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Long Trade on VOXEL

Long Trade on VOXEL

The 09 Jul 2025 at 16:49:51

With 12942.9642 VOXEL at 0.05305$ per unit.

Position size of 686.6243 $

Take profit at 0.05398 (1.75 %) and Stop Loss at 0.05243 (1.17 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 40
ML Pullback Score: 5.24
Prediction Score: 0.2538
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.5
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.072706

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0004120642872
Details
  1. score: 2.09
  2. 1H
  3. ema9 - 0.0541743
  4. ema21 - 0.053002
  5. ema50 - 0.0506424
  6. ema100 - 0.0486434
  7. price_ema9_diff - -0.020754
  8. ema9_ema21_diff - 0.022117
  9. ema21_ema50_diff - 0.0465932
  10. price_ema100_diff - 0.0905885
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.529869
  14. kc_percentage - 0.493151
  15. kc_width_percentage - 0.165936
  16. volume_ema_diff - 0.0829891
  17. volume_ema1 - 290054.81836179
  18. volume_ema2 - 267827.99900111
    19. ¸
  19. 15m
  20. ema9 - 0.0539422
  21. ema21 - 0.0543812
  22. ema50 - 0.0540061
  23. ema100 - 0.0527567
  24. price_ema9_diff - -0.0165402
  25. ema9_ema21_diff - -0.00807295
  26. ema21_ema50_diff - 0.00694497
  27. price_ema100_diff - 0.00555788
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.384424
  31. kc_percentage - 0.129585
  32. kc_width_percentage - 0.0668925
  33. volume_ema_diff - -0.524397
  34. volume_ema1 - 43169.460485669
  35. volume_ema2 - 90767.953912022
    36. ¸
  36. 5m
  37. ema9 - 0.0536547
  38. ema21 - 0.054007
  39. ema50 - 0.0544025
  40. ema100 - 0.054526
  41. price_ema9_diff - -0.0112707
  42. ema9_ema21_diff - -0.00652356
  43. ema21_ema50_diff - -0.00726904
  44. price_ema100_diff - -0.0270697
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.298066
  48. kc_percentage - -0.0896391
  49. kc_width_percentage - 0.0299295
  50. volume_ema_diff - 0.00181628
  51. volume_ema1 - 23487.994003605
  52. volume_ema2 - 23445.410383263
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 109820
  56. 5m_price_ema100_diff: 0.00853088
  57. 5m_price: 110757
  58. 5m_correlation_with_coin: 0.072706
  59. btc_indicators
  60. 15m_ema100: 109201
  61. 15m_price_ema100_diff: 0.0142464
  62. 15m_price: 110757
  63. btc_indicators
  64. 1H_ema100: 108643
  65. 1H_price_ema100_diff: 0.0194579
  66. 1H_price: 110757
    67. ¸

📌 Time Data

Start at Closed at Duration
09 Jul 2025
16:49:51		 09 Jul 2025
17:25:00		 35 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05305 0.05243 0.05398 1.5 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 0.05305
  • Stop Loss: 0.05243
  • Take Profit: 0.05398

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05243 - 0.05305 = -0.00062

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05305 - 0.05398 = -0.00093

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00093 / -0.00062 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
686.6243 100 12942.9642 6.87
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 -0.00062

Taille de position = 8 / -0.00062 = -12903.23

Taille de position USD = -12903.23 x 0.05305 = -684.52

Donc, tu peux acheter -12903.23 avec un stoploss a 0.05243

Avec un position size USD de -684.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -12903.23 x -0.00062 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -12903.23 x -0.00093 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -12903.23
  • Taille de position USD -684.52
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.75 % 12.04 $
SL % Target SL $ Target
1.17 % 8.02 $
PNL PNL %
12.04 $ 1.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.05429
            [stop_loss] => 0.05243
            [rr_ratio] => 2
            [closed_at] => 2025-07-09 17:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0546
            [stop_loss] => 0.05243
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-09 21:50:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.05491
            [stop_loss] => 0.05243
            [rr_ratio] => 3
            [closed_at] => 2025-07-09 21:50:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.05522
            [stop_loss] => 0.05243
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-09 21:50:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.05553
            [stop_loss] => 0.05243
            [rr_ratio] => 4
            [closed_at] => 2025-07-09 21:50:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.05584
            [stop_loss] => 0.05243
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-09 21:50:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.05615
            [stop_loss] => 0.05243
            [rr_ratio] => 5
            [closed_at] => 2025-07-09 21:50:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.05646
            [stop_loss] => 0.05243
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-09 21:50:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.05677
            [stop_loss] => 0.05243
            [rr_ratio] => 6
            [closed_at] => 2025-07-09 21:50:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.05708
            [stop_loss] => 0.05243
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-09 21:50:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.05739
            [stop_loss] => 0.05243
            [rr_ratio] => 7
            [closed_at] => 2025-07-09 21:50:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00147
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.05452000
            [low] => 0.05305000
            [mfe_pct] => 2.77
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-07-09T16:49:51-04:00
            [end_at] => 2025-07-09T18:49:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00147
            [max_drawdown] => 0.00071
            [rr_ratio] => 2.07
            [high] => 0.05452000
            [low] => 0.05234000
            [mfe_pct] => 2.77
            [mae_pct] => 1.34
            [mfe_mae_ratio] => 2.07
            [candles_analyzed] => 72
            [start_at] => 2025-07-09T16:49:51-04:00
            [end_at] => 2025-07-09T22:49:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05593000
            [high_after] => 0.05452000
            [low_before] => 0.05295000
            [low_after] => 0.05234000
            [is_new_high] => 
            [is_new_low] => 
        )

)