Short Trade on CYBER 01 Sep 2025 at 05:08:41

Take profit at 1.842 (0.99 %) and Stop Loss at 1.8728 (0.66 %)

Short Trade on CYBER

The 01 Sep 2025 at 05:08:41

With 650.1101 CYBER at 1.8605$ per unit.

Position size of 1209.5299 $

Take profit at 1.842 (0.99 %) and Stop Loss at 1.8728 (0.66 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 7.31
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
1 0.68
Prediction 3 Probability
1 0.52
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : range_medium

rules_regime_5m : bull_low

BTC Correlation Score

5m : 0.439886

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.008203738161
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 1.84851
  4. ema21 : 1.87699
  5. ema50 : 1.91617
  6. ema100 : 1.94406
  7. price_ema9_diff : 0.00648169
  8. ema9_ema21_diff : -0.0151735
  9. ema21_ema50_diff : -0.0204426
  10. price_ema100_diff : -0.0429869
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.446096
  14. adx : 0.312811
  15. kc_percentage : 0.386684
  16. kc_width_percentage : 0.067878
  17. volume_ema_diff : 0.246843
  18. volume_ema1 : 371279.85592751
  19. volume_ema2 : 297775.93620144
  20. ¸
  21. 15m
  22. ema9 : 1.83944
  23. ema21 : 1.83273
  24. ema50 : 1.85248
  25. ema100 : 1.8869
  26. price_ema9_diff : 0.0114445
  27. ema9_ema21_diff : 0.00366042
  28. ema21_ema50_diff : -0.0106581
  29. price_ema100_diff : -0.0139916
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.584421
  33. adx : 0.306922
  34. kc_percentage : 0.914065
  35. kc_width_percentage : 0.0363611
  36. volume_ema_diff : -0.701755
  37. volume_ema1 : 32584.137737174
  38. volume_ema2 : 109253.26968173
  39. ¸
  40. 5m
  41. ema9 : 1.85443
  42. ema21 : 1.84157
  43. ema50 : 1.83024
  44. ema100 : 1.83307
  45. price_ema9_diff : 0.00327234
  46. ema9_ema21_diff : 0.0069815
  47. ema21_ema50_diff : 0.00618819
  48. price_ema100_diff : 0.0149589
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.712641
  52. adx : 0.387022
  53. kc_percentage : 1.09241
  54. kc_width_percentage : 0.016328
  55. volume_ema_diff : -0.848518
  56. volume_ema1 : 5739.0802317984
  57. volume_ema2 : 37886.428909816
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    108376
  62. 5m_price_ema100_diff:
    0.0108884
  63. 5m_price:
    109557
  64. 5m_correlation_with_coin:
    0.439886
  65. btc_indicators
  66. 15m_ema100:
    108465
  67. 15m_price_ema100_diff:
    0.0100623
  68. 15m_price:
    109557
  69. btc_indicators
  70. 1H_ema100:
    109545
  71. 1H_price_ema100_diff:
    0.000101666
  72. 1H_price:
    109557
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
05:08:41
01 Sep 2025
06:00:00
51 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.8605 1.8728 1.842 1.5 0.5447
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 1.8605
  • Stop Loss: 1.8728
  • Take Profit: 1.842

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8728 - 1.8605 = 0.0123

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.8605 - 1.842 = 0.0185

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0185 / 0.0123 = 1.5041

📌 Position Size

Amount Margin Quantity Leverage
1209.5299 100 650.1101 12.10
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 0.0123

Taille de position = 8 / 0.0123 = 650.41

Taille de position USD = 650.41 x 1.8605 = 1210.09

Donc, tu peux acheter 650.41 avec un stoploss a 1.8728

Avec un position size USD de 1210.09$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 650.41 x 0.0123 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 650.41 x 0.0185 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

  • Taille de position 650.41
  • Taille de position USD 1210.09
  • Perte potentielle 8
  • Gain potentiel 12.03
  • Risk-Reward Ratio 1.5041

📌 Peformances

TP % Target TP $ Target
0.99 % 12.03 $
SL % Target SL $ Target
0.66 % 8 $
PNL PNL %
12.03 $ 0.99
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6127 % 92.68 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.8359
            [stop_loss] => 1.8728
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 06:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.82975
            [stop_loss] => 1.8728
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 06:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.8236
            [stop_loss] => 1.8728
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 06:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.81745
            [stop_loss] => 1.8728
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 06:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.8113
            [stop_loss] => 1.8728
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 06:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.80515
            [stop_loss] => 1.8728
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 07:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.799
            [stop_loss] => 1.8728
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 07:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.79285
            [stop_loss] => 1.8728
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 08:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.7867
            [stop_loss] => 1.8728
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 09:00:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.78055
            [stop_loss] => 1.8728
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 09:10:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 1.7744
            [stop_loss] => 1.8728
            [rr_ratio] => 7
            [closed_at] => 2025-09-01 10:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0516
            [max_drawdown] => 0.0114
            [rr_ratio] => 4.53
            [high] => 1.87190000
            [low] => 1.80890000
            [mfe_pct] => 2.77
            [mae_pct] => 0.61
            [mfe_mae_ratio] => 4.53
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T05:08:41-04:00
            [end_at] => 2025-09-01T07:08:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.096
            [max_drawdown] => 0.0114
            [rr_ratio] => 8.42
            [high] => 1.87190000
            [low] => 1.76450000
            [mfe_pct] => 5.16
            [mae_pct] => 0.61
            [mfe_mae_ratio] => 8.42
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T05:08:41-04:00
            [end_at] => 2025-09-01T12:08:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.86160000
            [high_after] => 1.87190000
            [low_before] => 1.75460000
            [low_after] => 1.76730000
            [is_new_high] => 
            [is_new_low] => 
        )

)