Long Trade on PEPE 07 Jul 2025 at 02:58:36

Take profit at 1.009E-5 (0.7 %) and Stop Loss at 9.97E-6 (0.5 %)

Long Trade on PEPE

The 07 Jul 2025 at 02:58:36

With 166218318.9307 PEPE at 1.002E-5$ per unit.

Position size of 1665.5076 $

Take profit at 1.009E-5 (0.7 %) and Stop Loss at 9.97E-6 (0.5 %)

That's a 1.4 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 50
ML Pullback Score: 0.38
Prediction Score: 0.5214
Prediction 1 Probability
Strong Trade
0.56
Prediction 2 Probability
0 0.39
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.617899

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 3.208631496E-8
Details
  1. score: 2.14
  2. 1H
  3. ema9 : 1.00842E-5
  4. ema21 : 1.00149E-5
  5. ema50 : 9.91594E-6
  6. ema100 : 9.92221E-6
  7. price_ema9_diff : -0.0063696
  8. ema9_ema21_diff : 0.00692229
  9. ema21_ema50_diff : 0.00997989
  10. price_ema100_diff : 0.00985495
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.525128
  14. kc_percentage : 0.498092
  15. kc_width_percentage : 0.0538975
  16. volume_ema_diff : 0.0125064
  17. volume_ema1 : 15955066.416017
  18. volume_ema2 : 15757990.43865
  19. ¸
  20. 15m
  21. ema9 : 1.01226E-5
  22. ema21 : 1.01253E-5
  23. ema50 : 1.00847E-5
  24. ema100 : 9.99043E-6
  25. price_ema9_diff : -0.0101399
  26. ema9_ema21_diff : -0.000271768
  27. ema21_ema50_diff : 0.00403201
  28. price_ema100_diff : 0.00295903
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.473389
  32. kc_percentage : 0.00974427
  33. kc_width_percentage : 0.0215668
  34. volume_ema_diff : -0.298647
  35. volume_ema1 : 2472732.0379915
  36. volume_ema2 : 3525660.2190781
  37. ¸
  38. 5m
  39. ema9 : 1.00823E-5
  40. ema21 : 1.01051E-5
  41. ema50 : 1.01213E-5
  42. ema100 : 1.01289E-5
  43. price_ema9_diff : -0.00618349
  44. ema9_ema21_diff : -0.00225858
  45. ema21_ema50_diff : -0.00159691
  46. price_ema100_diff : -0.0107594
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.335233
  50. kc_percentage : -0.1367
  51. kc_width_percentage : 0.0131628
  52. volume_ema_diff : 1.7023
  53. volume_ema1 : 3794949.1493153
  54. volume_ema2 : 1404336.9788562
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    109132
  59. 5m_price_ema100_diff:
    -0.00365345
  60. 5m_price:
    108734
  61. 5m_correlation_with_coin:
    0.617899
  62. btc_indicators
  63. 15m_ema100:
    108763
  64. 15m_price_ema100_diff:
    0.000209774
  65. 15m_price:
    108786
  66. btc_indicators
  67. 1H_ema100:
    108521
  68. 1H_price_ema100_diff:
    0.00196228
  69. 1H_price:
    108734
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
07 Jul 2025
02:58:36
07 Jul 2025
03:40:00
41 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.002E-5 9.97E-6 1.009E-5 1.4 3.69E-6
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 1.002E-5
  • Stop Loss: 9.97E-6
  • Take Profit: 1.009E-5

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.97E-6 - 1.002E-5 = -5.0000000000001E-8

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.002E-5 - 1.009E-5 = -6.9999999999999E-8

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -6.9999999999999E-8 / -5.0000000000001E-8 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
1665.5076 100 166218318.9307 16.66
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 -5.0000000000001E-8

Taille de position = 8 / -5.0000000000001E-8 = -160000000

Taille de position USD = -160000000 x 1.002E-5 = -1603.2

Donc, tu peux acheter -160000000 avec un stoploss a 9.97E-6

Avec un position size USD de -1603.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -160000000 x -5.0000000000001E-8 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -160000000 x -6.9999999999999E-8 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position -160000000
  • Taille de position USD -1603.2
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
0.7 % 11.64 $
SL % Target SL $ Target
0.5 % 8.31 $
PNL PNL %
11.64 $ 0.70
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3992 % 80 % 4

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 1.012E-5
            [stop_loss] => 9.97E-6
            [rr_ratio] => 2
            [closed_at] => 2025-07-07 03:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.0145E-5
            [stop_loss] => 9.97E-6
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-07 04:40:00
            [result] => win
        )

    [3] => Array
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            [take_profit] => 1.017E-5
            [stop_loss] => 9.97E-6
            [rr_ratio] => 3
            [closed_at] => 2025-07-07 07:20:00
            [result] => loss
        )

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            [result] => loss
        )

    [4] => Array
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            [stop_loss] => 9.97E-6
            [rr_ratio] => 4
            [closed_at] => 2025-07-07 07:20:00
            [result] => loss
        )

    [4.5] => Array
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            [rr_ratio] => 4.5
            [closed_at] => 2025-07-07 07:20:00
            [result] => loss
        )

    [5] => Array
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            [take_profit] => 1.027E-5
            [stop_loss] => 9.97E-6
            [rr_ratio] => 5
            [closed_at] => 2025-07-07 07:20:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 1.0295E-5
            [stop_loss] => 9.97E-6
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-07 07:20:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.032E-5
            [stop_loss] => 9.97E-6
            [rr_ratio] => 6
            [closed_at] => 2025-07-07 07:20:00
            [result] => loss
        )

    [6.5] => Array
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            [take_profit] => 1.0345E-5
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            [rr_ratio] => 6.5
            [closed_at] => 2025-07-07 07:20:00
            [result] => loss
        )

    [7] => Array
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            [take_profit] => 1.037E-5
            [stop_loss] => 9.97E-6
            [rr_ratio] => 7
            [closed_at] => 2025-07-07 07:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
        (
            [max_gain] => 1.5E-7
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 0.15
            [high] => 0.00001017
            [low] => 0.00000998
            [mfe_pct] => 1.5
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 3.75
            [candles_analyzed] => 24
            [start_at] => 2025-07-07T02:58:36-04:00
            [end_at] => 2025-07-07T04:58:36-04:00
        )

    [long_term] => Array
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            [max_drawdown] => 1.0E-6
            [rr_ratio] => 0.15
            [high] => 0.00001017
            [low] => 0.00000987
            [mfe_pct] => 1.5
            [mae_pct] => 1.5
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 72
            [start_at] => 2025-07-07T02:58:36-04:00
            [end_at] => 2025-07-07T08:58:36-04:00
        )

    [breakout] => Array
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            [high_before] => 0.00001027
            [high_after] => 0.00001017
            [low_before] => 0.00000999
            [low_after] => 0.00000987
            [is_new_high] => 
            [is_new_low] => 
        )

)