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Short Trade on HIPPO

Short Trade on HIPPO

The 14 Nov 2025 at 17:57:19

With 243886.7121 HIPPO at 0.001684$ per unit.

Position size of 410.7052 $

Take profit at 0.001618 (3.92 %) and Stop Loss at 0.001717 (1.96 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 6.1
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.92
Prediction 2 Probability
0 0.53
Prediction 3 Probability
0 0.56
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high_exhausted

15m_regime : bear_high

5m_regime : bull_high
BTC Correlation Score

5m : 0.127372

15m : 0.024911

1H : -0.096222

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 2.186807673E-5
Details
  1. score: 1.14
  2. 1H
  3. ema9 - 0.00182454
  4. ema21 - 0.0029715
  5. ema50 - 0.00469245
  6. ema100 - 0.0057652
  7. price_ema9_diff - -0.0770315
  8. ema9_ema21_diff - -0.385985
  9. ema21_ema50_diff - -0.366748
  10. price_ema100_diff - -0.707902
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - -5.00309
  14. ema_slope_21 - -4.09575
  15. ema_slope_50 - -2.38787
  16. ema_slope_100 - -1.35558
  17. rsi - 0.141219
  18. adx - 0.619467
  19. kc_percentage - -0.688594
  20. kc_width_percentage - 0.597191
  21. volume_ema_diff - -0.465741
  22. volume_ema1 - 212871.7544513
  23. volume_ema2 - 398443.2026535
  24. chop - 102.231
  25. regime - bear_high_exhausted
    26. ¸
  26. 15m
  27. ema9 - 0.00162448
  28. ema21 - 0.00163238
  29. ema50 - 0.00215633
  30. ema100 - 0.00334719
  31. price_ema9_diff - 0.0366361
  32. ema9_ema21_diff - -0.00484215
  33. ema21_ema50_diff - -0.242981
  34. price_ema100_diff - -0.496892
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.321086
  38. ema_slope_21 - -0.153747
  39. ema_slope_50 - -1.11898
  40. ema_slope_100 - -1.02737
  41. rsi - 0.493637
  42. adx - 0.456682
  43. kc_percentage - 0.830837
  44. kc_width_percentage - 0.101816
  45. volume_ema_diff - -0.668259
  46. volume_ema1 - 33525.691178973
  47. volume_ema2 - 101059.97402848
  48. chop - 57.6245
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.00165118
  52. ema21 - 0.00162576
  53. ema50 - 0.00160864
  54. ema100 - 0.00161714
  55. price_ema9_diff - 0.0198762
  56. ema9_ema21_diff - 0.0156313
  57. ema21_ema50_diff - 0.0106449
  58. price_ema100_diff - 0.041339
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.320123
  62. ema_slope_21 - 0.196125
  63. ema_slope_50 - 0.0919774
  64. ema_slope_100 - 0.024891
  65. rsi - 0.729613
  66. adx - 0.261289
  67. kc_percentage - 1.14074
  68. kc_width_percentage - 0.0526774
  69. volume_ema_diff - -0.200039
  70. volume_ema1 - 12716.980981701
  71. volume_ema2 - 15897.014746248
  72. chop - 35.0543
  73. regime - bull_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 95557.7
  77. 5m_price_ema100_diff: -0.00566021
  78. 5m_price: 95016.9
  79. 5m_correlation_with_coin: 0.127372
  80. btc_indicators
  81. 15m_ema100: 96705
  82. 15m_price_ema100_diff: -0.0160612
  83. 15m_price: 95151.8
  84. 15m_correlation_with_coin: 0.024911
  85. btc_indicators
  86. 1H_ema100: 100766
  87. 1H_price_ema100_diff: -0.0570608
  88. 1H_price: 95016.9
  89. 1H_correlation_with_coin: -0.096222
    90. ¸

📌 Time Data

Start at Closed at Duration
14 Nov 2025
17:57:19		 14 Nov 2025
18:10:00		 12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.001684 0.001717 0.001618 2 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 0.001684
  • Stop Loss: 0.001717
  • Take Profit: 0.001618

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.001717 - 0.001684 = 3.3E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.001684 - 0.001618 = 6.6E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 6.6E-5 / 3.3E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
410.7052 100 243886.7121 4.11
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 3.3E-5

Taille de position = 8 / 3.3E-5 = 242424.24

Taille de position USD = 242424.24 x 0.001684 = 408.24

Donc, tu peux acheter 242424.24 avec un stoploss a 0.001717

Avec un position size USD de 408.24$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 242424.24 x 3.3E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 242424.24 x 6.6E-5 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 242424.24
  • Taille de position USD 408.24
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.92 % 16.1 $
SL % Target SL $ Target
1.96 % 8.05 $
PNL PNL %
-8.05 $ -1.96
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.3159 % 118.18 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.001618
            [entry_price] => 0.001684
            [stop_loss] => 0.0017203
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-14 18:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.001618
            [entry_price] => 0.001684
            [stop_loss] => 0.0017236
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-14 18:20:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.001618
            [entry_price] => 0.001684
            [stop_loss] => 0.0017269
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-14 18:20:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.001618
            [entry_price] => 0.001684
            [stop_loss] => 0.0017335
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-14 18:20:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00017
            [max_drawdown] => 3.9E-5
            [rr_ratio] => 4.36
            [high] => 0.00172300
            [low] => 0.00151400
            [mfe_pct] => 10.1
            [mae_pct] => 2.32
            [mfe_mae_ratio] => 4.36
            [candles_analyzed] => 24
            [start_at] => 2025-11-14T17:57:19-05:00
            [end_at] => 2025-11-14T19:57:19-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00017
            [max_drawdown] => 3.9E-5
            [rr_ratio] => 4.36
            [high] => 0.00172300
            [low] => 0.00151400
            [mfe_pct] => 10.1
            [mae_pct] => 2.32
            [mfe_mae_ratio] => 4.36
            [candles_analyzed] => 84
            [start_at] => 2025-11-14T17:57:19-05:00
            [end_at] => 2025-11-15T00:57:19-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00169400
            [high_after] => 0.00172300
            [low_before] => 0.00150700
            [low_after] => 0.00151400
            [is_new_high] => 
            [is_new_low] => 
        )

)