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Short Trade on APE

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Short Trade on APE 04 Sep 2025 at 18:48:04

Take profit at 0.563 (0.35 %) and Stop Loss at 0.566 (0.18 %)

Short Trade on APE

The 04 Sep 2025 at 18:48:04

With 8169.7667 APE at 0.565$ per unit.

Position size of 4615.9182 $

Take profit at 0.563 (0.35 %) and Stop Loss at 0.566 (0.18 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.11
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.76
Prediction 2 Probability
0 0.67
Prediction 3 Probability
0 0.73
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : bull_low

1H_regime : range_medium

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.553787

15m : -0.03597

1H : 0.105158

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0006528134174
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.562545
  4. ema21 : 0.565148
  5. ema50 : 0.567788
  6. ema100 : 0.567953
  7. price_ema9_diff : 0.00436349
  8. ema9_ema21_diff : -0.00460675
  9. ema21_ema50_diff : -0.00464867
  10. price_ema100_diff : -0.00520084
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0899112
  14. ema_slope_21 : -0.093427
  15. ema_slope_50 : -0.0491101
  16. ema_slope_100 : -0.0220015
  17. rsi : 0.47839
  18. adx : 0.197781
  19. kc_percentage : 0.503756
  20. kc_width_percentage : 0.0272543
  21. volume_ema_diff : -0.373356
  22. volume_ema1 : 219909.52562729
  23. volume_ema2 : 350932.38164043
  24. regime : range_medium
    25. ¸
  25. 15m
  26. ema9 : 0.563616
  27. ema21 : 0.562418
  28. ema50 : 0.563398
  29. ema100 : 0.566622
  30. price_ema9_diff : 0.00245548
  31. ema9_ema21_diff : 0.00212882
  32. ema21_ema50_diff : -0.00173936
  33. price_ema100_diff : -0.00286424
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0640285
  37. ema_slope_21 : 0.0247259
  38. ema_slope_50 : -0.0051864
  39. ema_slope_100 : -0.0156456
  40. rsi : 0.609687
  41. adx : 0.238446
  42. kc_percentage : 0.941738
  43. kc_width_percentage : 0.0102188
  44. volume_ema_diff : -0.218288
  45. volume_ema1 : 52458.879143381
  46. volume_ema2 : 67107.685787952
  47. regime : range_low
    48. ¸
  48. 5m
  49. ema9 : 0.564818
  50. ema21 : 0.563649
  51. ema50 : 0.562245
  52. ema100 : 0.561888
  53. price_ema9_diff : 0.000320893
  54. ema9_ema21_diff : 0.00207469
  55. ema21_ema50_diff : 0.00249647
  56. price_ema100_diff : 0.00553799
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0490704
  60. ema_slope_21 : 0.0403184
  61. ema_slope_50 : 0.0236384
  62. ema_slope_100 : 0.0116876
  63. rsi : 0.64863
  64. adx : 0.319786
  65. kc_percentage : 1.0062
  66. kc_width_percentage : 0.00442201
  67. volume_ema_diff : 0.154578
  68. volume_ema1 : 21785.877309566
  69. volume_ema2 : 18869.118350326
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110122
  74. 5m_price_ema100_diff: 
    0.00559533
  75. 5m_price: 
    110738
  76. 5m_correlation_with_coin: 
    0.553787
  77. btc_indicators
  78. 15m_ema100: 
    110619
  79. 15m_price_ema100_diff: 
    0.00107813
  80. 15m_price: 
    110738
  81. 15m_correlation_with_coin: 
    -0.03597
  82. btc_indicators
  83. 1H_ema100: 
    110320
  84. 1H_price_ema100_diff: 
    0.00343264
  85. 1H_price: 
    110698
  86. 1H_correlation_with_coin: 
    0.105158
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
18:48:04		 04 Sep 2025
18:55:00		 6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.565 0.566 0.563 2 0.0942
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 0.565
  • Stop Loss: 0.566
  • Take Profit: 0.563

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.566 - 0.565 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.565 - 0.563 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.001 = 2

📌 Position Size

Amount Margin Quantity Leverage
4615.9182 100 8169.7667 46.16
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.565 = 4520

Donc, tu peux acheter 8000 avec un stoploss a 0.566

Avec un position size USD de 4520$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8000
  • Taille de position USD 4520
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.35 % 16.34 $
SL % Target SL $ Target
0.18 % 8.17 $
PNL PNL %
-8.17 $ -0.18
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.531 % 300 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.563
            [entry_price] => 0.565
            [stop_loss] => 0.5661
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.563
            [entry_price] => 0.565
            [stop_loss] => 0.5662
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.563
            [entry_price] => 0.565
            [stop_loss] => 0.5663
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.563
            [entry_price] => 0.565
            [stop_loss] => 0.5665
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0029999999999999
            [max_drawdown] => 0.003
            [rr_ratio] => 1
            [high] => 0.56800000
            [low] => 0.56200000
            [mfe_pct] => 0.53
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T18:48:04-04:00
            [end_at] => 2025-09-04T20:48:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0029999999999999
            [max_drawdown] => 0.0058
            [rr_ratio] => 0.52
            [high] => 0.57080000
            [low] => 0.56200000
            [mfe_pct] => 0.53
            [mae_pct] => 1.03
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T18:48:04-04:00
            [end_at] => 2025-09-05T01:48:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.56580000
            [high_after] => 0.56860000
            [low_before] => 0.55710000
            [low_after] => 0.56200000
            [is_new_high] => 
            [is_new_low] => 
        )

)