Trade

sell - TRUMP

Status
win
2025-08-01 08:33:24
16 minutes
PNL
0.76
Entry: 8.897
Last: 8.82980000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.425
Prediction 1 Probability
Strong Trade
0.62
Prediction 2 Probability
1 0.56
Prediction 3 Probability
0 0.54
ML Trade Score: 110
ML Pullback Score: 9.34

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.02988432423
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 8.84644
  4. ema21 - 8.94037
  5. ema50 - 9.13409
  6. ema100 - 9.38966
  7. price_ema9_diff - 0.00571496
  8. ema9_ema21_diff - -0.0105062
  9. ema21_ema50_diff - -0.0212082
  10. price_ema100_diff - -0.0524684
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.422191
  14. adx - 0.547879
  15. kc_percentage - 0.412436
  16. kc_width_percentage - 0.045293
  17. volume_ema_diff - 0.054189
  18. volume_ema1 - 1761255.3806661
  19. volume_ema2 - 1670720.5536396
  20. ¸
  21. 15m
  22. ema9 - 8.8331
  23. ema21 - 8.81909
  24. ema50 - 8.86335
  25. ema100 - 8.9671
  26. price_ema9_diff - 0.00723313
  27. ema9_ema21_diff - 0.00158934
  28. ema21_ema50_diff - -0.0049939
  29. price_ema100_diff - -0.00781792
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.600948
  33. adx - 0.333487
  34. kc_percentage - 0.868073
  35. kc_width_percentage - 0.0238495
  36. volume_ema_diff - 0.817205
  37. volume_ema1 - 825957.63734601
  38. volume_ema2 - 454520.76885215
  39. ¸
  40. 5m
  41. ema9 - 8.84887
  42. ema21 - 8.82765
  43. ema50 - 8.81149
  44. ema100 - 8.81512
  45. price_ema9_diff - 0.00543878
  46. ema9_ema21_diff - 0.0024039
  47. ema21_ema50_diff - 0.00183419
  48. price_ema100_diff - 0.00928812
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.662376
  52. adx - 0.249896
  53. kc_percentage - 1.04514
  54. kc_width_percentage - 0.0140289
  55. volume_ema_diff - 3.11055
  56. volume_ema1 - 717175.36608986
  57. volume_ema2 - 174471.75092225
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 115104
  62. 5m_price_ema100_diff: 0.0049971
  63. 5m_price: 115679
  64. 5m_correlation_with_coin: 0.751223
  65. btc_indicators
  66. 15m_ema100: 116072
  67. 15m_price_ema100_diff: -0.00338472
  68. 15m_price: 115679
  69. btc_indicators
  70. 1H_ema100: 117407
  71. 1H_price_ema100_diff: -0.0147194
  72. 1H_price: 115679
  73. ¸

Short Trade on TRUMP

The 01 Aug 2025 at 08:33:24

With 178.4659 TRUMP at 8.897$ per unit.

Position size of 1587.8113 $

Take profit at 8.8298 (0.76 %) and Stop Loss at 8.9418 (0.5 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 31.67 %

Symbol Start at Seach Score Trade Score Trades Count
UXLINK 2025-08-01 08:22:44 0.9694 -10 2
BERA 2025-08-01 08:33:40 0.9783 40 1
ZRO 2025-08-01 08:31:35 0.9754 30 1
AUCTION 2025-08-01 08:24:49 0.9624 30 2
LAYER 2025-08-01 08:33:46 0.9685 40 1
STX 2025-08-01 08:11:28 0.9557 40 1
SOON 2025-08-23 10:58:20 0.9554 30 1
STRK 2025-08-01 08:12:51 0.9537 30 1
COMP 2025-08-01 08:10:59 0.95 40 1
ALGO 2025-08-01 08:10:18 0.9491 40 1
EIGEN 2025-08-01 08:14:12 0.949 30 1
PEOPLE 2025-08-01 08:10:10 0.9483 40 1

📌 Time Data

Start at Closed at Duration
01 Aug 2025
08:33:24
01 Aug 2025
08:50:00
16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
8.897 8.9418 8.8298 1.5 8.621
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 8.897
  • Stop Loss: 8.9418
  • Take Profit: 8.8298

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 8.9418 - 8.897 = 0.0448

  • Récompense (distance jusqu'au take profit):

    E - TP = 8.897 - 8.8298 = 0.0672

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0672 / 0.0448 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1587.8113 100 178.4659 15.88
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 0.0448

Taille de position = 8 / 0.0448 = 178.57

Taille de position USD = 178.57 x 8.897 = 1588.74

Donc, tu peux acheter 178.57 avec un stoploss a 8.9418

Avec un position size USD de 1588.74$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 178.57 x 0.0448 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 178.57 x 0.0672 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 178.57
  • Taille de position USD 1588.74
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.76 % 11.99 $
SL % Target SL $ Target
0.5 % 8 $
PNL PNL %
11.99 $ 0.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0225 % 4.47 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 8.8074
            [stop_loss] => 8.9418
            [rr_ratio] => 2
            [closed_at] => 2025-08-01 09:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 8.785
            [stop_loss] => 8.9418
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-01 09:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 8.7626
            [stop_loss] => 8.9418
            [rr_ratio] => 3
            [closed_at] => 2025-08-01 09:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 8.7402
            [stop_loss] => 8.9418
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-01 09:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 8.7178
            [stop_loss] => 8.9418
            [rr_ratio] => 4
            [closed_at] => 2025-08-01 09:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 8.6954
            [stop_loss] => 8.9418
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-01 09:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 8.673
            [stop_loss] => 8.9418
            [rr_ratio] => 5
            [closed_at] => 2025-08-01 09:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 8.6506
            [stop_loss] => 8.9418
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-01 09:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.261
            [max_drawdown] => 0.0030000000000001
            [rr_ratio] => 87
            [high] => 8.90000000
            [low] => 8.63600000
            [mfe_pct] => 2.93
            [mae_pct] => 0.03
            [mfe_mae_ratio] => 87
            [candles_analyzed] => 24
            [start_at] => 2025-08-01T08:33:24-04:00
            [end_at] => 2025-08-01T10:33:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.261
            [max_drawdown] => 0.039
            [rr_ratio] => 6.69
            [high] => 8.93600000
            [low] => 8.63600000
            [mfe_pct] => 2.93
            [mae_pct] => 0.44
            [mfe_mae_ratio] => 6.69
            [candles_analyzed] => 84
            [start_at] => 2025-08-01T08:33:24-04:00
            [end_at] => 2025-08-01T15:33:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 8.91200000
            [high_after] => 8.93600000
            [low_before] => 8.69000000
            [low_after] => 8.63600000
            [is_new_high] => 
            [is_new_low] => 1
        )

)