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Long Trade on HIPPO

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Long Trade on HIPPO 26 Sep 2025 at 10:49:05

Take profit at 0.003365 (3.32 %) and Stop Loss at 0.003203 (1.66 %)

Long Trade on HIPPO

The 26 Sep 2025 at 10:49:05

With 148355.6979 HIPPO at 0.003257$ per unit.

Position size of 483.1945 $

Take profit at 0.003365 (3.32 %) and Stop Loss at 0.003203 (1.66 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.03
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.71
Prediction 3 Probability
0 0.77
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_high
BTC Correlation Score

5m : 0.424903

15m : -0.089366

1H : -0.053705

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 3.594963597E-5
Details
  1. score: 2.12
  2. 1H
  3. ema9 : 0.00332865
  4. ema21 : 0.00323539
  5. ema50 : 0.0030318
  6. ema100 : 0.00287357
  7. price_ema9_diff : -0.021526
  8. ema9_ema21_diff : 0.0288229
  9. ema21_ema50_diff : 0.0671514
  10. price_ema100_diff : 0.13343
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.382588
  14. ema_slope_21 : 0.482734
  15. ema_slope_50 : 0.489627
  16. ema_slope_100 : 0.349086
  17. rsi : 0.545811
  18. adx : 0.512638
  19. kc_percentage : 0.52609
  20. kc_width_percentage : 0.155309
  21. volume_ema_diff : -0.0194068
  22. volume_ema1 : 680209.1916342
  23. volume_ema2 : 693671.17671913
  24. chop : 58.1129
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 0.00334063
  28. ema21 : 0.00334532
  29. ema50 : 0.00330267
  30. ema100 : 0.00324061
  31. price_ema9_diff : -0.0250354
  32. ema9_ema21_diff : -0.00140232
  33. ema21_ema50_diff : 0.0129154
  34. price_ema100_diff : 0.00505508
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.000261379
  38. ema_slope_21 : 0.0717396
  39. ema_slope_50 : 0.097615
  40. ema_slope_100 : 0.0887599
  41. rsi : 0.414621
  42. adx : 0.227585
  43. kc_percentage : 0.132883
  44. kc_width_percentage : 0.0747101
  45. volume_ema_diff : -0.172247
  46. volume_ema1 : 152594.44674758
  47. volume_ema2 : 184347.97120549
  48. chop : 47.8158
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.00331037
  52. ema21 : 0.00335174
  53. ema50 : 0.00335894
  54. ema100 : 0.00333631
  55. price_ema9_diff : -0.0161238
  56. ema9_ema21_diff : -0.0123435
  57. ema21_ema50_diff : -0.00214274
  58. price_ema100_diff : -0.0237737
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.256929
  62. ema_slope_21 : -0.107719
  63. ema_slope_50 : -0.0205992
  64. ema_slope_100 : 0.00974187
  65. rsi : 0.315997
  66. adx : 0.299195
  67. kc_percentage : -0.121968
  68. kc_width_percentage : 0.0460028
  69. volume_ema_diff : -0.0318526
  70. volume_ema1 : 58602.988330804
  71. volume_ema2 : 60531.060947086
  72. chop : 23.2162
  73. regime : bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109209
  77. 5m_price_ema100_diff: 
    -0.00302763
  78. 5m_price: 
    108879
  79. 5m_correlation_with_coin: 
    0.424903
  80. btc_indicators
  81. 15m_ema100: 
    109609
  82. 15m_price_ema100_diff: 
    -0.00666448
  83. 15m_price: 
    108879
  84. 15m_correlation_with_coin: 
    -0.089366
  85. btc_indicators
  86. 1H_ema100: 
    111331
  87. 1H_price_ema100_diff: 
    -0.0220265
  88. 1H_price: 
    108879
  89. 1H_correlation_with_coin: 
    -0.053705
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-23 10:00:00
                    [1] => 0.002537
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-23 20:00:00
                    [1] => 0.002374
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-24 02:00:00
                    [1] => 0.002588
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-24 07:00:00
                    [1] => 0.002466
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-24 16:00:00
                    [1] => 0.002657
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-24 20:00:00
                    [1] => 0.002568
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-25 18:00:00
                    [1] => 0.003351
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-25 23:00:00
                    [1] => 0.003091
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-26 09:00:00
                    [1] => 0.003462
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-26 10:00:00
                    [1] => 0.003225
                    [2] => L
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -6.210283073368
            [ms_dist_from_last_low_pct] => 0.68217054263566
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 7.3488372093023
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-25 16:00:00
                    [1] => 0.003172
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-25 18:00:00
                    [1] => 0.003351
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-25 20:15:00
                    [1] => 0.003324
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-25 21:45:00
                    [1] => 0.003313
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-25 23:45:00
                    [1] => 0.003091
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-26 04:45:00
                    [1] => 0.003421
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-26 05:15:00
                    [1] => 0.003421
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-26 06:15:00
                    [1] => 0.003272
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-26 09:45:00
                    [1] => 0.003462
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-26 10:30:00
                    [1] => 0.003225
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -6.210283073368
            [ms_dist_from_last_low_pct] => 0.68217054263566
            [ms_bars_since_swing_high] => 4
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 7.3488372093023
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-26 05:45:00
                    [1] => 0.003316
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-26 06:00:00
                    [1] => 0.003409
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-26 06:25:00
                    [1] => 0.003272
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-26 06:50:00
                    [1] => 0.003383
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-26 07:10:00
                    [1] => 0.003287
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-26 07:50:00
                    [1] => 0.003381
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-26 08:10:00
                    [1] => 0.003298
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-26 09:45:00
                    [1] => 0.003404
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-26 09:55:00
                    [1] => 0.003462
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-26 10:30:00
                    [1] => 0.003225
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -6.210283073368
            [ms_dist_from_last_low_pct] => 0.68217054263566
            [ms_bars_since_swing_high] => 10
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 7.3488372093023
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-6.21%
Dist From Last Low Pct
0.68%
Bars Since Swing High
10 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
7.35%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.69%
TP to Pivot Distance
0.0001
2.88%
DateTime Price Type
2025-09-26 05:45:00 0.003316 ↓ Low
2025-09-26 06:00:00 0.003409 ↑ High
2025-09-26 06:25:00 0.003272 ↓ Low
2025-09-26 06:50:00 0.003383 ↑ High
2025-09-26 07:10:00 0.003287 ↓ Low
2025-09-26 07:50:00 0.003381 ↑ High
2025-09-26 08:10:00 0.003298 ↓ Low
2025-09-26 09:45:00 0.003404 ↓ Low
2025-09-26 09:55:00 0.003462 ↑ High
2025-09-26 10:30:00 0.003225 ↓ Low
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-6.21%
Dist From Last Low Pct
0.68%
Bars Since Swing High
4 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
7.35%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
3.50%
TP to Pivot Distance
0.0001
2.88%
DateTime Price Type
2025-09-25 16:00:00 0.003172 ↓ Low
2025-09-25 18:00:00 0.003351 ↑ High
2025-09-25 20:15:00 0.003324 ↑ High
2025-09-25 21:45:00 0.003313 ↑ High
2025-09-25 23:45:00 0.003091 ↓ Low
2025-09-26 04:45:00 0.003421 ↑ High
2025-09-26 05:15:00 0.003421 ↑ High
2025-09-26 06:15:00 0.003272 ↓ Low
2025-09-26 09:45:00 0.003462 ↑ High
2025-09-26 10:30:00 0.003225 ↓ Low
1H - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-6.21%
Dist From Last Low Pct
0.68%
Bars Since Swing High
1 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
7.35%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0008
25.88%
TP to Pivot Distance
0.0001
2.88%
DateTime Price Type
2025-09-23 10:00:00 0.002537 ↑ High
2025-09-23 20:00:00 0.002374 ↓ Low
2025-09-24 02:00:00 0.002588 ↑ High
2025-09-24 07:00:00 0.002466 ↓ Low
2025-09-24 16:00:00 0.002657 ↑ High
2025-09-24 20:00:00 0.002568 ↓ Low
2025-09-25 18:00:00 0.003351 ↑ High
2025-09-25 23:00:00 0.003091 ↓ Low
2025-09-26 09:00:00 0.003462 ↑ High
2025-09-26 10:00:00 0.003225 ↓ Low

📌 Time Data

Start at Closed at Duration
26 Sep 2025
10:49:05		 26 Sep 2025
11:20:00		 30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.003257 0.003203 0.003365 2 0.000989
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 0.003257
  • Stop Loss: 0.003203
  • Take Profit: 0.003365

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.003203 - 0.003257 = -5.4E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.003257 - 0.003365 = -0.000108

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.000108 / -5.4E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
483.1945 100 148355.6979 4.83
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 -5.4E-5

Taille de position = 8 / -5.4E-5 = -148148.15

Taille de position USD = -148148.15 x 0.003257 = -482.52

Donc, tu peux acheter -148148.15 avec un stoploss a 0.003203

Avec un position size USD de -482.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -148148.15 x -5.4E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -148148.15 x -0.000108 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -148148.15
  • Taille de position USD -482.52
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.32 % 16.02 $
SL % Target SL $ Target
1.66 % 8.01 $
PNL PNL %
-8.01 $ -1.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.1492 % 129.63 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.003365
            [entry_price] => 0.003257
            [stop_loss] => 0.0031976
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-26 11:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.003365
            [entry_price] => 0.003257
            [stop_loss] => 0.0031922
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-26 11:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.003365
            [entry_price] => 0.003257
            [stop_loss] => 0.0031868
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-26 11:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.003365
            [entry_price] => 0.003257
            [stop_loss] => 0.003176
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-26 11:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.0E-6
            [max_drawdown] => 0.000157
            [rr_ratio] => 0.02
            [high] => 0.00326000
            [low] => 0.00310000
            [mfe_pct] => 0.09
            [mae_pct] => 4.82
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 24
            [start_at] => 2025-09-26T10:49:05-04:00
            [end_at] => 2025-09-26T12:49:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.0E-6
            [max_drawdown] => 0.000157
            [rr_ratio] => 0.02
            [high] => 0.00326000
            [low] => 0.00310000
            [mfe_pct] => 0.09
            [mae_pct] => 4.82
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 84
            [start_at] => 2025-09-26T10:49:05-04:00
            [end_at] => 2025-09-26T17:49:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00346200
            [high_after] => 0.00326000
            [low_before] => 0.00322500
            [low_after] => 0.00310000
            [is_new_high] => 
            [is_new_low] => 
        )

)