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Short Trade on HIPPO

Short Trade on HIPPO

The 03 Nov 2025 at 06:19:13

With 314199.2348 HIPPO at 0.001817$ per unit.

Position size of 570.9 $

Take profit at 0.001766 (2.81 %) and Stop Loss at 0.001842 (1.38 %)

That's a 2.04 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -80
ML Pullback Score: 4.76
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
0 0.89
Prediction 3 Probability
0 0.56
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high_confirmed
BTC Correlation Score

5m : 0.299609

15m : -0.018052

1H : -0.094729

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 1.697436767E-5
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 0.00179399
  4. ema21 - 0.00184001
  5. ema50 - 0.00187418
  6. ema100 - 0.0018237
  7. price_ema9_diff - 0.0128231
  8. ema9_ema21_diff - -0.0250098
  9. ema21_ema50_diff - -0.0182331
  10. price_ema100_diff - -0.00367597
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.574842
  14. ema_slope_21 - -0.450653
  15. ema_slope_50 - -0.208424
  16. ema_slope_100 - -0.0311832
  17. rsi - 0.453122
  18. adx - 0.243077
  19. kc_percentage - 0.413748
  20. kc_width_percentage - 0.125931
  21. volume_ema_diff - -0.223499
  22. volume_ema1 - 239085.33210874
  23. volume_ema2 - 307900.88351688
  24. chop - 41.4821
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.00178578
  28. ema21 - 0.0017797
  29. ema50 - 0.0018069
  30. ema100 - 0.00184616
  31. price_ema9_diff - 0.0174787
  32. ema9_ema21_diff - 0.00341718
  33. ema21_ema50_diff - -0.0150524
  34. price_ema100_diff - -0.015799
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.194944
  38. ema_slope_21 - 0.0559826
  39. ema_slope_50 - -0.0642531
  40. ema_slope_100 - -0.0756886
  41. rsi - 0.596059
  42. adx - 0.258661
  43. kc_percentage - 0.820713
  44. kc_width_percentage - 0.0645352
  45. volume_ema_diff - -0.132776
  46. volume_ema1 - 61494.765858359
  47. volume_ema2 - 70909.920822366
  48. chop - 51.705
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.00178661
  52. ema21 - 0.00177913
  53. ema50 - 0.00177278
  54. ema100 - 0.00178039
  55. price_ema9_diff - 0.0170093
  56. ema9_ema21_diff - 0.00420383
  57. ema21_ema50_diff - 0.00358226
  58. price_ema100_diff - 0.020562
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.062177
  62. ema_slope_21 - 0.0388264
  63. ema_slope_50 - 0.0242956
  64. ema_slope_100 - 0.000160325
  65. rsi - 0.666669
  66. adx - 0.147426
  67. kc_percentage - 1.03265
  68. kc_width_percentage - 0.0386861
  69. volume_ema_diff - 0.609475
  70. volume_ema1 - 38936.145058224
  71. volume_ema2 - 24191.825035852
  72. chop - 41.3243
  73. regime - bull_high_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 107679
  77. 5m_price_ema100_diff: -0.000211304
  78. 5m_price: 107656
  79. 5m_correlation_with_coin: 0.299609
  80. btc_indicators
  81. 15m_ema100: 108838
  82. 15m_price_ema100_diff: -0.0108652
  83. 15m_price: 107656
  84. 15m_correlation_with_coin: -0.018052
  85. btc_indicators
  86. 1H_ema100: 109712
  87. 1H_price_ema100_diff: -0.0187427
  88. 1H_price: 107656
  89. 1H_correlation_with_coin: -0.094729
    90. ¸

📌 Time Data

Start at Closed at Duration
03 Nov 2025
06:19:13		 03 Nov 2025
07:15:00		 55 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.001817 0.001842 0.001766 2.04 0.001092
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 0.001817
  • Stop Loss: 0.001842
  • Take Profit: 0.001766

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.001842 - 0.001817 = 2.5E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.001817 - 0.001766 = 5.1E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 5.1E-5 / 2.5E-5 = 2.04

📌 Position Size

Amount Margin Quantity Leverage
570.9 100 314199.2348 5.71
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 2.5E-5

Taille de position = 8 / 2.5E-5 = 320000

Taille de position USD = 320000 x 0.001817 = 581.44

Donc, tu peux acheter 320000 avec un stoploss a 0.001842

Avec un position size USD de 581.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 320000 x 2.5E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 320000 x 5.1E-5 = 16.32

Si Take Profit atteint, tu gagneras 16.32$

Résumé

  • Taille de position 320000
  • Taille de position USD 581.44
  • Perte potentielle 8
  • Gain potentiel 16.32
  • Risk-Reward Ratio 2.04

📌 Peformances

TP % Target TP $ Target
2.81 % 16.02 $
SL % Target SL $ Target
1.38 % 7.85 $
PNL PNL %
-7.85 $ -1.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.7611 % 128 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.001766
            [entry_price] => 0.001817
            [stop_loss] => 0.0018445
            [rr_ratio] => 1.85
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-03 07:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.001766
            [entry_price] => 0.001817
            [stop_loss] => 0.001847
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-03 07:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.001766
            [entry_price] => 0.001817
            [stop_loss] => 0.0018495
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-03 07:55:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.001766
            [entry_price] => 0.001817
            [stop_loss] => 0.0018545
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-03 07:55:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 7.9E-5
            [max_drawdown] => 3.2E-5
            [rr_ratio] => 2.47
            [high] => 0.00184900
            [low] => 0.00173800
            [mfe_pct] => 4.35
            [mae_pct] => 1.76
            [mfe_mae_ratio] => 2.47
            [candles_analyzed] => 24
            [start_at] => 2025-11-03T06:19:13-05:00
            [end_at] => 2025-11-03T08:19:13-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000149
            [max_drawdown] => 0.000115
            [rr_ratio] => 1.3
            [high] => 0.00193200
            [low] => 0.00166800
            [mfe_pct] => 8.2
            [mae_pct] => 6.33
            [mfe_mae_ratio] => 1.3
            [candles_analyzed] => 84
            [start_at] => 2025-11-03T06:19:13-05:00
            [end_at] => 2025-11-03T13:19:13-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00183500
            [high_after] => 0.00192000
            [low_before] => 0.00170300
            [low_after] => 0.00166800
            [is_new_high] => 
            [is_new_low] => 1
        )

)