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Short Trade on MASK

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Short Trade on MASK 30 May 2025 at 15:16:42

Take profit at 2.1155 (1.01 %) and Stop Loss at 2.1514 (0.67 %)

Short Trade on MASK

The 30 May 2025 at 15:16:42

With 557.295 MASK at 2.137$ per unit.

Position size of 1190.9394 $

Take profit at 2.1155 (1.01 %) and Stop Loss at 2.1514 (0.67 %)

That's a 1.49 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 0.82
Prediction 1 Probability
Strong Trade
0.52
Prediction 2 Probability
0 0.42
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.243552

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.009570036296
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 2.14514
  4. ema21 : 2.18487
  5. ema50 : 2.19404
  6. ema100 : 2.12536
  7. price_ema9_diff : -0.00379585
  8. ema9_ema21_diff : -0.018183
  9. ema21_ema50_diff : -0.00417953
  10. price_ema100_diff : 0.00547491
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.379784
  14. kc_percentage : 0.255371
  15. kc_width_percentage : 0.0868958
    16. ¸
  16. 15m
  17. ema9 : 2.11708
  18. ema21 : 2.12429
  19. ema50 : 2.15348
  20. ema100 : 2.18932
  21. price_ema9_diff : 0.00940857
  22. ema9_ema21_diff : -0.00339435
  23. ema21_ema50_diff : -0.0135571
  24. price_ema100_diff : -0.0238996
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.519068
  28. kc_percentage : 0.659989
  29. kc_width_percentage : 0.0397481
    30. ¸
  30. 5m
  31. ema9 : 2.12056
  32. ema21 : 2.11582
  33. ema50 : 2.12014
  34. ema100 : 2.1343
  35. price_ema9_diff : 0.00775126
  36. ema9_ema21_diff : 0.00223708
  37. ema21_ema50_diff : -0.00203446
  38. price_ema100_diff : 0.00126154
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.634164
  42. kc_percentage : 1.05863
  43. kc_width_percentage : 0.0176389
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    104994
  47. 5m_price_ema100_diff: 
    -0.00134502
  48. 5m_price: 
    104853
  49. 5m_correlation_with_coin: 
    0.243552
  50. btc_indicators
  51. 15m_ema100: 
    105445
  52. 15m_price_ema100_diff: 
    -0.00561671
  53. 15m_price: 
    104853
  54. btc_indicators
  55. 1H_ema100: 
    107286
  56. 1H_price_ema100_diff: 
    -0.0226742
  57. 1H_price: 
    104853
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 May 2025
15:16:42		 30 May 2025
15:45:00		 28 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.137 2.1514 2.1155 1.49 0.4234
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 2.137
  • Stop Loss: 2.1514
  • Take Profit: 2.1155

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.1514 - 2.137 = 0.0144

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.137 - 2.1155 = 0.0215

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0215 / 0.0144 = 1.4931

📌 Position Size

Amount Margin Quantity Leverage
1190.9394 100 557.295 11.91
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 0.0144

Taille de position = 8 / 0.0144 = 555.56

Taille de position USD = 555.56 x 2.137 = 1187.23

Donc, tu peux acheter 555.56 avec un stoploss a 2.1514

Avec un position size USD de 1187.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 555.56 x 0.0144 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 555.56 x 0.0215 = 11.94

Si Take Profit atteint, tu gagneras 11.94$

Résumé

  • Taille de position 555.56
  • Taille de position USD 1187.23
  • Perte potentielle 8
  • Gain potentiel 11.94
  • Risk-Reward Ratio 1.4931

📌 Peformances

TP % Target TP $ Target
1.01 % 11.98 $
SL % Target SL $ Target
0.67 % 8.03 $
PNL PNL %
12.26 $ 1.03
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.046794571829663 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.109
            [stop_loss] => 2.151
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 15:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.102
            [stop_loss] => 2.151
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 16:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.095
            [stop_loss] => 2.151
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 17:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.088
            [stop_loss] => 2.151
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 17:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.081
            [stop_loss] => 2.151
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 18:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.074
            [stop_loss] => 2.151
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 18:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.067
            [stop_loss] => 2.151
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 19:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.06
            [stop_loss] => 2.151
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 19:55:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.053
            [stop_loss] => 2.151
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 19:55:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 2.046
            [stop_loss] => 2.151
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 20:25:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 2.039
            [stop_loss] => 2.151
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 20:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.047
            [max_drawdown] => 0.00099999999999989
            [rr_ratio] => 47
            [high] => 2.13800000
            [low] => 2.09000000
            [mfe_pct] => 2.2
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 47
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T15:16:42-04:00
            [end_at] => 2025-05-30T17:16:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.127
            [max_drawdown] => 0.00099999999999989
            [rr_ratio] => 100
            [high] => 2.13800000
            [low] => 2.01000000
            [mfe_pct] => 5.94
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 127
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T15:16:42-04:00
            [end_at] => 2025-05-30T21:16:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.14400000
            [high_after] => 2.13800000
            [low_before] => 2.08300000
            [low_after] => 2.01000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)