Short Trade on KAIA 30 Sep 2025 at 16:18:46

Take profit at 0.1494 (0.53 %) and Stop Loss at 0.1506 (0.27 %)

Short Trade on KAIA

The 30 Sep 2025 at 16:18:46

With 18960.6127 KAIA at 0.1502$ per unit.

Position size of 2847.884 $

Take profit at 0.1494 (0.53 %) and Stop Loss at 0.1506 (0.27 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
1 0.6
Prediction 3 Probability
0 0.72
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.358257

15m : 0.096672

1H : -0.135705

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.0002812848626
Details
  1. score: 1.19
  2. 1H
  3. ema9 : 0.149693
  4. ema21 : 0.150457
  5. ema50 : 0.151412
  6. ema100 : 0.151935
  7. price_ema9_diff : 0.00338242
  8. ema9_ema21_diff : -0.00507463
  9. ema21_ema50_diff : -0.00631194
  10. price_ema100_diff : -0.0114206
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.127636
  14. ema_slope_21 : -0.105251
  15. ema_slope_50 : -0.0611267
  16. ema_slope_100 : -0.0343838
  17. rsi : 0.466093
  18. adx : 0.386765
  19. kc_percentage : 0.46202
  20. kc_width_percentage : 0.0351082
  21. volume_ema_diff : 1.14367
  22. volume_ema1 : 564216.70543283
  23. volume_ema2 : 263200.66574408
  24. chop : 23.8832
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.149526
  29. ema21 : 0.149353
  30. ema50 : 0.149873
  31. ema100 : 0.150726
  32. price_ema9_diff : 0.00450665
  33. ema9_ema21_diff : 0.00115551
  34. ema21_ema50_diff : -0.00347054
  35. price_ema100_diff : -0.00349219
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0191215
  39. ema_slope_21 : -0.0108412
  40. ema_slope_50 : -0.0259637
  41. ema_slope_100 : -0.0249584
  42. rsi : 0.58278
  43. adx : 0.218761
  44. kc_percentage : 0.830946
  45. kc_width_percentage : 0.0171408
  46. volume_ema_diff : -0.785301
  47. volume_ema1 : 31480.774621343
  48. volume_ema2 : 146627.72245427
  49. chop : 27.927
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.149884
  54. ema21 : 0.149502
  55. ema50 : 0.149238
  56. ema100 : 0.149359
  57. price_ema9_diff : 0.00210703
  58. ema9_ema21_diff : 0.00255461
  59. ema21_ema50_diff : 0.00176736
  60. price_ema100_diff : 0.00562565
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0506465
  64. ema_slope_21 : 0.0397733
  65. ema_slope_50 : 0.0184123
  66. ema_slope_100 : 0.00589419
  67. rsi : 0.67486
  68. adx : 0.207443
  69. kc_percentage : 1.18577
  70. kc_width_percentage : 0.00654185
  71. volume_ema_diff : -0.956067
  72. volume_ema1 : 2682.3704251998
  73. volume_ema2 : 61057.089950989
  74. chop : 47.2295
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113400
  80. 5m_price_ema100_diff:
    0.00660526
  81. 5m_price:
    114149
  82. 5m_correlation_with_coin:
    0.358257
  83. btc_indicators
  84. 15m_ema100:
    113605
  85. 15m_price_ema100_diff:
    0.00478177
  86. 15m_price:
    114149
  87. 15m_correlation_with_coin:
    0.096672
  88. btc_indicators
  89. 1H_ema100:
    111882
  90. 1H_price_ema100_diff:
    0.0202584
  91. 1H_price:
    114149
  92. 1H_correlation_with_coin:
    -0.135705
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
16:18:46
30 Sep 2025
16:25:00
6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1502 0.1506 0.1494 2 0.05613
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 0.1502
  • Stop Loss: 0.1506
  • Take Profit: 0.1494

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1506 - 0.1502 = 0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1502 - 0.1494 = 0.0008

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0008 / 0.00040000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
2847.884 100 18960.6127 28.48
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 0.1502 = 3004

Donc, tu peux acheter 20000 avec un stoploss a 0.1506

Avec un position size USD de 3004$

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 0.0008 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 20000
  • Taille de position USD 3004
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.53 % 15.17 $
SL % Target SL $ Target
0.27 % 7.58 $
PNL PNL %
-7.58 $ -0.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2663 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1494
            [entry_price] => 0.1502
            [stop_loss] => 0.15064
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 16:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1494
            [entry_price] => 0.1502
            [stop_loss] => 0.15068
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 16:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1494
            [entry_price] => 0.1502
            [stop_loss] => 0.15072
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1494
            [entry_price] => 0.1502
            [stop_loss] => 0.1508
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.0014
            [rr_ratio] => 0
            [high] => 0.15160000
            [low] => 0.15020000
            [mfe_pct] => 0
            [mae_pct] => 0.93
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T16:18:46-04:00
            [end_at] => 2025-09-30T18:18:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.0025
            [rr_ratio] => 0
            [high] => 0.15270000
            [low] => 0.15020000
            [mfe_pct] => 0
            [mae_pct] => 1.66
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T16:18:46-04:00
            [end_at] => 2025-09-30T23:18:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.15030000
            [high_after] => 0.15270000
            [low_before] => 0.14520000
            [low_after] => 0.15020000
            [is_new_high] => 
            [is_new_low] => 
        )

)