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Trade

sell - CROSS

Status
win
2025-08-02 15:30:25
4 minutes
PNL
1.29
Entry: 0.2783
Last: 0.27470000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.9496
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
1 0.49
Prediction 3 Probability
0 0.91
ML Trade Score: 110
ML Pullback Score: 7.52

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.001575073914
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 0.275835
  4. ema21 - 0.280111
  5. ema50 - 0.290137
  6. ema100 - 0.29901
  7. price_ema9_diff - 0.00879031
  8. ema9_ema21_diff - -0.0152662
  9. ema21_ema50_diff - -0.0345563
  10. price_ema100_diff - -0.0693971
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.445609
  14. adx - 0.290318
  15. kc_percentage - 0.443002
  16. kc_width_percentage - 0.0911786
  17. volume_ema_diff - -0.392935
  18. volume_ema1 - 344916.5631955
  19. volume_ema2 - 568170.93449181
    20. ¸
  20. 15m
  21. ema9 - 0.2753
  22. ema21 - 0.275004
  23. ema50 - 0.276982
  24. ema100 - 0.282071
  25. price_ema9_diff - 0.0107486
  26. ema9_ema21_diff - 0.00107818
  27. ema21_ema50_diff - -0.00714227
  28. price_ema100_diff - -0.0135121
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.574347
  32. adx - 0.187724
  33. kc_percentage - 0.774529
  34. kc_width_percentage - 0.0428573
  35. volume_ema_diff - -0.346061
  36. volume_ema1 - 69205.404793175
  37. volume_ema2 - 105828.65483195
    38. ¸
  38. 5m
  39. ema9 - 0.275917
  40. ema21 - 0.274741
  41. ema50 - 0.274511
  42. ema100 - 0.274684
  43. price_ema9_diff - 0.00849091
  44. ema9_ema21_diff - 0.00427919
  45. ema21_ema50_diff - 0.000839017
  46. price_ema100_diff - 0.0130183
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.658924
  50. adx - 0.219982
  51. kc_percentage - 1.0672
  52. kc_width_percentage - 0.0220542
  53. volume_ema_diff - -0.276324
  54. volume_ema1 - 23284.165664923
  55. volume_ema2 - 32174.882464386
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 112988
  59. 5m_price_ema100_diff: -0.00240415
  60. 5m_price: 112717
  61. 5m_correlation_with_coin: 0.417111
  62. btc_indicators
  63. 15m_ema100: 113358
  64. 15m_price_ema100_diff: -0.00566259
  65. 15m_price: 112717
  66. btc_indicators
  67. 1H_ema100: 115517
  68. 1H_price_ema100_diff: -0.0242406
  69. 1H_price: 112717
    70. ¸

Short Trade on CROSS

The 02 Aug 2025 at 15:30:25

With 3386.0845 CROSS at 0.2783$ per unit.

Position size of 942.2119 $

Take profit at 0.2747 (1.29 %) and Stop Loss at 0.2806 (0.83 %)

That's a 1.57 RR Trade

📌 Similar Trades

Similar Trade Score: -17.31 %

Symbol Start at Seach Score Trade Score Trades Count
KMNO 2025-07-23 21:55:52 0.922 -100 1
BLUR 2025-07-29 00:10:14 0.9169 30 1
ALICE 2025-08-21 17:14:43 0.9156 -100 1
MOVE 2025-06-12 09:21:20 0.913 -13.33 3
ZORA 2025-07-31 15:57:00 0.9122 40 1
BROCCOLIF3B 2025-05-02 18:53:25 0.9106 -2.5 4
WIF 2025-05-31 08:15:12 0.9106 30 1
PENGU 2025-07-09 07:07:17 0.9095 -100 1
GORK 2025-05-12 20:19:07 0.9085 60 1

📌 Time Data

Start at Closed at Duration
02 Aug 2025
15:30:25		 02 Aug 2025
15:35:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2783 0.2806 0.2747 1.57 0.2152
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 0.2783
  • Stop Loss: 0.2806
  • Take Profit: 0.2747

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2806 - 0.2783 = 0.0023

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2783 - 0.2747 = 0.0036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0036 / 0.0023 = 1.5652

📌 Position Size

Amount Margin Quantity Leverage
942.2119 100 3386.0845 9.42
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 0.0023

Taille de position = 8 / 0.0023 = 3478.26

Taille de position USD = 3478.26 x 0.2783 = 968

Donc, tu peux acheter 3478.26 avec un stoploss a 0.2806

Avec un position size USD de 968$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3478.26 x 0.0023 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3478.26 x 0.0036 = 12.52

Si Take Profit atteint, tu gagneras 12.52$

Résumé

  • Taille de position 3478.26
  • Taille de position USD 968
  • Perte potentielle 8
  • Gain potentiel 12.52
  • Risk-Reward Ratio 1.5652

📌 Peformances

TP % Target TP $ Target
1.29 % 12.19 $
SL % Target SL $ Target
0.83 % 7.79 $
PNL PNL %
12.19 $ 1.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2737
            [stop_loss] => 0.2806
            [rr_ratio] => 2
            [closed_at] => 2025-08-02 15:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.27255
            [stop_loss] => 0.2806
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-02 16:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2714
            [stop_loss] => 0.2806
            [rr_ratio] => 3
            [closed_at] => 2025-08-02 16:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.27025
            [stop_loss] => 0.2806
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-02 16:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2691
            [stop_loss] => 0.2806
            [rr_ratio] => 4
            [closed_at] => 2025-08-02 16:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.26795
            [stop_loss] => 0.2806
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-02 16:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2668
            [stop_loss] => 0.2806
            [rr_ratio] => 5
            [closed_at] => 2025-08-02 16:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.26565
            [stop_loss] => 0.2806
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-02 17:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.01273
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.27734000
            [low] => 0.26557000
            [mfe_pct] => 4.57
            [mae_pct] => -0.34
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-02T15:30:25-04:00
            [end_at] => 2025-08-02T17:30:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01273
            [max_drawdown] => 0.00501
            [rr_ratio] => 2.54
            [high] => 0.28331000
            [low] => 0.26557000
            [mfe_pct] => 4.57
            [mae_pct] => 1.8
            [mfe_mae_ratio] => 2.54
            [candles_analyzed] => 84
            [start_at] => 2025-08-02T15:30:25-04:00
            [end_at] => 2025-08-02T22:30:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.27884000
            [high_after] => 0.27993000
            [low_before] => 0.26827000
            [low_after] => 0.26557000
            [is_new_high] => 
            [is_new_low] => 1
        )

)