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Trade

sell - TRUMP

Status
win
2025-05-23 05:50:41
19 minutes
PNL
1.00
Entry: 14.039
Last: 13.90000000

Results

Status:
win
Trade Type:
sell
Prediction Score: -1.9703
Prediction 1 Probability
Weak Trade
0.6
Prediction 2 Probability
1 0.45
Prediction 3 Probability
n/a
ML Trade Score: 140
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.05979173444
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 14.1065
  4. ema21 - 14.4187
  5. ema50 - 14.4362
  6. ema100 - 14.0655
  7. price_ema9_diff - -0.00479007
  8. ema9_ema21_diff - -0.0216478
  9. ema21_ema50_diff - -0.00121747
  10. price_ema100_diff - -0.00188656
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.415636
  14. kc_percentage - 0.263925
  15. kc_width_percentage - 0.110066
    16. ¸
  16. 15m
  17. ema9 - 13.918
  18. ema21 - 13.9869
  19. ema50 - 14.2604
  20. ema100 - 14.5265
  21. price_ema9_diff - 0.00868999
  22. ema9_ema21_diff - -0.00492519
  23. ema21_ema50_diff - -0.0191829
  24. price_ema100_diff - -0.0335656
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.497047
  28. kc_percentage - 0.616883
  29. kc_width_percentage - 0.0373238
    30. ¸
  30. 5m
  31. ema9 - 13.9737
  32. ema21 - 13.9149
  33. ema50 - 13.9457
  34. ema100 - 14.0822
  35. price_ema9_diff - 0.00466656
  36. ema9_ema21_diff - 0.00423022
  37. ema21_ema50_diff - -0.0022113
  38. price_ema100_diff - -0.00307065
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.65483
  42. kc_percentage - 1.05398
  43. kc_width_percentage - 0.0156164
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 110943
  47. 5m_price_ema100_diff: 0.00312106
  48. 5m_price: 111289
  49. 5m_correlation_with_coin: 0.595408
  50. btc_indicators
  51. 15m_ema100: 110996
  52. 15m_price_ema100_diff: 0.00264085
  53. 15m_price: 111289
  54. btc_indicators
  55. 1H_ema100: 108110
  56. 1H_price_ema100_diff: 0.0294081
  57. 1H_price: 111289
    58. ¸

Short Trade on TRUMP

The 23 May 2025 at 05:50:41

With 89.1985 TRUMP at 14.039$ per unit.

Position size of 1252.2578 $

Take profit at 13.9045 (0.96 %) and Stop Loss at 14.1287 (0.64 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -37.08 %

Symbol Start at Seach Score Trade Score Trades Count
CTC 2025-08-22 10:10:11 0.9555 -100 3
AVAX 2025-04-06 11:55:28 0.9553 100 2
GRIFFAIN 2025-05-23 21:26:43 0.956 30 2
AAVE 2025-05-29 23:13:27 0.9564 -100 1
KAITO 2025-05-23 21:44:56 0.955 -100 1
BROCCOLIF3B 2025-05-15 06:06:16 0.9548 30 1
ALGO 2025-08-11 20:59:01 0.9546 -100 1
HYPER 2025-07-29 19:06:51 0.9532 -56.67 3

📌 Time Data

Start at Closed at Duration
23 May 2025
05:50:41		 23 May 2025
06:10:00		 19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
14.039 14.1287 13.9045 1.5 8.51
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 14.039
  • Stop Loss: 14.1287
  • Take Profit: 13.9045

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 14.1287 - 14.039 = 0.089700000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 14.039 - 13.9045 = 0.1345

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.1345 / 0.089700000000001 = 1.4994

📌 Position Size

Amount Margin Quantity Leverage
1252.2578 100 89.1985 12.52
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 0.089700000000001

Taille de position = 8 / 0.089700000000001 = 89.19

Taille de position USD = 89.19 x 14.039 = 1252.14

Donc, tu peux acheter 89.19 avec un stoploss a 14.1287

Avec un position size USD de 1252.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 89.19 x 0.089700000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 89.19 x 0.1345 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 89.19
  • Taille de position USD 1252.14
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.4994

📌 Peformances

TP % Target TP $ Target
0.96 % 12 $
SL % Target SL $ Target
0.64 % 8 $
PNL PNL %
12.49 $ 1.00
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 13.86
            [stop_loss] => 14.13
            [rr_ratio] => 2
            [closed_at] => 2025-05-23 06:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 13.815
            [stop_loss] => 14.13
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-23 07:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 13.77
            [stop_loss] => 14.13
            [rr_ratio] => 3
            [closed_at] => 2025-05-23 07:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 13.725
            [stop_loss] => 14.13
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-23 07:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 13.68
            [stop_loss] => 14.13
            [rr_ratio] => 4
            [closed_at] => 2025-05-23 07:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 13.635
            [stop_loss] => 14.13
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-23 07:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 13.59
            [stop_loss] => 14.13
            [rr_ratio] => 5
            [closed_at] => 2025-05-23 07:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 13.545
            [stop_loss] => 14.13
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-23 07:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 13.5
            [stop_loss] => 14.13
            [rr_ratio] => 6
            [closed_at] => 2025-05-23 07:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 13.455
            [stop_loss] => 14.13
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-23 07:45:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 13.41
            [stop_loss] => 14.13
            [rr_ratio] => 7
            [closed_at] => 2025-05-23 07:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.828
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 14.03000000
            [low] => 13.21100000
            [mfe_pct] => 5.9
            [mae_pct] => -0.06
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-23T05:50:41-04:00
            [end_at] => 2025-05-23T07:50:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.105
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 14.03000000
            [low] => 12.93400000
            [mfe_pct] => 7.87
            [mae_pct] => -0.06
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-23T05:50:41-04:00
            [end_at] => 2025-05-23T11:50:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 14.28200000
            [high_after] => 14.03000000
            [low_before] => 13.45500000
            [low_after] => 12.93400000
            [is_new_high] => 
            [is_new_low] => 1
        )

)