Short Trade on APE 15 Sep 2025 at 16:53:32

Take profit at 0.5747 (0.55 %) and Stop Loss at 0.5795 (0.28 %)

Short Trade on APE

The 15 Sep 2025 at 16:53:32

With 4958.8471 APE at 0.5779$ per unit.

Position size of 2865.7177 $

Take profit at 0.5747 (0.55 %) and Stop Loss at 0.5795 (0.28 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.78
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.51
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.742218

15m : 0.168426

1H : 0.210079

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.001075518817
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 0.577384
  4. ema21 : 0.584992
  5. ema50 : 0.597279
  6. ema100 : 0.604436
  7. price_ema9_diff : 0.000893645
  8. ema9_ema21_diff : -0.0130066
  9. ema21_ema50_diff : -0.0205703
  10. price_ema100_diff : -0.0439033
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.274658
  14. ema_slope_21 : -0.24985
  15. ema_slope_50 : -0.171233
  16. ema_slope_100 : -0.100962
  17. rsi : 0.356907
  18. adx : 0.651932
  19. kc_percentage : 0.201917
  20. kc_width_percentage : 0.0376301
  21. volume_ema_diff : -0.414743
  22. volume_ema1 : 363006.7893106
  23. volume_ema2 : 620252.36606904
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.575016
  28. ema21 : 0.575043
  29. ema50 : 0.579295
  30. ema100 : 0.586339
  31. price_ema9_diff : 0.00501527
  32. ema9_ema21_diff : -4.8364E-5
  33. ema21_ema50_diff : -0.0073393
  34. price_ema100_diff : -0.0143939
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0195052
  38. ema_slope_21 : -0.0109564
  39. ema_slope_50 : -0.0423585
  40. ema_slope_100 : -0.0456982
  41. rsi : 0.532958
  42. adx : 0.311006
  43. kc_percentage : 0.832366
  44. kc_width_percentage : 0.0152434
  45. volume_ema_diff : -0.564996
  46. volume_ema1 : 53854.031084766
  47. volume_ema2 : 123801.39569496
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 0.576044
  52. ema21 : 0.575256
  53. ema50 : 0.574754
  54. ema100 : 0.575434
  55. price_ema9_diff : 0.00322161
  56. ema9_ema21_diff : 0.00136903
  57. ema21_ema50_diff : 0.000874001
  58. price_ema100_diff : 0.00428427
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0222699
  62. ema_slope_21 : 0.0161199
  63. ema_slope_50 : 0.00757237
  64. ema_slope_100 : 0.000405394
  65. rsi : 0.664419
  66. adx : 0.133869
  67. kc_percentage : 1.12171
  68. kc_width_percentage : 0.0072285
  69. volume_ema_diff : 2.06267
  70. volume_ema1 : 94209.027208567
  71. volume_ema2 : 30760.415104588
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114965
  77. 5m_price_ema100_diff:
    0.00241441
  78. 5m_price:
    115243
  79. 5m_correlation_with_coin:
    0.742218
  80. btc_indicators
  81. 15m_ema100:
    115205
  82. 15m_price_ema100_diff:
    5.98042E-5
  83. 15m_price:
    115212
  84. 15m_correlation_with_coin:
    0.168426
  85. btc_indicators
  86. 1H_ema100:
    115314
  87. 1H_price_ema100_diff:
    -0.000612774
  88. 1H_price:
    115243
  89. 1H_correlation_with_coin:
    0.210079
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:53:32
15 Sep 2025
17:50:00
56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5779 0.5795 0.5747 2 0.1082
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 0.5779
  • Stop Loss: 0.5795
  • Take Profit: 0.5747

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5795 - 0.5779 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5779 - 0.5747 = 0.0032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0032 / 0.0016 = 2

📌 Position Size

Amount Margin Quantity Leverage
2865.7177 100 4958.8471 28.66
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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.5779 = 2889.5

Donc, tu peux acheter 5000 avec un stoploss a 0.5795

Avec un position size USD de 2889.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0032 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 5000
  • Taille de position USD 2889.5
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.55 % 15.87 $
SL % Target SL $ Target
0.28 % 7.93 $
PNL PNL %
-7.93 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2942 % 106.25 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5747
            [entry_price] => 0.5779
            [stop_loss] => 0.57966
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 17:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5747
            [entry_price] => 0.5779
            [stop_loss] => 0.57982
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 17:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5747
            [entry_price] => 0.5779
            [stop_loss] => 0.57998
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 18:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5747
            [entry_price] => 0.5779
            [stop_loss] => 0.5803
            [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] => 0.0013
            [max_drawdown] => 0.0037
            [rr_ratio] => 0.35
            [high] => 0.58160000
            [low] => 0.57660000
            [mfe_pct] => 0.22
            [mae_pct] => 0.64
            [mfe_mae_ratio] => 0.35
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:53:32-04:00
            [end_at] => 2025-09-15T18:53:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0031
            [max_drawdown] => 0.0037
            [rr_ratio] => 0.84
            [high] => 0.58160000
            [low] => 0.57480000
            [mfe_pct] => 0.54
            [mae_pct] => 0.64
            [mfe_mae_ratio] => 0.84
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:53:32-04:00
            [end_at] => 2025-09-15T23:53:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.57810000
            [high_after] => 0.58160000
            [low_before] => 0.57010000
            [low_after] => 0.57500000
            [is_new_high] => 
            [is_new_low] => 
        )

)