Short Trade on APE 15 Sep 2025 at 17:37:39

Take profit at 0.5762 (0.41 %) and Stop Loss at 0.5798 (0.21 %)

Short Trade on APE

The 15 Sep 2025 at 17:37:39

With 6675.2493 APE at 0.5786$ per unit.

Position size of 3862.2992 $

Take profit at 0.5762 (0.41 %) and Stop Loss at 0.5798 (0.21 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.91
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.67
Prediction 2 Probability
0 0.55
Prediction 3 Probability
0 0.69
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.738765

15m : -0.028406

1H : 0.081441

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0007989714134
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 0.577595
  4. ema21 : 0.584395
  5. ema50 : 0.596528
  6. ema100 : 0.60384
  7. price_ema9_diff : 0.00173959
  8. ema9_ema21_diff : -0.0116357
  9. ema21_ema50_diff : -0.0203393
  10. price_ema100_diff : -0.0417992
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.232738
  14. ema_slope_21 : -0.23323
  15. ema_slope_50 : -0.167021
  16. ema_slope_100 : -0.099933
  17. rsi : 0.369205
  18. adx : 0.645613
  19. kc_percentage : 0.244044
  20. kc_width_percentage : 0.0352088
  21. volume_ema_diff : -0.543265
  22. volume_ema1 : 274787.91067652
  23. volume_ema2 : 601635.48863424
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.576623
  28. ema21 : 0.575858
  29. ema50 : 0.579155
  30. ema100 : 0.585644
  31. price_ema9_diff : 0.0034275
  32. ema9_ema21_diff : 0.00132926
  33. ema21_ema50_diff : -0.00569278
  34. price_ema100_diff : -0.0120286
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0485222
  38. ema_slope_21 : 0.0113216
  39. ema_slope_50 : -0.0285618
  40. ema_slope_100 : -0.0377697
  41. rsi : 0.576
  42. adx : 0.304195
  43. kc_percentage : 0.854329
  44. kc_width_percentage : 0.0134631
  45. volume_ema_diff : -0.555003
  46. volume_ema1 : 53652.355278352
  47. volume_ema2 : 120568.0801782
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.577865
  52. ema21 : 0.576841
  53. ema50 : 0.57568
  54. ema100 : 0.575535
  55. price_ema9_diff : 0.00127126
  56. ema9_ema21_diff : 0.00177532
  57. ema21_ema50_diff : 0.00201587
  58. price_ema100_diff : 0.00532389
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0390642
  62. ema_slope_21 : 0.0307246
  63. ema_slope_50 : 0.018178
  64. ema_slope_100 : 0.00839037
  65. rsi : 0.656426
  66. adx : 0.204134
  67. kc_percentage : 1.09704
  68. kc_width_percentage : 0.00488517
  69. volume_ema_diff : -0.662277
  70. volume_ema1 : 8272.2165616146
  71. volume_ema2 : 24494.124082766
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115028
  77. 5m_price_ema100_diff:
    0.00260782
  78. 5m_price:
    115328
  79. 5m_correlation_with_coin:
    0.738765
  80. btc_indicators
  81. 15m_ema100:
    115219
  82. 15m_price_ema100_diff:
    0.00098607
  83. 15m_price:
    115332
  84. 15m_correlation_with_coin:
    -0.028406
  85. btc_indicators
  86. 1H_ema100:
    115278
  87. 1H_price_ema100_diff:
    0.000433855
  88. 1H_price:
    115328
  89. 1H_correlation_with_coin:
    0.081441
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
17:37:39
15 Sep 2025
17:55:00
17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5786 0.5798 0.5762 2 0.1095
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 0.5786
  • Stop Loss: 0.5798
  • Take Profit: 0.5762

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5798 - 0.5786 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5786 - 0.5762 = 0.0024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0024 / 0.0012 = 2

📌 Position Size

Amount Margin Quantity Leverage
3862.2992 100 6675.2493 38.62
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.5786 = 3857.34

Donc, tu peux acheter 6666.67 avec un stoploss a 0.5798

Avec un position size USD de 3857.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0024 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 3857.34
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.41 % 16.02 $
SL % Target SL $ Target
0.21 % 8.01 $
PNL PNL %
-8.01 $ -0.21
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2247 % 108.34 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5762
            [entry_price] => 0.5786
            [stop_loss] => 0.57992
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 18:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5762
            [entry_price] => 0.5786
            [stop_loss] => 0.58004
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 18:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5762
            [entry_price] => 0.5786
            [stop_loss] => 0.58016
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 18:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5762
            [entry_price] => 0.5786
            [stop_loss] => 0.5804
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 18:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0016
            [max_drawdown] => 0.003
            [rr_ratio] => 0.53
            [high] => 0.58160000
            [low] => 0.57700000
            [mfe_pct] => 0.28
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 0.53
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T17:37:39-04:00
            [end_at] => 2025-09-15T19:37:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0074
            [max_drawdown] => 0.003
            [rr_ratio] => 2.47
            [high] => 0.58160000
            [low] => 0.57120000
            [mfe_pct] => 1.28
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 2.47
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T17:37:39-04:00
            [end_at] => 2025-09-16T00:37:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.57860000
            [high_after] => 0.58160000
            [low_before] => 0.57190000
            [low_after] => 0.57490000
            [is_new_high] => 
            [is_new_low] => 
        )

)