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Short Trade on HYPER

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Short Trade on HYPER 23 Sep 2025 at 03:49:47

Take profit at 0.2581 (1.41 %) and Stop Loss at 0.2636 (0.69 %)

Short Trade on HYPER

The 23 Sep 2025 at 03:49:47

With 4347.98 HYPER at 0.2618$ per unit.

Position size of 1138.3012 $

Take profit at 0.2581 (1.41 %) and Stop Loss at 0.2636 (0.69 %)

That's a 2.06 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.76
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.46
Prediction 3 Probability
0 0.72
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium_confirmed
BTC Correlation Score

5m : 0.460587

15m : -0.156511

1H : 0.014754

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 0.001226623257
Details
  1. score: 1.23
  2. 1H
  3. ema9 : 0.257711
  4. ema21 : 0.263603
  5. ema50 : 0.277293
  6. ema100 : 0.289019
  7. price_ema9_diff : 0.015863
  8. ema9_ema21_diff : -0.0223501
  9. ema21_ema50_diff : -0.0493696
  10. price_ema100_diff : -0.0941775
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.268218
  14. ema_slope_21 : -0.378826
  15. ema_slope_50 : -0.337386
  16. ema_slope_100 : -0.23167
  17. rsi : 0.435777
  18. adx : 0.586255
  19. kc_percentage : 0.445621
  20. kc_width_percentage : 0.0864663
  21. volume_ema_diff : -0.163457
  22. volume_ema1 : 175587.27009143
  23. volume_ema2 : 209896.32741079
  24. chop : 43.6907
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.258368
  28. ema21 : 0.256782
  29. ema50 : 0.258764
  30. ema100 : 0.262802
  31. price_ema9_diff : 0.0132823
  32. ema9_ema21_diff : 0.00617421
  33. ema21_ema50_diff : -0.00765862
  34. price_ema100_diff : -0.00381522
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.196214
  38. ema_slope_21 : 0.0501072
  39. ema_slope_50 : -0.0379736
  40. ema_slope_100 : -0.0530391
  41. rsi : 0.620617
  42. adx : 0.267845
  43. kc_percentage : 1.02224
  44. kc_width_percentage : 0.0366241
  45. volume_ema_diff : -0.526993
  46. volume_ema1 : 23930.072903473
  47. volume_ema2 : 50591.445633791
  48. chop : 38.399
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.259801
  52. ema21 : 0.258097
  53. ema50 : 0.256271
  54. ema100 : 0.257026
  55. price_ema9_diff : 0.00769157
  56. ema9_ema21_diff : 0.00660481
  57. ema21_ema50_diff : 0.00712466
  58. price_ema100_diff : 0.0185716
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0990802
  62. ema_slope_21 : 0.107701
  63. ema_slope_50 : 0.0646211
  64. ema_slope_100 : 0.0210501
  65. rsi : 0.718904
  66. adx : 0.419634
  67. kc_percentage : 1.22551
  68. kc_width_percentage : 0.0188339
  69. volume_ema_diff : -0.410734
  70. volume_ema1 : 8704.5428458312
  71. volume_ema2 : 14771.860081897
  72. chop : 50.0433
  73. regime : bull_medium_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112559
  77. 5m_price_ema100_diff: 
    0.00342541
  78. 5m_price: 
    112945
  79. 5m_correlation_with_coin: 
    0.460587
  80. btc_indicators
  81. 15m_ema100: 
    112551
  82. 15m_price_ema100_diff: 
    0.00349672
  83. 15m_price: 
    112945
  84. 15m_correlation_with_coin: 
    -0.156511
  85. btc_indicators
  86. 1H_ema100: 
    114474
  87. 1H_price_ema100_diff: 
    -0.013354
  88. 1H_price: 
    112945
  89. 1H_correlation_with_coin: 
    0.014754
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
23 Sep 2025
03:49:47		 23 Sep 2025
06:30:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2618 0.2636 0.2581 2.06 0.0939
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 0.2618
  • Stop Loss: 0.2636
  • Take Profit: 0.2581

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2636 - 0.2618 = 0.0018

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2618 - 0.2581 = 0.0037

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0037 / 0.0018 = 2.0556

📌 Position Size

Amount Margin Quantity Leverage
1138.3012 100 4347.98 11.38
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 0.0018

Taille de position = 8 / 0.0018 = 4444.44

Taille de position USD = 4444.44 x 0.2618 = 1163.55

Donc, tu peux acheter 4444.44 avec un stoploss a 0.2636

Avec un position size USD de 1163.55$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4444.44 x 0.0018 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4444.44 x 0.0037 = 16.44

Si Take Profit atteint, tu gagneras 16.44$

Résumé

  • Taille de position 4444.44
  • Taille de position USD 1163.55
  • Perte potentielle 8
  • Gain potentiel 16.44
  • Risk-Reward Ratio 2.0556

📌 Peformances

TP % Target TP $ Target
1.41 % 16.09 $
SL % Target SL $ Target
0.69 % 7.83 $
PNL PNL %
-7.83 $ -0.69
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8021 % 116.67 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2581
            [entry_price] => 0.2618
            [stop_loss] => 0.26378
            [rr_ratio] => 1.87
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-23 06:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2581
            [entry_price] => 0.2618
            [stop_loss] => 0.26396
            [rr_ratio] => 1.71
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-23 06:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2581
            [entry_price] => 0.2618
            [stop_loss] => 0.26414
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-23 06:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2581
            [entry_price] => 0.2618
            [stop_loss] => 0.2645
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-23 07:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0034
            [max_drawdown] => 0.00080000000000002
            [rr_ratio] => 4.25
            [high] => 0.26260000
            [low] => 0.25840000
            [mfe_pct] => 1.3
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 4.25
            [candles_analyzed] => 24
            [start_at] => 2025-09-23T03:49:47-04:00
            [end_at] => 2025-09-23T05:49:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0034
            [max_drawdown] => 0.0057
            [rr_ratio] => 0.6
            [high] => 0.26750000
            [low] => 0.25840000
            [mfe_pct] => 1.3
            [mae_pct] => 2.18
            [mfe_mae_ratio] => 0.6
            [candles_analyzed] => 84
            [start_at] => 2025-09-23T03:49:47-04:00
            [end_at] => 2025-09-23T10:49:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.26230000
            [high_after] => 0.26750000
            [low_before] => 0.24910000
            [low_after] => 0.25840000
            [is_new_high] => 
            [is_new_low] => 
        )

)