Long Trade on VOXEL

The 28 Sep 2025 at 20:12:19

With 30098.0706 VOXEL at 0.05091$ per unit.

Position size of 1532.2928 $

Take profit at 0.05144 (1.04 %) and Stop Loss at 0.05064 (0.53 %)

That's a 1.96 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.26
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.55
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low_confirmed

rules_regime_5m : bull_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : range_low

BTC Correlation Score

5m : 0.144137

15m : 0.093845

1H : -0.025892

3

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0001771985123
Details
  1. score: 2.04
  2. 1H
  3. ema9 - 0.0509546
  4. ema21 - 0.0507431
  5. ema50 - 0.0505695
  6. ema100 - 0.050813
  7. price_ema9_diff - -0.000876832
  8. ema9_ema21_diff - 0.00416775
  9. ema21_ema50_diff - 0.00343335
  10. price_ema100_diff - 0.00190727
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.0520815
  14. ema_slope_21 - 0.0890033
  15. ema_slope_50 - 0.0475542
  16. ema_slope_100 - 0.010863
  17. rsi - 0.515747
  18. adx - 0.338427
  19. kc_percentage - 0.530809
  20. kc_width_percentage - 0.0964348
  21. volume_ema_diff - -0.580118
  22. volume_ema1 - 41482.366113392
  23. volume_ema2 - 98795.308662026
  24. chop - 33.2085
  25. regime - bull_high
  26. ¸
  27. 15m
  28. ema9 - 0.0512301
  29. ema21 - 0.0510729
  30. ema50 - 0.0509243
  31. ema100 - 0.0506457
  32. price_ema9_diff - -0.00625014
  33. ema9_ema21_diff - 0.00307857
  34. ema21_ema50_diff - 0.00291905
  35. price_ema100_diff - 0.00521812
  36. all_emas_in_trend - True
  37. all_emas_and_price_in_trend - False
  38. ema_slope_9 - 0.0926256
  39. ema_slope_21 - 0.0743485
  40. ema_slope_50 - 0.0360609
  41. ema_slope_100 - 0.0283002
  42. rsi - 0.478187
  43. adx - 0.202034
  44. kc_percentage - 0.386218
  45. kc_width_percentage - 0.0297189
  46. volume_ema_diff - -0.793262
  47. volume_ema1 - 6199.7417246964
  48. volume_ema2 - 29988.496123419
  49. chop - 77.6401
  50. regime - range_high
  51. ¸
  52. 5m
  53. ema9 - 0.0511951
  54. ema21 - 0.0512811
  55. ema50 - 0.0511103
  56. ema100 - 0.0508735
  57. price_ema9_diff - -0.00557043
  58. ema9_ema21_diff - -0.00167554
  59. ema21_ema50_diff - 0.00334153
  60. price_ema100_diff - 0.000715877
  61. all_emas_in_trend - False
  62. all_emas_and_price_in_trend - False
  63. ema_slope_9 - -0.0520849
  64. ema_slope_21 - -0.00913001
  65. ema_slope_50 - 0.0183073
  66. ema_slope_100 - 0.0192303
  67. rsi - 0.360458
  68. adx - 0.300984
  69. kc_percentage - -0.0439588
  70. kc_width_percentage - 0.0134182
  71. volume_ema_diff - -0.599018
  72. volume_ema1 - 1538.8490319892
  73. volume_ema2 - 3837.7038903252
  74. chop - 42.1163
  75. regime - range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100: 110977
  80. 5m_price_ema100_diff: 0.0102555
  81. 5m_price: 112115
  82. 5m_correlation_with_coin: 0.144137
  83. btc_indicators
  84. 15m_ema100: 110159
  85. 15m_price_ema100_diff: 0.0177596
  86. 15m_price: 112115
  87. 15m_correlation_with_coin: 0.093845
  88. btc_indicators
  89. 1H_ema100: 110353
  90. 1H_price_ema100_diff: 0.0159687
  91. 1H_price: 112115
  92. 1H_correlation_with_coin: -0.025892
  93. ¸

📌 Time Data

Start at Closed at Duration
28 Sep 2025
20:12:19
28 Sep 2025
20:15:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05091 0.05064 0.05144 1.96 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 0.05091
  • Stop Loss: 0.05064
  • Take Profit: 0.05144

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05064 - 0.05091 = -0.00027

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05091 - 0.05144 = -0.00053

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00053 / -0.00027 = 1.963

📌 Position Size

Amount Margin Quantity Leverage
1532.2928 100 30098.0706 15.32
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 0.05091 = -1508.44

Donc, tu peux acheter -29629.63 avec un stoploss a 0.05064

Avec un position size USD de -1508.44$

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 -0.00053 = 15.7

Si Take Profit atteint, tu gagneras 15.7$

Résumé

  • Taille de position -29629.63
  • Taille de position USD -1508.44
  • Perte potentielle 8
  • Gain potentiel 15.7
  • Risk-Reward Ratio 1.963

📌 Peformances

TP % Target TP $ Target
1.04 % 15.95 $
SL % Target SL $ Target
0.53 % 8.13 $
PNL PNL %
-8.13 $ -0.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6089 % 114.82 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05144
            [entry_price] => 0.05091
            [stop_loss] => 0.050613
            [rr_ratio] => 1.78
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-28 20:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05144
            [entry_price] => 0.05091
            [stop_loss] => 0.050586
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-28 21:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05144
            [entry_price] => 0.05091
            [stop_loss] => 0.050559
            [rr_ratio] => 1.51
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-28 22:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05144
            [entry_price] => 0.05091
            [stop_loss] => 0.050505
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-28 22:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00015
            [max_drawdown] => 0.00056
            [rr_ratio] => 0.27
            [high] => 0.05106000
            [low] => 0.05035000
            [mfe_pct] => 0.29
            [mae_pct] => 1.1
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 24
            [start_at] => 2025-09-28T20:12:19-04:00
            [end_at] => 2025-09-28T22:12:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00015
            [max_drawdown] => 0.00186
            [rr_ratio] => 0.08
            [high] => 0.05106000
            [low] => 0.04905000
            [mfe_pct] => 0.29
            [mae_pct] => 3.65
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 84
            [start_at] => 2025-09-28T20:12:19-04:00
            [end_at] => 2025-09-29T03:12:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05172000
            [high_after] => 0.05106000
            [low_before] => 0.05038000
            [low_after] => 0.04905000
            [is_new_high] => 
            [is_new_low] => 
        )

)