Long Trade on APE 02 Sep 2025 at 21:34:42

Take profit at 0.5711 (0.35 %) and Stop Loss at 0.5677 (0.25 %)

Long Trade on APE

The 02 Sep 2025 at 21:34:42

With 5875.8042 APE at 0.5691$ per unit.

Position size of 3343.9202 $

Take profit at 0.5711 (0.35 %) and Stop Loss at 0.5677 (0.25 %)

That's a 1.43 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 110
ML Pullback Score: 9.8
Prediction Score: 5
Prediction 1 Probability
Strong Trade
0.56
Prediction 2 Probability
1 0.49
Prediction 3 Probability
1 0.62
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.714177

15m : 0.071203

1H : -0.320388

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.33
  4. atr: 0.0009076771731
Details
  1. score: 2.33
  2. 1H
  3. ema9 : 0.570292
  4. ema21 : 0.567066
  5. ema50 : 0.56505
  6. ema100 : 0.564972
  7. price_ema9_diff : -0.00209176
  8. ema9_ema21_diff : 0.00569028
  9. ema21_ema50_diff : 0.00356801
  10. price_ema100_diff : 0.0073054
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.532193
  14. adx : 0.138227
  15. kc_percentage : 0.584118
  16. kc_width_percentage : 0.0383811
  17. volume_ema_diff : -0.470414
  18. volume_ema1 : 291082.07146627
  19. volume_ema2 : 549641.60845065
  20. ¸
  21. 15m
  22. ema9 : 0.571728
  23. ema21 : 0.571657
  24. ema50 : 0.569048
  25. ema100 : 0.565365
  26. price_ema9_diff : -0.00459711
  27. ema9_ema21_diff : 0.000123791
  28. ema21_ema50_diff : 0.00458526
  29. price_ema100_diff : 0.00660475
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.438754
  33. adx : 0.203254
  34. kc_percentage : 0.148071
  35. kc_width_percentage : 0.0131543
  36. volume_ema_diff : -0.341339
  37. volume_ema1 : 72568.03713603
  38. volume_ema2 : 110175.16470315
  39. ¸
  40. 5m
  41. ema9 : 0.570813
  42. ema21 : 0.572144
  43. ema50 : 0.572312
  44. ema100 : 0.57099
  45. price_ema9_diff : -0.00300109
  46. ema9_ema21_diff : -0.00232764
  47. ema21_ema50_diff : -0.000293365
  48. price_ema100_diff : -0.00331048
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.30469
  52. adx : 0.255442
  53. kc_percentage : -0.328699
  54. kc_width_percentage : 0.00632138
  55. volume_ema_diff : 0.327045
  56. volume_ema1 : 33420.388937566
  57. volume_ema2 : 25184.058906712
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    111050
  62. 5m_price_ema100_diff:
    -0.00165638
  63. 5m_price:
    110866
  64. 5m_correlation_with_coin:
    0.714177
  65. btc_indicators
  66. 15m_ema100:
    110483
  67. 15m_price_ema100_diff:
    0.00346694
  68. 15m_price:
    110866
  69. 15m_correlation_with_coin:
    0.071203
  70. btc_indicators
  71. 1H_ema100:
    109372
  72. 1H_price_ema100_diff:
    0.0136585
  73. 1H_price:
    110866
  74. 1H_correlation_with_coin:
    -0.320388
  75. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
02 Sep 2025
21:34:42
02 Sep 2025
21:50:00
15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5691 0.5677 0.5711 1.43 0.1057
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 0.5691
  • Stop Loss: 0.5677
  • Take Profit: 0.5711

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5677 - 0.5691 = -0.0014000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5691 - 0.5711 = -0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.002 / -0.0014000000000001 = 1.4286

📌 Position Size

Amount Margin Quantity Leverage
3343.9202 100 5875.8042 33.44
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 -0.0014000000000001

Taille de position = 8 / -0.0014000000000001 = -5714.29

Taille de position USD = -5714.29 x 0.5691 = -3252

Donc, tu peux acheter -5714.29 avec un stoploss a 0.5677

Avec un position size USD de -3252$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5714.29 x -0.0014000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5714.29 x -0.002 = 11.43

Si Take Profit atteint, tu gagneras 11.43$

Résumé

  • Taille de position -5714.29
  • Taille de position USD -3252
  • Perte potentielle 8
  • Gain potentiel 11.43
  • Risk-Reward Ratio 1.4286

📌 Peformances

TP % Target TP $ Target
0.35 % 11.75 $
SL % Target SL $ Target
0.25 % 8.23 $
PNL PNL %
11.75 $ 0.35
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1581 % 64.27 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.5719
            [stop_loss] => 0.5677
            [rr_ratio] => 2
            [closed_at] => 2025-09-02 21:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.5726
            [stop_loss] => 0.5677
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-02 21:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.5733
            [stop_loss] => 0.5677
            [rr_ratio] => 3
            [closed_at] => 2025-09-02 21:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.574
            [stop_loss] => 0.5677
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-02 22:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.5747
            [stop_loss] => 0.5677
            [rr_ratio] => 4
            [closed_at] => 2025-09-02 22:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.5754
            [stop_loss] => 0.5677
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-02 22:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.5761
            [stop_loss] => 0.5677
            [rr_ratio] => 5
            [closed_at] => 2025-09-02 22:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.5768
            [stop_loss] => 0.5677
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-02 22:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0081
            [max_drawdown] => 0.00090000000000001
            [rr_ratio] => 9
            [high] => 0.57720000
            [low] => 0.56820000
            [mfe_pct] => 1.42
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 9
            [candles_analyzed] => 24
            [start_at] => 2025-09-02T21:34:42-04:00
            [end_at] => 2025-09-02T23:34:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0081
            [max_drawdown] => 0.00090000000000001
            [rr_ratio] => 9
            [high] => 0.57720000
            [low] => 0.56820000
            [mfe_pct] => 1.42
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 9
            [candles_analyzed] => 84
            [start_at] => 2025-09-02T21:34:42-04:00
            [end_at] => 2025-09-03T04:34:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.57640000
            [high_after] => 0.57720000
            [low_before] => 0.56900000
            [low_after] => 0.56820000
            [is_new_high] => 1
            [is_new_low] => 
        )

)