Short Trade on CUDIS 26 Sep 2025 at 19:00:28

Take profit at 0.0724 (2.71 %) and Stop Loss at 0.07543 (1.36 %)

Short Trade on CUDIS

The 26 Sep 2025 at 19:00:28

With 7934.0171 CUDIS at 0.07442$ per unit.

Position size of 590.4496 $

Take profit at 0.0724 (2.71 %) and Stop Loss at 0.07543 (1.36 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.99
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
0 0.55
Prediction 3 Probability
0 0.52
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 : bear_high

5m_regime : bull_high

BTC Correlation Score

5m : 0.386694

15m : 0.115072

1H : 0.062707

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0006722109693
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 0.0743584
  4. ema21 : 0.0779384
  5. ema50 : 0.0817179
  6. ema100 : 0.0853391
  7. price_ema9_diff : 0.000827744
  8. ema9_ema21_diff : -0.0459331
  9. ema21_ema50_diff : -0.046251
  10. price_ema100_diff : -0.12795
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -1.52094
  14. ema_slope_21 : -0.900179
  15. ema_slope_50 : -0.467909
  16. ema_slope_100 : -0.290969
  17. rsi : 0.429674
  18. adx : 0.226776
  19. kc_percentage : 0.327186
  20. kc_width_percentage : 0.256998
  21. volume_ema_diff : -0.55256
  22. volume_ema1 : 267120.67935507
  23. volume_ema2 : 596998.31517171
  24. chop : 17.4361
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0729163
  29. ema21 : 0.072807
  30. ema50 : 0.0759912
  31. ema100 : 0.0785969
  32. price_ema9_diff : 0.0206219
  33. ema9_ema21_diff : 0.00150141
  34. ema21_ema50_diff : -0.0419028
  35. price_ema100_diff : -0.0531442
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.333428
  39. ema_slope_21 : -0.0584733
  40. ema_slope_50 : -0.242402
  41. ema_slope_100 : -0.180072
  42. rsi : 0.547645
  43. adx : 0.223191
  44. kc_percentage : 0.798101
  45. kc_width_percentage : 0.0760544
  46. volume_ema_diff : -0.692717
  47. volume_ema1 : 52183.288244657
  48. volume_ema2 : 169821.96774062
  49. chop : 49.0012
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.0738737
  54. ema21 : 0.0729347
  55. ema50 : 0.0722686
  56. ema100 : 0.072873
  57. price_ema9_diff : 0.00739393
  58. ema9_ema21_diff : 0.0128742
  59. ema21_ema50_diff : 0.00921775
  60. price_ema100_diff : 0.0212274
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.262271
  64. ema_slope_21 : 0.217289
  65. ema_slope_50 : 0.100754
  66. ema_slope_100 : 0.0231973
  67. rsi : 0.680711
  68. adx : 0.393234
  69. kc_percentage : 1.04544
  70. kc_width_percentage : 0.0350327
  71. volume_ema_diff : -0.43666
  72. volume_ema1 : 15467.881462244
  73. volume_ema2 : 27457.460252865
  74. chop : 39.6944
  75. regime : bull_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109330
  80. 5m_price_ema100_diff:
    0.00155069
  81. 5m_price:
    109500
  82. 5m_correlation_with_coin:
    0.386694
  83. btc_indicators
  84. 15m_ema100:
    109358
  85. 15m_price_ema100_diff:
    0.00129707
  86. 15m_price:
    109500
  87. 15m_correlation_with_coin:
    0.115072
  88. btc_indicators
  89. 1H_ema100:
    111008
  90. 1H_price_ema100_diff:
    -0.0135916
  91. 1H_price:
    109500
  92. 1H_correlation_with_coin:
    0.062707
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
26 Sep 2025
19:00:28
26 Sep 2025
19:25:00
24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07442 0.07543 0.0724 2 0.0306
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 0.07442
  • Stop Loss: 0.07543
  • Take Profit: 0.0724

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07543 - 0.07442 = 0.00101

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07442 - 0.0724 = 0.00202

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00202 / 0.00101 = 2

📌 Position Size

Amount Margin Quantity Leverage
590.4496 100 7934.0171 5.90
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 0.00101

Taille de position = 8 / 0.00101 = 7920.79

Taille de position USD = 7920.79 x 0.07442 = 589.47

Donc, tu peux acheter 7920.79 avec un stoploss a 0.07543

Avec un position size USD de 589.47$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7920.79 x 0.00101 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7920.79 x 0.00202 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 7920.79
  • Taille de position USD 589.47
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.71 % 16.03 $
SL % Target SL $ Target
1.36 % 8.01 $
PNL PNL %
-8.01 $ -1.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.6125 % 118.81 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0724
            [entry_price] => 0.07442
            [stop_loss] => 0.075531
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-26 19:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0724
            [entry_price] => 0.07442
            [stop_loss] => 0.075632
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-26 19:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0724
            [entry_price] => 0.07442
            [stop_loss] => 0.075733
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-26 19:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0724
            [entry_price] => 0.07442
            [stop_loss] => 0.075935
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-26 19:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 9.0000000000007E-5
            [max_drawdown] => 0.00228
            [rr_ratio] => 0.04
            [high] => 0.07670000
            [low] => 0.07433000
            [mfe_pct] => 0.12
            [mae_pct] => 3.06
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 24
            [start_at] => 2025-09-26T19:00:28-04:00
            [end_at] => 2025-09-26T21:00:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00744
            [max_drawdown] => 0.00228
            [rr_ratio] => 3.26
            [high] => 0.07670000
            [low] => 0.06698000
            [mfe_pct] => 10
            [mae_pct] => 3.06
            [mfe_mae_ratio] => 3.26
            [candles_analyzed] => 84
            [start_at] => 2025-09-26T19:00:28-04:00
            [end_at] => 2025-09-27T02:00:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07499000
            [high_after] => 0.07670000
            [low_before] => 0.06642000
            [low_after] => 0.06698000
            [is_new_high] => 
            [is_new_low] => 
        )

)