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Short Trade on AI16Z

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Short Trade on AI16Z 29 May 2025 at 18:25:18

Take profit at 0.2767 (0.86 %) and Stop Loss at 0.2807 (0.57 %)

Short Trade on AI16Z

The 29 May 2025 at 18:25:18

With 5075.8905 AI16Z at 0.2791$ per unit.

Position size of 1416.681 $

Take profit at 0.2767 (0.86 %) and Stop Loss at 0.2807 (0.57 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 8
Prediction Score: 3.4325
Prediction 1 Probability
Strong Trade
0.55
Prediction 2 Probability
2 0.47
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.576366

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.001050718744
Details
  1. score: 1.22
  2. 1H
  3. ema9 : 0.277073
  4. ema21 : 0.283439
  5. ema50 : 0.291472
  6. ema100 : 0.292737
  7. price_ema9_diff : 0.00731516
  8. ema9_ema21_diff : -0.0224625
  9. ema21_ema50_diff : -0.0275576
  10. price_ema100_diff : -0.0465852
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.423003
  14. kc_percentage : 0.343521
  15. kc_width_percentage : 0.0887055
    16. ¸
  16. 15m
  17. ema9 : 0.275643
  18. ema21 : 0.274957
  19. ema50 : 0.278858
  20. ema100 : 0.283922
  21. price_ema9_diff : 0.0125394
  22. ema9_ema21_diff : 0.00249658
  23. ema21_ema50_diff : -0.0139906
  24. price_ema100_diff : -0.0169849
  25. all_emas_in_trend : False
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.593938
  28. kc_percentage : 0.933523
  29. kc_width_percentage : 0.0347526
    30. ¸
  30. 5m
  31. ema9 : 0.277852
  32. ema21 : 0.276093
  33. ema50 : 0.274652
  34. ema100 : 0.275069
  35. price_ema9_diff : 0.0044883
  36. ema9_ema21_diff : 0.00637289
  37. ema21_ema50_diff : 0.00524581
  38. price_ema100_diff : 0.0146543
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.719739
  42. kc_percentage : 1.21779
  43. kc_width_percentage : 0.0144362
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    106443
  47. 5m_price_ema100_diff: 
    -0.00286465
  48. 5m_price: 
    106138
  49. 5m_correlation_with_coin: 
    0.576366
  50. btc_indicators
  51. 15m_ema100: 
    107154
  52. 15m_price_ema100_diff: 
    -0.00948451
  53. 15m_price: 
    106138
  54. btc_indicators
  55. 1H_ema100: 
    108085
  56. 1H_price_ema100_diff: 
    -0.0180193
  57. 1H_price: 
    106138
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 May 2025
18:25:18		 29 May 2025
18:40:00		 14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2791 0.2807 0.2767 1.5 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 0.2791
  • Stop Loss: 0.2807
  • Take Profit: 0.2767

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2807 - 0.2791 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2791 - 0.2767 = 0.0024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0024 / 0.0016 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1416.681 100 5075.8905 14.17
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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.2791 = 1395.5

Donc, tu peux acheter 5000 avec un stoploss a 0.2807

Avec un position size USD de 1395.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 5000
  • Taille de position USD 1395.5
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.86 % 12.18 $
SL % Target SL $ Target
0.57 % 8.12 $
PNL PNL %
12.18 $ 0.86
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2759
            [stop_loss] => 0.2807
            [rr_ratio] => 2
            [closed_at] => 2025-05-29 18:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2751
            [stop_loss] => 0.2807
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-29 19:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2743
            [stop_loss] => 0.2807
            [rr_ratio] => 3
            [closed_at] => 2025-05-29 19:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2735
            [stop_loss] => 0.2807
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2727
            [stop_loss] => 0.2807
            [rr_ratio] => 4
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2719
            [stop_loss] => 0.2807
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-29 20:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2711
            [stop_loss] => 0.2807
            [rr_ratio] => 5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.2703
            [stop_loss] => 0.2807
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2695
            [stop_loss] => 0.2807
            [rr_ratio] => 6
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.2687
            [stop_loss] => 0.2807
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.2679
            [stop_loss] => 0.2807
            [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] => 0.0073
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.27820000
            [low] => 0.27180000
            [mfe_pct] => 2.62
            [mae_pct] => -0.32
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-29T18:25:18-04:00
            [end_at] => 2025-05-29T20:25:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0377
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.27820000
            [low] => 0.24140000
            [mfe_pct] => 13.51
            [mae_pct] => -0.32
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-29T18:25:18-04:00
            [end_at] => 2025-05-30T00:25:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.27960000
            [high_after] => 0.27820000
            [low_before] => 0.26830000
            [low_after] => 0.24140000
            [is_new_high] => 
            [is_new_low] => 1
        )

)