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Short Trade on APT

Short Trade on APT

The 12 Jul 2025 at 18:00:18

With 464.9329 APT at 4.7927$ per unit.

Position size of 2228.2841 $

Take profit at 4.7669 (0.54 %) and Stop Loss at 4.8099 (0.36 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 1.98
Prediction Score: -0.3407
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
0 0.52
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.671574

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.01147118857
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 4.7838
  4. ema21 - 4.81679
  5. ema50 - 4.82125
  6. ema100 - 4.74985
  7. price_ema9_diff - 0.00185836
  8. ema9_ema21_diff - -0.00684891
  9. ema21_ema50_diff - -0.000925069
  10. price_ema100_diff - 0.00902018
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.461194
  14. kc_percentage - 0.414381
  15. kc_width_percentage - 0.0532922
  16. volume_ema_diff - -0.671583
  17. volume_ema1 - 369648.65974706
  18. volume_ema2 - 1125547.5375553
    19. ¸
  19. 15m
  20. ema9 - 4.77399
  21. ema21 - 4.77249
  22. ema50 - 4.7954
  23. ema100 - 4.83954
  24. price_ema9_diff - 0.0039189
  25. ema9_ema21_diff - 0.000313257
  26. ema21_ema50_diff - -0.00477676
  27. price_ema100_diff - -0.00967889
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.545321
  31. kc_percentage - 0.722383
  32. kc_width_percentage - 0.0192773
  33. volume_ema_diff - -0.849898
  34. volume_ema1 - 30456.511423074
  35. volume_ema2 - 202905.85029543
    36. ¸
  36. 5m
  37. ema9 - 4.77811
  38. ema21 - 4.76952
  39. ema50 - 4.76695
  40. ema100 - 4.76623
  41. price_ema9_diff - 0.00305299
  42. ema9_ema21_diff - 0.00180101
  43. ema21_ema50_diff - 0.000537881
  44. price_ema100_diff - 0.00555257
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.635826
  48. kc_percentage - 1.01826
  49. kc_width_percentage - 0.00921764
  50. volume_ema_diff - -0.775027
  51. volume_ema1 - 8107.8965605143
  52. volume_ema2 - 36039.491467651
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 117346
  56. 5m_price_ema100_diff: 0.000964404
  57. 5m_price: 117459
  58. 5m_correlation_with_coin: 0.671574
  59. btc_indicators
  60. 15m_ema100: 117546
  61. 15m_price_ema100_diff: -0.000738673
  62. 15m_price: 117459
  63. btc_indicators
  64. 1H_ema100: 114691
  65. 1H_price_ema100_diff: 0.0241417
  66. 1H_price: 117459
    67. ¸

📌 Time Data

Start at Closed at Duration
12 Jul 2025
18:00:18		 12 Jul 2025
18:15:00		 14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.7927 4.8099 4.7669 1.5 1.5685
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 4.7927
  • Stop Loss: 4.8099
  • Take Profit: 4.7669

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.8099 - 4.7927 = 0.0172

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.7927 - 4.7669 = 0.0258

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0258 / 0.0172 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2228.2841 100 464.9329 22.28
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 0.0172

Taille de position = 8 / 0.0172 = 465.12

Taille de position USD = 465.12 x 4.7927 = 2229.18

Donc, tu peux acheter 465.12 avec un stoploss a 4.8099

Avec un position size USD de 2229.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 465.12 x 0.0172 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 465.12 x 0.0258 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 465.12
  • Taille de position USD 2229.18
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.54 % 12 $
SL % Target SL $ Target
0.36 % 8 $
PNL PNL %
12.09 $ 0.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 4.759
            [stop_loss] => 4.81
            [rr_ratio] => 2
            [closed_at] => 2025-07-12 18:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 4.7505
            [stop_loss] => 4.81
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-12 20:20:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 4.742
            [stop_loss] => 4.81
            [rr_ratio] => 3
            [closed_at] => 2025-07-12 20:20:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 4.7335
            [stop_loss] => 4.81
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-12 20:20:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 4.725
            [stop_loss] => 4.81
            [rr_ratio] => 4
            [closed_at] => 2025-07-12 20:20:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 4.7165
            [stop_loss] => 4.81
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-12 20:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 4.708
            [stop_loss] => 4.81
            [rr_ratio] => 5
            [closed_at] => 2025-07-12 20:20:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 4.6995
            [stop_loss] => 4.81
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-12 20:20:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 4.691
            [stop_loss] => 4.81
            [rr_ratio] => 6
            [closed_at] => 2025-07-12 20:20:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 4.6825
            [stop_loss] => 4.81
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-12 20:20:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 4.674
            [stop_loss] => 4.81
            [rr_ratio] => 7
            [closed_at] => 2025-07-12 20:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0361
            [max_drawdown] => 0.0162
            [rr_ratio] => 2.23
            [high] => 4.80890000
            [low] => 4.75660000
            [mfe_pct] => 0.75
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 2.23
            [candles_analyzed] => 24
            [start_at] => 2025-07-12T18:00:18-04:00
            [end_at] => 2025-07-12T20:00:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0361
            [max_drawdown] => 0.1125
            [rr_ratio] => 0.32
            [high] => 4.90520000
            [low] => 4.75660000
            [mfe_pct] => 0.75
            [mae_pct] => 2.35
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 72
            [start_at] => 2025-07-12T18:00:18-04:00
            [end_at] => 2025-07-13T00:00:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.80080000
            [high_after] => 4.90520000
            [low_before] => 4.72270000
            [low_after] => 4.75660000
            [is_new_high] => 
            [is_new_low] => 
        )

)