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Short Trade on MOODENG

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Short Trade on MOODENG 29 May 2025 at 18:24:20

Take profit at 0.2339 (0.85 %) and Stop Loss at 0.2372 (0.55 %)

Short Trade on MOODENG

The 29 May 2025 at 18:24:20

With 6026.7995 MOODENG at 0.2359$ per unit.

Position size of 1421.4809 $

Take profit at 0.2339 (0.85 %) and Stop Loss at 0.2372 (0.55 %)

That's a 1.54 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 8
Prediction Score: 0.1367
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.51
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.616626

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0008849362525
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 0.235611
  4. ema21 : 0.239439
  5. ema50 : 0.244878
  6. ema100 : 0.248087
  7. price_ema9_diff : 0.00105513
  8. ema9_ema21_diff : -0.0159885
  9. ema21_ema50_diff : -0.0222112
  10. price_ema100_diff : -0.0492862
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.405639
  14. kc_percentage : 0.314821
  15. kc_width_percentage : 0.0756753
    16. ¸
  16. 15m
  17. ema9 : 0.233869
  18. ema21 : 0.23409
  19. ema50 : 0.236854
  20. ema100 : 0.24076
  21. price_ema9_diff : 0.00851144
  22. ema9_ema21_diff : -0.000942856
  23. ema21_ema50_diff : -0.0116724
  24. price_ema100_diff : -0.0203545
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.554716
  28. kc_percentage : 0.755517
  29. kc_width_percentage : 0.0304626
    30. ¸
  30. 5m
  31. ema9 : 0.234446
  32. ema21 : 0.233758
  33. ema50 : 0.233584
  34. ema100 : 0.234158
  35. price_ema9_diff : 0.00602764
  36. ema9_ema21_diff : 0.00294452
  37. ema21_ema50_diff : 0.000744677
  38. price_ema100_diff : 0.00726735
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.666334
  42. kc_percentage : 1.10189
  43. kc_width_percentage : 0.0145553
    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: 
    0.616626
  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
18:24:20		 29 May 2025
18:55:00		 30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2359 0.2372 0.2339 1.54 0.0502
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 0.2359
  • Stop Loss: 0.2372
  • Take Profit: 0.2339

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2372 - 0.2359 = 0.0013

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2359 - 0.2339 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.0013 = 1.5385

📌 Position Size

Amount Margin Quantity Leverage
1421.4809 100 6026.7995 14.21
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 0.0013

Taille de position = 8 / 0.0013 = 6153.85

Taille de position USD = 6153.85 x 0.2359 = 1451.69

Donc, tu peux acheter 6153.85 avec un stoploss a 0.2372

Avec un position size USD de 1451.69$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6153.85 x 0.0013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6153.85 x 0.002 = 12.31

Si Take Profit atteint, tu gagneras 12.31$

Résumé

  • Taille de position 6153.85
  • Taille de position USD 1451.69
  • Perte potentielle 8
  • Gain potentiel 12.31
  • Risk-Reward Ratio 1.5385

📌 Peformances

TP % Target TP $ Target
0.85 % 12.05 $
SL % Target SL $ Target
0.55 % 7.83 $
PNL PNL %
12.05 $ 0.85
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2333
            [stop_loss] => 0.2372
            [rr_ratio] => 2
            [closed_at] => 2025-05-29 19:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.23265
            [stop_loss] => 0.2372
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-29 19:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.232
            [stop_loss] => 0.2372
            [rr_ratio] => 3
            [closed_at] => 2025-05-29 19:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.23135
            [stop_loss] => 0.2372
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2307
            [stop_loss] => 0.2372
            [rr_ratio] => 4
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.23005
            [stop_loss] => 0.2372
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2294
            [stop_loss] => 0.2372
            [rr_ratio] => 5
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.22875
            [stop_loss] => 0.2372
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-29 20:35:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2281
            [stop_loss] => 0.2372
            [rr_ratio] => 6
            [closed_at] => 2025-05-29 20:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.22745
            [stop_loss] => 0.2372
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-29 20:45:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.2268
            [stop_loss] => 0.2372
            [rr_ratio] => 7
            [closed_at] => 2025-05-29 20:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00706
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.23587000
            [low] => 0.22884000
            [mfe_pct] => 2.99
            [mae_pct] => -0.01
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-29T18:24:20-04:00
            [end_at] => 2025-05-29T20:24:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.02917
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.23587000
            [low] => 0.20673000
            [mfe_pct] => 12.37
            [mae_pct] => -0.01
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-29T18:24:20-04:00
            [end_at] => 2025-05-30T00:24:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.23586000
            [high_after] => 0.23587000
            [low_before] => 0.22938000
            [low_after] => 0.20673000
            [is_new_high] => 
            [is_new_low] => 1
        )

)