Short Trade on TRUMP 05 Jul 2025 at 18:57:05

Take profit at 8.5289 (0.2 %) and Stop Loss at 8.5574 (0.13 %)

Short Trade on TRUMP

The 05 Jul 2025 at 18:57:05

With 701.3638 TRUMP at 8.546$ per unit.

Position size of 5993.8553 $

Take profit at 8.5289 (0.2 %) and Stop Loss at 8.5574 (0.13 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 120
ML Pullback Score: 6.99
Prediction Score: -0.5179
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.53
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.570033

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.007604232094
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 8.52646
  4. ema21 : 8.54961
  5. ema50 : 8.61526
  6. ema100 : 8.65187
  7. price_ema9_diff : 0.00229123
  8. ema9_ema21_diff : -0.00270743
  9. ema21_ema50_diff : -0.00762078
  10. price_ema100_diff : -0.012237
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.470194
  14. kc_percentage : 0.493403
  15. kc_width_percentage : 0.0219981
  16. volume_ema_diff : -0.454064
  17. volume_ema1 : 305844.39483075
  18. volume_ema2 : 560220.55074725
  19. ¸
  20. 15m
  21. ema9 : 8.52862
  22. ema21 : 8.51843
  23. ema50 : 8.52652
  24. ema100 : 8.53721
  25. price_ema9_diff : 0.00203764
  26. ema9_ema21_diff : 0.00119601
  27. ema21_ema50_diff : -0.000949226
  28. price_ema100_diff : 0.00102881
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.581137
  32. kc_percentage : 0.87427
  33. kc_width_percentage : 0.00854945
  34. volume_ema_diff : -0.414503
  35. volume_ema1 : 51466.297189928
  36. volume_ema2 : 87901.911938014
  37. ¸
  38. 5m
  39. ema9 : 8.53746
  40. ema21 : 8.53102
  41. ema50 : 8.51863
  42. ema100 : 8.51441
  43. price_ema9_diff : 0.000999444
  44. ema9_ema21_diff : 0.00075554
  45. ema21_ema50_diff : 0.00145379
  46. price_ema100_diff : 0.00370977
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.648262
  50. kc_percentage : 1.00843
  51. kc_width_percentage : 0.00332142
  52. volume_ema_diff : 0.313483
  53. volume_ema1 : 32223.077690452
  54. volume_ema2 : 24532.530355126
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    108035
  59. 5m_price_ema100_diff:
    0.000782611
  60. 5m_price:
    108119
  61. 5m_correlation_with_coin:
    0.570033
  62. btc_indicators
  63. 15m_ema100:
    108024
  64. 15m_price_ema100_diff:
    0.000943139
  65. 15m_price:
    108126
  66. btc_indicators
  67. 1H_ema100:
    107914
  68. 1H_price_ema100_diff:
    0.00189919
  69. 1H_price:
    108119
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
05 Jul 2025
18:57:05
05 Jul 2025
19:35:00
37 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
8.546 8.5574 8.5289 1.5 3.435
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 8.546
  • Stop Loss: 8.5574
  • Take Profit: 8.5289

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 8.5574 - 8.546 = 0.0114

  • Récompense (distance jusqu'au take profit):

    E - TP = 8.546 - 8.5289 = 0.017099999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.017099999999999 / 0.0114 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
5993.8553 100 701.3638 59.94
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 0.0114

Taille de position = 8 / 0.0114 = 701.75

Taille de position USD = 701.75 x 8.546 = 5997.16

Donc, tu peux acheter 701.75 avec un stoploss a 8.5574

Avec un position size USD de 5997.16$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 701.75 x 0.0114 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 701.75 x 0.017099999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 701.75
  • Taille de position USD 5997.16
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.2 % 11.99 $
SL % Target SL $ Target
0.13 % 8 $
PNL PNL %
11.92 $ 0.20
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0936 % 72.73 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 8.524
            [stop_loss] => 8.557
            [rr_ratio] => 2
            [closed_at] => 2025-07-05 19:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 8.5185
            [stop_loss] => 8.557
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-05 20:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 8.513
            [stop_loss] => 8.557
            [rr_ratio] => 3
            [closed_at] => 2025-07-05 20:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 8.5075
            [stop_loss] => 8.557
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-05 20:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 8.502
            [stop_loss] => 8.557
            [rr_ratio] => 4
            [closed_at] => 2025-07-05 22:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 8.4965
            [stop_loss] => 8.557
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-05 22:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 8.491
            [stop_loss] => 8.557
            [rr_ratio] => 5
            [closed_at] => 2025-07-05 23:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 8.4855
            [stop_loss] => 8.557
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-05 23:20:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 8.48
            [stop_loss] => 8.557
            [rr_ratio] => 6
            [closed_at] => 2025-07-05 23:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.039
            [max_drawdown] => 0.0080000000000009
            [rr_ratio] => 4.87
            [high] => 8.55400000
            [low] => 8.50700000
            [mfe_pct] => 0.46
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 4.87
            [candles_analyzed] => 24
            [start_at] => 2025-07-05T18:57:05-04:00
            [end_at] => 2025-07-05T20:57:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.068
            [max_drawdown] => 0.0080000000000009
            [rr_ratio] => 8.5
            [high] => 8.55400000
            [low] => 8.47800000
            [mfe_pct] => 0.8
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 8.5
            [candles_analyzed] => 72
            [start_at] => 2025-07-05T18:57:05-04:00
            [end_at] => 2025-07-06T00:57:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 8.54700000
            [high_after] => 8.55400000
            [low_before] => 8.44000000
            [low_after] => 8.47800000
            [is_new_high] => 
            [is_new_low] => 
        )

)