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Short Trade on APE

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Short Trade on APE 09 Oct 2025 at 14:24:43

Take profit at 0.5548 (0.89 %) and Stop Loss at 0.5623 (0.45 %)

Short Trade on APE

The 09 Oct 2025 at 14:24:43

With 3195.8347 APE at 0.5598$ per unit.

Position size of 1789.0283 $

Take profit at 0.5548 (0.89 %) and Stop Loss at 0.5623 (0.45 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.1
Prediction Score: 5
Prediction 1 Probability
Strong Trade
0.76
Prediction 2 Probability
0 0.47
Prediction 3 Probability
1 0.58
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.722025

15m : 0.133425

1H : -0.049302

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.001668838919
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.557209
  4. ema21 : 0.560944
  5. ema50 : 0.563587
  6. ema100 : 0.565163
  7. price_ema9_diff : 0.00464861
  8. ema9_ema21_diff : -0.00665796
  9. ema21_ema50_diff : -0.00469049
  10. price_ema100_diff : -0.00949076
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.198622
  14. ema_slope_21 : -0.134625
  15. ema_slope_50 : -0.0599213
  16. ema_slope_100 : -0.0321334
  17. rsi : 0.478745
  18. adx : 0.252356
  19. kc_percentage : 0.463397
  20. kc_width_percentage : 0.045568
  21. volume_ema_diff : -0.0652093
  22. volume_ema1 : 385849.36924435
  23. volume_ema2 : 412765.53924691
  24. chop : 47.8378
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.555797
  28. ema21 : 0.555433
  29. ema50 : 0.558987
  30. ema100 : 0.564881
  31. price_ema9_diff : 0.00720104
  32. ema9_ema21_diff : 0.000656173
  33. ema21_ema50_diff : -0.00635862
  34. price_ema100_diff : -0.00899494
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0158595
  38. ema_slope_21 : -0.0267885
  39. ema_slope_50 : -0.0454181
  40. ema_slope_100 : -0.0440679
  41. rsi : 0.571343
  42. adx : 0.325597
  43. kc_percentage : 0.849354
  44. kc_width_percentage : 0.0226598
  45. volume_ema_diff : -0.0746147
  46. volume_ema1 : 109366.21310371
  47. volume_ema2 : 118184.52742
  48. chop : 49.5963
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.557585
  52. ema21 : 0.555636
  53. ema50 : 0.554917
  54. ema100 : 0.556017
  55. price_ema9_diff : 0.00397239
  56. ema9_ema21_diff : 0.00350671
  57. ema21_ema50_diff : 0.00129509
  58. price_ema100_diff : 0.00680275
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0800539
  62. ema_slope_21 : 0.0527639
  63. ema_slope_50 : 0.0186075
  64. ema_slope_100 : 0.00316511
  65. rsi : 0.661154
  66. adx : 0.256217
  67. kc_percentage : 1.13417
  68. kc_width_percentage : 0.0114382
  69. volume_ema_diff : 0.0581085
  70. volume_ema1 : 42546.276387714
  71. volume_ema2 : 40209.747101749
  72. chop : 44.3955
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    121389
  77. 5m_price_ema100_diff: 
    -0.0072265
  78. 5m_price: 
    120512
  79. 5m_correlation_with_coin: 
    0.722025
  80. btc_indicators
  81. 15m_ema100: 
    122124
  82. 15m_price_ema100_diff: 
    -0.0111408
  83. 15m_price: 
    120764
  84. 15m_correlation_with_coin: 
    0.133425
  85. btc_indicators
  86. 1H_ema100: 
    122605
  87. 1H_price_ema100_diff: 
    -0.0170718
  88. 1H_price: 
    120512
  89. 1H_correlation_with_coin: 
    -0.049302
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Oct 2025
14:24:43		 09 Oct 2025
18:35:00		 4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5598 0.5623 0.5548 2 0.1057
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 0.5598
  • Stop Loss: 0.5623
  • Take Profit: 0.5548

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5623 - 0.5598 = 0.0025000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5598 - 0.5548 = 0.005

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.005 / 0.0025000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1789.0283 100 3195.8347 17.89
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 0.0025000000000001

Taille de position = 8 / 0.0025000000000001 = 3200

Taille de position USD = 3200 x 0.5598 = 1791.36

Donc, tu peux acheter 3200 avec un stoploss a 0.5623

Avec un position size USD de 1791.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3200 x 0.0025000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3200 x 0.005 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 3200
  • Taille de position USD 1791.36
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.89 % 15.98 $
SL % Target SL $ Target
0.45 % 7.99 $
PNL PNL %
-7.99 $ -0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5002 % 112 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5548
            [entry_price] => 0.5598
            [stop_loss] => 0.56255
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-09 18:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5548
            [entry_price] => 0.5598
            [stop_loss] => 0.5628
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-09 18:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5548
            [entry_price] => 0.5598
            [stop_loss] => 0.56305
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-09 18:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5548
            [entry_price] => 0.5598
            [stop_loss] => 0.56355
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-09 18:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0034
            [max_drawdown] => 0.00070000000000003
            [rr_ratio] => 4.86
            [high] => 0.56050000
            [low] => 0.55640000
            [mfe_pct] => 0.61
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 4.86
            [candles_analyzed] => 24
            [start_at] => 2025-10-09T14:24:43-04:00
            [end_at] => 2025-10-09T16:24:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.004
            [max_drawdown] => 0.0112
            [rr_ratio] => 0.36
            [high] => 0.57100000
            [low] => 0.55580000
            [mfe_pct] => 0.71
            [mae_pct] => 2
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 84
            [start_at] => 2025-10-09T14:24:43-04:00
            [end_at] => 2025-10-09T21:24:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.56020000
            [high_after] => 0.56670000
            [low_before] => 0.54750000
            [low_after] => 0.55580000
            [is_new_high] => 
            [is_new_low] => 
        )

)