Short Trade on APE 17 Sep 2025 at 12:57:15

Take profit at 0.578 (0.53 %) and Stop Loss at 0.5827 (0.28 %)

Short Trade on APE

The 17 Sep 2025 at 12:57:15

With 5084.1207 APE at 0.5811$ per unit.

Position size of 2954.3826 $

Take profit at 0.578 (0.53 %) and Stop Loss at 0.5827 (0.28 %)

That's a 1.94 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.29
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
0 0.78
Prediction 3 Probability
0 0.71
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_medium

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.559525

15m : 0.001042

1H : 0.129867

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.001049017836
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.579775
  4. ema21 : 0.581355
  5. ema50 : 0.584757
  6. ema100 : 0.593001
  7. price_ema9_diff : 0.00228426
  8. ema9_ema21_diff : -0.00271797
  9. ema21_ema50_diff : -0.00581727
  10. price_ema100_diff : -0.0200694
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0787791
  14. ema_slope_21 : -0.0513537
  15. ema_slope_50 : -0.0425779
  16. ema_slope_100 : -0.0493705
  17. rsi : 0.484185
  18. adx : 0.152822
  19. kc_percentage : 0.489931
  20. kc_width_percentage : 0.0276593
  21. volume_ema_diff : -0.305674
  22. volume_ema1 : 270897.42909971
  23. volume_ema2 : 390158.91220491
  24. regime : bear_medium
  25. ¸
  26. 15m
  27. ema9 : 0.578383
  28. ema21 : 0.578717
  29. ema50 : 0.580214
  30. ema100 : 0.582091
  31. price_ema9_diff : 0.00469753
  32. ema9_ema21_diff : -0.000577597
  33. ema21_ema50_diff : -0.00258027
  34. price_ema100_diff : -0.0017041
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0199553
  38. ema_slope_21 : -0.0167327
  39. ema_slope_50 : -0.0180003
  40. ema_slope_100 : -0.0151417
  41. rsi : 0.52893
  42. adx : 0.21851
  43. kc_percentage : 0.833856
  44. kc_width_percentage : 0.0124945
  45. volume_ema_diff : -0.0146864
  46. volume_ema1 : 61811.509973217
  47. volume_ema2 : 62732.83485643
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 0.579212
  52. ema21 : 0.578416
  53. ema50 : 0.578538
  54. ema100 : 0.578832
  55. price_ema9_diff : 0.00325888
  56. ema9_ema21_diff : 0.00137548
  57. ema21_ema50_diff : -0.000210437
  58. price_ema100_diff : 0.00391699
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0235777
  62. ema_slope_21 : 0.00380206
  63. ema_slope_50 : -0.00339702
  64. ema_slope_100 : -0.00319208
  65. rsi : 0.642629
  66. adx : 0.305615
  67. kc_percentage : 1.13361
  68. kc_width_percentage : 0.00724065
  69. volume_ema_diff : 0.605835
  70. volume_ema1 : 37281.43181912
  71. volume_ema2 : 23216.223069799
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    116028
  77. 5m_price_ema100_diff:
    -0.00364891
  78. 5m_price:
    115604
  79. 5m_correlation_with_coin:
    0.559525
  80. btc_indicators
  81. 15m_ema100:
    116234
  82. 15m_price_ema100_diff:
    -0.00607672
  83. 15m_price:
    115528
  84. 15m_correlation_with_coin:
    0.001042
  85. btc_indicators
  86. 1H_ema100:
    115847
  87. 1H_price_ema100_diff:
    -0.00209627
  88. 1H_price:
    115604
  89. 1H_correlation_with_coin:
    0.129867
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Sep 2025
12:57:15
17 Sep 2025
13:35:00
37 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5811 0.5827 0.578 1.94 0.105
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 0.5811
  • Stop Loss: 0.5827
  • Take Profit: 0.578

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5827 - 0.5811 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5811 - 0.578 = 0.0031

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0031 / 0.0016 = 1.9375

📌 Position Size

Amount Margin Quantity Leverage
2954.3826 100 5084.1207 29.54
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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.5811 = 2905.5

Donc, tu peux acheter 5000 avec un stoploss a 0.5827

Avec un position size USD de 2905.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0031 = 15.5

Si Take Profit atteint, tu gagneras 15.5$

Résumé

  • Taille de position 5000
  • Taille de position USD 2905.5
  • Perte potentielle 8
  • Gain potentiel 15.5
  • Risk-Reward Ratio 1.9375

📌 Peformances

TP % Target TP $ Target
0.53 % 15.76 $
SL % Target SL $ Target
0.28 % 8.13 $
PNL PNL %
-8.13 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2753 % 100 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.578
            [entry_price] => 0.5811
            [stop_loss] => 0.58286
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 13:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.578
            [entry_price] => 0.5811
            [stop_loss] => 0.58302
            [rr_ratio] => 1.61
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 13:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.578
            [entry_price] => 0.5811
            [stop_loss] => 0.58318
            [rr_ratio] => 1.49
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 13:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.578
            [entry_price] => 0.5811
            [stop_loss] => 0.5835
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 13:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0023
            [max_drawdown] => 0.0077
            [rr_ratio] => 0.3
            [high] => 0.58880000
            [low] => 0.57880000
            [mfe_pct] => 0.4
            [mae_pct] => 1.33
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2025-09-17T12:57:15-04:00
            [end_at] => 2025-09-17T14:57:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0023
            [max_drawdown] => 0.0256
            [rr_ratio] => 0.09
            [high] => 0.60670000
            [low] => 0.57880000
            [mfe_pct] => 0.4
            [mae_pct] => 4.41
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 84
            [start_at] => 2025-09-17T12:57:15-04:00
            [end_at] => 2025-09-17T19:57:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.58180000
            [high_after] => 0.60580000
            [low_before] => 0.57430000
            [low_after] => 0.57880000
            [is_new_high] => 
            [is_new_low] => 
        )

)