Short Trade on CUDIS 26 Sep 2025 at 18:30:05

Take profit at 0.07183 (2.66 %) and Stop Loss at 0.07477 (1.33 %)

Short Trade on CUDIS

The 26 Sep 2025 at 18:30:05

With 8158.6306 CUDIS at 0.07379$ per unit.

Position size of 602.0254 $

Take profit at 0.07183 (2.66 %) and Stop Loss at 0.07477 (1.33 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.54
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.55
Prediction 2 Probability
0 0.76
Prediction 3 Probability
1 0.5
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_confirmed

BTC Correlation Score

5m : -0.131428

15m : -0.248643

1H : 0.038403

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.33
  4. atr: 0.0006537044755
Details
  1. score: 1.33
  2. 1H
  3. ema9 : 0.074251
  4. ema21 : 0.0782483
  5. ema50 : 0.0819813
  6. ema100 : 0.0854319
  7. price_ema9_diff : -0.00620951
  8. ema9_ema21_diff : -0.0510847
  9. ema21_ema50_diff : -0.0455351
  10. price_ema100_diff : -0.136271
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -1.65341
  14. ema_slope_21 : -0.896958
  15. ema_slope_50 : -0.448687
  16. ema_slope_100 : -0.276108
  17. rsi : 0.419836
  18. adx : 0.235962
  19. kc_percentage : 0.295158
  20. kc_width_percentage : 0.280463
  21. volume_ema_diff : -0.467053
  22. volume_ema1 : 326325.64845927
  23. volume_ema2 : 612304.39823769
  24. chop : 17.2394
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0717612
  29. ema21 : 0.072382
  30. ema50 : 0.0762796
  31. ema100 : 0
  32. price_ema9_diff : 0.0282706
  33. ema9_ema21_diff : -0.00857608
  34. ema21_ema50_diff : -0.0510969
  35. price_ema100_diff : 0
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0479142
  39. ema_slope_21 : -0.275743
  40. ema_slope_50 : -0.344526
  41. ema_slope_100 : -0.231766
  42. rsi : 0.522983
  43. adx : 0.234213
  44. kc_percentage : 0.740415
  45. kc_width_percentage : 0.0864401
  46. volume_ema_diff : -0.686892
  47. volume_ema1 : 56836.969230717
  48. volume_ema2 : 181525.4188681
  49. chop : 52.4063
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.0724043
  54. ema21 : 0.0716945
  55. ema50 : 0.0716531
  56. ema100 : 0.0728018
  57. price_ema9_diff : 0.0191377
  58. ema9_ema21_diff : 0.00990012
  59. ema21_ema50_diff : 0.000577719
  60. price_ema100_diff : 0.0135737
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.199897
  64. ema_slope_21 : 0.15172
  65. ema_slope_50 : 0.0383074
  66. ema_slope_100 : -0.0203178
  67. rsi : 0.743219
  68. adx : 0.314644
  69. kc_percentage : 1.32558
  70. kc_width_percentage : 0.0337416
  71. volume_ema_diff : -0.175028
  72. volume_ema1 : 22239.226541311
  73. volume_ema2 : 26957.582893283
  74. chop : 41.8656
  75. regime : bull_high_confirmed
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109378
  80. 5m_price_ema100_diff:
    0.000577221
  81. 5m_price:
    109441
  82. 5m_correlation_with_coin:
    -0.131428
  83. btc_indicators
  84. 15m_ema100:
    109342
  85. 15m_price_ema100_diff:
    0.000899697
  86. 15m_price:
    109441
  87. 15m_correlation_with_coin:
    -0.248643
  88. btc_indicators
  89. 1H_ema100:
    110944
  90. 1H_price_ema100_diff:
    -0.0135532
  91. 1H_price:
    109441
  92. 1H_correlation_with_coin:
    0.038403
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
26 Sep 2025
18:30:05
26 Sep 2025
18:40:00
9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07379 0.07477 0.07183 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 0.07379
  • Stop Loss: 0.07477
  • Take Profit: 0.07183

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07477 - 0.07379 = 0.00098000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07379 - 0.07183 = 0.00196

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00196 / 0.00098000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
602.0254 100 8158.6306 6.02
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 0.00098000000000001

Taille de position = 8 / 0.00098000000000001 = 8163.27

Taille de position USD = 8163.27 x 0.07379 = 602.37

Donc, tu peux acheter 8163.27 avec un stoploss a 0.07477

Avec un position size USD de 602.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8163.27 x 0.00098000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8163.27 x 0.00196 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8163.27
  • Taille de position USD 602.37
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.66 % 15.99 $
SL % Target SL $ Target
1.33 % 8 $
PNL PNL %
-8 $ -1.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.6262 % 122.45 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.07183
            [entry_price] => 0.07379
            [stop_loss] => 0.074868
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-26 18:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.07183
            [entry_price] => 0.07379
            [stop_loss] => 0.074966
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-26 18:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.07183
            [entry_price] => 0.07379
            [stop_loss] => 0.075064
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-26 19:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.07183
            [entry_price] => 0.07379
            [stop_loss] => 0.07526
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-26 19:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00043
            [max_drawdown] => 0.00258
            [rr_ratio] => 0.17
            [high] => 0.07637000
            [low] => 0.07336000
            [mfe_pct] => 0.58
            [mae_pct] => 3.5
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 24
            [start_at] => 2025-09-26T18:30:05-04:00
            [end_at] => 2025-09-26T20:30:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00681
            [max_drawdown] => 0.00291
            [rr_ratio] => 2.34
            [high] => 0.07670000
            [low] => 0.06698000
            [mfe_pct] => 9.23
            [mae_pct] => 3.94
            [mfe_mae_ratio] => 2.34
            [candles_analyzed] => 84
            [start_at] => 2025-09-26T18:30:05-04:00
            [end_at] => 2025-09-27T01:30:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07498000
            [high_after] => 0.07670000
            [low_before] => 0.06602000
            [low_after] => 0.06698000
            [is_new_high] => 
            [is_new_low] => 
        )

)