Long Trade on GRASS 28 Sep 2025 at 23:36:45

Take profit at 0.9864 (3.82 %) and Stop Loss at 0.932 (1.91 %)

Long Trade on GRASS

The 28 Sep 2025 at 23:36:45

With 441.0582 GRASS at 0.9501$ per unit.

Position size of 419.0494 $

Take profit at 0.9864 (3.82 %) and Stop Loss at 0.932 (1.91 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.65
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.77
Prediction 3 Probability
0 0.8
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high_confirmed

15m_regime : bull_high

5m_regime : bear_high

BTC Correlation Score

5m : 0.201489

15m : -0.033406

1H : 0.000937

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.01209213028
Details
  1. score: 2.02
  2. 1H
  3. ema9 : 0.942873
  4. ema21 : 0.907188
  5. ema50 : 0.883255
  6. ema100 : 0.873096
  7. price_ema9_diff : 0.00766475
  8. ema9_ema21_diff : 0.039335
  9. ema21_ema50_diff : 0.0270967
  10. price_ema100_diff : 0.0881959
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : 1.04862
  14. ema_slope_21 : 0.555771
  15. ema_slope_50 : 0.249554
  16. ema_slope_100 : 0.127662
  17. rsi : 0.617294
  18. adx : 0.380429
  19. kc_percentage : 0.814832
  20. kc_width_percentage : 0.137646
  21. volume_ema_diff : 1.28266
  22. volume_ema1 : 1826935.8460845
  23. volume_ema2 : 800351.23720532
  24. chop : 6.65324
  25. regime : bull_high_confirmed
  26. ¸
  27. 15m
  28. ema9 : 0.972516
  29. ema21 : 0.961606
  30. ema50 : 0.923649
  31. ema100 : 0.893964
  32. price_ema9_diff : -0.0230504
  33. ema9_ema21_diff : 0.0113461
  34. ema21_ema50_diff : 0.0410947
  35. price_ema100_diff : 0.0627943
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.177058
  39. ema_slope_21 : 0.406793
  40. ema_slope_50 : 0.365236
  41. ema_slope_100 : 0.244932
  42. rsi : 0.494345
  43. adx : 0.466485
  44. kc_percentage : 0.345159
  45. kc_width_percentage : 0.0885631
  46. volume_ema_diff : 0.513
  47. volume_ema1 : 518771.45017692
  48. volume_ema2 : 342876.01097484
  49. chop : 35.3991
  50. regime : bull_high
  51. ¸
  52. 5m
  53. ema9 : 0.962236
  54. ema21 : 0.974094
  55. ema50 : 0.969561
  56. ema100 : 0.945697
  57. price_ema9_diff : -0.0126123
  58. ema9_ema21_diff : -0.0121739
  59. ema21_ema50_diff : 0.00467493
  60. price_ema100_diff : 0.004655
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : -0.241446
  64. ema_slope_21 : -0.156949
  65. ema_slope_50 : -0.00911501
  66. ema_slope_100 : 0.0554309
  67. rsi : 0.343716
  68. adx : 0.284854
  69. kc_percentage : -0.017293
  70. kc_width_percentage : 0.0477502
  71. volume_ema_diff : -0.0954248
  72. volume_ema1 : 155092.81255895
  73. volume_ema2 : 171453.76511589
  74. chop : 51.3971
  75. regime : bear_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    111476
  80. 5m_price_ema100_diff:
    0.00184991
  81. 5m_price:
    111682
  82. 5m_correlation_with_coin:
    0.201489
  83. btc_indicators
  84. 15m_ema100:
    110560
  85. 15m_price_ema100_diff:
    0.0101478
  86. 15m_price:
    111682
  87. 15m_correlation_with_coin:
    -0.033406
  88. btc_indicators
  89. 1H_ema100:
    110397
  90. 1H_price_ema100_diff:
    0.0116365
  91. 1H_price:
    111682
  92. 1H_correlation_with_coin:
    0.000937
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
28 Sep 2025
23:36:45
29 Sep 2025
01:05:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.9501 0.932 0.9864 2.01 0.2282
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 0.9501
  • Stop Loss: 0.932
  • Take Profit: 0.9864

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.932 - 0.9501 = -0.0181

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.9501 - 0.9864 = -0.0363

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0363 / -0.0181 = 2.0055

📌 Position Size

Amount Margin Quantity Leverage
419.0494 100 441.0582 4.19
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 -0.0181

Taille de position = 8 / -0.0181 = -441.99

Taille de position USD = -441.99 x 0.9501 = -419.93

Donc, tu peux acheter -441.99 avec un stoploss a 0.932

Avec un position size USD de -419.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -441.99 x -0.0181 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -441.99 x -0.0363 = 16.04

Si Take Profit atteint, tu gagneras 16.04$

Résumé

  • Taille de position -441.99
  • Taille de position USD -419.93
  • Perte potentielle 8
  • Gain potentiel 16.04
  • Risk-Reward Ratio 2.0055

📌 Peformances

TP % Target TP $ Target
3.82 % 16.01 $
SL % Target SL $ Target
1.91 % 7.98 $
PNL PNL %
-7.98 $ -1.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.5155 % 132.04 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.9864
            [entry_price] => 0.9501
            [stop_loss] => 0.93019
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 01:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.9864
            [entry_price] => 0.9501
            [stop_loss] => 0.92838
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 01:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.9864
            [entry_price] => 0.9501
            [stop_loss] => 0.92657
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 01:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.9864
            [entry_price] => 0.9501
            [stop_loss] => 0.92295
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 01:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0211
            [max_drawdown] => 0.0371
            [rr_ratio] => 0.57
            [high] => 0.97120000
            [low] => 0.91300000
            [mfe_pct] => 2.22
            [mae_pct] => 3.9
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 24
            [start_at] => 2025-09-28T23:36:45-04:00
            [end_at] => 2025-09-29T01:36:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0211
            [max_drawdown] => 0.0633
            [rr_ratio] => 0.33
            [high] => 0.97120000
            [low] => 0.88680000
            [mfe_pct] => 2.22
            [mae_pct] => 6.66
            [mfe_mae_ratio] => 0.33
            [candles_analyzed] => 84
            [start_at] => 2025-09-28T23:36:45-04:00
            [end_at] => 2025-09-29T06:36:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.04750000
            [high_after] => 0.97120000
            [low_before] => 0.92990000
            [low_after] => 0.88680000
            [is_new_high] => 
            [is_new_low] => 
        )

)