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Short Trade on CATI

Short Trade on CATI

The 01 Sep 2025 at 10:19:16

With 11146.5831 CATI at 0.09877$ per unit.

Position size of 1100.948 $

Take profit at 0.09769 (1.09 %) and Stop Loss at 0.09949 (0.73 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 5.84
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.52
Prediction 2 Probability
1 0.55
Prediction 3 Probability
0 0.53
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low
BTC Correlation Score

5m : 0.431162

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0004784724883
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 0.0977302
  4. ema21 - 0.0992112
  5. ema50 - 0.102526
  6. ema100 - 0.105277
  7. price_ema9_diff - 0.0106392
  8. ema9_ema21_diff - -0.0149279
  9. ema21_ema50_diff - -0.0323323
  10. price_ema100_diff - -0.0618169
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.448347
  14. adx - 0.294806
  15. kc_percentage - 0.457604
  16. kc_width_percentage - 0.0697472
  17. volume_ema_diff - -0.500053
  18. volume_ema1 - 126552.13081998
  19. volume_ema2 - 253131.2219081
    20. ¸
  20. 15m
  21. ema9 - 0.0977043
  22. ema21 - 0.097441
  23. ema50 - 0.0979132
  24. ema100 - 0.0997511
  25. price_ema9_diff - 0.0109071
  26. ema9_ema21_diff - 0.00270202
  27. ema21_ema50_diff - -0.00482278
  28. price_ema100_diff - -0.00983646
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.628729
  32. adx - 0.247773
  33. kc_percentage - 0.905175
  34. kc_width_percentage - 0.0329707
  35. volume_ema_diff - 0.192305
  36. volume_ema1 - 47570.429750442
  37. volume_ema2 - 39897.840371104
    38. ¸
  38. 5m
  39. ema9 - 0.0979783
  40. ema21 - 0.0976704
  41. ema50 - 0.0974246
  42. ema100 - 0.0971503
  43. price_ema9_diff - 0.00807967
  44. ema9_ema21_diff - 0.0031531
  45. ema21_ema50_diff - 0.00252292
  46. price_ema100_diff - 0.0166714
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.667994
  50. adx - 0.207263
  51. kc_percentage - 1.04355
  52. kc_width_percentage - 0.0201879
  53. volume_ema_diff - 1.43301
  54. volume_ema1 - 32100.229138985
  55. volume_ema2 - 13193.600097331
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108788
  59. 5m_price_ema100_diff: 0.00240596
  60. 5m_price: 109049
  61. 5m_correlation_with_coin: 0.431162
  62. btc_indicators
  63. 15m_ema100: 108593
  64. 15m_price_ema100_diff: 0.00420543
  65. 15m_price: 109049
  66. btc_indicators
  67. 1H_ema100: 109443
  68. 1H_price_ema100_diff: -0.00359664
  69. 1H_price: 109049
    70. ¸

📌 Time Data

Start at Closed at Duration
01 Sep 2025
10:19:16		 01 Sep 2025
10:30:00		 10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.09877 0.09949 0.09769 1.5 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 0.09877
  • Stop Loss: 0.09949
  • Take Profit: 0.09769

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09949 - 0.09877 = 0.00072

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.09877 - 0.09769 = 0.00108

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00108 / 0.00072 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1100.948 100 11146.5831 11.01
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 0.00072

Taille de position = 8 / 0.00072 = 11111.11

Taille de position USD = 11111.11 x 0.09877 = 1097.44

Donc, tu peux acheter 11111.11 avec un stoploss a 0.09949

Avec un position size USD de 1097.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11111.11 x 0.00072 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11111.11 x 0.00108 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 11111.11
  • Taille de position USD 1097.44
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.09 % 12.04 $
SL % Target SL $ Target
0.73 % 8.03 $
PNL PNL %
12.04 $ 1.09
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.09733
            [stop_loss] => 0.09949
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 11:05:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.09697
            [stop_loss] => 0.09949
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 11:05:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.09661
            [stop_loss] => 0.09949
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 11:05:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.09625
            [stop_loss] => 0.09949
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 11:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.09589
            [stop_loss] => 0.09949
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 11:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.09553
            [stop_loss] => 0.09949
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 11:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.09517
            [stop_loss] => 0.09949
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 11:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.09481
            [stop_loss] => 0.09949
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 11:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.09445
            [stop_loss] => 0.09949
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 11:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.09409
            [stop_loss] => 0.09949
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 11:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.09373
            [stop_loss] => 0.09949
            [rr_ratio] => 7
            [closed_at] => 2025-09-01 11:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00243
            [max_drawdown] => 0.00097
            [rr_ratio] => 2.51
            [high] => 0.09974000
            [low] => 0.09634000
            [mfe_pct] => 2.46
            [mae_pct] => 0.98
            [mfe_mae_ratio] => 2.51
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T10:19:16-04:00
            [end_at] => 2025-09-01T12:19:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0054
            [max_drawdown] => 0.00177
            [rr_ratio] => 3.05
            [high] => 0.10054000
            [low] => 0.09337000
            [mfe_pct] => 5.47
            [mae_pct] => 1.79
            [mfe_mae_ratio] => 3.05
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T10:19:16-04:00
            [end_at] => 2025-09-01T17:19:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09892000
            [high_after] => 0.10054000
            [low_before] => 0.09641000
            [low_after] => 0.09570000
            [is_new_high] => 
            [is_new_low] => 1
        )

)