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Short Trade on HOLO

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Short Trade on HOLO 16 Oct 2025 at 19:47:46

Take profit at 0.1389 (1.14 %) and Stop Loss at 0.1413 (0.57 %)

Short Trade on HOLO

The 16 Oct 2025 at 19:47:46

With 9990.8223 HOLO at 0.1405$ per unit.

Position size of 1403.7105 $

Take profit at 0.1389 (1.14 %) and Stop Loss at 0.1413 (0.57 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.15
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.97
Prediction 2 Probability
1 0.58
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.820731

15m : 0.056789

1H : 0.110848

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0005338232586
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.140006
  4. ema21 : 0.14058
  5. ema50 : 0.141485
  6. ema100 : 0.142698
  7. price_ema9_diff : 0.00352141
  8. ema9_ema21_diff : -0.00408315
  9. ema21_ema50_diff : -0.00639444
  10. price_ema100_diff : -0.0154052
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0480243
  14. ema_slope_21 : -0.00335698
  15. ema_slope_50 : -0.0213914
  16. ema_slope_100 : -0.0264178
  17. rsi : 0.494415
  18. adx : 0.226407
  19. kc_percentage : 0.496179
  20. kc_width_percentage : 0.0989096
  21. volume_ema_diff : -0.337335
  22. volume_ema1 : 115448.10546091
  23. volume_ema2 : 174217.93094632
  24. chop : 48.7754
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.139454
  28. ema21 : 0.139373
  29. ema50 : 0.140066
  30. ema100 : 0.140241
  31. price_ema9_diff : 0.00750023
  32. ema9_ema21_diff : 0.000577424
  33. ema21_ema50_diff : -0.00494795
  34. price_ema100_diff : 0.00183979
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0877102
  38. ema_slope_21 : -0.0127723
  39. ema_slope_50 : -0.0338639
  40. ema_slope_100 : -0.0185225
  41. rsi : 0.548071
  42. adx : 0.153224
  43. kc_percentage : 0.734359
  44. kc_width_percentage : 0.0349745
  45. volume_ema_diff : -0.672541
  46. volume_ema1 : 14303.108936535
  47. volume_ema2 : 43679.126142224
  48. chop : 57.0739
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.139822
  52. ema21 : 0.139358
  53. ema50 : 0.13918
  54. ema100 : 0.139941
  55. price_ema9_diff : 0.00484443
  56. ema9_ema21_diff : 0.00332944
  57. ema21_ema50_diff : 0.00128163
  58. price_ema100_diff : 0.00399195
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0637708
  62. ema_slope_21 : 0.044123
  63. ema_slope_50 : 0.015263
  64. ema_slope_100 : -0.00629588
  65. rsi : 0.633043
  66. adx : 0.15029
  67. kc_percentage : 1.06169
  68. kc_width_percentage : 0.0141086
  69. volume_ema_diff : -0.541253
  70. volume_ema1 : 4137.0133828144
  71. volume_ema2 : 9018.0911518829
  72. chop : 39.7961
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    108355
  77. 5m_price_ema100_diff: 
    -0.00236078
  78. 5m_price: 
    108100
  79. 5m_correlation_with_coin: 
    0.820731
  80. btc_indicators
  81. 15m_ema100: 
    109568
  82. 15m_price_ema100_diff: 
    -0.0133983
  83. 15m_price: 
    108100
  84. 15m_correlation_with_coin: 
    0.056789
  85. btc_indicators
  86. 1H_ema100: 
    111845
  87. 1H_price_ema100_diff: 
    -0.033488
  88. 1H_price: 
    108100
  89. 1H_correlation_with_coin: 
    0.110848
    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] => 2025-10-13 21:00:00
                    [1] => 0.1596
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-14 06:00:00
                    [1] => 0.1349
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-14 15:00:00
                    [1] => 0.1468
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-15 02:00:00
                    [1] => 0.1397
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-15 04:00:00
                    [1] => 0.1462
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-15 10:00:00
                    [1] => 0.1443
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-15 16:00:00
                    [1] => 0.1372
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 05:00:00
                    [1] => 0.1357
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 10:00:00
                    [1] => 0.1478
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-16 16:00:00
                    [1] => 0.1353
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -5.2097428958051
            [ms_dist_from_last_low_pct] => 3.5476718403548
            [ms_bars_since_swing_high] => 9
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 9.2387287509239
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [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] => 2025-10-16 07:00:00
                    [1] => 0.1432
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-16 08:30:00
                    [1] => 0.1457
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-16 10:15:00
                    [1] => 0.1409
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-16 10:30:00
                    [1] => 0.1478
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-16 12:00:00
                    [1] => 0.1386
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 13:15:00
                    [1] => 0.1449
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 16:30:00
                    [1] => 0.1353
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 17:45:00
                    [1] => 0.1399
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.1378
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 19:45:00
                    [1] => 0.1406
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.35561877667141
            [ms_dist_from_last_low_pct] => 1.6690856313498
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 2.0319303338171
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [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] => 2025-10-16 14:40:00
                    [1] => 0.1417
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-16 15:35:00
                    [1] => 0.1365
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-16 15:55:00
                    [1] => 0.1396
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-16 16:30:00
                    [1] => 0.1353
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 17:50:00
                    [1] => 0.1399
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-16 18:00:00
                    [1] => 0.1399
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 18:15:00
                    [1] => 0.1385
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 18:40:00
                    [1] => 0.1391
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.1378
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 19:45:00
                    [1] => 0.1406
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.35561877667141
            [ms_dist_from_last_low_pct] => 1.6690856313498
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 2.0319303338171
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.36%
Dist From Last Low Pct
1.67%
Bars Since Swing High
0 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
2.03%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0004
0.28%
TP to Pivot Distance
0.0036
2.59%
DateTime Price Type
2025-10-16 14:40:00 0.1417 ↑ High
2025-10-16 15:35:00 0.1365 ↓ Low
2025-10-16 15:55:00 0.1396 ↑ High
2025-10-16 16:30:00 0.1353 ↓ Low
2025-10-16 17:50:00 0.1399 ↑ High
2025-10-16 18:00:00 0.1399 ↑ High
2025-10-16 18:15:00 0.1385 ↓ Low
2025-10-16 18:40:00 0.1391 ↑ High
2025-10-16 19:00:00 0.1378 ↓ Low
2025-10-16 19:45:00 0.1406 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.36%
Dist From Last Low Pct
1.67%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
2.03%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0065
4.60%
TP to Pivot Distance
0.0036
2.59%
DateTime Price Type
2025-10-16 07:00:00 0.1432 ↑ High
2025-10-16 08:30:00 0.1457 ↑ High
2025-10-16 10:15:00 0.1409 ↓ Low
2025-10-16 10:30:00 0.1478 ↑ High
2025-10-16 12:00:00 0.1386 ↓ Low
2025-10-16 13:15:00 0.1449 ↑ High
2025-10-16 16:30:00 0.1353 ↓ Low
2025-10-16 17:45:00 0.1399 ↑ High
2025-10-16 19:00:00 0.1378 ↓ Low
2025-10-16 19:45:00 0.1406 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-5.21%
Dist From Last Low Pct
3.55%
Bars Since Swing High
9 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
9.24%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0183
12.95%
TP to Pivot Distance
0.0040
2.88%
DateTime Price Type
2025-10-13 21:00:00 0.1596 ↑ High
2025-10-14 06:00:00 0.1349 ↓ Low
2025-10-14 15:00:00 0.1468 ↑ High
2025-10-15 02:00:00 0.1397 ↓ Low
2025-10-15 04:00:00 0.1462 ↑ High
2025-10-15 10:00:00 0.1443 ↑ High
2025-10-15 16:00:00 0.1372 ↓ Low
2025-10-16 05:00:00 0.1357 ↓ Low
2025-10-16 10:00:00 0.1478 ↑ High
2025-10-16 16:00:00 0.1353 ↓ Low

📌 Time Data

Start at Closed at Duration
16 Oct 2025
19:47:46		 16 Oct 2025
21:00:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1405 0.1413 0.1389 2 0.05736
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 0.1405
  • Stop Loss: 0.1413
  • Take Profit: 0.1389

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1413 - 0.1405 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1405 - 0.1389 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.0008 = 2

📌 Position Size

Amount Margin Quantity Leverage
1403.7105 100 9990.8223 14.04
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.1405 = 1405

Donc, tu peux acheter 10000 avec un stoploss a 0.1413

Avec un position size USD de 1405$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0016 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 10000
  • Taille de position USD 1405
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.14 % 15.99 $
SL % Target SL $ Target
0.57 % 7.99 $
PNL PNL %
-7.99 $ -0.57
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5694 % 100 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1389
            [entry_price] => 0.1405
            [stop_loss] => 0.14138
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-16 21:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1389
            [entry_price] => 0.1405
            [stop_loss] => 0.14146
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-16 21:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1389
            [entry_price] => 0.1405
            [stop_loss] => 0.14154
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-16 21:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1389
            [entry_price] => 0.1405
            [stop_loss] => 0.1417
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-16 21:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0015
            [max_drawdown] => 0.002
            [rr_ratio] => 0.75
            [high] => 0.14250000
            [low] => 0.13900000
            [mfe_pct] => 1.07
            [mae_pct] => 1.42
            [mfe_mae_ratio] => 0.75
            [candles_analyzed] => 24
            [start_at] => 2025-10-16T19:47:46-04:00
            [end_at] => 2025-10-16T21:47:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0085
            [max_drawdown] => 0.002
            [rr_ratio] => 4.25
            [high] => 0.14250000
            [low] => 0.13200000
            [mfe_pct] => 6.05
            [mae_pct] => 1.42
            [mfe_mae_ratio] => 4.25
            [candles_analyzed] => 84
            [start_at] => 2025-10-16T19:47:46-04:00
            [end_at] => 2025-10-17T02:47:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14060000
            [high_after] => 0.14250000
            [low_before] => 0.13530000
            [low_after] => 0.13880000
            [is_new_high] => 
            [is_new_low] => 
        )

)