Short Trade on SUI 16 Sep 2025 at 01:59:43

Take profit at 3.5006 (0.67 %) and Stop Loss at 3.536 (0.33 %)

Short Trade on SUI

The 16 Sep 2025 at 01:59:43

With 679.3053 SUI at 3.5242$ per unit.

Position size of 2394.0078 $

Take profit at 3.5006 (0.67 %) and Stop Loss at 3.536 (0.33 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.44
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.87
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.780615

15m : 0.005367

1H : 0.096741

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.007851157829
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 3.51192
  4. ema21 : 3.53353
  5. ema50 : 3.59689
  6. ema100 : 3.6412
  7. price_ema9_diff : 0.00349444
  8. ema9_ema21_diff : -0.00611533
  9. ema21_ema50_diff : -0.0176139
  10. price_ema100_diff : -0.0321347
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0280348
  14. ema_slope_21 : -0.115768
  15. ema_slope_50 : -0.122522
  16. ema_slope_100 : -0.0809183
  17. rsi : 0.434264
  18. adx : 0.473488
  19. kc_percentage : 0.444851
  20. kc_width_percentage : 0.035209
  21. volume_ema_diff : -0.405478
  22. volume_ema1 : 4430422.8925947
  23. volume_ema2 : 7452076.6815053
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 3.50825
  28. ema21 : 3.5088
  29. ema50 : 3.51529
  30. ema100 : 3.5442
  31. price_ema9_diff : 0.00454522
  32. ema9_ema21_diff : -0.00015591
  33. ema21_ema50_diff : -0.00184827
  34. price_ema100_diff : -0.00564511
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0196836
  38. ema_slope_21 : -0.0174431
  39. ema_slope_50 : -0.0156968
  40. ema_slope_100 : -0.0253918
  41. rsi : 0.542239
  42. adx : 0.19702
  43. kc_percentage : 0.757784
  44. kc_width_percentage : 0.0170539
  45. volume_ema_diff : -0.289386
  46. volume_ema1 : 914796.54302968
  47. volume_ema2 : 1287332.7843507
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 3.51385
  52. ema21 : 3.50851
  53. ema50 : 3.50859
  54. ema100 : 3.51166
  55. price_ema9_diff : 0.00294377
  56. ema9_ema21_diff : 0.00152107
  57. ema21_ema50_diff : -2.05105E-5
  58. price_ema100_diff : 0.00357089
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.039189
  62. ema_slope_21 : 0.0203854
  63. ema_slope_50 : 0.00421511
  64. ema_slope_100 : -0.000351725
  65. rsi : 0.653015
  66. adx : 0.133287
  67. kc_percentage : 1.00639
  68. kc_width_percentage : 0.00867541
  69. volume_ema_diff : -0.0351645
  70. volume_ema1 : 330764.16473442
  71. volume_ema2 : 342819.26104187
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115336
  77. 5m_price_ema100_diff:
    0.00438058
  78. 5m_price:
    115842
  79. 5m_correlation_with_coin:
    0.780615
  80. btc_indicators
  81. 15m_ema100:
    115318
  82. 15m_price_ema100_diff:
    0.00397332
  83. 15m_price:
    115777
  84. 15m_correlation_with_coin:
    0.005367
  85. btc_indicators
  86. 1H_ema100:
    115412
  87. 1H_price_ema100_diff:
    0.00372537
  88. 1H_price:
    115842
  89. 1H_correlation_with_coin:
    0.096741
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
01:59:43
16 Sep 2025
03:45:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.5242 3.536 3.5006 2 0.8925
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 3.5242
  • Stop Loss: 3.536
  • Take Profit: 3.5006

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.536 - 3.5242 = 0.0118

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.5242 - 3.5006 = 0.0236

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0236 / 0.0118 = 2

📌 Position Size

Amount Margin Quantity Leverage
2394.0078 100 679.3053 23.94
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 0.0118

Taille de position = 8 / 0.0118 = 677.97

Taille de position USD = 677.97 x 3.5242 = 2389.3

Donc, tu peux acheter 677.97 avec un stoploss a 3.536

Avec un position size USD de 2389.3$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 677.97 x 0.0118 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 677.97 x 0.0236 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 677.97
  • Taille de position USD 2389.3
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.67 % 16.03 $
SL % Target SL $ Target
0.33 % 8.02 $
PNL PNL %
-8.02 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3717 % 111.02 % 10

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.5006
            [entry_price] => 3.5242
            [stop_loss] => 3.53718
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 03:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.5006
            [entry_price] => 3.5242
            [stop_loss] => 3.53836
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 04:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.5006
            [entry_price] => 3.5242
            [stop_loss] => 3.53954
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 04:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.5006
            [entry_price] => 3.5242
            [stop_loss] => 3.5419
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 04:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0215
            [max_drawdown] => 0.0134
            [rr_ratio] => 1.6
            [high] => 3.53760000
            [low] => 3.50270000
            [mfe_pct] => 0.61
            [mae_pct] => 0.38
            [mfe_mae_ratio] => 1.6
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T01:59:43-04:00
            [end_at] => 2025-09-16T03:59:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0215
            [max_drawdown] => 0.0824
            [rr_ratio] => 0.26
            [high] => 3.60660000
            [low] => 3.50270000
            [mfe_pct] => 0.61
            [mae_pct] => 2.34
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T01:59:43-04:00
            [end_at] => 2025-09-16T08:59:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.52750000
            [high_after] => 3.58070000
            [low_before] => 3.46730000
            [low_after] => 3.50270000
            [is_new_high] => 
            [is_new_low] => 
        )

)