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Short Trade on APE

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Short Trade on APE 22 Sep 2025 at 16:40:09

Take profit at 0.5245 (0.76 %) and Stop Loss at 0.5305 (0.38 %)

Short Trade on APE

The 22 Sep 2025 at 16:40:09

With 3962.361 APE at 0.5285$ per unit.

Position size of 2094.1078 $

Take profit at 0.5245 (0.76 %) and Stop Loss at 0.5305 (0.38 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.72
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
0 0.86
Prediction 3 Probability
0 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 : 0.564143

15m : -0.022356

1H : 0.095609

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.001345998848
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 0.529589
  4. ema21 : 0.543233
  5. ema50 : 0.564587
  6. ema100 : 0.579934
  7. price_ema9_diff : -0.00205763
  8. ema9_ema21_diff : -0.0251152
  9. ema21_ema50_diff : -0.0378228
  10. price_ema100_diff : -0.0886909
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.427086
  14. ema_slope_21 : -0.445906
  15. ema_slope_50 : -0.306384
  16. ema_slope_100 : -0.190594
  17. rsi : 0.275219
  18. adx : 0.726097
  19. kc_percentage : -0.0110492
  20. kc_width_percentage : 0.0504921
  21. volume_ema_diff : -0.451292
  22. volume_ema1 : 309870.35915662
  23. volume_ema2 : 564727.94420543
  24. chop : 59.2502
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.52534
  28. ema21 : 0.52658
  29. ema50 : 0.533891
  30. ema100 : 0.547809
  31. price_ema9_diff : 0.00601434
  32. ema9_ema21_diff : -0.00235454
  33. ema21_ema50_diff : -0.013694
  34. price_ema100_diff : -0.035248
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0206073
  38. ema_slope_21 : -0.0488336
  39. ema_slope_50 : -0.0832345
  40. ema_slope_100 : -0.092391
  41. rsi : 0.519614
  42. adx : 0.468921
  43. kc_percentage : 0.698966
  44. kc_width_percentage : 0.0197973
  45. volume_ema_diff : -0.504102
  46. volume_ema1 : 59945.482681659
  47. volume_ema2 : 120882.77850726
  48. chop : 58.045
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.526244
  52. ema21 : 0.525279
  53. ema50 : 0.525878
  54. ema100 : 0.527837
  55. price_ema9_diff : 0.00428696
  56. ema9_ema21_diff : 0.00183675
  57. ema21_ema50_diff : -0.00114029
  58. price_ema100_diff : 0.00125577
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0377993
  62. ema_slope_21 : 0.00651418
  63. ema_slope_50 : -0.00846137
  64. ema_slope_100 : -0.012803
  65. rsi : 0.696741
  66. adx : 0.292533
  67. kc_percentage : 1.10741
  68. kc_width_percentage : 0.00996933
  69. volume_ema_diff : -0.441866
  70. volume_ema1 : 15012.707328919
  71. volume_ema2 : 26898.068650803
  72. chop : 30.8597
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112494
  77. 5m_price_ema100_diff: 
    0.000378637
  78. 5m_price: 
    112536
  79. 5m_correlation_with_coin: 
    0.564143
  80. btc_indicators
  81. 15m_ema100: 
    113332
  82. 15m_price_ema100_diff: 
    -0.00701843
  83. 15m_price: 
    112537
  84. 15m_correlation_with_coin: 
    -0.022356
  85. btc_indicators
  86. 1H_ema100: 
    115046
  87. 1H_price_ema100_diff: 
    -0.0218136
  88. 1H_price: 
    112536
  89. 1H_correlation_with_coin: 
    0.095609
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:40:09		 22 Sep 2025
17:10:00		 29 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5285 0.5305 0.5245 2 0.1038
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 0.5285
  • Stop Loss: 0.5305
  • Take Profit: 0.5245

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5305 - 0.5285 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5285 - 0.5245 = 0.004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.004 / 0.002 = 2

📌 Position Size

Amount Margin Quantity Leverage
2094.1078 100 3962.361 20.94
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 0.5285 = 2114

Donc, tu peux acheter 4000 avec un stoploss a 0.5305

Avec un position size USD de 2114$

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 0.004 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4000
  • Taille de position USD 2114
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.76 % 15.85 $
SL % Target SL $ Target
0.38 % 7.92 $
PNL PNL %
-7.92 $ -0.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3974 % 105.02 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5245
            [entry_price] => 0.5285
            [stop_loss] => 0.5307
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5245
            [entry_price] => 0.5285
            [stop_loss] => 0.5309
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5245
            [entry_price] => 0.5285
            [stop_loss] => 0.5311
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5245
            [entry_price] => 0.5285
            [stop_loss] => 0.5315
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00059999999999993
            [max_drawdown] => 0.0062
            [rr_ratio] => 0.1
            [high] => 0.53470000
            [low] => 0.52790000
            [mfe_pct] => 0.11
            [mae_pct] => 1.17
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:40:09-04:00
            [end_at] => 2025-09-22T18:40:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0076999999999999
            [max_drawdown] => 0.0072
            [rr_ratio] => 1.07
            [high] => 0.53570000
            [low] => 0.52080000
            [mfe_pct] => 1.46
            [mae_pct] => 1.36
            [mfe_mae_ratio] => 1.07
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:40:09-04:00
            [end_at] => 2025-09-22T23:40:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.52920000
            [high_after] => 0.53570000
            [low_before] => 0.52000000
            [low_after] => 0.52480000
            [is_new_high] => 
            [is_new_low] => 
        )

)