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Short Trade on HIPPO

Short Trade on HIPPO

The 14 Nov 2025 at 17:41:25

With 274712.6129 HIPPO at 0.001659$ per unit.

Position size of 455.7482 $

Take profit at 0.001601 (3.5 %) and Stop Loss at 0.001688 (1.75 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.18
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.76
Prediction 2 Probability
0 0.51
Prediction 3 Probability
0 0.52
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 : 0.115415

15m : 0.055091

1H : 0.06671

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 1.941422812E-5
Details
  1. score: 1.17
  2. 1H
  3. ema9 - 0.00181954
  4. ema21 - 0.00296923
  5. ema50 - 0.00469147
  6. ema100 - 0.0057647
  7. price_ema9_diff - -0.0882349
  8. ema9_ema21_diff - -0.387199
  9. ema21_ema50_diff - -0.3671
  10. price_ema100_diff - -0.712214
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - -5.01222
  14. ema_slope_21 - -4.09899
  15. ema_slope_50 - -2.38911
  16. ema_slope_100 - -1.35618
  17. rsi - 0.133135
  18. adx - 0.620862
  19. kc_percentage - -0.725218
  20. kc_width_percentage - 0.599198
  21. volume_ema_diff - -0.506931
  22. volume_ema1 - 195449.32591796
  23. volume_ema2 - 396393.50517899
  24. chop - 102.217
  25. regime - bear_high_exhausted
    26. ¸
  26. 15m
  27. ema9 - 0.00160135
  28. ema21 - 0.00162342
  29. ema50 - 0.0021701
  30. ema100 - 0.00335193
  31. price_ema9_diff - 0.0359966
  32. ema9_ema21_diff - -0.0135915
  33. ema21_ema50_diff - -0.251917
  34. price_ema100_diff - -0.505062
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.171748
  38. ema_slope_21 - -0.255785
  39. ema_slope_50 - -1.16601
  40. ema_slope_100 - -1.03668
  41. rsi - 0.406305
  42. adx - 0.499435
  43. kc_percentage - 0.776007
  44. kc_width_percentage - 0.0910171
  45. volume_ema_diff - -0.755058
  46. volume_ema1 - 24746.298451793
  47. volume_ema2 - 101029.50835094
  48. chop - 73.2069
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.00162436
  52. ema21 - 0.00160793
  53. ema50 - 0.00160029
  54. ema100 - 0.00161847
  55. price_ema9_diff - 0.0213238
  56. ema9_ema21_diff - 0.0102139
  57. ema21_ema50_diff - 0.00477483
  58. price_ema100_diff - 0.0250413
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.20357
  62. ema_slope_21 - 0.113023
  63. ema_slope_50 - 0.0440921
  64. ema_slope_100 - -0.00826266
  65. rsi - 0.721588
  66. adx - 0.180589
  67. kc_percentage - 1.16516
  68. kc_width_percentage - 0.0455015
  69. volume_ema_diff - -0.0990976
  70. volume_ema1 - 13621.208238242
  71. volume_ema2 - 15119.516284296
  72. chop - 38.2679
  73. regime - bull_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 95446.3
  77. 5m_price_ema100_diff: -0.00156537
  78. 5m_price: 95296.9
  79. 5m_correlation_with_coin: 0.115415
  80. btc_indicators
  81. 15m_ema100: 96667.5
  82. 15m_price_ema100_diff: -0.0141985
  83. 15m_price: 95295
  84. 15m_correlation_with_coin: 0.055091
  85. btc_indicators
  86. 1H_ema100: 100772
  87. 1H_price_ema100_diff: -0.0543341
  88. 1H_price: 95296.9
  89. 1H_correlation_with_coin: 0.06671
    90. ¸

📌 Time Data

Start at Closed at Duration
14 Nov 2025
17:41:25		 14 Nov 2025
17:45:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.001659 0.001688 0.001601 2 0.001094
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 0.001659
  • Stop Loss: 0.001688
  • Take Profit: 0.001601

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.001688 - 0.001659 = 2.9E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.001659 - 0.001601 = 5.8E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 5.8E-5 / 2.9E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
455.7482 100 274712.6129 4.56
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 2.9E-5

Taille de position = 8 / 2.9E-5 = 275862.07

Taille de position USD = 275862.07 x 0.001659 = 457.66

Donc, tu peux acheter 275862.07 avec un stoploss a 0.001688

Avec un position size USD de 457.66$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 275862.07 x 2.9E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 275862.07 x 5.8E-5 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 275862.07
  • Taille de position USD 457.66
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.5 % 15.93 $
SL % Target SL $ Target
1.75 % 7.97 $
PNL PNL %
-7.97 $ -1.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.1097 % 120.69 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.001601
            [entry_price] => 0.001659
            [stop_loss] => 0.0016909
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-14 17:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.001601
            [entry_price] => 0.001659
            [stop_loss] => 0.0016938
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-14 17:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.001601
            [entry_price] => 0.001659
            [stop_loss] => 0.0016967
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-14 18:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.001601
            [entry_price] => 0.001659
            [stop_loss] => 0.0017025
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-14 18:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000145
            [max_drawdown] => 6.4E-5
            [rr_ratio] => 2.27
            [high] => 0.00172300
            [low] => 0.00151400
            [mfe_pct] => 8.74
            [mae_pct] => 3.86
            [mfe_mae_ratio] => 2.27
            [candles_analyzed] => 24
            [start_at] => 2025-11-14T17:41:25-05:00
            [end_at] => 2025-11-14T19:41:25-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000145
            [max_drawdown] => 6.4E-5
            [rr_ratio] => 2.27
            [high] => 0.00172300
            [low] => 0.00151400
            [mfe_pct] => 8.74
            [mae_pct] => 3.86
            [mfe_mae_ratio] => 2.27
            [candles_analyzed] => 84
            [start_at] => 2025-11-14T17:41:25-05:00
            [end_at] => 2025-11-15T00:41:25-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00169000
            [high_after] => 0.00172300
            [low_before] => 0.00150700
            [low_after] => 0.00151400
            [is_new_high] => 
            [is_new_low] => 
        )

)