Short Trade on GRASS 25 Sep 2025 at 18:14:39

Take profit at 0.7872 (1.62 %) and Stop Loss at 0.8067 (0.81 %)

Short Trade on GRASS

The 25 Sep 2025 at 18:14:39

With 1232.5534 GRASS at 0.8002$ per unit.

Position size of 986.2893 $

Take profit at 0.7872 (1.62 %) and Stop Loss at 0.8067 (0.81 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 90
ML Pullback Score: 9.12
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.94
Prediction 2 Probability
0 0.6
Prediction 3 Probability
0 0.75
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium

BTC Correlation Score

5m : 0.472054

15m : 0.146203

1H : -0.087833

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.004327060563
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.804466
  4. ema21 : 0.823338
  5. ema50 : 0.835074
  6. ema100 : 0.842278
  7. price_ema9_diff : -0.00530334
  8. ema9_ema21_diff : -0.0229216
  9. ema21_ema50_diff : -0.0140542
  10. price_ema100_diff : -0.0499577
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.428068
  14. ema_slope_21 : -0.361341
  15. ema_slope_50 : -0.16198
  16. ema_slope_100 : -0.0882108
  17. rsi : 0.410023
  18. adx : 0.274738
  19. kc_percentage : 0.247589
  20. kc_width_percentage : 0.108852
  21. volume_ema_diff : -0.493872
  22. volume_ema1 : 280474.62419401
  23. volume_ema2 : 554158.0258334
  24. chop : 53.1066
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.791907
  29. ema21 : 0.797901
  30. ema50 : 0.814008
  31. ema100 : 0.836093
  32. price_ema9_diff : 0.0104712
  33. ema9_ema21_diff : -0.00751141
  34. ema21_ema50_diff : -0.019788
  35. price_ema100_diff : -0.0429302
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.161734
  39. ema_slope_21 : -0.163765
  40. ema_slope_50 : -0.144715
  41. ema_slope_100 : -0.120647
  42. rsi : 0.492932
  43. adx : 0.267916
  44. kc_percentage : 0.572635
  45. kc_width_percentage : 0.0493875
  46. volume_ema_diff : -0.481228
  47. volume_ema1 : 66308.299110306
  48. volume_ema2 : 127817.85858213
  49. chop : 48.6937
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.79243
  54. ema21 : 0.790518
  55. ema50 : 0.795428
  56. ema100 : 0.804488
  57. price_ema9_diff : 0.00980426
  58. ema9_ema21_diff : 0.00241937
  59. ema21_ema50_diff : -0.00617284
  60. price_ema100_diff : -0.00533071
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0827824
  64. ema_slope_21 : 0.0160902
  65. ema_slope_50 : -0.0319609
  66. ema_slope_100 : -0.0399814
  67. rsi : 0.628345
  68. adx : 0.220534
  69. kc_percentage : 1.07503
  70. kc_width_percentage : 0.0211085
  71. volume_ema_diff : -0.238987
  72. volume_ema1 : 22718.057350298
  73. volume_ema2 : 29852.406641221
  74. chop : 44.1176
  75. regime : range_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109874
  80. 5m_price_ema100_diff:
    -0.00411518
  81. 5m_price:
    109422
  82. 5m_correlation_with_coin:
    0.472054
  83. btc_indicators
  84. 15m_ema100:
    111172
  85. 15m_price_ema100_diff:
    -0.0157419
  86. 15m_price:
    109422
  87. 15m_correlation_with_coin:
    0.146203
  88. btc_indicators
  89. 1H_ema100:
    112511
  90. 1H_price_ema100_diff:
    -0.0274581
  91. 1H_price:
    109422
  92. 1H_correlation_with_coin:
    -0.087833
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
25 Sep 2025
18:14:39
25 Sep 2025
18:45:00
30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.8002 0.8067 0.7872 2 0.2269
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 0.8002
  • Stop Loss: 0.8067
  • Take Profit: 0.7872

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.8067 - 0.8002 = 0.0065

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.8002 - 0.7872 = 0.013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.013 / 0.0065 = 2

📌 Position Size

Amount Margin Quantity Leverage
986.2893 100 1232.5534 9.86
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 0.0065

Taille de position = 8 / 0.0065 = 1230.77

Taille de position USD = 1230.77 x 0.8002 = 984.86

Donc, tu peux acheter 1230.77 avec un stoploss a 0.8067

Avec un position size USD de 984.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1230.77 x 0.0065 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1230.77 x 0.013 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1230.77
  • Taille de position USD 984.86
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.62 % 16.02 $
SL % Target SL $ Target
0.81 % 8.01 $
PNL PNL %
16.02 $ 1.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4749 % 58.46 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.7872
            [stop_loss] => 0.8067
            [rr_ratio] => 2
            [closed_at] => 2025-09-25 18:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.78395
            [stop_loss] => 0.8067
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-25 19:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.7807
            [stop_loss] => 0.8067
            [rr_ratio] => 3
            [closed_at] => 2025-09-25 19:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.77745
            [stop_loss] => 0.8067
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-25 19:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.7742
            [stop_loss] => 0.8067
            [rr_ratio] => 4
            [closed_at] => 2025-09-25 19:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.77095
            [stop_loss] => 0.8067
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-25 19:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.032
            [max_drawdown] => 0.0038
            [rr_ratio] => 8.42
            [high] => 0.80400000
            [low] => 0.76820000
            [mfe_pct] => 4
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 8.42
            [candles_analyzed] => 24
            [start_at] => 2025-09-25T18:14:39-04:00
            [end_at] => 2025-09-25T20:14:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0342
            [max_drawdown] => 0.0061
            [rr_ratio] => 5.61
            [high] => 0.80630000
            [low] => 0.76600000
            [mfe_pct] => 4.27
            [mae_pct] => 0.76
            [mfe_mae_ratio] => 5.61
            [candles_analyzed] => 84
            [start_at] => 2025-09-25T18:14:39-04:00
            [end_at] => 2025-09-26T01:14:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.81690000
            [high_after] => 0.80630000
            [low_before] => 0.77380000
            [low_after] => 0.76820000
            [is_new_high] => 
            [is_new_low] => 1
        )

)