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Short Trade on APE

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Short Trade on APE 22 Sep 2025 at 16:58:56

Take profit at 0.5256 (0.77 %) and Stop Loss at 0.5317 (0.38 %)

Short Trade on APE

The 22 Sep 2025 at 16:58:56

With 3926.0379 APE at 0.5297$ per unit.

Position size of 2079.6223 $

Take profit at 0.5256 (0.77 %) and Stop Loss at 0.5317 (0.38 %)

That's a 2.05 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.11
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
0 0.63
Prediction 3 Probability
1 0.68
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.578947

15m : 0.020316

1H : -0.046684

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.001358451815
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 0.529829
  4. ema21 : 0.543342
  5. ema50 : 0.564634
  6. ema100 : 0.579958
  7. price_ema9_diff : -0.000244799
  8. ema9_ema21_diff : -0.0248693
  9. ema21_ema50_diff : -0.0377097
  10. price_ema100_diff : -0.0866591
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.423503
  14. ema_slope_21 : -0.444322
  15. ema_slope_50 : -0.305715
  16. ema_slope_100 : -0.19026
  17. rsi : 0.292319
  18. adx : 0.723474
  19. kc_percentage : 0.0365833
  20. kc_width_percentage : 0.0511329
  21. volume_ema_diff : -0.397789
  22. volume_ema1 : 342388.92445184
  23. volume_ema2 : 568553.65776958
  24. chop : 59.2754
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.525924
  28. ema21 : 0.526734
  29. ema50 : 0.533633
  30. ema100 : 0.547138
  31. price_ema9_diff : 0.0071791
  32. ema9_ema21_diff : -0.00153867
  33. ema21_ema50_diff : -0.0129275
  34. price_ema100_diff : -0.0318723
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0096521
  38. ema_slope_21 : -0.0412939
  39. ema_slope_50 : -0.07836
  40. ema_slope_100 : -0.0888941
  41. rsi : 0.510213
  42. adx : 0.431921
  43. kc_percentage : 0.802442
  44. kc_width_percentage : 0.0193781
  45. volume_ema_diff : -0.441463
  46. volume_ema1 : 67396.881005784
  47. volume_ema2 : 120666.96215167
  48. chop : 53.8674
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.527607
  52. ema21 : 0.526199
  53. ema50 : 0.526208
  54. ema100 : 0.527768
  55. price_ema9_diff : 0.00396511
  56. ema9_ema21_diff : 0.00267759
  57. ema21_ema50_diff : -1.82125E-5
  58. price_ema100_diff : 0.00366057
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0751535
  62. ema_slope_21 : 0.0330929
  63. ema_slope_50 : 0.00540791
  64. ema_slope_100 : -0.00496854
  65. rsi : 0.717713
  66. adx : 0.283813
  67. kc_percentage : 1.145
  68. kc_width_percentage : 0.0100852
  69. volume_ema_diff : -0.254211
  70. volume_ema1 : 20408.546316113
  71. volume_ema2 : 27365.062166384
  72. chop : 29.3285
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112506
  77. 5m_price_ema100_diff: 
    0.0023984
  78. 5m_price: 
    112776
  79. 5m_correlation_with_coin: 
    0.578947
  80. btc_indicators
  81. 15m_ema100: 
    113306
  82. 15m_price_ema100_diff: 
    -0.00635826
  83. 15m_price: 
    112586
  84. 15m_correlation_with_coin: 
    0.020316
  85. btc_indicators
  86. 1H_ema100: 
    115050
  87. 1H_price_ema100_diff: 
    -0.019768
  88. 1H_price: 
    112776
  89. 1H_correlation_with_coin: 
    -0.046684
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:58:56		 22 Sep 2025
17:20:00		 21 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5297 0.5317 0.5256 2.05 0.0969
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 0.5297
  • Stop Loss: 0.5317
  • Take Profit: 0.5256

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5317 - 0.5297 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5297 - 0.5256 = 0.0041

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0041 / 0.002 = 2.05

📌 Position Size

Amount Margin Quantity Leverage
2079.6223 100 3926.0379 20.80
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.5297 = 2118.8

Donc, tu peux acheter 4000 avec un stoploss a 0.5317

Avec un position size USD de 2118.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.0041 = 16.4

Si Take Profit atteint, tu gagneras 16.4$

Résumé

  • Taille de position 4000
  • Taille de position USD 2118.8
  • Perte potentielle 8
  • Gain potentiel 16.4
  • Risk-Reward Ratio 2.05

📌 Peformances

TP % Target TP $ Target
0.77 % 16.1 $
SL % Target SL $ Target
0.38 % 7.85 $
PNL PNL %
-7.85 $ -0.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4531 % 119.99 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5256
            [entry_price] => 0.5297
            [stop_loss] => 0.5319
            [rr_ratio] => 1.86
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5256
            [entry_price] => 0.5297
            [stop_loss] => 0.5321
            [rr_ratio] => 1.71
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5256
            [entry_price] => 0.5297
            [stop_loss] => 0.5323
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5256
            [entry_price] => 0.5297
            [stop_loss] => 0.5327
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0014
            [max_drawdown] => 0.005
            [rr_ratio] => 0.28
            [high] => 0.53470000
            [low] => 0.52830000
            [mfe_pct] => 0.26
            [mae_pct] => 0.94
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:58:56-04:00
            [end_at] => 2025-09-22T18:58:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0088999999999999
            [max_drawdown] => 0.006
            [rr_ratio] => 1.48
            [high] => 0.53570000
            [low] => 0.52080000
            [mfe_pct] => 1.68
            [mae_pct] => 1.13
            [mfe_mae_ratio] => 1.48
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:58:56-04:00
            [end_at] => 2025-09-22T23:58:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.52980000
            [high_after] => 0.53570000
            [low_before] => 0.52000000
            [low_after] => 0.52320000
            [is_new_high] => 
            [is_new_low] => 
        )

)