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Short Trade on GOAT

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Short Trade on GOAT 29 May 2025 at 18:24:28

Take profit at 0.1464 (1.01 %) and Stop Loss at 0.149 (0.74 %)

Short Trade on GOAT

The 29 May 2025 at 18:24:28

With 7842.8653 GOAT at 0.1479$ per unit.

Position size of 1160.1951 $

Take profit at 0.1464 (1.01 %) and Stop Loss at 0.149 (0.74 %)

That's a 1.36 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: -0.3
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.51
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.616754

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.33
  4. atr: 0.0006800235833
Details
  1. score: 1.33
  2. 1H
  3. ema9 : 0.146296
  4. ema21 : 0.148351
  5. ema50 : 0.150593
  6. ema100 : 0.150745
  7. price_ema9_diff : 0.0111671
  8. ema9_ema21_diff : -0.0138557
  9. ema21_ema50_diff : -0.0148886
  10. price_ema100_diff : -0.0186768
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.472489
  14. kc_percentage : 0.476668
  15. kc_width_percentage : 0.0822943
    16. ¸
  16. 15m
  17. ema9 : 0.145525
  18. ema21 : 0.145244
  19. ema50 : 0.146799
  20. ema100 : 0.148456
  21. price_ema9_diff : 0.0165233
  22. ema9_ema21_diff : 0.00193636
  23. ema21_ema50_diff : -0.0105923
  24. price_ema100_diff : -0.0035458
  25. all_emas_in_trend : False
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.637602
  28. kc_percentage : 1.04261
  29. kc_width_percentage : 0.0338438
    30. ¸
  30. 5m
  31. ema9 : 0.146664
  32. ema21 : 0.145593
  33. ema50 : 0.144944
  34. ema100 : 0.145203
  35. price_ema9_diff : 0.00862637
  36. ema9_ema21_diff : 0.00735726
  37. ema21_ema50_diff : 0.00447866
  38. price_ema100_diff : 0.018779
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.770519
  42. kc_percentage : 1.32504
  43. kc_width_percentage : 0.018644
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    106435
  47. 5m_price_ema100_diff: 
    -0.00146354
  48. 5m_price: 
    106280
  49. 5m_correlation_with_coin: 
    0.616754
  50. btc_indicators
  51. 15m_ema100: 
    107157
  52. 15m_price_ema100_diff: 
    -0.00818535
  53. 15m_price: 
    106280
  54. btc_indicators
  55. 1H_ema100: 
    108088
  56. 1H_price_ema100_diff: 
    -0.0167311
  57. 1H_price: 
    106280
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 May 2025
18:24:28		 29 May 2025
19:15:00		 50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1479 0.149 0.1464 1.36 0.01872
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 0.1479
  • Stop Loss: 0.149
  • Take Profit: 0.1464

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.149 - 0.1479 = 0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1479 - 0.1464 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.0011 = 1.3636

📌 Position Size

Amount Margin Quantity Leverage
1160.1951 100 7842.8653 11.60
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 0.0011

Taille de position = 8 / 0.0011 = 7272.73

Taille de position USD = 7272.73 x 0.1479 = 1075.64

Donc, tu peux acheter 7272.73 avec un stoploss a 0.149

Avec un position size USD de 1075.64$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7272.73 x 0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7272.73 x 0.0015 = 10.91

Si Take Profit atteint, tu gagneras 10.91$

Résumé

  • Taille de position 7272.73
  • Taille de position USD 1075.64
  • Perte potentielle 8
  • Gain potentiel 10.91
  • Risk-Reward Ratio 1.3636

📌 Peformances

TP % Target TP $ Target
1.01 % 11.76 $
SL % Target SL $ Target
0.74 % 8.63 $
PNL PNL %
11.77 $ 1.01
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.033806626098712 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1457
            [stop_loss] => 0.149
            [rr_ratio] => 2
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.14515
            [stop_loss] => 0.149
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1446
            [stop_loss] => 0.149
            [rr_ratio] => 3
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.14405
            [stop_loss] => 0.149
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-29 20:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1435
            [stop_loss] => 0.149
            [rr_ratio] => 4
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.14295
            [stop_loss] => 0.149
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1424
            [stop_loss] => 0.149
            [rr_ratio] => 5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.14185
            [stop_loss] => 0.149
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-29 20:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1413
            [stop_loss] => 0.149
            [rr_ratio] => 6
            [closed_at] => 2025-05-29 20:50:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.14075
            [stop_loss] => 0.149
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-29 20:50:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1402
            [stop_loss] => 0.149
            [rr_ratio] => 7
            [closed_at] => 2025-05-29 20:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00352
            [max_drawdown] => 4.9999999999994E-5
            [rr_ratio] => 70.4
            [high] => 0.14795000
            [low] => 0.14438000
            [mfe_pct] => 2.38
            [mae_pct] => 0.03
            [mfe_mae_ratio] => 70.4
            [candles_analyzed] => 24
            [start_at] => 2025-05-29T18:24:28-04:00
            [end_at] => 2025-05-29T20:24:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.02025
            [max_drawdown] => 4.9999999999994E-5
            [rr_ratio] => 100
            [high] => 0.14795000
            [low] => 0.12765000
            [mfe_pct] => 13.69
            [mae_pct] => 0.03
            [mfe_mae_ratio] => 405
            [candles_analyzed] => 72
            [start_at] => 2025-05-29T18:24:28-04:00
            [end_at] => 2025-05-30T00:24:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14793000
            [high_after] => 0.14795000
            [low_before] => 0.14139000
            [low_after] => 0.12765000
            [is_new_high] => 
            [is_new_low] => 1
        )

)