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Short Trade on APE

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Short Trade on APE 29 Aug 2025 at 17:44:03

Take profit at 0.559 (0.62 %) and Stop Loss at 0.5648 (0.41 %)

Short Trade on APE

The 29 Aug 2025 at 17:44:03

With 3449.5765 APE at 0.5625$ per unit.

Position size of 1940.3868 $

Take profit at 0.559 (0.62 %) and Stop Loss at 0.5648 (0.41 %)

That's a 1.52 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 100
ML Pullback Score: 5.82
Prediction Score: 2.1857
Prediction 1 Probability
Weak Trade
0.94
Prediction 2 Probability
0 0.91
Prediction 3 Probability
0 0.97
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : bear_low
BTC Correlation Score

5m : 0.662143

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.001546083497
Details
  1. score: 1.2
  2. 1H
  3. ema9 : 0.562026
  4. ema21 : 0.568888
  5. ema50 : 0.575604
  6. ema100 : 0.578322
  7. price_ema9_diff : 0.000841916
  8. ema9_ema21_diff : -0.0120609
  9. ema21_ema50_diff : -0.0116687
  10. price_ema100_diff : -0.027359
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.422893
  14. adx : 0.238694
  15. kc_percentage : 0.300867
  16. kc_width_percentage : 0.0530151
  17. volume_ema_diff : -0.223077
  18. volume_ema1 : 598873.38840449
  19. volume_ema2 : 770828.07324863
    20. ¸
  20. 15m
  21. ema9 : 0.55796
  22. ema21 : 0.559323
  23. ema50 : 0.564617
  24. ema100 : 0.570754
  25. price_ema9_diff : 0.00813545
  26. ema9_ema21_diff : -0.00243694
  27. ema21_ema50_diff : -0.00937532
  28. price_ema100_diff : -0.0144617
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.478158
  32. adx : 0.317241
  33. kc_percentage : 0.776966
  34. kc_width_percentage : 0.0214789
  35. volume_ema_diff : -0.520826
  36. volume_ema1 : 92744.013168958
  37. volume_ema2 : 193550.0733016
    38. ¸
  38. 5m
  39. ema9 : 0.55931
  40. ema21 : 0.558285
  41. ema50 : 0.558868
  42. ema100 : 0.561912
  43. price_ema9_diff : 0.00570173
  44. ema9_ema21_diff : 0.00183609
  45. ema21_ema50_diff : -0.00104273
  46. price_ema100_diff : 0.00104489
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.677467
  50. adx : 0.144602
  51. kc_percentage : 1.19845
  52. kc_width_percentage : 0.0106333
  53. volume_ema_diff : 0.537837
  54. volume_ema1 : 75514.11343525
  55. volume_ema2 : 49104.101642605
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    108506
  59. 5m_price_ema100_diff: 
    -0.00182643
  60. 5m_price: 
    108308
  61. 5m_correlation_with_coin: 
    0.662143
  62. btc_indicators
  63. 15m_ema100: 
    109723
  64. 15m_price_ema100_diff: 
    -0.0141927
  65. 15m_price: 
    108166
  66. btc_indicators
  67. 1H_ema100: 
    111058
  68. 1H_price_ema100_diff: 
    -0.0243291
  69. 1H_price: 
    108356
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Aug 2025
17:44:03		 29 Aug 2025
20:30:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5625 0.5648 0.559 1.52 0.1076
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 0.5625
  • Stop Loss: 0.5648
  • Take Profit: 0.559

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5648 - 0.5625 = 0.0023

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5625 - 0.559 = 0.0034999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0034999999999999 / 0.0023 = 1.5217

📌 Position Size

Amount Margin Quantity Leverage
1940.3868 100 3449.5765 19.40
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 0.0023

Taille de position = 8 / 0.0023 = 3478.26

Taille de position USD = 3478.26 x 0.5625 = 1956.52

Donc, tu peux acheter 3478.26 avec un stoploss a 0.5648

Avec un position size USD de 1956.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3478.26 x 0.0023 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3478.26 x 0.0034999999999999 = 12.17

Si Take Profit atteint, tu gagneras 12.17$

Résumé

  • Taille de position 3478.26
  • Taille de position USD 1956.52
  • Perte potentielle 8
  • Gain potentiel 12.17
  • Risk-Reward Ratio 1.5217

📌 Peformances

TP % Target TP $ Target
0.62 % 12.07 $
SL % Target SL $ Target
0.41 % 7.93 $
PNL PNL %
12.07 $ 0.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1422 % 34.78 % 13

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.5579
            [stop_loss] => 0.5648
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 20:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.55675
            [stop_loss] => 0.5648
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 21:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.5556
            [stop_loss] => 0.5648
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 21:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.55445
            [stop_loss] => 0.5648
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.5533
            [stop_loss] => 0.5648
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.55215
            [stop_loss] => 0.5648
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 21:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.551
            [stop_loss] => 0.5648
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 21:55:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.54985
            [stop_loss] => 0.5648
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 23:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.5487
            [stop_loss] => 0.5648
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 23:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.54755
            [stop_loss] => 0.5648
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-29 23:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.5464
            [stop_loss] => 0.5648
            [rr_ratio] => 7
            [closed_at] => 2025-08-29 23:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0027
            [max_drawdown] => 0.00080000000000002
            [rr_ratio] => 3.37
            [high] => 0.56330000
            [low] => 0.55980000
            [mfe_pct] => 0.48
            [mae_pct] => 0.14
            [mfe_mae_ratio] => 3.37
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T17:44:03-04:00
            [end_at] => 2025-08-29T19:44:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0125
            [max_drawdown] => 0.0067
            [rr_ratio] => 1.87
            [high] => 0.56920000
            [low] => 0.55000000
            [mfe_pct] => 2.22
            [mae_pct] => 1.19
            [mfe_mae_ratio] => 1.87
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T17:44:03-04:00
            [end_at] => 2025-08-30T00:44:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.56250000
            [high_after] => 0.56920000
            [low_before] => 0.55160000
            [low_after] => 0.55000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)