Short Trade on SUSHI 22 Sep 2025 at 18:31:11

Take profit at 0.6753 (0.56 %) and Stop Loss at 0.681 (0.28 %)

Short Trade on SUSHI

The 22 Sep 2025 at 18:31:11

With 4217.0228 SUSHI at 0.6791$ per unit.

Position size of 2863.7802 $

Take profit at 0.6753 (0.56 %) and Stop Loss at 0.681 (0.28 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.54
Prediction Score: 5
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
2 0.72
Prediction 3 Probability
1 0.66
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.593377

15m : 0.025573

1H : -0.031802

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.001264715319
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.675368
  4. ema21 : 0.688502
  5. ema50 : 0.719381
  6. ema100 : 0.748193
  7. price_ema9_diff : 0.0055256
  8. ema9_ema21_diff : -0.0190769
  9. ema21_ema50_diff : -0.0429234
  10. price_ema100_diff : -0.0923468
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.218548
  14. ema_slope_21 : -0.371069
  15. ema_slope_50 : -0.315688
  16. ema_slope_100 : -0.219993
  17. rsi : 0.380866
  18. adx : 0.680337
  19. kc_percentage : 0.29548
  20. kc_width_percentage : 0.0582318
  21. volume_ema_diff : -0.551833
  22. volume_ema1 : 105984.02000935
  23. volume_ema2 : 236483.56552033
  24. chop : 77.7605
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.676319
  29. ema21 : 0.673925
  30. ema50 : 0.677735
  31. ema100 : 0.693183
  32. price_ema9_diff : 0.00411139
  33. ema9_ema21_diff : 0.00355253
  34. ema21_ema50_diff : -0.00562218
  35. price_ema100_diff : -0.0203168
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0990827
  39. ema_slope_21 : 0.0400756
  40. ema_slope_50 : -0.0235353
  41. ema_slope_100 : -0.0611081
  42. rsi : 0.615336
  43. adx : 0.235612
  44. kc_percentage : 0.973491
  45. kc_width_percentage : 0.0158681
  46. volume_ema_diff : -0.766106
  47. volume_ema1 : 11635.982524713
  48. volume_ema2 : 49749.042035831
  49. chop : 40.3408
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.678243
  54. ema21 : 0.676489
  55. ema50 : 0.673915
  56. ema100 : 0.67356
  57. price_ema9_diff : 0.00126328
  58. ema9_ema21_diff : 0.0025925
  59. ema21_ema50_diff : 0.0038197
  60. price_ema100_diff : 0.00822346
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0424068
  64. ema_slope_21 : 0.0499642
  65. ema_slope_50 : 0.033765
  66. ema_slope_100 : 0.0159814
  67. rsi : 0.693074
  68. adx : 0.364755
  69. kc_percentage : 1.03998
  70. kc_width_percentage : 0.00671588
  71. volume_ema_diff : -0.749613
  72. volume_ema1 : 2371.1243136443
  73. volume_ema2 : 9469.8380101298
  74. chop : 59.0439
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112642
  80. 5m_price_ema100_diff:
    -0.00035082
  81. 5m_price:
    112603
  82. 5m_correlation_with_coin:
    0.593377
  83. btc_indicators
  84. 15m_ema100:
    113233
  85. 15m_price_ema100_diff:
    -0.00556608
  86. 15m_price:
    112603
  87. 15m_correlation_with_coin:
    0.025573
  88. btc_indicators
  89. 1H_ema100:
    114941
  90. 1H_price_ema100_diff:
    -0.0203427
  91. 1H_price:
    112603
  92. 1H_correlation_with_coin:
    -0.031802
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
18:31:11
22 Sep 2025
19:25:00
53 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6791 0.681 0.6753 2 0.2131
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 0.6791
  • Stop Loss: 0.681
  • Take Profit: 0.6753

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.681 - 0.6791 = 0.0019

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6791 - 0.6753 = 0.0038

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0038 / 0.0019 = 2

📌 Position Size

Amount Margin Quantity Leverage
2863.7802 100 4217.0228 28.64
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 0.0019

Taille de position = 8 / 0.0019 = 4210.53

Taille de position USD = 4210.53 x 0.6791 = 2859.37

Donc, tu peux acheter 4210.53 avec un stoploss a 0.681

Avec un position size USD de 2859.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4210.53 x 0.0019 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4210.53 x 0.0038 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4210.53
  • Taille de position USD 2859.37
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.56 % 16.02 $
SL % Target SL $ Target
0.28 % 8.01 $
PNL PNL %
-8.01 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3534 % 126.3 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.6753
            [entry_price] => 0.6791
            [stop_loss] => 0.68119
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 19:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.6753
            [entry_price] => 0.6791
            [stop_loss] => 0.68138
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 19:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.6753
            [entry_price] => 0.6791
            [stop_loss] => 0.68157
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 19:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.6753
            [entry_price] => 0.6791
            [stop_loss] => 0.68195
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 19:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0022000000000001
            [max_drawdown] => 0.006
            [rr_ratio] => 0.37
            [high] => 0.68510000
            [low] => 0.67690000
            [mfe_pct] => 0.32
            [mae_pct] => 0.88
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T18:31:11-04:00
            [end_at] => 2025-09-22T20:31:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0124
            [max_drawdown] => 0.006
            [rr_ratio] => 2.07
            [high] => 0.68510000
            [low] => 0.66670000
            [mfe_pct] => 1.83
            [mae_pct] => 0.88
            [mfe_mae_ratio] => 2.07
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T18:31:11-04:00
            [end_at] => 2025-09-23T01:31:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.67990000
            [high_after] => 0.68510000
            [low_before] => 0.66190000
            [low_after] => 0.66670000
            [is_new_high] => 
            [is_new_low] => 
        )

)