Short Trade on KAVA 11 Oct 2025 at 01:09:15

Take profit at 0.1706 (3.62 %) and Stop Loss at 0.1802 (1.81 %)

Short Trade on KAVA

The 11 Oct 2025 at 01:09:15

With 2513.0378 KAVA at 0.177$ per unit.

Position size of 444.8077 $

Take profit at 0.1706 (3.62 %) and Stop Loss at 0.1802 (1.81 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.2
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.65
Prediction 2 Probability
0 0.53
Prediction 3 Probability
1 0.7
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high

BTC Correlation Score

5m : 0.823798

15m : -0.025316

1H : 0.037062

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.002122265441
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.193157
  4. ema21 : 0.239293
  5. ema50 : 0.282355
  6. ema100 : 0.303711
  7. price_ema9_diff : -0.0836514
  8. ema9_ema21_diff : -0.192798
  9. ema21_ema50_diff : -0.152511
  10. price_ema100_diff : -0.41721
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -3.51442
  14. ema_slope_21 : -2.35474
  15. ema_slope_50 : -1.22784
  16. ema_slope_100 : -0.666309
  17. rsi : 0.180725
  18. adx : 0.537961
  19. kc_percentage : -0.194849
  20. kc_width_percentage : 0.483303
  21. volume_ema_diff : -0.0854629
  22. volume_ema1 : 330912.14843757
  23. volume_ema2 : 361835.69606803
  24. chop : -8.74024
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.172702
  29. ema21 : 0.177413
  30. ema50 : 0.213321
  31. ema100 : 0.254869
  32. price_ema9_diff : 0.0248809
  33. ema9_ema21_diff : -0.0265503
  34. ema21_ema50_diff : -0.168329
  35. price_ema100_diff : -0.305525
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.280312
  39. ema_slope_21 : -0.497026
  40. ema_slope_50 : -0.892787
  41. ema_slope_100 : -0.677952
  42. rsi : 0.443334
  43. adx : 0.539528
  44. kc_percentage : 0.519765
  45. kc_width_percentage : 0.146773
  46. volume_ema_diff : -0.728815
  47. volume_ema1 : 42180.711797409
  48. volume_ema2 : 155542.26061248
  49. chop : 85.9019
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.174637
  54. ema21 : 0.172547
  55. ema50 : 0.173419
  56. ema100 : 0.191389
  57. price_ema9_diff : 0.0135259
  58. ema9_ema21_diff : 0.0121132
  59. ema21_ema50_diff : -0.00502419
  60. price_ema100_diff : -0.0751853
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.29451
  64. ema_slope_21 : 0.18529
  65. ema_slope_50 : 0.0142564
  66. ema_slope_100 : -0.203294
  67. rsi : 0.713815
  68. adx : 0.162788
  69. kc_percentage : 1.07511
  70. kc_width_percentage : 0.0425418
  71. volume_ema_diff : -0.724373
  72. volume_ema1 : 11027.344046974
  73. volume_ema2 : 40008.298480797
  74. chop : 45.0344
  75. regime : bull_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112728
  80. 5m_price_ema100_diff:
    -0.000867771
  81. 5m_price:
    112631
  82. 5m_correlation_with_coin:
    0.823798
  83. btc_indicators
  84. 15m_ema100:
    116255
  85. 15m_price_ema100_diff:
    -0.031175
  86. 15m_price:
    112631
  87. 15m_correlation_with_coin:
    -0.025316
  88. btc_indicators
  89. 1H_ema100:
    120222
  90. 1H_price_ema100_diff:
    -0.0631476
  91. 1H_price:
    112631
  92. 1H_correlation_with_coin:
    0.037062
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
01:09:15
11 Oct 2025
04:15:00
3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.177 0.1802 0.1706 2 0.04866
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 0.177
  • Stop Loss: 0.1802
  • Take Profit: 0.1706

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1802 - 0.177 = 0.0032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.177 - 0.1706 = 0.0064

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0064 / 0.0032 = 2

📌 Position Size

Amount Margin Quantity Leverage
444.8077 100 2513.0378 4.45
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 0.0032

Taille de position = 8 / 0.0032 = 2500

Taille de position USD = 2500 x 0.177 = 442.5

Donc, tu peux acheter 2500 avec un stoploss a 0.1802

Avec un position size USD de 442.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2500 x 0.0032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2500 x 0.0064 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 2500
  • Taille de position USD 442.5
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.62 % 16.08 $
SL % Target SL $ Target
1.81 % 8.04 $
PNL PNL %
-8.04 $ -1.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.9209 % 106.25 % 11

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1706
            [entry_price] => 0.177
            [stop_loss] => 0.18052
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 04:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1706
            [entry_price] => 0.177
            [stop_loss] => 0.18084
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 04:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1706
            [entry_price] => 0.177
            [stop_loss] => 0.18116
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 04:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1706
            [entry_price] => 0.177
            [stop_loss] => 0.1818
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 04:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0063
            [max_drawdown] => 0.001
            [rr_ratio] => 6.3
            [high] => 0.17800000
            [low] => 0.17070000
            [mfe_pct] => 3.56
            [mae_pct] => 0.56
            [mfe_mae_ratio] => 6.3
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T01:09:15-04:00
            [end_at] => 2025-10-11T03:09:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0063
            [max_drawdown] => 0.0193
            [rr_ratio] => 0.33
            [high] => 0.19630000
            [low] => 0.17070000
            [mfe_pct] => 3.56
            [mae_pct] => 10.9
            [mfe_mae_ratio] => 0.33
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T01:09:15-04:00
            [end_at] => 2025-10-11T08:09:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17750000
            [high_after] => 0.19630000
            [low_before] => 0.16020000
            [low_after] => 0.17070000
            [is_new_high] => 
            [is_new_low] => 
        )

)