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Short Trade on APE

Short Trade on APE

The 12 Dec 2025 at 16:47:00

With 8495.4178 APE at 0.2278$ per unit.

Position size of 1935.2562 $

Take profit at 0.2259 (0.83 %) and Stop Loss at 0.2287 (0.4 %)

That's a 2.11 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.35
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.51
Prediction 3 Probability
1 0.55
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.83399

15m : -0.090963

1H : -0.159666

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.0006277894071
Details
  1. score: 1.15
  2. 1H
  3. ema9 - 0.227237
  4. ema21 - 0.22939
  5. ema50 - 0.231424
  6. ema100 - 0.233046
  7. price_ema9_diff - 0.00247459
  8. ema9_ema21_diff - -0.00938308
  9. ema21_ema50_diff - -0.00879279
  10. price_ema100_diff - -0.0225135
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.258287
  14. ema_slope_21 - -0.12897
  15. ema_slope_50 - -0.0677588
  16. ema_slope_100 - -0.0428642
  17. rsi - 0.454069
  18. adx - 0.216518
  19. kc_percentage - 0.39002
  20. kc_width_percentage - 0.059039
  21. volume_ema_diff - 0.164584
  22. volume_ema1 - 286657.27928
  23. volume_ema2 - 246145.526361
  24. chop - 31.3961
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.226329
  28. ema21 - 0.226146
  29. ema50 - 0.228193
  30. ema100 - 0.230437
  31. price_ema9_diff - 0.00649593
  32. ema9_ema21_diff - 0.000810271
  33. ema21_ema50_diff - -0.00897215
  34. price_ema100_diff - -0.0114452
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0512984
  38. ema_slope_21 - -0.0196027
  39. ema_slope_50 - -0.0569278
  40. ema_slope_100 - -0.0476094
  41. rsi - 0.565176
  42. adx - 0.209399
  43. kc_percentage - 0.812121
  44. kc_width_percentage - 0.0239214
  45. volume_ema_diff - -0.353995
  46. volume_ema1 - 50113.828833021
  47. volume_ema2 - 77575.017914993
  48. chop - 67.4763
  49. regime - bear_medium
    50. ¸
  50. 5m
  51. ema9 - 0.227082
  52. ema21 - 0.226298
  53. ema50 - 0.22586
  54. ema100 - 0.226896
  55. price_ema9_diff - 0.00316037
  56. ema9_ema21_diff - 0.00346329
  57. ema21_ema50_diff - 0.00194081
  58. price_ema100_diff - 0.00398079
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0798253
  62. ema_slope_21 - 0.0543183
  63. ema_slope_50 - 0.0226715
  64. ema_slope_100 - -0.000897287
  65. rsi - 0.693585
  66. adx - 0.268501
  67. kc_percentage - 1.14797
  68. kc_width_percentage - 0.00985303
  69. volume_ema_diff - 0.0619359
  70. volume_ema1 - 25683.090238145
  71. volume_ema2 - 24185.158887111
  72. chop - 44.8761
  73. regime - bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90615.7
  77. 5m_price_ema100_diff: -0.0042793
  78. 5m_price: 90228
  79. 5m_correlation_with_coin: 0.83399
  80. btc_indicators
  81. 15m_ema100: 91433.1
  82. 15m_price_ema100_diff: -0.0131803
  83. 15m_price: 90228
  84. 15m_correlation_with_coin: -0.090963
  85. btc_indicators
  86. 1H_ema100: 91191.7
  87. 1H_price_ema100_diff: -0.0105686
  88. 1H_price: 90228
  89. 1H_correlation_with_coin: -0.159666
    90. ¸

📌 Time Data

Start at Closed at Duration
12 Dec 2025
16:47:00		 12 Dec 2025
17:20:00		 33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2278 0.2287 0.2259 2.11 0.2134
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 0.2278
  • Stop Loss: 0.2287
  • Take Profit: 0.2259

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2287 - 0.2278 = 0.00089999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2278 - 0.2259 = 0.0019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0019 / 0.00089999999999998 = 2.1111

📌 Position Size

Amount Margin Quantity Leverage
1935.2562 100 8495.4178 19.35
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 0.00089999999999998

Taille de position = 8 / 0.00089999999999998 = 8888.89

Taille de position USD = 8888.89 x 0.2278 = 2024.89

Donc, tu peux acheter 8888.89 avec un stoploss a 0.2287

Avec un position size USD de 2024.89$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00089999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0019 = 16.89

Si Take Profit atteint, tu gagneras 16.89$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 2024.89
  • Perte potentielle 8
  • Gain potentiel 16.89
  • Risk-Reward Ratio 2.1111

📌 Peformances

TP % Target TP $ Target
0.83 % 16.14 $
SL % Target SL $ Target
0.4 % 7.65 $
PNL PNL %
-7.65 $ -0.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.439 % 111.11 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2259
            [entry_price] => 0.2278
            [stop_loss] => 0.22879
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-12 17:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2259
            [entry_price] => 0.2278
            [stop_loss] => 0.22888
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-12 17:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2259
            [entry_price] => 0.2278
            [stop_loss] => 0.22897
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-12 17:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2259
            [entry_price] => 0.2278
            [stop_loss] => 0.22915
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-12 17:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0011
            [max_drawdown] => 0.0035
            [rr_ratio] => 0.31
            [high] => 0.23130000
            [low] => 0.22670000
            [mfe_pct] => 0.48
            [mae_pct] => 1.54
            [mfe_mae_ratio] => 0.31
            [candles_analyzed] => 24
            [start_at] => 2025-12-12T16:47:00-05:00
            [end_at] => 2025-12-12T18:47:00-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0011
            [max_drawdown] => 0.0063
            [rr_ratio] => 0.17
            [high] => 0.23410000
            [low] => 0.22670000
            [mfe_pct] => 0.48
            [mae_pct] => 2.77
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 84
            [start_at] => 2025-12-12T16:47:00-05:00
            [end_at] => 2025-12-12T23:47:00-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22810000
            [high_after] => 0.23410000
            [low_before] => 0.22300000
            [low_after] => 0.22670000
            [is_new_high] => 
            [is_new_low] => 
        )

)