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Long Trade on APE

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Long Trade on APE 05 Sep 2025 at 10:33:47

Take profit at 0.58 (1.05 %) and Stop Loss at 0.571 (0.52 %)

Long Trade on APE

The 05 Sep 2025 at 10:33:47

With 2644.9125 APE at 0.574$ per unit.

Position size of 1518.1798 $

Take profit at 0.58 (1.05 %) and Stop Loss at 0.571 (0.52 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -60
ML Pullback Score: 3.18
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.66
Prediction 2 Probability
2 0.46
Prediction 3 Probability
1 0.86
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : bear_low

1H_regime : bull_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.702735

15m : 0.108653

1H : 0.049693

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.002016449787
Details
  1. score: 2.07
  2. 1H
  3. ema9 : 0.576025
  4. ema21 : 0.572502
  5. ema50 : 0.570394
  6. ema100 : 0.568759
  7. price_ema9_diff : -0.00351634
  8. ema9_ema21_diff : 0.00615443
  9. ema21_ema50_diff : 0.00369434
  10. price_ema100_diff : 0.00921469
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.164431
  14. ema_slope_21 : 0.102971
  15. ema_slope_50 : 0.0430878
  16. ema_slope_100 : 0.0245538
  17. rsi : 0.533166
  18. adx : 0.237484
  19. kc_percentage : 0.571685
  20. kc_width_percentage : 0.0320311
  21. volume_ema_diff : 1.51597
  22. volume_ema1 : 1080989.3777536
  23. volume_ema2 : 429651.04054149
  24. regime : bull_high
    25. ¸
  25. 15m
  26. ema9 : 0.578205
  27. ema21 : 0.577503
  28. ema50 : 0.57421
  29. ema100 : 0.570829
  30. price_ema9_diff : -0.00727289
  31. ema9_ema21_diff : 0.00121555
  32. ema21_ema50_diff : 0.0057341
  33. price_ema100_diff : 0.00555462
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0422246
  37. ema_slope_21 : 0.0488334
  38. ema_slope_50 : 0.0451893
  39. ema_slope_100 : 0.0335636
  40. rsi : 0.424491
  41. adx : 0.350714
  42. kc_percentage : 0.18096
  43. kc_width_percentage : 0.0197299
  44. volume_ema_diff : 1.44342
  45. volume_ema1 : 447292.41477641
  46. volume_ema2 : 183059.79419964
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.577401
  50. ema21 : 0.579061
  51. ema50 : 0.578425
  52. ema100 : 0.576569
  53. price_ema9_diff : -0.00589141
  54. ema9_ema21_diff : -0.0028665
  55. ema21_ema50_diff : 0.00109901
  56. price_ema100_diff : -0.00445659
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : -0.0671537
  60. ema_slope_21 : -0.0195106
  61. ema_slope_50 : 0.00576662
  62. ema_slope_100 : 0.0107566
  63. rsi : 0.264997
  64. adx : 0.343878
  65. kc_percentage : -0.0670672
  66. kc_width_percentage : 0.015436
  67. volume_ema_diff : 0.943468
  68. volume_ema1 : 215208.54927719
  69. volume_ema2 : 110734.24076309
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    112291
  74. 5m_price_ema100_diff: 
    -0.0116752
  75. 5m_price: 
    110980
  76. 5m_correlation_with_coin: 
    0.702735
  77. btc_indicators
  78. 15m_ema100: 
    111482
  79. 15m_price_ema100_diff: 
    -0.00450052
  80. 15m_price: 
    110980
  81. 15m_correlation_with_coin: 
    0.108653
  82. btc_indicators
  83. 1H_ema100: 
    110749
  84. 1H_price_ema100_diff: 
    0.00209195
  85. 1H_price: 
    110980
  86. 1H_correlation_with_coin: 
    0.049693
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
05 Sep 2025
10:33:47		 05 Sep 2025
10:35:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.574 0.571 0.58 2 0.0981
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 0.574
  • Stop Loss: 0.571
  • Take Profit: 0.58

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.571 - 0.574 = -0.003

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.574 - 0.58 = -0.006

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.006 / -0.003 = 2

📌 Position Size

Amount Margin Quantity Leverage
1518.1798 100 2644.9125 15.18
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 -0.003

Taille de position = 8 / -0.003 = -2666.67

Taille de position USD = -2666.67 x 0.574 = -1530.67

Donc, tu peux acheter -2666.67 avec un stoploss a 0.571

Avec un position size USD de -1530.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2666.67 x -0.003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2666.67 x -0.006 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -2666.67
  • Taille de position USD -1530.67
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.05 % 15.87 $
SL % Target SL $ Target
0.52 % 7.93 $
PNL PNL %
-7.93 $ -0.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5226 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.58
            [entry_price] => 0.574
            [stop_loss] => 0.5707
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-05 15:15:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.58
            [entry_price] => 0.574
            [stop_loss] => 0.5704
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-05 15:15:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.58
            [entry_price] => 0.574
            [stop_loss] => 0.5701
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-05 15:15:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.58
            [entry_price] => 0.574
            [stop_loss] => 0.5695
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-05 15:15:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0036
            [max_drawdown] => 0.003
            [rr_ratio] => 1.2
            [high] => 0.57760000
            [low] => 0.57100000
            [mfe_pct] => 0.63
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 1.2
            [candles_analyzed] => 24
            [start_at] => 2025-09-05T10:33:47-04:00
            [end_at] => 2025-09-05T12:33:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0111
            [max_drawdown] => 0.003
            [rr_ratio] => 3.7
            [high] => 0.58510000
            [low] => 0.57100000
            [mfe_pct] => 1.93
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 3.7
            [candles_analyzed] => 84
            [start_at] => 2025-09-05T10:33:47-04:00
            [end_at] => 2025-09-05T17:33:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.58420000
            [high_after] => 0.58310000
            [low_before] => 0.57250000
            [low_after] => 0.57100000
            [is_new_high] => 
            [is_new_low] => 
        )

)