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Short Trade on AI16Z

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Short Trade on AI16Z 31 May 2025 at 01:08:13

Take profit at 0.2013 (2.23 %) and Stop Loss at 0.2089 (1.46 %)

Short Trade on AI16Z

The 31 May 2025 at 01:08:13

With 2626.8419 AI16Z at 0.2059$ per unit.

Position size of 540.8667 $

Take profit at 0.2013 (2.23 %) and Stop Loss at 0.2089 (1.46 %)

That's a 1.53 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 4.56
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.732094

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.002030321395
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 0.210037
  4. ema21 : 0.225202
  5. ema50 : 0.248331
  6. ema100 : 0.266267
  7. price_ema9_diff : -0.0196985
  8. ema9_ema21_diff : -0.067338
  9. ema21_ema50_diff : -0.0931394
  10. price_ema100_diff : -0.226717
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.286434
  14. kc_percentage : -0.0151685
  15. kc_width_percentage : 0.171662
    16. ¸
  16. 15m
  17. ema9 : 0.20149
  18. ema21 : 0.204248
  19. ema50 : 0.21492
  20. ema100 : 0.226729
  21. price_ema9_diff : 0.0218823
  22. ema9_ema21_diff : -0.0135
  23. ema21_ema50_diff : -0.049657
  24. price_ema100_diff : -0.0918697
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.488106
  28. kc_percentage : 0.631871
  29. kc_width_percentage : 0.0742588
    30. ¸
  30. 5m
  31. ema9 : 0.203298
  32. ema21 : 0.201371
  33. ema50 : 0.202501
  34. ema100 : 0.208295
  35. price_ema9_diff : 0.0127943
  36. ema9_ema21_diff : 0.00956983
  37. ema21_ema50_diff : -0.00557802
  38. price_ema100_diff : -0.0115006
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.677426
  42. kc_percentage : 1.06575
  43. kc_width_percentage : 0.0382131
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    103850
  47. 5m_price_ema100_diff: 
    -0.000736073
  48. 5m_price: 
    103773
  49. 5m_correlation_with_coin: 
    0.732094
  50. btc_indicators
  51. 15m_ema100: 
    104590
  52. 15m_price_ema100_diff: 
    -0.00780729
  53. 15m_price: 
    103773
  54. btc_indicators
  55. 1H_ema100: 
    106513
  56. 1H_price_ema100_diff: 
    -0.0257248
  57. 1H_price: 
    103773
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
31 May 2025
01:08:13		 31 May 2025
02:00:00		 51 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2059 0.2089 0.2013 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 0.2059
  • Stop Loss: 0.2089
  • Take Profit: 0.2013

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2089 - 0.2059 = 0.003

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2059 - 0.2013 = 0.0046

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0046 / 0.003 = 1.5333

📌 Position Size

Amount Margin Quantity Leverage
540.8667 100 2626.8419 5.41
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 0.003

Taille de position = 8 / 0.003 = 2666.67

Taille de position USD = 2666.67 x 0.2059 = 549.07

Donc, tu peux acheter 2666.67 avec un stoploss a 0.2089

Avec un position size USD de 549.07$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2666.67 x 0.003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2666.67 x 0.0046 = 12.27

Si Take Profit atteint, tu gagneras 12.27$

Résumé

  • Taille de position 2666.67
  • Taille de position USD 549.07
  • Perte potentielle 8
  • Gain potentiel 12.27
  • Risk-Reward Ratio 1.5333

📌 Peformances

TP % Target TP $ Target
2.23 % 12.08 $
SL % Target SL $ Target
1.46 % 7.88 $
PNL PNL %
12.08 $ 2.23
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.33997085964061 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1999
            [stop_loss] => 0.2089
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.1984
            [stop_loss] => 0.2089
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1969
            [stop_loss] => 0.2089
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.1954
            [stop_loss] => 0.2089
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1939
            [stop_loss] => 0.2089
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1924
            [stop_loss] => 0.2089
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1909
            [stop_loss] => 0.2089
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1894
            [stop_loss] => 0.2089
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1879
            [stop_loss] => 0.2089
            [rr_ratio] => 6
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1864
            [stop_loss] => 0.2089
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1849
            [stop_loss] => 0.2089
            [rr_ratio] => 7
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.005
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 7.14
            [high] => 0.20660000
            [low] => 0.20090000
            [mfe_pct] => 2.43
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 7.14
            [candles_analyzed] => 24
            [start_at] => 2025-05-31T01:08:13-04:00
            [end_at] => 2025-05-31T03:08:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.005
            [max_drawdown] => 0.0054
            [rr_ratio] => 0.93
            [high] => 0.21130000
            [low] => 0.20090000
            [mfe_pct] => 2.43
            [mae_pct] => 2.62
            [mfe_mae_ratio] => 0.93
            [candles_analyzed] => 72
            [start_at] => 2025-05-31T01:08:13-04:00
            [end_at] => 2025-05-31T07:08:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.20700000
            [high_after] => 0.21130000
            [low_before] => 0.19350000
            [low_after] => 0.20090000
            [is_new_high] => 
            [is_new_low] => 
        )

)