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Trade

sell - TRUMP

Status
win
2025-07-04 21:00:43
14 minutes
PNL
0.32
Entry: 8.571
Last: 8.54400000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.425
Prediction 1 Accuracy
Weak Trade
0.57
Prediction 2 Accuracy
1 0.38
ML Trade Score: 60

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.01197493382
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 8.55352
  4. ema21 - 8.62194
  5. ema50 - 8.71322
  6. ema100 - 8.75686
  7. price_ema9_diff - 0.00204328
  8. ema9_ema21_diff - -0.00793604
  9. ema21_ema50_diff - -0.010476
  10. price_ema100_diff - -0.0212247
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.410702
  14. kc_percentage - 0.315287
  15. kc_width_percentage - 0.0286866
  16. volume_ema_diff - -0.554985
  17. volume_ema1 - 369489.51812061
  18. volume_ema2 - 830286.16753681
    19. ¸
  19. 15m
  20. ema9 - 8.54677
  21. ema21 - 8.53641
  22. ema50 - 8.57198
  23. ema100 - 8.64424
  24. price_ema9_diff - 0.00283382
  25. ema9_ema21_diff - 0.00121468
  26. ema21_ema50_diff - -0.0041504
  27. price_ema100_diff - -0.00847289
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.572804
  31. kc_percentage - 0.86896
  32. kc_width_percentage - 0.0109816
  33. volume_ema_diff - -0.480093
  34. volume_ema1 - 88784.27694161
  35. volume_ema2 - 170769.62238139
    36. ¸
  36. 5m
  37. ema9 - 8.56162
  38. ema21 - 8.54421
  39. ema50 - 8.52964
  40. ema100 - 8.52467
  41. price_ema9_diff - 0.0010951
  42. ema9_ema21_diff - 0.00203706
  43. ema21_ema50_diff - 0.0017083
  44. price_ema100_diff - 0.00543424
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.645706
  48. kc_percentage - 1.03267
  49. kc_width_percentage - 0.00564814
  50. volume_ema_diff - -0.408635
  51. volume_ema1 - 23608.382107699
  52. volume_ema2 - 39921.903593577
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 107865
  56. 5m_price_ema100_diff: 0.00254308
  57. 5m_price: 108140
  58. 5m_correlation_with_coin: 0.633408
  59. btc_indicators
  60. 15m_ema100: 108330
  61. 15m_price_ema100_diff: -0.0017617
  62. 15m_price: 108140
  63. btc_indicators
  64. 1H_ema100: 108164
  65. 1H_price_ema100_diff: -0.000227654
  66. 1H_price: 108140
    67. ¸

Short Trade on TRUMP

The 04 Jul 2025 at 21:00:43

With 445.4 TRUMP at 8.571$ per unit.

Position size of 3817 $

Take profit at 8.544 (0.32 %) and Stop Loss at 8.589 (0.21 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -14.29 %

Symbol Start at Seach Score Trade Score Trades Count
TON 2025-04-07 01:21:07 0.964 -100 5
PI 2025-04-20 13:02:23 0.9669 40 1
OP 2025-07-04 20:45:11 0.9666 30 1
DOGS 2025-03-28 11:25:04 0.9629 100 1
LDO 2025-07-04 20:28:19 0.9615 30 1
BGB 2025-06-18 17:54:50 0.9607 -100 2
ATH 2025-07-04 20:58:29 0.9601 -100 1

📌 Time Data

Start at Closed at Duration
04 Jul 2025
21:00:43		 04 Jul 2025
21:15:00		 14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
8.571 8.589 8.544 1.5 8.665
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 8.571
  • Stop Loss: 8.589
  • Take Profit: 8.544

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 8.589 - 8.571 = 0.018000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 8.571 - 8.544 = 0.026999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.026999999999999 / 0.018000000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3817 100 445.4 38.17
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 0.018000000000001

Taille de position = 8 / 0.018000000000001 = 444.44

Taille de position USD = 444.44 x 8.571 = 3809.3

Donc, tu peux acheter 444.44 avec un stoploss a 8.589

Avec un position size USD de 3809.3$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 444.44 x 0.018000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 444.44 x 0.026999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 444.44
  • Taille de position USD 3809.3
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.32 % 12 $
SL % Target SL $ Target
0.21 % 8 $
PNL PNL %
12 $ 0.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 8.535
            [stop_loss] => 8.589
            [rr_ratio] => 2
            [closed_at] => 2025-07-04 21:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 8.526
            [stop_loss] => 8.589
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-04 21:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 8.517
            [stop_loss] => 8.589
            [rr_ratio] => 3
            [closed_at] => 2025-07-04 22:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 8.508
            [stop_loss] => 8.589
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-04 23:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 8.499
            [stop_loss] => 8.589
            [rr_ratio] => 4
            [closed_at] => 2025-07-04 23:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 8.49
            [stop_loss] => 8.589
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-04 23:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 8.481
            [stop_loss] => 8.589
            [rr_ratio] => 5
            [closed_at] => 2025-07-04 23:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 8.472
            [stop_loss] => 8.589
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-04 23:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 8.463
            [stop_loss] => 8.589
            [rr_ratio] => 6
            [closed_at] => 2025-07-04 23:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 8.454
            [stop_loss] => 8.589
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-04 23:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 8.445
            [stop_loss] => 8.589
            [rr_ratio] => 7
            [closed_at] => 2025-07-04 23:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)