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Short Trade on AI16Z

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Short Trade on AI16Z 29 May 2025 at 18:21:21

Take profit at 0.2758 (0.83 %) and Stop Loss at 0.2796 (0.54 %)

Short Trade on AI16Z

The 29 May 2025 at 18:21:21

With 5246.7814 AI16Z at 0.2781$ per unit.

Position size of 1459.1299 $

Take profit at 0.2758 (0.83 %) and Stop Loss at 0.2796 (0.54 %)

That's a 1.53 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 9.66
Prediction Score: 3.4033
Prediction 1 Probability
Strong Trade
0.58
Prediction 2 Probability
2 0.55
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.574868

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.001016496205
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 0.277143
  4. ema21 : 0.283463
  5. ema50 : 0.291413
  6. ema100 : 0.292541
  7. price_ema9_diff : 0.00345034
  8. ema9_ema21_diff : -0.0222934
  9. ema21_ema50_diff : -0.0272822
  10. price_ema100_diff : -0.0493645
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.410674
  14. kc_percentage : 0.300477
  15. kc_width_percentage : 0.0883308
    16. ¸
  16. 15m
  17. ema9 : 0.275492
  18. ema21 : 0.275011
  19. ema50 : 0.278983
  20. ema100 : 0.284041
  21. price_ema9_diff : 0.00946479
  22. ema9_ema21_diff : 0.00174974
  23. ema21_ema50_diff : -0.0142389
  24. price_ema100_diff : -0.0209163
  25. all_emas_in_trend : False
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.587532
  28. kc_percentage : 0.883549
  29. kc_width_percentage : 0.0296162
    30. ¸
  30. 5m
  31. ema9 : 0.277321
  32. ema21 : 0.275692
  33. ema50 : 0.274408
  34. ema100 : 0.274827
  35. price_ema9_diff : 0.00280852
  36. ema9_ema21_diff : 0.00590687
  37. ema21_ema50_diff : 0.00467825
  38. price_ema100_diff : 0.0119065
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.687137
  42. kc_percentage : 1.10118
  43. kc_width_percentage : 0.0137649
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    106435
  47. 5m_price_ema100_diff: 
    -0.00146354
  48. 5m_price: 
    106280
  49. 5m_correlation_with_coin: 
    0.574868
  50. btc_indicators
  51. 15m_ema100: 
    107157
  52. 15m_price_ema100_diff: 
    -0.00818535
  53. 15m_price: 
    106280
  54. btc_indicators
  55. 1H_ema100: 
    108088
  56. 1H_price_ema100_diff: 
    -0.0167311
  57. 1H_price: 
    106280
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 May 2025
18:21:21		 29 May 2025
18:45:00		 23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2781 0.2796 0.2758 1.53 0.0663
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 0.2781
  • Stop Loss: 0.2796
  • Take Profit: 0.2758

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2796 - 0.2781 = 0.0015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2781 - 0.2758 = 0.0023

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0023 / 0.0015 = 1.5333

📌 Position Size

Amount Margin Quantity Leverage
1459.1299 100 5246.7814 14.59
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 0.0015

Taille de position = 8 / 0.0015 = 5333.33

Taille de position USD = 5333.33 x 0.2781 = 1483.2

Donc, tu peux acheter 5333.33 avec un stoploss a 0.2796

Avec un position size USD de 1483.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5333.33 x 0.0015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5333.33 x 0.0023 = 12.27

Si Take Profit atteint, tu gagneras 12.27$

Résumé

  • Taille de position 5333.33
  • Taille de position USD 1483.2
  • Perte potentielle 8
  • Gain potentiel 12.27
  • Risk-Reward Ratio 1.5333

📌 Peformances

TP % Target TP $ Target
0.83 % 12.07 $
SL % Target SL $ Target
0.54 % 7.87 $
PNL PNL %
12.07 $ 0.83
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.43149946062567 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2751
            [stop_loss] => 0.2796
            [rr_ratio] => 2
            [closed_at] => 2025-05-29 19:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.27435
            [stop_loss] => 0.2796
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-29 19:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2736
            [stop_loss] => 0.2796
            [rr_ratio] => 3
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.27285
            [stop_loss] => 0.2796
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2721
            [stop_loss] => 0.2796
            [rr_ratio] => 4
            [closed_at] => 2025-05-29 20:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.27135
            [stop_loss] => 0.2796
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2706
            [stop_loss] => 0.2796
            [rr_ratio] => 5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.26985
            [stop_loss] => 0.2796
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2691
            [stop_loss] => 0.2796
            [rr_ratio] => 6
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.26835
            [stop_loss] => 0.2796
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-29 20:35:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.2676
            [stop_loss] => 0.2796
            [rr_ratio] => 7
            [closed_at] => 2025-05-29 20:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0055
            [max_drawdown] => 0.0012
            [rr_ratio] => 4.58
            [high] => 0.27930000
            [low] => 0.27260000
            [mfe_pct] => 1.98
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 4.58
            [candles_analyzed] => 24
            [start_at] => 2025-05-29T18:21:21-04:00
            [end_at] => 2025-05-29T20:21:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0367
            [max_drawdown] => 0.0012
            [rr_ratio] => 30.58
            [high] => 0.27930000
            [low] => 0.24140000
            [mfe_pct] => 13.2
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 30.58
            [candles_analyzed] => 72
            [start_at] => 2025-05-29T18:21:21-04:00
            [end_at] => 2025-05-30T00:21:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.27960000
            [high_after] => 0.27930000
            [low_before] => 0.26830000
            [low_after] => 0.24140000
            [is_new_high] => 
            [is_new_low] => 1
        )

)