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Trade

sell - COW

Status
win
2025-08-11 12:05:33
14 minutes
PNL
0.94
Entry: 0.4136
Last: 0.40970000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.4303
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.76
ML Trade Score: 110
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.52
  4. atr: 0.001712271603
Details
  1. score: 1.52
  2. 1H
  3. ema9 - 0.41163
  4. ema21 - 0.418564
  5. ema50 - 0.423161
  6. ema100 - 0.414867
  7. price_ema9_diff - 0.00478375
  8. ema9_ema21_diff - -0.0165652
  9. ema21_ema50_diff - -0.0108632
  10. price_ema100_diff - -0.00305579
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.43016
  14. adx - 0.28257
  15. kc_percentage - 0.351064
  16. kc_width_percentage - 0.0730323
  17. volume_ema_diff - -0.485139
  18. volume_ema1 - 193242.12171391
  19. volume_ema2 - 375329.16371948
    20. ¸
  20. 15m
  21. ema9 - 0.407146
  22. ema21 - 0.408003
  23. ema50 - 0.414016
  24. ema100 - 0.419409
  25. price_ema9_diff - 0.0158506
  26. ema9_ema21_diff - -0.00210065
  27. ema21_ema50_diff - -0.0145245
  28. price_ema100_diff - -0.013852
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.574818
  32. adx - 0.416502
  33. kc_percentage - 0.894727
  34. kc_width_percentage - 0.0354899
  35. volume_ema_diff - -0.493774
  36. volume_ema1 - 34338.239873835
  37. volume_ema2 - 67831.874842258
    38. ¸
  38. 5m
  39. ema9 - 0.408815
  40. ema21 - 0.406819
  41. ema50 - 0.406832
  42. ema100 - 0.409649
  43. price_ema9_diff - 0.0117042
  44. ema9_ema21_diff - 0.00490608
  45. ema21_ema50_diff - -3.28788E-5
  46. price_ema100_diff - 0.00964344
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.723615
  50. adx - 0.207731
  51. kc_percentage - 1.51699
  52. kc_width_percentage - 0.0159114
  53. volume_ema_diff - -0.266086
  54. volume_ema1 - 14667.156415439
  55. volume_ema2 - 19984.864657331
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 120507
  59. 5m_price_ema100_diff: -0.00141644
  60. 5m_price: 120336
  61. 5m_correlation_with_coin: 0.503303
  62. btc_indicators
  63. 15m_ema100: 120206
  64. 15m_price_ema100_diff: 0.00108187
  65. 15m_price: 120336
  66. btc_indicators
  67. 1H_ema100: 118336
  68. 1H_price_ema100_diff: 0.0169056
  69. 1H_price: 120336
    70. ¸

Short Trade on COW

The 11 Aug 2025 at 12:05:33

With 3114.7706 COW at 0.4136$ per unit.

Position size of 1288.2691 $

Take profit at 0.4097 (0.94 %) and Stop Loss at 0.4162 (0.63 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -25.91 %

Symbol Start at Seach Score Trade Score Trades Count
MOODENG 2025-08-11 12:04:55 0.9795 -60 1
ZRO 2025-04-03 11:42:18 0.9737 -100 1
XNY 2025-08-23 12:02:04 0.9732 -100 1
USUAL 2025-08-11 12:06:11 0.9696 40 1
ROSE 2025-08-11 12:10:06 0.9696 40 1
B3 2025-05-28 17:50:20 0.9666 -35 2
ELDE 2025-05-30 12:12:08 0.967 -100 1
TUT 2025-07-11 21:33:23 0.9637 40 1
COMP 2025-06-13 01:28:39 0.9625 40 2
IO 2025-08-11 12:03:55 0.9613 -90 1
HYPER 2025-08-11 12:07:46 0.9608 40 1

📌 Time Data

Start at Closed at Duration
11 Aug 2025
12:05:33		 11 Aug 2025
12:20:00		 14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4136 0.4162 0.4097 1.5 0.397
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 0.4136
  • Stop Loss: 0.4162
  • Take Profit: 0.4097

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4162 - 0.4136 = 0.0026

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4136 - 0.4097 = 0.0039

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0039 / 0.0026 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1288.2691 100 3114.7706 12.88
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 0.0026

Taille de position = 8 / 0.0026 = 3076.92

Taille de position USD = 3076.92 x 0.4136 = 1272.61

Donc, tu peux acheter 3076.92 avec un stoploss a 0.4162

Avec un position size USD de 1272.61$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3076.92 x 0.0026 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3076.92 x 0.0039 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 3076.92
  • Taille de position USD 1272.61
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.94 % 12.15 $
SL % Target SL $ Target
0.63 % 8.1 $
PNL PNL %
12.15 $ 0.94
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3143 % 50 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.4084
            [stop_loss] => 0.4162
            [rr_ratio] => 2
            [closed_at] => 2025-08-11 13:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.4071
            [stop_loss] => 0.4162
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-11 14:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.4058
            [stop_loss] => 0.4162
            [rr_ratio] => 3
            [closed_at] => 2025-08-11 14:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.4045
            [stop_loss] => 0.4162
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-11 17:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.4032
            [stop_loss] => 0.4162
            [rr_ratio] => 4
            [closed_at] => 2025-08-11 17:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.4019
            [stop_loss] => 0.4162
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-11 17:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.4006
            [stop_loss] => 0.4162
            [rr_ratio] => 5
            [closed_at] => 2025-08-11 17:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.3993
            [stop_loss] => 0.4162
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-11 18:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0082
            [max_drawdown] => 0.0013
            [rr_ratio] => 6.31
            [high] => 0.41490000
            [low] => 0.40540000
            [mfe_pct] => 1.98
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 6.31
            [candles_analyzed] => 24
            [start_at] => 2025-08-11T12:05:33-04:00
            [end_at] => 2025-08-11T14:05:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0154
            [max_drawdown] => 0.0013
            [rr_ratio] => 11.85
            [high] => 0.41490000
            [low] => 0.39820000
            [mfe_pct] => 3.72
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 11.85
            [candles_analyzed] => 84
            [start_at] => 2025-08-11T12:05:33-04:00
            [end_at] => 2025-08-11T19:05:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.41530000
            [high_after] => 0.41490000
            [low_before] => 0.39010000
            [low_after] => 0.39930000
            [is_new_high] => 
            [is_new_low] => 
        )

)