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Long Trade on CYBER

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Long Trade on CYBER 04 Oct 2025 at 04:18:17

Take profit at 1.7489 (1.15 %) and Stop Loss at 1.7191 (0.57 %)

Long Trade on CYBER

The 04 Oct 2025 at 04:18:17

With 805.2594 CYBER at 1.729$ per unit.

Position size of 1392.2935 $

Take profit at 1.7489 (1.15 %) and Stop Loss at 1.7191 (0.57 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 4.29
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.76
Prediction 2 Probability
0 0.59
Prediction 3 Probability
0 0.8
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_low
BTC Correlation Score

5m : 0.195799

15m : 0.125484

1H : -0.03906

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.006623124513
Details
  1. score: 2.19
  2. 1H
  3. ema9 : 1.73966
  4. ema21 : 1.71923
  5. ema50 : 1.6723
  6. ema100 : 1.62116
  7. price_ema9_diff : -0.0061283
  8. ema9_ema21_diff : 0.0118792
  9. ema21_ema50_diff : 0.0280633
  10. price_ema100_diff : 0.0665157
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.194278
  14. ema_slope_21 : 0.243708
  15. ema_slope_50 : 0.21829
  16. ema_slope_100 : 0.171052
  17. rsi : 0.554657
  18. adx : 0.480419
  19. kc_percentage : 0.563282
  20. kc_width_percentage : 0.0721783
  21. volume_ema_diff : -0.396493
  22. volume_ema1 : 160202.75461339
  23. volume_ema2 : 265453.42785761
  24. chop : 67.3819
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 1.74485
  28. ema21 : 1.74564
  29. ema50 : 1.73482
  30. ema100 : 1.7118
  31. price_ema9_diff : -0.00908455
  32. ema9_ema21_diff : -0.000451949
  33. ema21_ema50_diff : 0.00623184
  34. price_ema100_diff : 0.0100472
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00349487
  38. ema_slope_21 : 0.0226822
  39. ema_slope_50 : 0.0419435
  40. ema_slope_100 : 0.0497576
  41. rsi : 0.424885
  42. adx : 0.189604
  43. kc_percentage : 0.180241
  44. kc_width_percentage : 0.0304052
  45. volume_ema_diff : -0.550528
  46. volume_ema1 : 33189.083513234
  47. volume_ema2 : 73840.16915611
  48. chop : 64.3874
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 1.7418
  52. ema21 : 1.74742
  53. ema50 : 1.74748
  54. ema100 : 1.74273
  55. price_ema9_diff : -0.00735341
  56. ema9_ema21_diff : -0.00321655
  57. ema21_ema50_diff : -3.19628E-5
  58. price_ema100_diff : -0.00787967
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0652305
  62. ema_slope_21 : -0.0307059
  63. ema_slope_50 : -0.00416709
  64. ema_slope_100 : 0.00509638
  65. rsi : 0.302537
  66. adx : 0.185906
  67. kc_percentage : -0.193324
  68. kc_width_percentage : 0.0151991
  69. volume_ema_diff : -0.0798119
  70. volume_ema1 : 14371.587756499
  71. volume_ema2 : 15618.099373287
  72. chop : 39.6059
  73. regime : bear_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    122253
  77. 5m_price_ema100_diff: 
    0.000875875
  78. 5m_price: 
    122360
  79. 5m_correlation_with_coin: 
    0.195799
  80. btc_indicators
  81. 15m_ema100: 
    121692
  82. 15m_price_ema100_diff: 
    0.00548357
  83. 15m_price: 
    122360
  84. 15m_correlation_with_coin: 
    0.125484
  85. btc_indicators
  86. 1H_ema100: 
    118914
  87. 1H_price_ema100_diff: 
    0.0289809
  88. 1H_price: 
    122360
  89. 1H_correlation_with_coin: 
    -0.03906
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Oct 2025
04:18:17		 04 Oct 2025
04:35:00		 16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.729 1.7191 1.7489 2.01 0.5353
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 1.729
  • Stop Loss: 1.7191
  • Take Profit: 1.7489

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.7191 - 1.729 = -0.0099

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.729 - 1.7489 = -0.0199

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0199 / -0.0099 = 2.0101

📌 Position Size

Amount Margin Quantity Leverage
1392.2935 100 805.2594 13.92
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 -0.0099

Taille de position = 8 / -0.0099 = -808.08

Taille de position USD = -808.08 x 1.729 = -1397.17

Donc, tu peux acheter -808.08 avec un stoploss a 1.7191

Avec un position size USD de -1397.17$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -808.08 x -0.0099 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -808.08 x -0.0199 = 16.08

Si Take Profit atteint, tu gagneras 16.08$

Résumé

  • Taille de position -808.08
  • Taille de position USD -1397.17
  • Perte potentielle 8
  • Gain potentiel 16.08
  • Risk-Reward Ratio 2.0101

📌 Peformances

TP % Target TP $ Target
1.15 % 16.02 $
SL % Target SL $ Target
0.57 % 7.97 $
PNL PNL %
-7.97 $ -0.57
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9138 % 159.59 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.7489
            [entry_price] => 1.729
            [stop_loss] => 1.71811
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-04 04:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.7489
            [entry_price] => 1.729
            [stop_loss] => 1.71712
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-04 04:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.7489
            [entry_price] => 1.729
            [stop_loss] => 1.71613
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-04 04:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.7489
            [entry_price] => 1.729
            [stop_loss] => 1.71415
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-04 04:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.037
            [max_drawdown] => 0.0174
            [rr_ratio] => 2.13
            [high] => 1.76600000
            [low] => 1.71160000
            [mfe_pct] => 2.14
            [mae_pct] => 1.01
            [mfe_mae_ratio] => 2.13
            [candles_analyzed] => 24
            [start_at] => 2025-10-04T04:18:17-04:00
            [end_at] => 2025-10-04T06:18:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.041
            [max_drawdown] => 0.042
            [rr_ratio] => 0.98
            [high] => 1.77000000
            [low] => 1.68700000
            [mfe_pct] => 2.37
            [mae_pct] => 2.43
            [mfe_mae_ratio] => 0.98
            [candles_analyzed] => 84
            [start_at] => 2025-10-04T04:18:17-04:00
            [end_at] => 2025-10-04T11:18:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.76840000
            [high_after] => 1.77000000
            [low_before] => 1.72600000
            [low_after] => 1.71160000
            [is_new_high] => 1
            [is_new_low] => 
        )

)