 : 8.88437
  40. ema21 : 8.87312
  41. ema50 : 8.86496
  42. ema100 : 8.87047
  43. price_ema9_diff : 0.00355984
  44. ema9_ema21_diff : 0.00126718
  45. ema21_ema50_diff : 0.000921487
  46. price_ema100_diff : 0.00513229
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.630183
  50. kc_percentage : 1.06786
  51. kc_width_percentage : 0.00834436
  52. volume_ema_diff : -0.620713
  53. volume_ema1 : 20322.119266697
  54. volume_ema2 : 53579.804725359
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    107198
  59. 5m_price_ema100_diff:
    0.00161418
  60. 5m_price:
    107372
  61. 5m_correlation_with_coin:
    0.691179
  62. btc_indicators
  63. 15m_ema100:
    107351
  64. 15m_price_ema100_diff:
    0.000186423
  65. 15m_price:
    107372
  66. btc_indicators
  67. 1H_ema100:
    105105
  68. 1H_price_ema100_diff:
    0.0215621
  69. 1H_price:
    107372
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
26 Jun 2025
14:13:25
26 Jun 2025
14:30:00
16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
8.916 8.9459 8.8712 1.5 3.319
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 8.916
  • Stop Loss: 8.9459
  • Take Profit: 8.8712

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 8.9459 - 8.916 = 0.0299

  • Récompense (distance jusqu'au take profit):

    E - TP = 8.916 - 8.8712 = 0.0448

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0448 / 0.0299 = 1.4983

📌 Position Size

Amount Margin Quantity Leverage
2385.5944 100 267.5633 23.86
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 0.0299

Taille de position = 8 / 0.0299 = 267.56

Taille de position USD = 267.56 x 8.916 = 2385.56

Donc, tu peux acheter 267.56 avec un stoploss a 8.9459

Avec un position size USD de 2385.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 267.56 x 0.0299 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 267.56 x 0.0448 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position 267.56
  • Taille de position USD 2385.56
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4983

📌 Peformances

TP % Target TP $ Target
0.5 % 11.99 $
SL % Target SL $ Target
0.34 % 8 $
PNL PNL %
12.04 $ 0.50
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0224 % 6.66 % 1

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 8.856
            [stop_loss] => 8.946
            [rr_ratio] => 2
            [closed_at] => 2025-06-26 15:15:00
            [result] => loss
        )

    [2.5] => Array
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            [take_profit] => 8.841
            [stop_loss] => 8.946
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-26 15:15:00
            [result] => loss
        )

    [3] => Array
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            [take_profit] => 8.826
            [stop_loss] => 8.946
            [rr_ratio] => 3
            [closed_at] => 2025-06-26 15:15:00
            [result] => loss
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    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-06-26 15:15:00
            [result] => loss
        )

    [4] => Array
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            [rr_ratio] => 4
            [closed_at] => 2025-06-26 15:15:00
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    [4.5] => Array
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            [take_profit] => 8.781
            [stop_loss] => 8.946
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-26 15:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 8.766
            [stop_loss] => 8.946
            [rr_ratio] => 5
            [closed_at] => 2025-06-26 15:15:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 8.751
            [stop_loss] => 8.946
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-26 15:15:00
            [result] => loss
        )

    [6] => Array
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            [take_profit] => 8.736
            [stop_loss] => 8.946
            [rr_ratio] => 6
            [closed_at] => 2025-06-26 15:15:00
            [result] => loss
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    [6.5] => Array
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            [take_profit] => 8.721
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            [rr_ratio] => 6.5
            [closed_at] => 2025-06-26 15:15:00
            [result] => loss
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    [7] => Array
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            [take_profit] => 8.706
            [stop_loss] => 8.946
            [rr_ratio] => 7
            [closed_at] => 2025-06-26 15:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
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            [max_gain] => 0.047000000000001
            [max_drawdown] => 0.067
            [rr_ratio] => 0.7
            [high] => 8.98300000
            [low] => 8.86900000
            [mfe_pct] => 0.53
            [mae_pct] => 0.75
            [mfe_mae_ratio] => 0.7
            [candles_analyzed] => 24
            [start_at] => 2025-06-26T14:13:25-04:00
            [end_at] => 2025-06-26T16:13:25-04:00
        )

    [long_term] => Array
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            [max_gain] => 0.047000000000001
            [max_drawdown] => 0.118
            [rr_ratio] => 0.4
            [high] => 9.03400000
            [low] => 8.86900000
            [mfe_pct] => 0.53
            [mae_pct] => 1.32
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 72
            [start_at] => 2025-06-26T14:13:25-04:00
            [end_at] => 2025-06-26T20:13:25-04:00
        )

    [breakout] => Array
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            [high_before] => 9.09000000
            [high_after] => 9.03400000
            [low_before] => 8.76000000
            [low_after] => 8.86900000
            [is_new_high] => 
            [is_new_low] => 
        )

)