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Short Trade on KAIA

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Short Trade on KAIA 29 Aug 2025 at 19:04:58

Take profit at 0.1476 (0.47 %) and Stop Loss at 0.1487 (0.27 %)

Short Trade on KAIA

The 29 Aug 2025 at 19:04:58

With 18218.168 KAIA at 0.1483$ per unit.

Position size of 2701.7543 $

Take profit at 0.1476 (0.47 %) and Stop Loss at 0.1487 (0.27 %)

That's a 1.75 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 9.4
Prediction Score: 2.0077
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.64
Prediction 3 Probability
0 0.59
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low
BTC Correlation Score

5m : 0.631854

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.6
  4. atr: 0.000292748059
Details
  1. score: 1.6
  2. 1H
  3. ema9 : 0.14734
  4. ema21 : 0.148987
  5. ema50 : 0.150643
  6. ema100 : 0.149114
  7. price_ema9_diff : 0.00651282
  8. ema9_ema21_diff : -0.0110554
  9. ema21_ema50_diff : -0.0109956
  10. price_ema100_diff : -0.00545912
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.448754
  14. adx : 0.225002
  15. kc_percentage : 0.418237
  16. kc_width_percentage : 0.0453456
  17. volume_ema_diff : -0.712926
  18. volume_ema1 : 94015.4345064
  19. volume_ema2 : 327496.34709565
    20. ¸
  20. 15m
  21. ema9 : 0.147081
  22. ema21 : 0.146774
  23. ema50 : 0.147743
  24. ema100 : 0.149741
  25. price_ema9_diff : 0.00828689
  26. ema9_ema21_diff : 0.0020903
  27. ema21_ema50_diff : -0.00656295
  28. price_ema100_diff : -0.00962662
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.635543
  32. adx : 0.249945
  33. kc_percentage : 1.1129
  34. kc_width_percentage : 0.016875
  35. volume_ema_diff : -0.569525
  36. volume_ema1 : 21899.714527316
  37. volume_ema2 : 50873.460135391
    38. ¸
  38. 5m
  39. ema9 : 0.147514
  40. ema21 : 0.147
  41. ema50 : 0.146608
  42. ema100 : 0.146902
  43. price_ema9_diff : 0.00532817
  44. ema9_ema21_diff : 0.00349436
  45. ema21_ema50_diff : 0.0026747
  46. price_ema100_diff : 0.00951505
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.730052
  50. adx : 0.354866
  51. kc_percentage : 1.60369
  52. kc_width_percentage : 0.00773802
  53. volume_ema_diff : -0.124754
  54. volume_ema1 : 9216.0245840142
  55. volume_ema2 : 10529.647972346
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    108228
  59. 5m_price_ema100_diff: 
    0.00128271
  60. 5m_price: 
    108367
  61. 5m_correlation_with_coin: 
    0.631854
  62. btc_indicators
  63. 15m_ema100: 
    109631
  64. 15m_price_ema100_diff: 
    -0.0115259
  65. 15m_price: 
    108367
  66. btc_indicators
  67. 1H_ema100: 
    110573
  68. 1H_price_ema100_diff: 
    -0.0199469
  69. 1H_price: 
    108367
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Aug 2025
19:04:58		 29 Aug 2025
20:00:00		 55 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1483 0.1487 0.1476 1.75 0.05666
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 0.1483
  • Stop Loss: 0.1487
  • Take Profit: 0.1476

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1487 - 0.1483 = 0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1483 - 0.1476 = 0.00069999999999998

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00069999999999998 / 0.00040000000000001 = 1.75

📌 Position Size

Amount Margin Quantity Leverage
2701.7543 100 18218.168 27.02
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 0.00040000000000001

Taille de position = 8 / 0.00040000000000001 = 20000

Taille de position USD = 20000 x 0.1483 = 2966

Donc, tu peux acheter 20000 avec un stoploss a 0.1487

Avec un position size USD de 2966$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.00040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.00069999999999998 = 14

Si Take Profit atteint, tu gagneras 14$

Résumé

  • Taille de position 20000
  • Taille de position USD 2966
  • Perte potentielle 8
  • Gain potentiel 14
  • Risk-Reward Ratio 1.75

📌 Peformances

TP % Target TP $ Target
0.47 % 12.75 $
SL % Target SL $ Target
0.27 % 7.29 $
PNL PNL %
12.75 $ 0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1475
            [stop_loss] => 0.1487
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 20:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1473
            [stop_loss] => 0.1487
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 20:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1471
            [stop_loss] => 0.1487
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 20:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1469
            [stop_loss] => 0.1487
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 20:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1467
            [stop_loss] => 0.1487
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 20:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1465
            [stop_loss] => 0.1487
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 20:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1463
            [stop_loss] => 0.1487
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 21:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1461
            [stop_loss] => 0.1487
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 21:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1459
            [stop_loss] => 0.1487
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.1457
            [stop_loss] => 0.1487
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1455
            [stop_loss] => 0.1487
            [rr_ratio] => 7
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0019
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.14830000
            [low] => 0.14640000
            [mfe_pct] => 1.28
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T19:04:58-04:00
            [end_at] => 2025-08-29T21:04:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0035
            [max_drawdown] => 0.0005
            [rr_ratio] => 7
            [high] => 0.14880000
            [low] => 0.14480000
            [mfe_pct] => 2.36
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 7
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T19:04:58-04:00
            [end_at] => 2025-08-30T02:04:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14830000
            [high_after] => 0.14880000
            [low_before] => 0.14490000
            [low_after] => 0.14480000
            [is_new_high] => 
            [is_new_low] => 1
        )

)