Short Trade on GRASS 15 Sep 2025 at 16:24:17

Take profit at 0.7648 (0.88 %) and Stop Loss at 0.775 (0.44 %)

Short Trade on GRASS

The 15 Sep 2025 at 16:24:17

With 2347.3157 GRASS at 0.7716$ per unit.

Position size of 1811.1888 $

Take profit at 0.7648 (0.88 %) and Stop Loss at 0.775 (0.44 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 80
ML Pullback Score: 7.52
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
0 0.69
Prediction 3 Probability
0 0.81
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.676197

15m : 0.028637

1H : 0.128477

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.002272098861
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.766405
  4. ema21 : 0.773662
  5. ema50 : 0.791492
  6. ema100 : 0.806673
  7. price_ema9_diff : 0.00677815
  8. ema9_ema21_diff : -0.00938021
  9. ema21_ema50_diff : -0.022527
  10. price_ema100_diff : -0.0434791
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.19703
  14. ema_slope_21 : -0.2226
  15. ema_slope_50 : -0.179351
  16. ema_slope_100 : -0.120395
  17. rsi : 0.452246
  18. adx : 0.425712
  19. kc_percentage : 0.470012
  20. kc_width_percentage : 0.0577809
  21. volume_ema_diff : -0.589112
  22. volume_ema1 : 98044.499431618
  23. volume_ema2 : 238616.68480559
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.766655
  28. ema21 : 0.764317
  29. ema50 : 0.766939
  30. ema100 : 0.774421
  31. price_ema9_diff : 0.00644885
  32. ema9_ema21_diff : 0.00306001
  33. ema21_ema50_diff : -0.00341955
  34. price_ema100_diff : -0.00364301
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.091191
  38. ema_slope_21 : 0.046287
  39. ema_slope_50 : -0.00725238
  40. ema_slope_100 : -0.0253758
  41. rsi : 0.592612
  42. adx : 0.190802
  43. kc_percentage : 0.868488
  44. kc_width_percentage : 0.0253519
  45. volume_ema_diff : -0.732838
  46. volume_ema1 : 12800.328233487
  47. volume_ema2 : 47912.279133621
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.768865
  52. ema21 : 0.766932
  53. ema50 : 0.76426
  54. ema100 : 0.762593
  55. price_ema9_diff : 0.00355652
  56. ema9_ema21_diff : 0.00252091
  57. ema21_ema50_diff : 0.00349597
  58. price_ema100_diff : 0.0118109
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0431969
  62. ema_slope_21 : 0.0333063
  63. ema_slope_50 : 0.0250608
  64. ema_slope_100 : 0.0155809
  65. rsi : 0.650556
  66. adx : 0.223405
  67. kc_percentage : 1.02587
  68. kc_width_percentage : 0.011178
  69. volume_ema_diff : -0.532135
  70. volume_ema1 : 4057.9799546643
  71. volume_ema2 : 8673.4076781965
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114947
  77. 5m_price_ema100_diff:
    0.00288227
  78. 5m_price:
    115278
  79. 5m_correlation_with_coin:
    0.676197
  80. btc_indicators
  81. 15m_ema100:
    115188
  82. 15m_price_ema100_diff:
    0.00201137
  83. 15m_price:
    115420
  84. 15m_correlation_with_coin:
    0.028637
  85. btc_indicators
  86. 1H_ema100:
    115314
  87. 1H_price_ema100_diff:
    -0.000314414
  88. 1H_price:
    115278
  89. 1H_correlation_with_coin:
    0.128477
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:24:17
15 Sep 2025
19:05:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7716 0.775 0.7648 2 0.2245
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 0.7716
  • Stop Loss: 0.775
  • Take Profit: 0.7648

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.775 - 0.7716 = 0.0034000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7716 - 0.7648 = 0.0067999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0067999999999999 / 0.0034000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1811.1888 100 2347.3157 18.11
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 0.0034000000000001

Taille de position = 8 / 0.0034000000000001 = 2352.94

Taille de position USD = 2352.94 x 0.7716 = 1815.53

Donc, tu peux acheter 2352.94 avec un stoploss a 0.775

Avec un position size USD de 1815.53$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2352.94 x 0.0034000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2352.94 x 0.0067999999999999 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 2352.94
  • Taille de position USD 1815.53
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.88 % 15.96 $
SL % Target SL $ Target
0.44 % 7.98 $
PNL PNL %
15.96 $ 0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1296 % 29.41 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.7648
            [stop_loss] => 0.775
            [rr_ratio] => 2
            [closed_at] => 2025-09-15 19:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.7631
            [stop_loss] => 0.775
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-15 20:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.7614
            [stop_loss] => 0.775
            [rr_ratio] => 3
            [closed_at] => 2025-09-15 20:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.7597
            [stop_loss] => 0.775
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-15 20:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.758
            [stop_loss] => 0.775
            [rr_ratio] => 4
            [closed_at] => 2025-09-15 20:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0044
            [max_drawdown] => 0.001
            [rr_ratio] => 4.4
            [high] => 0.77260000
            [low] => 0.76720000
            [mfe_pct] => 0.57
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 4.4
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:24:17-04:00
            [end_at] => 2025-09-15T18:24:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0141
            [max_drawdown] => 0.001
            [rr_ratio] => 14.1
            [high] => 0.77260000
            [low] => 0.75750000
            [mfe_pct] => 1.83
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 14.1
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:24:17-04:00
            [end_at] => 2025-09-15T23:24:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.77250000
            [high_after] => 0.77260000
            [low_before] => 0.75200000
            [low_after] => 0.75750000
            [is_new_high] => 
            [is_new_low] => 
        )

)