Short Trade on CATI

The 14 Oct 2025 at 10:50:37

With 9529.8492 CATI at 0.07765$ per unit.

Position size of 739.9928 $

Take profit at 0.07597 (2.16 %) and Stop Loss at 0.07849 (1.08 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.45
Prediction Score: 5
Prediction 1 Probability
Strong Trade
0.78
Prediction 2 Probability
1 0.5
Prediction 3 Probability
0 0.81
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high_confirmed

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.659869

15m : -0.124046

1H : 0.100785

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0005596450892
Details
  1. score: 1
  2. 1H
  3. ema9 - 0.0763818
  4. ema21 - 0.078328
  5. ema50 - 0.0798879
  6. ema100 - 0.0802474
  7. price_ema9_diff - 0.0166026
  8. ema9_ema21_diff - -0.024847
  9. ema21_ema50_diff - -0.0195253
  10. price_ema100_diff - -0.0323681
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.708345
  14. ema_slope_21 - -0.524558
  15. ema_slope_50 - -0.245267
  16. ema_slope_100 - -0.117887
  17. rsi - 0.453836
  18. adx - 0.32285
  19. kc_percentage - 0.439732
  20. kc_width_percentage - 0.116719
  21. volume_ema_diff - -0.377694
  22. volume_ema1 - 154146.17543951
  23. volume_ema2 - 247701.93234865
  24. chop - 32.029
  25. regime - bear_high
  26. ¸
  27. 15m
  28. ema9 - 0.0765327
  29. ema21 - 0.0759492
  30. ema50 - 0.0769962
  31. ema100 - 0.0791418
  32. price_ema9_diff - 0.0145977
  33. ema9_ema21_diff - 0.00768386
  34. ema21_ema50_diff - -0.013598
  35. price_ema100_diff - -0.0188504
  36. all_emas_in_trend - False
  37. all_emas_and_price_in_trend - False
  38. ema_slope_9 - 0.201983
  39. ema_slope_21 - 0.0867455
  40. ema_slope_50 - -0.0554976
  41. ema_slope_100 - -0.08589
  42. rsi - 0.635077
  43. adx - 0.313215
  44. kc_percentage - 0.908619
  45. kc_width_percentage - 0.0533644
  46. volume_ema_diff - -0.719442
  47. volume_ema1 - 14757.808293887
  48. volume_ema2 - 52601.766439827
  49. chop - 54.2537
  50. regime - range_high
  51. ¸
  52. 5m
  53. ema9 - 0.0770741
  54. ema21 - 0.0765017
  55. ema50 - 0.0758105
  56. ema100 - 0.075561
  57. price_ema9_diff - 0.00747119
  58. ema9_ema21_diff - 0.00748278
  59. ema21_ema50_diff - 0.0091165
  60. price_ema100_diff - 0.0276458
  61. all_emas_in_trend - True
  62. all_emas_and_price_in_trend - True
  63. ema_slope_9 - 0.154597
  64. ema_slope_21 - 0.121396
  65. ema_slope_50 - 0.0772212
  66. ema_slope_100 - 0.0406408
  67. rsi - 0.65859
  68. adx - 0.23658
  69. kc_percentage - 1.00036
  70. kc_width_percentage - 0.0285765
  71. volume_ema_diff - -0.609235
  72. volume_ema1 - 4864.4917476899
  73. volume_ema2 - 12448.648168082
  74. chop - 40.1389
  75. regime - bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100: 111311
  80. 5m_price_ema100_diff: 0.00353283
  81. 5m_price: 111704
  82. 5m_correlation_with_coin: 0.659869
  83. btc_indicators
  84. 15m_ema100: 112892
  85. 15m_price_ema100_diff: -0.0100402
  86. 15m_price: 111759
  87. 15m_correlation_with_coin: -0.124046
  88. btc_indicators
  89. 1H_ema100: 114438
  90. 1H_price_ema100_diff: -0.0238915
  91. 1H_price: 111704
  92. 1H_correlation_with_coin: 0.100785
  93. ¸

📌 Time Data

Start at Closed at Duration
14 Oct 2025
10:50:37
14 Oct 2025
11:00:00
9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07765 0.07849 0.07597 2 0.06074
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 0.07765
  • Stop Loss: 0.07849
  • Take Profit: 0.07597

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07849 - 0.07765 = 0.00084000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07765 - 0.07597 = 0.00168

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00168 / 0.00084000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
739.9928 100 9529.8492 7.40
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 0.00084000000000001

Taille de position = 8 / 0.00084000000000001 = 9523.81

Taille de position USD = 9523.81 x 0.07765 = 739.52

Donc, tu peux acheter 9523.81 avec un stoploss a 0.07849

Avec un position size USD de 739.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 9523.81 x 0.00084000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 9523.81 x 0.00168 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 9523.81
  • Taille de position USD 739.52
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.16 % 16.01 $
SL % Target SL $ Target
1.08 % 8.01 $
PNL PNL %
-8.01 $ -1.08
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0947 % 101.19 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.07597
            [entry_price] => 0.07765
            [stop_loss] => 0.078574
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-14 11:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.07597
            [entry_price] => 0.07765
            [stop_loss] => 0.078658
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-14 11:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.07597
            [entry_price] => 0.07765
            [stop_loss] => 0.078742
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-14 11:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.07597
            [entry_price] => 0.07765
            [stop_loss] => 0.07891
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-14 11:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00087999999999999
            [max_drawdown] => 0.00274
            [rr_ratio] => 0.32
            [high] => 0.08039000
            [low] => 0.07677000
            [mfe_pct] => 1.13
            [mae_pct] => 3.53
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 24
            [start_at] => 2025-10-14T10:50:37-04:00
            [end_at] => 2025-10-14T12:50:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00087999999999999
            [max_drawdown] => 0.00274
            [rr_ratio] => 0.32
            [high] => 0.08039000
            [low] => 0.07677000
            [mfe_pct] => 1.13
            [mae_pct] => 3.53
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 84
            [start_at] => 2025-10-14T10:50:37-04:00
            [end_at] => 2025-10-14T17:50:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07803000
            [high_after] => 0.08039000
            [low_before] => 0.07323000
            [low_after] => 0.07677000
            [is_new_high] => 
            [is_new_low] => 
        )

)