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Long Trade on CATI

Long Trade on CATI

The 13 Oct 2025 at 18:09:08

With 15071.8871 CATI at 0.08395$ per unit.

Position size of 1265.2849 $

Take profit at 0.08501 (1.26 %) and Stop Loss at 0.08342 (0.63 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.24
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.87
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.72
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_high

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium
BTC Correlation Score

5m : 0.624626

15m : 0.123818

1H : -0.080962

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.0003538596934
Details
  1. score: 2.07
  2. 1H
  3. ema9 - 0.0845264
  4. ema21 - 0.0839285
  5. ema50 - 0.0821794
  6. ema100 - 0.0810879
  7. price_ema9_diff - -0.00682022
  8. ema9_ema21_diff - 0.00712492
  9. ema21_ema50_diff - 0.0212836
  10. price_ema100_diff - 0.035295
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.0579986
  14. ema_slope_21 - 0.145026
  15. ema_slope_50 - 0.153849
  16. ema_slope_100 - 0.0988877
  17. rsi - 0.516787
  18. adx - 0.214994
  19. kc_percentage - 0.494593
  20. kc_width_percentage - 0.0967082
  21. volume_ema_diff - -0.662322
  22. volume_ema1 - 85701.979746956
  23. volume_ema2 - 253797.98365585
  24. chop - 66.3108
  25. regime - bull_high
    26. ¸
  26. 15m
  27. ema9 - 0.0846389
  28. ema21 - 0.084749
  29. ema50 - 0.0845132
  30. ema100 - 0.0840519
  31. price_ema9_diff - -0.00814034
  32. ema9_ema21_diff - -0.00129859
  33. ema21_ema50_diff - 0.0027905
  34. price_ema100_diff - -0.00121306
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.0225254
  38. ema_slope_21 - 0.0108751
  39. ema_slope_50 - 0.0221196
  40. ema_slope_100 - 0.022934
  41. rsi - 0.436098
  42. adx - 0.12779
  43. kc_percentage - 0.236984
  44. kc_width_percentage - 0.0362469
  45. volume_ema_diff - -0.39057
  46. volume_ema1 - 22095.345464638
  47. volume_ema2 - 36255.786659709
  48. chop - 71.125
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0843798
  52. ema21 - 0.0847139
  53. ema50 - 0.0848143
  54. ema100 - 0.0847219
  55. price_ema9_diff - -0.00509446
  56. ema9_ema21_diff - -0.00394361
  57. ema21_ema50_diff - -0.00118416
  58. price_ema100_diff - -0.00911153
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - -0.0823939
  62. ema_slope_21 - -0.0437334
  63. ema_slope_50 - -0.0131277
  64. ema_slope_100 - -0.00242239
  65. rsi - 0.330719
  66. adx - 0.183205
  67. kc_percentage - -0.0665846
  68. kc_width_percentage - 0.0157494
  69. volume_ema_diff - -0.182197
  70. volume_ema1 - 7648.2342508887
  71. volume_ema2 - 9352.1735060004
  72. chop - 39.7395
  73. regime - bear_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 115169
  77. 5m_price_ema100_diff: 0.00455845
  78. 5m_price: 115694
  79. 5m_correlation_with_coin: 0.624626
  80. btc_indicators
  81. 15m_ema100: 114939
  82. 15m_price_ema100_diff: 0.00656893
  83. 15m_price: 115694
  84. 15m_correlation_with_coin: 0.123818
  85. btc_indicators
  86. 1H_ema100: 115162
  87. 1H_price_ema100_diff: 0.00462435
  88. 1H_price: 115694
  89. 1H_correlation_with_coin: -0.080962
    90. ¸

📌 Time Data

Start at Closed at Duration
13 Oct 2025
18:09:08		 13 Oct 2025
18:30:00		 20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.08395 0.08342 0.08501 2 0.06076
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 0.08395
  • Stop Loss: 0.08342
  • Take Profit: 0.08501

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08342 - 0.08395 = -0.00053

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.08395 - 0.08501 = -0.00106

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00106 / -0.00053 = 2

📌 Position Size

Amount Margin Quantity Leverage
1265.2849 100 15071.8871 12.65
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 -0.00053

Taille de position = 8 / -0.00053 = -15094.34

Taille de position USD = -15094.34 x 0.08395 = -1267.17

Donc, tu peux acheter -15094.34 avec un stoploss a 0.08342

Avec un position size USD de -1267.17$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -15094.34 x -0.00053 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -15094.34 x -0.00106 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -15094.34
  • Taille de position USD -1267.17
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.26 % 15.98 $
SL % Target SL $ Target
0.63 % 7.99 $
PNL PNL %
-7.99 $ -0.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7862 % 124.54 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08501
            [entry_price] => 0.08395
            [stop_loss] => 0.083367
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-13 18:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08501
            [entry_price] => 0.08395
            [stop_loss] => 0.083314
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-13 18:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08501
            [entry_price] => 0.08395
            [stop_loss] => 0.083261
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-13 18:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08501
            [entry_price] => 0.08395
            [stop_loss] => 0.083155
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-13 18:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00026
            [max_drawdown] => 0.00132
            [rr_ratio] => 0.2
            [high] => 0.08421000
            [low] => 0.08263000
            [mfe_pct] => 0.31
            [mae_pct] => 1.57
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 24
            [start_at] => 2025-10-13T18:09:08-04:00
            [end_at] => 2025-10-13T20:09:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00075
            [max_drawdown] => 0.00528
            [rr_ratio] => 0.14
            [high] => 0.08470000
            [low] => 0.07867000
            [mfe_pct] => 0.89
            [mae_pct] => 6.29
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 84
            [start_at] => 2025-10-13T18:09:08-04:00
            [end_at] => 2025-10-14T01:09:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08618000
            [high_after] => 0.08470000
            [low_before] => 0.08356000
            [low_after] => 0.07942000
            [is_new_high] => 
            [is_new_low] => 
        )

)