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Trade

sell - GOAT

Status
loss
2025-06-13 11:36:54
33 minutes
PNL
-1.14
Entry: 0.1051
Last: 0.10630000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 1.5125
Prediction 1 Probability
Strong Trade
0.74
Prediction 2 Probability
1 0.53
Prediction 3 Probability
n/a
ML Trade Score: -70
ML Pullback Score: 2.74

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0008192210659
Details
  1. score: 1.11
  2. 1H
  3. ema9 - 0.102495
  4. ema21 - 0.105105
  5. ema50 - 0.112768
  6. ema100 - 0.119
  7. price_ema9_diff - 0.0254147
  8. ema9_ema21_diff - -0.0248393
  9. ema21_ema50_diff - -0.0679513
  10. price_ema100_diff - -0.116808
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.450546
  14. kc_percentage - 0.526102
  15. kc_width_percentage - 0.104941
  16. volume_ema_diff - -0.141528
    17. ¸
  17. 15m
  18. ema9 - 0.103149
  19. ema21 - 0.102197
  20. ema50 - 0.102727
  21. ema100 - 0.105895
  22. price_ema9_diff - 0.0189096
  23. ema9_ema21_diff - 0.00931745
  24. ema21_ema50_diff - -0.00516531
  25. price_ema100_diff - -0.00751503
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.675303
  29. kc_percentage - 1.03411
  30. kc_width_percentage - 0.051067
  31. volume_ema_diff - 0.674441
    32. ¸
  32. 5m
  33. ema9 - 0.104123
  34. ema21 - 0.102964
  35. ema50 - 0.102026
  36. ema100 - 0.101517
  37. price_ema9_diff - 0.0093772
  38. ema9_ema21_diff - 0.0112573
  39. ema21_ema50_diff - 0.00918912
  40. price_ema100_diff - 0.0352913
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.716646
  44. kc_percentage - 1.10509
  45. kc_width_percentage - 0.0325659
  46. volume_ema_diff - 0.866248
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104814
  50. 5m_price_ema100_diff: 0.00715454
  51. 5m_price: 105564
  52. 5m_correlation_with_coin: 0.795348
  53. btc_indicators
  54. 15m_ema100: 105306
  55. 15m_price_ema100_diff: 0.00244893
  56. 15m_price: 105564
  57. btc_indicators
  58. 1H_ema100: 107177
  59. 1H_price_ema100_diff: -0.0150458
  60. 1H_price: 105564
    61. ¸

Short Trade on GOAT

The 13 Jun 2025 at 11:36:54

With 6510.2493 GOAT at 0.1051$ per unit.

Position size of 684.2272 $

Take profit at 0.1033 (1.71 %) and Stop Loss at 0.1063 (1.14 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -92.78 %

Symbol Start at Seach Score Trade Score Trades Count
PNUT 2025-06-13 11:32:02 0.9674 -100 2
MEW 2025-06-13 11:35:37 0.9772 -100 1
ZK 2025-06-13 11:35:26 0.9701 -100 1
POPCAT 2025-06-13 11:36:08 0.9689 -100 1
FIL 2025-06-13 11:42:34 0.9646 -100 1
ARB 2025-06-13 11:38:15 0.9583 -100 2
FET 2025-06-13 11:44:07 0.9615 -100 1
GALA 2025-06-13 11:36:17 0.955 -100 2
HBAR 2025-06-13 11:38:01 0.9537 -35 2

📌 Time Data

Start at Closed at Duration
13 Jun 2025
11:36:54		 13 Jun 2025
12:10:00		 33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1051 0.1063 0.1033 1.5 0.0974
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 0.1051
  • Stop Loss: 0.1063
  • Take Profit: 0.1033

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1063 - 0.1051 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1051 - 0.1033 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.0012 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
684.2272 100 6510.2493 6.84
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.1051 = 700.67

Donc, tu peux acheter 6666.67 avec un stoploss a 0.1063

Avec un position size USD de 700.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0018 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 700.67
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.71 % 11.72 $
SL % Target SL $ Target
1.14 % 7.81 $
PNL PNL %
-7.81 $ -1.14
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3035 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1033
            [entry_price] => 0.1051
            [stop_loss] => 0.10642
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-06-13 12:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1033
            [entry_price] => 0.1051
            [stop_loss] => 0.10654
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-06-13 13:15:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1033
            [entry_price] => 0.1051
            [stop_loss] => 0.10666
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-06-13 13:15:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1033
            [entry_price] => 0.1051
            [stop_loss] => 0.1069
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-06-13 13:15:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00223
            [max_drawdown] => 0.00143
            [rr_ratio] => 1.56
            [high] => 0.10653000
            [low] => 0.10287000
            [mfe_pct] => 2.12
            [mae_pct] => 1.36
            [mfe_mae_ratio] => 1.56
            [candles_analyzed] => 24
            [start_at] => 2025-06-13T11:36:54-04:00
            [end_at] => 2025-06-13T13:36:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00356
            [max_drawdown] => 0.00143
            [rr_ratio] => 2.49
            [high] => 0.10653000
            [low] => 0.10154000
            [mfe_pct] => 3.39
            [mae_pct] => 1.36
            [mfe_mae_ratio] => 2.49
            [candles_analyzed] => 72
            [start_at] => 2025-06-13T11:36:54-04:00
            [end_at] => 2025-06-13T17:36:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10549000
            [high_after] => 0.10653000
            [low_before] => 0.09983000
            [low_after] => 0.10154000
            [is_new_high] => 
            [is_new_low] => 
        )

)