Short Trade on AWE 30 May 2025 at 01:34:50

Take profit at 0.05872 (0.83 %) and Stop Loss at 0.05953 (0.54 %)

Short Trade on AWE

The 30 May 2025 at 01:34:50

With 24636.3126 AWE at 0.05921$ per unit.

Position size of 1458.7161 $

Take profit at 0.05872 (0.83 %) and Stop Loss at 0.05953 (0.54 %)

That's a 1.53 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 0.025
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
0 0.48
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.508162

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0002164826133
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.0597354
  4. ema21 : 0.0608592
  5. ema50 : 0.0622464
  6. ema100 : 0.0636309
  7. price_ema9_diff : -0.00879657
  8. ema9_ema21_diff : -0.0184647
  9. ema21_ema50_diff : -0.0222863
  10. price_ema100_diff : -0.069478
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.35205
  14. kc_percentage : 0.0877824
  15. kc_width_percentage : 0.0648456
  16. ¸
  17. 15m
  18. ema9 : 0.0587758
  19. ema21 : 0.0591923
  20. ema50 : 0.0602484
  21. ema100 : 0.0608533
  22. price_ema9_diff : 0.00738646
  23. ema9_ema21_diff : -0.00703689
  24. ema21_ema50_diff : -0.0175291
  25. price_ema100_diff : -0.027005
  26. all_emas_in_trend : True
  27. all_emas_and_price_in_trend : False
  28. rsi : 0.464936
  29. kc_percentage : 0.533202
  30. kc_width_percentage : 0.0332676
  31. ¸
  32. 5m
  33. ema9 : 0.0589309
  34. ema21 : 0.0587551
  35. ema50 : 0.0589841
  36. ema100 : 0.0597866
  37. price_ema9_diff : 0.00473561
  38. ema9_ema21_diff : 0.00299229
  39. ema21_ema50_diff : -0.00388255
  40. price_ema100_diff : -0.00964585
  41. all_emas_in_trend : False
  42. all_emas_and_price_in_trend : False
  43. rsi : 0.632602
  44. kc_percentage : 1.03298
  45. kc_width_percentage : 0.0142281
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100:
    105984
  50. 5m_price_ema100_diff:
    0.00176112
  51. 5m_price:
    106171
  52. 5m_correlation_with_coin:
    0.508162
  53. btc_indicators
  54. 15m_ema100:
    106629
  55. 15m_price_ema100_diff:
    -0.00429567
  56. 15m_price:
    106171
  57. btc_indicators
  58. 1H_ema100:
    107990
  59. 1H_price_ema100_diff:
    -0.0168403
  60. 1H_price:
    106171
  61. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 May 2025
01:34:50
30 May 2025
01:45:00
10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05921 0.05953 0.05872 1.53 0.05136
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 0.05921
  • Stop Loss: 0.05953
  • Take Profit: 0.05872

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05953 - 0.05921 = 0.00032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05921 - 0.05872 = 0.00049

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00049 / 0.00032 = 1.5312

📌 Position Size

Amount Margin Quantity Leverage
1458.7161 100 24636.3126 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 0.00032

Taille de position = 8 / 0.00032 = 25000

Taille de position USD = 25000 x 0.05921 = 1480.25

Donc, tu peux acheter 25000 avec un stoploss a 0.05953

Avec un position size USD de 1480.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 25000 x 0.00032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 25000 x 0.00049 = 12.25

Si Take Profit atteint, tu gagneras 12.25$

Résumé

  • Taille de position 25000
  • Taille de position USD 1480.25
  • Perte potentielle 8
  • Gain potentiel 12.25
  • Risk-Reward Ratio 1.5312

📌 Peformances

TP % Target TP $ Target
0.83 % 12.07 $
SL % Target SL $ Target
0.54 % 7.88 $
PNL PNL %
12.07 $ 0.83
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.067556156054718 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.05857
            [stop_loss] => 0.05953
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 01:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.05841
            [stop_loss] => 0.05953
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 02:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.05825
            [stop_loss] => 0.05953
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 02:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.05809
            [stop_loss] => 0.05953
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 02:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.05793
            [stop_loss] => 0.05953
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 02:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.05777
            [stop_loss] => 0.05953
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 02:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.05761
            [stop_loss] => 0.05953
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 02:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.05745
            [stop_loss] => 0.05953
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 02:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.05729
            [stop_loss] => 0.05953
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 03:35:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.05713
            [stop_loss] => 0.05953
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 04:05:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.05697
            [stop_loss] => 0.05953
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 04:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.001878
            [max_drawdown] => 3.9999999999998E-5
            [rr_ratio] => 46.95
            [high] => 0.05925000
            [low] => 0.05733200
            [mfe_pct] => 3.17
            [mae_pct] => 0.07
            [mfe_mae_ratio] => 46.95
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T01:34:50-04:00
            [end_at] => 2025-05-30T03:34:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.002326
            [max_drawdown] => 3.9999999999998E-5
            [rr_ratio] => 58.15
            [high] => 0.05925000
            [low] => 0.05688400
            [mfe_pct] => 3.93
            [mae_pct] => 0.07
            [mfe_mae_ratio] => 58.15
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T01:34:50-04:00
            [end_at] => 2025-05-30T07:34:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05931000
            [high_after] => 0.05925000
            [low_before] => 0.05791100
            [low_after] => 0.05688400
            [is_new_high] => 
            [is_new_low] => 1
        )

)