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Short Trade on GRASS

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Short Trade on GRASS 05 Jun 2025 at 22:09:07

Take profit at 1.7789 (0.97 %) and Stop Loss at 1.8079 (0.65 %)

Short Trade on GRASS

The 05 Jun 2025 at 22:09:07

With 690.1483 GRASS at 1.7963$ per unit.

Position size of 1239.7135 $

Take profit at 1.7789 (0.97 %) and Stop Loss at 1.8079 (0.65 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 0.28
Prediction Score: -0.095
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
0 0.45
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.795087

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.007727807267
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 1.79104
  4. ema21 : 1.82216
  5. ema50 : 1.83856
  6. ema100 : 1.82922
  7. price_ema9_diff : 0.00293439
  8. ema9_ema21_diff : -0.0170795
  9. ema21_ema50_diff : -0.00891916
  10. price_ema100_diff : -0.0179968
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.437984
  14. kc_percentage : 0.339946
  15. kc_width_percentage : 0.0833587
  16. volume_ema_diff : -0.539426
    17. ¸
  17. 15m
  18. ema9 : 1.77995
  19. ema21 : 1.7785
  20. ema50 : 1.80014
  21. ema100 : 1.83835
  22. price_ema9_diff : 0.00918259
  23. ema9_ema21_diff : 0.000816132
  24. ema21_ema50_diff : -0.0120206
  25. price_ema100_diff : -0.0228781
  26. all_emas_in_trend : False
  27. all_emas_and_price_in_trend : False
  28. rsi : 0.562129
  29. kc_percentage : 0.77211
  30. kc_width_percentage : 0.0370288
  31. volume_ema_diff : -0.676175
    32. ¸
  32. 5m
  33. ema9 : 1.78289
  34. ema21 : 1.77874
  35. ema50 : 1.77572
  36. ema100 : 1.78136
  37. price_ema9_diff : 0.00751941
  38. ema9_ema21_diff : 0.00233106
  39. ema21_ema50_diff : 0.00170193
  40. price_ema100_diff : 0.00838546
  41. all_emas_in_trend : True
  42. all_emas_and_price_in_trend : True
  43. rsi : 0.653256
  44. kc_percentage : 1.07506
  45. kc_width_percentage : 0.0167883
  46. volume_ema_diff : -0.398099
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 
    101859
  50. 5m_price_ema100_diff: 
    -0.0014803
  51. 5m_price: 
    101708
  52. 5m_correlation_with_coin: 
    0.795087
  53. btc_indicators
  54. 15m_ema100: 
    103200
  55. 15m_price_ema100_diff: 
    -0.0144567
  56. 15m_price: 
    101708
  57. btc_indicators
  58. 1H_ema100: 
    104508
  59. 1H_price_ema100_diff: 
    -0.0267979
  60. 1H_price: 
    101708
    61. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
05 Jun 2025
22:09:07		 05 Jun 2025
22:15:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.7963 1.8079 1.7789 1.5 0.3036
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 1.7963
  • Stop Loss: 1.8079
  • Take Profit: 1.7789

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8079 - 1.7963 = 0.0116

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.7963 - 1.7789 = 0.0174

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0174 / 0.0116 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1239.7135 100 690.1483 12.40
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 0.0116

Taille de position = 8 / 0.0116 = 689.66

Taille de position USD = 689.66 x 1.7963 = 1238.84

Donc, tu peux acheter 689.66 avec un stoploss a 1.8079

Avec un position size USD de 1238.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 689.66 x 0.0116 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 689.66 x 0.0174 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 689.66
  • Taille de position USD 1238.84
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.97 % 12.01 $
SL % Target SL $ Target
0.65 % 8.01 $
PNL PNL %
11.73 $ 0.95
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.772
            [stop_loss] => 1.808
            [rr_ratio] => 2
            [closed_at] => 2025-06-05 22:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.766
            [stop_loss] => 1.808
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-05 22:40:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.76
            [stop_loss] => 1.808
            [rr_ratio] => 3
            [closed_at] => 2025-06-05 22:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.754
            [stop_loss] => 1.808
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-05 22:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.748
            [stop_loss] => 1.808
            [rr_ratio] => 4
            [closed_at] => 2025-06-05 22:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.742
            [stop_loss] => 1.808
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-05 22:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.736
            [stop_loss] => 1.808
            [rr_ratio] => 5
            [closed_at] => 2025-06-05 22:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.73
            [stop_loss] => 1.808
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-05 22:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.724
            [stop_loss] => 1.808
            [rr_ratio] => 6
            [closed_at] => 2025-06-05 22:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.718
            [stop_loss] => 1.808
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-05 22:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.712
            [stop_loss] => 1.808
            [rr_ratio] => 7
            [closed_at] => 2025-06-05 22:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0244
            [max_drawdown] => 0.0891
            [rr_ratio] => 0.27
            [high] => 1.88540000
            [low] => 1.77190000
            [mfe_pct] => 1.36
            [mae_pct] => 4.96
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 24
            [start_at] => 2025-06-05T22:09:07-04:00
            [end_at] => 2025-06-06T00:09:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0244
            [max_drawdown] => 0.2232
            [rr_ratio] => 0.11
            [high] => 2.01950000
            [low] => 1.77190000
            [mfe_pct] => 1.36
            [mae_pct] => 12.43
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 72
            [start_at] => 2025-06-05T22:09:07-04:00
            [end_at] => 2025-06-06T04:09:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.79630000
            [high_after] => 2.01950000
            [low_before] => 1.75640000
            [low_after] => 1.77190000
            [is_new_high] => 
            [is_new_low] => 
        )

)