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Long Trade on VOXEL

Long Trade on VOXEL

The 28 Sep 2025 at 20:28:33

With 29189.296 VOXEL at 0.05076$ per unit.

Position size of 1481.6487 $

Take profit at 0.05131 (1.08 %) and Stop Loss at 0.05049 (0.53 %)

That's a 2.04 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.68
Prediction Score: 5
Prediction 1 Probability
Weak Trade
0.52
Prediction 2 Probability
2 0.42
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low_exhausted

rules_regime_5m : bull_low

1H_regime : range_high

15m_regime : range_high

5m_regime : range_low
BTC Correlation Score

5m : 0.213148

15m : -0.118368

1H : -0.072425

 3

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.000182715381
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 0.0509246
  4. ema21 - 0.0507295
  5. ema50 - 0.0505636
  6. ema100 - 0.0508101
  7. price_ema9_diff - -0.00323377
  8. ema9_ema21_diff - 0.00384631
  9. ema21_ema50_diff - 0.0032804
  10. price_ema100_diff - -0.000986325
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.0471445
  14. ema_slope_21 - 0.0867399
  15. ema_slope_50 - 0.0465794
  16. ema_slope_100 - 0.0103752
  17. rsi - 0.506646
  18. adx - 0.335204
  19. kc_percentage - 0.5031
  20. kc_width_percentage - 0.0987687
  21. volume_ema_diff - -0.496841
  22. volume_ema1 - 50227.385714669
  23. volume_ema2 - 99824.134497471
  24. chop - 33.2456
  25. regime - range_high
    26. ¸
  26. 15m
  27. ema9 - 0.0510997
  28. ema21 - 0.0510275
  29. ema50 - 0.0509124
  30. ema100 - 0.0506591
  31. price_ema9_diff - -0.00664889
  32. ema9_ema21_diff - 0.00141449
  33. ema21_ema50_diff - 0.00226044
  34. price_ema100_diff - 0.00199122
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0555101
  38. ema_slope_21 - 0.0590558
  39. ema_slope_50 - 0.0307669
  40. ema_slope_100 - 0.0251962
  41. rsi - 0.432324
  42. adx - 0.189575
  43. kc_percentage - 0.315995
  44. kc_width_percentage - 0.0293083
  45. volume_ema_diff - -0.610117
  46. volume_ema1 - 11585.584663844
  47. volume_ema2 - 29715.595494411
  48. chop - 70.3852
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0509451
  52. ema21 - 0.0511299
  53. ema50 - 0.0510384
  54. ema100 - 0.0506956
  55. price_ema9_diff - -0.00363363
  56. ema9_ema21_diff - -0.00361576
  57. ema21_ema50_diff - 0.00179349
  58. price_ema100_diff - 0.00126925
  59. all_emas_in_trend - False
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - -0.0889277
  62. ema_slope_21 - -0.0391946
  63. ema_slope_50 - 0.00350941
  64. ema_slope_100 - 0.0178066
  65. rsi - 0.361202
  66. adx - 0.323113
  67. kc_percentage - -0.00791113
  68. kc_width_percentage - 0.014118
  69. volume_ema_diff - 0.120195
  70. volume_ema1 - 4600.235335906
  71. volume_ema2 - 4106.635637351
  72. chop - 34.6523
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 111061
  77. 5m_price_ema100_diff: 0.00982708
  78. 5m_price: 112153
  79. 5m_correlation_with_coin: 0.213148
  80. btc_indicators
  81. 15m_ema100: 110199
  82. 15m_price_ema100_diff: 0.0157472
  83. 15m_price: 111935
  84. 15m_correlation_with_coin: -0.118368
  85. btc_indicators
  86. 1H_ema100: 110354
  87. 1H_price_ema100_diff: 0.0163026
  88. 1H_price: 112153
  89. 1H_correlation_with_coin: -0.072425
    90. ¸

📌 Time Data

Start at Closed at Duration
28 Sep 2025
20:28:33		 28 Sep 2025
22:00:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05076 0.05049 0.05131 2.04 0.03017
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 0.05076
  • Stop Loss: 0.05049
  • Take Profit: 0.05131

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05049 - 0.05076 = -0.00027

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05076 - 0.05131 = -0.00055

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00055 / -0.00027 = 2.037

📌 Position Size

Amount Margin Quantity Leverage
1481.6487 100 29189.296 14.82
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 -0.00027

Taille de position = 8 / -0.00027 = -29629.63

Taille de position USD = -29629.63 x 0.05076 = -1504

Donc, tu peux acheter -29629.63 avec un stoploss a 0.05049

Avec un position size USD de -1504$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -29629.63 x -0.00027 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -29629.63 x -0.00055 = 16.3

Si Take Profit atteint, tu gagneras 16.3$

Résumé

  • Taille de position -29629.63
  • Taille de position USD -1504
  • Perte potentielle 8
  • Gain potentiel 16.3
  • Risk-Reward Ratio 2.037

📌 Peformances

TP % Target TP $ Target
1.08 % 16.05 $
SL % Target SL $ Target
0.53 % 7.88 $
PNL PNL %
-7.88 $ -0.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5713 % 107.41 % 10

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05131
            [entry_price] => 0.05076
            [stop_loss] => 0.050463
            [rr_ratio] => 1.85
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-28 22:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05131
            [entry_price] => 0.05076
            [stop_loss] => 0.050436
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-28 22:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05131
            [entry_price] => 0.05076
            [stop_loss] => 0.050409
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-28 22:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05131
            [entry_price] => 0.05076
            [stop_loss] => 0.050355
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-28 22:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0003
            [max_drawdown] => 0.00041
            [rr_ratio] => 0.73
            [high] => 0.05106000
            [low] => 0.05035000
            [mfe_pct] => 0.59
            [mae_pct] => 0.81
            [mfe_mae_ratio] => 0.73
            [candles_analyzed] => 24
            [start_at] => 2025-09-28T20:28:33-04:00
            [end_at] => 2025-09-28T22:28:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0003
            [max_drawdown] => 0.00185
            [rr_ratio] => 0.16
            [high] => 0.05106000
            [low] => 0.04891000
            [mfe_pct] => 0.59
            [mae_pct] => 3.64
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 84
            [start_at] => 2025-09-28T20:28:33-04:00
            [end_at] => 2025-09-29T03:28:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05172000
            [high_after] => 0.05106000
            [low_before] => 0.05060000
            [low_after] => 0.04905000
            [is_new_high] => 
            [is_new_low] => 
        )

)