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Long Trade on CYBER

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Long Trade on CYBER 28 Jul 2025 at 03:31:54

Take profit at 1.7647 (0.87 %) and Stop Loss at 1.7393 (0.58 %)

Long Trade on CYBER

The 28 Jul 2025 at 03:31:54

With 787.1364 CYBER at 1.7495$ per unit.

Position size of 1377.0952 $

Take profit at 1.7647 (0.87 %) and Stop Loss at 1.7393 (0.58 %)

That's a 1.49 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 50
ML Pullback Score: 2.96
Prediction Score: -0.2333
Prediction 1 Probability
Weak Trade
0.76
Prediction 2 Probability
0 0.69
Prediction 3 Probability
0 0.82
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.419153

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.006775614812
Details
  1. score: 2.08
  2. 1H
  3. ema9 : 1.76254
  4. ema21 : 1.74361
  5. ema50 : 1.69765
  6. ema100 : 1.65365
  7. price_ema9_diff : -0.00740163
  8. ema9_ema21_diff : 0.0108568
  9. ema21_ema50_diff : 0.0270712
  10. price_ema100_diff : 0.0579588
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.561289
  14. adx : 0.505075
  15. kc_percentage : 0.53706
  16. kc_width_percentage : 0.0621015
  17. volume_ema_diff : -0.0568018
  18. volume_ema1 : 213247.39648978
  19. volume_ema2 : 226089.70735374
    20. ¸
  20. 15m
  21. ema9 : 1.76453
  22. ema21 : 1.76603
  23. ema50 : 1.75799
  24. ema100 : 1.73754
  25. price_ema9_diff : -0.00851885
  26. ema9_ema21_diff : -0.000849843
  27. ema21_ema50_diff : 0.00457055
  28. price_ema100_diff : 0.00688167
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.41772
  32. adx : 0.152755
  33. kc_percentage : 0.165934
  34. kc_width_percentage : 0.0284674
  35. volume_ema_diff : -0.113796
  36. volume_ema1 : 52430.90660793
  37. volume_ema2 : 59163.494293989
    38. ¸
  38. 5m
  39. ema9 : 1.75832
  40. ema21 : 1.76565
  41. ema50 : 1.76761
  42. ema100 : 1.7645
  43. price_ema9_diff : -0.00502068
  44. ema9_ema21_diff : -0.0041497
  45. ema21_ema50_diff : -0.00110832
  46. price_ema100_diff : -0.00850163
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.335781
  50. adx : 0.239275
  51. kc_percentage : -0.0844441
  52. kc_width_percentage : 0.0154806
  53. volume_ema_diff : -0.299419
  54. volume_ema1 : 14824.139532555
  55. volume_ema2 : 21159.797881415
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    119321
  59. 5m_price_ema100_diff: 
    -0.00231014
  60. 5m_price: 
    119046
  61. 5m_correlation_with_coin: 
    0.419153
  62. btc_indicators
  63. 15m_ema100: 
    118961
  64. 15m_price_ema100_diff: 
    0.000706119
  65. 15m_price: 
    119046
  66. btc_indicators
  67. 1H_ema100: 
    118129
  68. 1H_price_ema100_diff: 
    0.00775974
  69. 1H_price: 
    119046
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
28 Jul 2025
03:31:54		 28 Jul 2025
03:55:00		 23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.7495 1.7393 1.7647 1.49 0.5453
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 1.7495
  • Stop Loss: 1.7393
  • Take Profit: 1.7647

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.7393 - 1.7495 = -0.0102

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.7495 - 1.7647 = -0.0152

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0152 / -0.0102 = 1.4902

📌 Position Size

Amount Margin Quantity Leverage
1377.0952 100 787.1364 13.77
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 -0.0102

Taille de position = 8 / -0.0102 = -784.31

Taille de position USD = -784.31 x 1.7495 = -1372.15

Donc, tu peux acheter -784.31 avec un stoploss a 1.7393

Avec un position size USD de -1372.15$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -784.31 x -0.0102 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -784.31 x -0.0152 = 11.92

Si Take Profit atteint, tu gagneras 11.92$

Résumé

  • Taille de position -784.31
  • Taille de position USD -1372.15
  • Perte potentielle 8
  • Gain potentiel 11.92
  • Risk-Reward Ratio 1.4902

📌 Peformances

TP % Target TP $ Target
0.87 % 11.96 $
SL % Target SL $ Target
0.58 % 8.03 $
PNL PNL %
11.96 $ 0.87
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.7699
            [stop_loss] => 1.7393
            [rr_ratio] => 2
            [closed_at] => 2025-07-28 04:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.775
            [stop_loss] => 1.7393
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-28 04:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.7801
            [stop_loss] => 1.7393
            [rr_ratio] => 3
            [closed_at] => 2025-07-28 05:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.7852
            [stop_loss] => 1.7393
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-28 05:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.7903
            [stop_loss] => 1.7393
            [rr_ratio] => 4
            [closed_at] => 2025-07-28 05:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.7954
            [stop_loss] => 1.7393
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-28 05:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.8005
            [stop_loss] => 1.7393
            [rr_ratio] => 5
            [closed_at] => 2025-07-28 05:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.8056
            [stop_loss] => 1.7393
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-28 05:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.8107
            [stop_loss] => 1.7393
            [rr_ratio] => 6
            [closed_at] => 2025-07-28 05:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.8158
            [stop_loss] => 1.7393
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-28 05:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.8209
            [stop_loss] => 1.7393
            [rr_ratio] => 7
            [closed_at] => 2025-07-28 05:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0304
            [max_drawdown] => 0.0091000000000001
            [rr_ratio] => 3.34
            [high] => 1.77990000
            [low] => 1.74040000
            [mfe_pct] => 1.74
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 3.34
            [candles_analyzed] => 24
            [start_at] => 2025-07-28T03:31:54-04:00
            [end_at] => 2025-07-28T05:31:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0304
            [max_drawdown] => 0.0632
            [rr_ratio] => 0.48
            [high] => 1.77990000
            [low] => 1.68630000
            [mfe_pct] => 1.74
            [mae_pct] => 3.61
            [mfe_mae_ratio] => 0.48
            [candles_analyzed] => 84
            [start_at] => 2025-07-28T03:31:54-04:00
            [end_at] => 2025-07-28T10:31:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.79500000
            [high_after] => 1.77990000
            [low_before] => 1.74810000
            [low_after] => 1.70260000
            [is_new_high] => 
            [is_new_low] => 
        )

)