Short Trade on GRASS 01 Jul 2025 at 10:56:09

Take profit at 0.9915 (1.9 %) and Stop Loss at 1.0235 (1.27 %)

Short Trade on GRASS

The 01 Jul 2025 at 10:56:09

With 625.4899 GRASS at 1.0107$ per unit.

Position size of 632.1826 $

Take profit at 0.9915 (1.9 %) and Stop Loss at 1.0235 (1.27 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 1.2
Prediction Score: -0.0333
Prediction 1 Probability
Weak Trade
0.5
Prediction 2 Probability
0 0.46
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.2218

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.008526649873
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 0.990418
  4. ema21 : 1.0193
  5. ema50 : 1.07321
  6. ema100 : 1.10784
  7. price_ema9_diff : 0.020478
  8. ema9_ema21_diff : -0.0283418
  9. ema21_ema50_diff : -0.0502291
  10. price_ema100_diff : -0.0876852
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.426968
  14. kc_percentage : 0.440696
  15. kc_width_percentage : 0.100435
  16. volume_ema_diff : 0.469225
  17. volume_ema1 : 739768.03984884
  18. volume_ema2 : 503508.92309899
  19. ¸
  20. 15m
  21. ema9 : 0.983501
  22. ema21 : 0.981074
  23. ema50 : 0.994922
  24. ema100 : 1.02425
  25. price_ema9_diff : 0.0276546
  26. ema9_ema21_diff : 0.00247347
  27. ema21_ema50_diff : -0.0139185
  28. price_ema100_diff : -0.013231
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.582186
  32. kc_percentage : 1.12539
  33. kc_width_percentage : 0.0470813
  34. volume_ema_diff : -0.136625
  35. volume_ema1 : 141806.7154773
  36. volume_ema2 : 164247.04275539
  37. ¸
  38. 5m
  39. ema9 : 0.996916
  40. ema21 : 0.988535
  41. ema50 : 0.982225
  42. ema100 : 0.982695
  43. price_ema9_diff : 0.0138259
  44. ema9_ema21_diff : 0.0084784
  45. ema21_ema50_diff : 0.00642386
  46. price_ema100_diff : 0.0284973
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.691923
  50. kc_percentage : 1.09575
  51. kc_width_percentage : 0.0360241
  52. volume_ema_diff : 0.1745
  53. volume_ema1 : 74714.470310856
  54. volume_ema2 : 63613.832689533
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    106554
  59. 5m_price_ema100_diff:
    -0.00641477
  60. 5m_price:
    105871
  61. 5m_correlation_with_coin:
    0.2218
  62. btc_indicators
  63. 15m_ema100:
    106900
  64. 15m_price_ema100_diff:
    -0.010427
  65. 15m_price:
    105785
  66. btc_indicators
  67. 1H_ema100:
    107232
  68. 1H_price_ema100_diff:
    -0.0126949
  69. 1H_price:
    105871
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Jul 2025
10:56:09
01 Jul 2025
11:40:00
43 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0107 1.0235 0.9915 1.5 0.2278
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 1.0107
  • Stop Loss: 1.0235
  • Take Profit: 0.9915

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0235 - 1.0107 = 0.0128

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0107 - 0.9915 = 0.0192

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0192 / 0.0128 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
632.1826 100 625.4899 6.32
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 0.0128

Taille de position = 8 / 0.0128 = 625

Taille de position USD = 625 x 1.0107 = 631.69

Donc, tu peux acheter 625 avec un stoploss a 1.0235

Avec un position size USD de 631.69$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 625 x 0.0128 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 625 x 0.0192 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 625
  • Taille de position USD 631.69
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.9 % 12.01 $
SL % Target SL $ Target
1.27 % 8.01 $
PNL PNL %
12.19 $ 1.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6133 % 51.67 % 1

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 0.987
            [stop_loss] => 1.023
            [rr_ratio] => 2
            [closed_at] => 2025-07-01 12:15:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.981
            [stop_loss] => 1.023
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-01 12:15:00
            [result] => loss
        )

    [3] => Array
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            [take_profit] => 0.975
            [stop_loss] => 1.023
            [rr_ratio] => 3
            [closed_at] => 2025-07-01 12:15:00
            [result] => loss
        )

    [3.5] => Array
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            [stop_loss] => 1.023
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-01 12:15:00
            [result] => loss
        )

    [4] => Array
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            [take_profit] => 0.963
            [stop_loss] => 1.023
            [rr_ratio] => 4
            [closed_at] => 2025-07-01 12:15:00
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    [4.5] => Array
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            [take_profit] => 0.957
            [stop_loss] => 1.023
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-01 12:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.951
            [stop_loss] => 1.023
            [rr_ratio] => 5
            [closed_at] => 2025-07-01 12:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.945
            [stop_loss] => 1.023
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-01 12:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.939
            [stop_loss] => 1.023
            [rr_ratio] => 6
            [closed_at] => 2025-07-01 12:15:00
            [result] => loss
        )

    [6.5] => Array
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            [take_profit] => 0.933
            [stop_loss] => 1.023
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-01 12:15:00
            [result] => loss
        )

    [7] => Array
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            [stop_loss] => 1.023
            [rr_ratio] => 7
            [closed_at] => 2025-07-01 12:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0197
            [max_drawdown] => 0.0245
            [rr_ratio] => 0.8
            [high] => 1.03520000
            [low] => 0.99100000
            [mfe_pct] => 1.95
            [mae_pct] => 2.42
            [mfe_mae_ratio] => 0.8
            [candles_analyzed] => 24
            [start_at] => 2025-07-01T10:56:09-04:00
            [end_at] => 2025-07-01T12:56:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0228
            [max_drawdown] => 0.0245
            [rr_ratio] => 0.93
            [high] => 1.03520000
            [low] => 0.98790000
            [mfe_pct] => 2.26
            [mae_pct] => 2.42
            [mfe_mae_ratio] => 0.93
            [candles_analyzed] => 72
            [start_at] => 2025-07-01T10:56:09-04:00
            [end_at] => 2025-07-01T16:56:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.01750000
            [high_after] => 1.03520000
            [low_before] => 0.96310000
            [low_after] => 0.98790000
            [is_new_high] => 
            [is_new_low] => 
        )

)