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Trade

sell - POPCAT

Status
loss
2025-06-05 09:00:57
4 minutes
PNL
-0.91
Entry: 0.3518
Last: 0.35500000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 0.4722
Prediction 1 Accuracy
Strong Trade
0.52
Prediction 2 Accuracy
0 0.63
ML Trade Score: -90
ML Pullback Score: 8.95

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.002150991702
Details
  1. score: 1
  2. 1H
  3. ema9 - 0.348507
  4. ema21 - 0.353842
  5. ema50 - 0.364472
  6. ema100 - 0.368016
  7. price_ema9_diff - 0.00944703
  8. ema9_ema21_diff - -0.0150774
  9. ema21_ema50_diff - -0.029166
  10. price_ema100_diff - -0.0440654
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.450155
  14. kc_percentage - 0.446888
  15. kc_width_percentage - 0.0828202
  16. volume_ema_diff - 0.394776
    17. ¸
  17. 15m
  18. ema9 - 0.347031
  19. ema21 - 0.34686
  20. ema50 - 0.349448
  21. ema100 - 0.354157
  22. price_ema9_diff - 0.0137396
  23. ema9_ema21_diff - 0.000494402
  24. ema21_ema50_diff - -0.00740587
  25. price_ema100_diff - -0.00665708
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.601427
  29. kc_percentage - 0.852628
  30. kc_width_percentage - 0.0403076
  31. volume_ema_diff - 0.634172
    32. ¸
  32. 5m
  33. ema9 - 0.349607
  34. ema21 - 0.347224
  35. ema50 - 0.346446
  36. ema100 - 0.347885
  37. price_ema9_diff - 0.00627102
  38. ema9_ema21_diff - 0.006862
  39. ema21_ema50_diff - 0.00224664
  40. price_ema100_diff - 0.011251
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.67205
  44. kc_percentage - 1.00003
  45. kc_width_percentage - 0.0253229
  46. volume_ema_diff - -0.00794276
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104882
  50. 5m_price_ema100_diff: 0.00805497
  51. 5m_price: 105726
  52. 5m_correlation_with_coin: 0.702756
  53. btc_indicators
  54. 15m_ema100: 104856
  55. 15m_price_ema100_diff: 0.00859361
  56. 15m_price: 105757
  57. btc_indicators
  58. 1H_ema100: 104907
  59. 1H_price_ema100_diff: -0.00411104
  60. 1H_price: 104476
    61. ¸

Short Trade on POPCAT

The 05 Jun 2025 at 09:00:57

With 2479.4765 POPCAT at 0.3518$ per unit.

Position size of 872.2798 $

Take profit at 0.347 (1.36 %) and Stop Loss at 0.355 (0.91 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 0.56 %

Symbol Start at Seach Score Trade Score Trades Count
IO 2025-05-28 18:00:55 0.8446 -35 2
ENA 2025-06-05 08:51:19 0.811 45 2
LTC 2025-05-28 17:54:27 0.8004 43.33 3
MOVE 2025-04-14 18:46:58 0.7975 10 2
SOL 2025-05-03 08:40:21 0.7945 -100 2
ELDE 2025-06-07 16:33:06 0.7926 40 1

📌 Time Data

Start at Closed at Duration
05 Jun 2025
09:00:57		 05 Jun 2025
09:05:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3518 0.355 0.347 1.5 0.3527
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 0.3518
  • Stop Loss: 0.355
  • Take Profit: 0.347

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.355 - 0.3518 = 0.0032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3518 - 0.347 = 0.0048

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0048 / 0.0032 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
872.2798 100 2479.4765 8.72
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 0.0032

Taille de position = 8 / 0.0032 = 2500

Taille de position USD = 2500 x 0.3518 = 879.5

Donc, tu peux acheter 2500 avec un stoploss a 0.355

Avec un position size USD de 879.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2500 x 0.0032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2500 x 0.0048 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2500
  • Taille de position USD 879.5
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.36 % 11.9 $
SL % Target SL $ Target
0.91 % 7.93 $
PNL PNL %
-7.93 $ -0.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3075611142695 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.347
            [entry_price] => 0.3518
            [stop_loss] => 0.35532
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-06-05 09:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.347
            [entry_price] => 0.3518
            [stop_loss] => 0.35564
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-06-05 09:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.347
            [entry_price] => 0.3518
            [stop_loss] => 0.35596
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-06-05 09:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.347
            [entry_price] => 0.3518
            [stop_loss] => 0.3566
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-06-05 09:35:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0194
            [max_drawdown] => 0.0046
            [rr_ratio] => 4.22
            [high] => 0.35640000
            [low] => 0.33240000
            [mfe_pct] => 5.51
            [mae_pct] => 1.31
            [mfe_mae_ratio] => 4.22
            [candles_analyzed] => 24
            [start_at] => 2025-06-05T09:00:57-04:00
            [end_at] => 2025-06-05T11:00:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0363
            [max_drawdown] => 0.0046
            [rr_ratio] => 7.89
            [high] => 0.35640000
            [low] => 0.31550000
            [mfe_pct] => 10.32
            [mae_pct] => 1.31
            [mfe_mae_ratio] => 7.89
            [candles_analyzed] => 72
            [start_at] => 2025-06-05T09:00:57-04:00
            [end_at] => 2025-06-05T15:00:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.35310000
            [high_after] => 0.35640000
            [low_before] => 0.33660000
            [low_after] => 0.31550000
            [is_new_high] => 
            [is_new_low] => 1
        )

)