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Short Trade on APE

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Short Trade on APE 23 Sep 2025 at 02:47:49

Take profit at 0.5316 (0.67 %) and Stop Loss at 0.537 (0.34 %)

Short Trade on APE

The 23 Sep 2025 at 02:47:49

With 4402.3367 APE at 0.5352$ per unit.

Position size of 2356.1306 $

Take profit at 0.5316 (0.67 %) and Stop Loss at 0.537 (0.34 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.15
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.59
Prediction 3 Probability
0 0.65
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bull_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.692756

15m : 0.213352

1H : -0.031234

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.001211477833
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 0.530356
  4. ema21 : 0.535282
  5. ema50 : 0.553134
  6. ema100 : 0.569773
  7. price_ema9_diff : 0.00913237
  8. ema9_ema21_diff : -0.00920311
  9. ema21_ema50_diff : -0.0322734
  10. price_ema100_diff : -0.0606793
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0230506
  14. ema_slope_21 : -0.178136
  15. ema_slope_50 : -0.212416
  16. ema_slope_100 : -0.1564
  17. rsi : 0.456653
  18. adx : 0.647811
  19. kc_percentage : 0.521278
  20. kc_width_percentage : 0.0484905
  21. volume_ema_diff : -0.442206
  22. volume_ema1 : 269992.29420641
  23. volume_ema2 : 484036.29421847
  24. chop : 64.6403
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.532495
  28. ema21 : 0.530781
  29. ema50 : 0.530212
  30. ema100 : 0.530955
  31. price_ema9_diff : 0.00507853
  32. ema9_ema21_diff : 0.00323036
  33. ema21_ema50_diff : 0.00107246
  34. price_ema100_diff : 0.00799377
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : True
  37. ema_slope_9 : 0.0683344
  38. ema_slope_21 : 0.032232
  39. ema_slope_50 : 0.00990601
  40. ema_slope_100 : 0.000415556
  41. rsi : 0.624729
  42. adx : 0.173193
  43. kc_percentage : 0.957369
  44. kc_width_percentage : 0.0177572
  45. volume_ema_diff : -0.666072
  46. volume_ema1 : 63475.553668358
  47. volume_ema2 : 190087.73637891
  48. chop : 44.9159
  49. regime : bull_medium
    50. ¸
  50. 5m
  51. ema9 : 0.534267
  52. ema21 : 0.532373
  53. ema50 : 0.530645
  54. ema100 : 0.53021
  55. price_ema9_diff : 0.00174535
  56. ema9_ema21_diff : 0.00355809
  57. ema21_ema50_diff : 0.00325549
  58. price_ema100_diff : 0.00941078
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0668798
  62. ema_slope_21 : 0.0509671
  63. ema_slope_50 : 0.0279099
  64. ema_slope_100 : 0.0135439
  65. rsi : 0.658319
  66. adx : 0.316832
  67. kc_percentage : 1.07318
  68. kc_width_percentage : 0.00883138
  69. volume_ema_diff : 0.052565
  70. volume_ema1 : 24073.398811061
  71. volume_ema2 : 22871.173775376
  72. chop : 35.7561
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112464
  77. 5m_price_ema100_diff: 
    0.00299197
  78. 5m_price: 
    112800
  79. 5m_correlation_with_coin: 
    0.692756
  80. btc_indicators
  81. 15m_ema100: 
    112561
  82. 15m_price_ema100_diff: 
    0.00212923
  83. 15m_price: 
    112800
  84. 15m_correlation_with_coin: 
    0.213352
  85. btc_indicators
  86. 1H_ema100: 
    114501
  87. 1H_price_ema100_diff: 
    -0.0148554
  88. 1H_price: 
    112800
  89. 1H_correlation_with_coin: 
    -0.031234
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
23 Sep 2025
02:47:49		 23 Sep 2025
02:50:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5352 0.537 0.5316 2 0.1018
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 0.5352
  • Stop Loss: 0.537
  • Take Profit: 0.5316

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.537 - 0.5352 = 0.0018

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5352 - 0.5316 = 0.0036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0036 / 0.0018 = 2

📌 Position Size

Amount Margin Quantity Leverage
2356.1306 100 4402.3367 23.56
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 0.0018

Taille de position = 8 / 0.0018 = 4444.44

Taille de position USD = 4444.44 x 0.5352 = 2378.66

Donc, tu peux acheter 4444.44 avec un stoploss a 0.537

Avec un position size USD de 2378.66$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4444.44 x 0.0018 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4444.44 x 0.0036 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4444.44
  • Taille de position USD 2378.66
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.67 % 15.85 $
SL % Target SL $ Target
0.34 % 7.92 $
PNL PNL %
-7.92 $ -0.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4297 % 127.77 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5316
            [entry_price] => 0.5352
            [stop_loss] => 0.53718
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-23 02:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5316
            [entry_price] => 0.5352
            [stop_loss] => 0.53736
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-23 02:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5316
            [entry_price] => 0.5352
            [stop_loss] => 0.53754
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-23 02:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5316
            [entry_price] => 0.5352
            [stop_loss] => 0.5379
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-23 02:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0011
            [max_drawdown] => 0.0059
            [rr_ratio] => -0.19
            [high] => 0.54110000
            [low] => 0.53630000
            [mfe_pct] => -0.21
            [mae_pct] => 1.1
            [mfe_mae_ratio] => -0.19
            [candles_analyzed] => 24
            [start_at] => 2025-09-23T02:47:49-04:00
            [end_at] => 2025-09-23T04:47:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.0082
            [rr_ratio] => 0
            [high] => 0.54340000
            [low] => 0.53520000
            [mfe_pct] => 0
            [mae_pct] => 1.53
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 84
            [start_at] => 2025-09-23T02:47:49-04:00
            [end_at] => 2025-09-23T09:47:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.53730000
            [high_after] => 0.54200000
            [low_before] => 0.52080000
            [low_after] => 0.53520000
            [is_new_high] => 
            [is_new_low] => 
        )

)