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Short Trade on POPCAT

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Short Trade on POPCAT 31 May 2025 at 01:05:51

Take profit at 0.3396 (1.82 %) and Stop Loss at 0.3501 (1.21 %)

Short Trade on POPCAT

The 31 May 2025 at 01:05:51

With 1902.3364 POPCAT at 0.3459$ per unit.

Position size of 658.0182 $

Take profit at 0.3396 (1.82 %) and Stop Loss at 0.3501 (1.21 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 1.92
Prediction Score: 1.8679
Prediction 1 Probability
Strong Trade
0.67
Prediction 2 Probability
1 0.55
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.700292

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.002803570046
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 0.348697
  4. ema21 : 0.364737
  5. ema50 : 0.391599
  6. ema100 : 0.416478
  7. price_ema9_diff : -0.00802292
  8. ema9_ema21_diff : -0.0439754
  9. ema21_ema50_diff : -0.068597
  10. price_ema100_diff : -0.169464
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.354341
  14. kc_percentage : 0.17455
  15. kc_width_percentage : 0.156821
    16. ¸
  16. 15m
  17. ema9 : 0.339669
  18. ema21 : 0.342851
  19. ema50 : 0.354204
  20. ema100 : 0.365894
  21. price_ema9_diff : 0.0183438
  22. ema9_ema21_diff : -0.00928075
  23. ema21_ema50_diff : -0.0320528
  24. price_ema100_diff : -0.0546457
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.506368
  28. kc_percentage : 0.653726
  29. kc_width_percentage : 0.065119
    30. ¸
  30. 5m
  31. ema9 : 0.342097
  32. ema21 : 0.33962
  33. ema50 : 0.340981
  34. ema100 : 0.348428
  35. price_ema9_diff : 0.0111139
  36. ema9_ema21_diff : 0.00729525
  37. ema21_ema50_diff : -0.00399276
  38. price_ema100_diff : -0.00725551
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.635274
  42. kc_percentage : 1.08558
  43. kc_width_percentage : 0.0305328
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    103850
  47. 5m_price_ema100_diff: 
    -0.000736073
  48. 5m_price: 
    103773
  49. 5m_correlation_with_coin: 
    0.700292
  50. btc_indicators
  51. 15m_ema100: 
    104590
  52. 15m_price_ema100_diff: 
    -0.00780729
  53. 15m_price: 
    103773
  54. btc_indicators
  55. 1H_ema100: 
    106513
  56. 1H_price_ema100_diff: 
    -0.0257248
  57. 1H_price: 
    103773
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
31 May 2025
01:05:51		 31 May 2025
01:50:00		 44 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3459 0.3501 0.3396 1.5 0.04718
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 0.3459
  • Stop Loss: 0.3501
  • Take Profit: 0.3396

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3501 - 0.3459 = 0.0042

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3459 - 0.3396 = 0.0063

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0063 / 0.0042 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
658.0182 100 1902.3364 6.58
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 0.0042

Taille de position = 8 / 0.0042 = 1904.76

Taille de position USD = 1904.76 x 0.3459 = 658.86

Donc, tu peux acheter 1904.76 avec un stoploss a 0.3501

Avec un position size USD de 658.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1904.76 x 0.0042 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1904.76 x 0.0063 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 1904.76
  • Taille de position USD 658.86
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.82 % 11.98 $
SL % Target SL $ Target
1.21 % 7.99 $
PNL PNL %
11.98 $ 1.82
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3375
            [stop_loss] => 0.3501
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 03:30:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.3354
            [stop_loss] => 0.3501
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 03:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.3333
            [stop_loss] => 0.3501
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 03:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.3312
            [stop_loss] => 0.3501
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 03:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.3291
            [stop_loss] => 0.3501
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 03:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.327
            [stop_loss] => 0.3501
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 03:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.3249
            [stop_loss] => 0.3501
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 03:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.3228
            [stop_loss] => 0.3501
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-31 03:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.3207
            [stop_loss] => 0.3501
            [rr_ratio] => 6
            [closed_at] => 2025-05-31 03:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.3186
            [stop_loss] => 0.3501
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-31 03:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.3165
            [stop_loss] => 0.3501
            [rr_ratio] => 7
            [closed_at] => 2025-05-31 03:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0074
            [max_drawdown] => 0.0036
            [rr_ratio] => 2.06
            [high] => 0.34950000
            [low] => 0.33850000
            [mfe_pct] => 2.14
            [mae_pct] => 1.04
            [mfe_mae_ratio] => 2.06
            [candles_analyzed] => 24
            [start_at] => 2025-05-31T01:05:51-04:00
            [end_at] => 2025-05-31T03:05:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0074
            [max_drawdown] => 0.016
            [rr_ratio] => 0.46
            [high] => 0.36190000
            [low] => 0.33850000
            [mfe_pct] => 2.14
            [mae_pct] => 4.63
            [mfe_mae_ratio] => 0.46
            [candles_analyzed] => 72
            [start_at] => 2025-05-31T01:05:51-04:00
            [end_at] => 2025-05-31T07:05:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.34780000
            [high_after] => 0.36190000
            [low_before] => 0.32920000
            [low_after] => 0.33850000
            [is_new_high] => 
            [is_new_low] => 
        )

)