Short Trade on HIPPO

The 14 Nov 2025 at 17:47:05

With 261477.5403 HIPPO at 0.001669$ per unit.

Position size of 436.406 $

Take profit at 0.001608 (3.65 %) and Stop Loss at 0.0017 (1.86 %)

That's a 1.97 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.02
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
1 0.57
Prediction 3 Probability
1 0.77
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 : 0.127014

15m : 0.075675

1H : 0.074835

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 2.0396908E-5
Details
  1. score: 1.16
  2. 1H
  3. ema9 - 0.00182154
  4. ema21 - 0.00297014
  5. ema50 - 0.00469186
  6. ema100 - 0.0057649
  7. price_ema9_diff - -0.0837461
  8. ema9_ema21_diff - -0.386713
  9. ema21_ema50_diff - -0.366959
  10. price_ema100_diff - -0.710489
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - -5.00856
  14. ema_slope_21 - -4.09769
  15. ema_slope_50 - -2.38862
  16. ema_slope_100 - -1.35594
  17. rsi - 0.136386
  18. adx - 0.619657
  19. kc_percentage - -0.704004
  20. kc_width_percentage - 0.6016
  21. volume_ema_diff - -0.486799
  22. volume_ema1 - 203942.11161796
  23. volume_ema2 - 397392.65643781
  24. chop - 102.229
  25. regime - bear_high_exhausted
  26. ¸
  27. 15m
  28. ema9 - 0.00162208
  29. ema21 - 0.00163129
  30. ema50 - 0.00215586
  31. ema100 - 0.00334695
  32. price_ema9_diff - 0.0289225
  33. ema9_ema21_diff - -0.00564787
  34. ema21_ema50_diff - -0.243321
  35. price_ema100_diff - -0.501338
  36. all_emas_in_trend - True
  37. all_emas_and_price_in_trend - False
  38. ema_slope_9 - 0.3083
  39. ema_slope_21 - -0.159213
  40. ema_slope_50 - -1.12055
  41. ema_slope_100 - -1.02789
  42. rsi - 0.477051
  43. adx - 0.457536
  44. kc_percentage - 0.765503
  45. kc_width_percentage - 0.0967402
  46. volume_ema_diff - -0.6952
  47. volume_ema1 - 30701.81444564
  48. volume_ema2 - 100727.75323632
  49. chop - 58.3687
  50. regime - bear_high
  51. ¸
  52. 5m
  53. ema9 - 0.00163456
  54. ema21 - 0.00161414
  55. ema50 - 0.00160289
  56. ema100 - 0.00161665
  57. price_ema9_diff - 0.0210637
  58. ema9_ema21_diff - 0.0126508
  59. ema21_ema50_diff - 0.00702407
  60. price_ema100_diff - 0.0323817
  61. all_emas_in_trend - True
  62. all_emas_and_price_in_trend - True
  63. ema_slope_9 - 0.25573
  64. ema_slope_21 - 0.145392
  65. ema_slope_50 - 0.0621067
  66. ema_slope_100 - 0.00522032
  67. rsi - 0.748187
  68. adx - 0.212601
  69. kc_percentage - 1.16488
  70. kc_width_percentage - 0.0484714
  71. volume_ema_diff - -0.0190706
  72. volume_ema1 - 15158.714925494
  73. volume_ema2 - 15453.421959887
  74. chop - 29.8832
  75. regime - bull_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100: 95469.8
  80. 5m_price_ema100_diff: -5.71539E-5
  81. 5m_price: 95464.4
  82. 5m_correlation_with_coin: 0.127014
  83. btc_indicators
  84. 15m_ema100: 96711.1
  85. 15m_price_ema100_diff: -0.0128918
  86. 15m_price: 95464.4
  87. 15m_correlation_with_coin: 0.075675
  88. btc_indicators
  89. 1H_ema100: 100775
  90. 1H_price_ema100_diff: -0.0527031
  91. 1H_price: 95464.4
  92. 1H_correlation_with_coin: 0.074835
  93. ¸

📌 Time Data

Start at Closed at Duration
14 Nov 2025
17:47:05
14 Nov 2025
18:00:00
12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.001669 0.0017 0.001608 1.97 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 0.001669
  • Stop Loss: 0.0017
  • Take Profit: 0.001608

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0017 - 0.001669 = 3.1E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.001669 - 0.001608 = 6.1E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 6.1E-5 / 3.1E-5 = 1.9677

📌 Position Size

Amount Margin Quantity Leverage
436.406 100 261477.5403 4.36
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 3.1E-5

Taille de position = 8 / 3.1E-5 = 258064.52

Taille de position USD = 258064.52 x 0.001669 = 430.71

Donc, tu peux acheter 258064.52 avec un stoploss a 0.0017

Avec un position size USD de 430.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 258064.52 x 3.1E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 258064.52 x 6.1E-5 = 15.74

Si Take Profit atteint, tu gagneras 15.74$

Résumé

  • Taille de position 258064.52
  • Taille de position USD 430.71
  • Perte potentielle 8
  • Gain potentiel 15.74
  • Risk-Reward Ratio 1.9677

📌 Peformances

TP % Target TP $ Target
3.65 % 15.95 $
SL % Target SL $ Target
1.86 % 8.11 $
PNL PNL %
-8.11 $ -1.86
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.157 % 116.13 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.001608
            [entry_price] => 0.001669
            [stop_loss] => 0.0017031
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-14 18:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.001608
            [entry_price] => 0.001669
            [stop_loss] => 0.0017062
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-14 18:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.001608
            [entry_price] => 0.001669
            [stop_loss] => 0.0017093
            [rr_ratio] => 1.51
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-14 18:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.001608
            [entry_price] => 0.001669
            [stop_loss] => 0.0017155
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-14 18:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000155
            [max_drawdown] => 5.4E-5
            [rr_ratio] => 2.87
            [high] => 0.00172300
            [low] => 0.00151400
            [mfe_pct] => 9.29
            [mae_pct] => 3.24
            [mfe_mae_ratio] => 2.87
            [candles_analyzed] => 24
            [start_at] => 2025-11-14T17:47:05-05:00
            [end_at] => 2025-11-14T19:47:05-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000155
            [max_drawdown] => 5.4E-5
            [rr_ratio] => 2.87
            [high] => 0.00172300
            [low] => 0.00151400
            [mfe_pct] => 9.29
            [mae_pct] => 3.24
            [mfe_mae_ratio] => 2.87
            [candles_analyzed] => 84
            [start_at] => 2025-11-14T17:47:05-05:00
            [end_at] => 2025-11-15T00:47:05-05:00
        )

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

)