Short Trade on CYBER 01 Sep 2025 at 04:37:18

Take profit at 1.8398 (1.14 %) and Stop Loss at 1.8751 (0.76 %)

Short Trade on CYBER

The 01 Sep 2025 at 04:37:18

With 566.5461 CYBER at 1.861$ per unit.

Position size of 1054.3423 $

Take profit at 1.8398 (1.14 %) and Stop Loss at 1.8751 (0.76 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 120
ML Pullback Score: 7.4
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.87
Prediction 2 Probability
1 0.66
Prediction 3 Probability
0 0.55
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : range_medium

rules_regime_5m : bull_low

BTC Correlation Score

5m : 0.461904

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.32
  4. atr: 0.009413767613
Details
  1. score: 1.32
  2. 1H
  3. ema9 : 1.84634
  4. ema21 : 1.87902
  5. ema50 : 1.91874
  6. ema100 : 1.94684
  7. price_ema9_diff : 0.00793834
  8. ema9_ema21_diff : -0.0173916
  9. ema21_ema50_diff : -0.0207013
  10. price_ema100_diff : -0.0440954
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.446497
  14. adx : 0.3139
  15. kc_percentage : 0.385816
  16. kc_width_percentage : 0.0739191
  17. volume_ema_diff : 0.730271
  18. volume_ema1 : 538792.80919459
  19. volume_ema2 : 311391.97172885
  20. ¸
  21. 15m
  22. ema9 : 1.82854
  23. ema21 : 1.82728
  24. ema50 : 1.85159
  25. ema100 : 1.88533
  26. price_ema9_diff : 0.017748
  27. ema9_ema21_diff : 0.000689644
  28. ema21_ema50_diff : -0.0131261
  29. price_ema100_diff : -0.01291
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.573555
  33. adx : 0.333425
  34. kc_percentage : 0.958669
  35. kc_width_percentage : 0.0402094
  36. volume_ema_diff : -0.598113
  37. volume_ema1 : 47169.203626974
  38. volume_ema2 : 117369.33687201
  39. ¸
  40. 5m
  41. ema9 : 1.84721
  42. ema21 : 1.8303
  43. ema50 : 1.82331
  44. ema100 : 1.83026
  45. price_ema9_diff : 0.00746472
  46. ema9_ema21_diff : 0.00923823
  47. ema21_ema50_diff : 0.00383071
  48. price_ema100_diff : 0.0167943
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.745505
  52. adx : 0.353796
  53. kc_percentage : 1.32094
  54. kc_width_percentage : 0.0194942
  55. volume_ema_diff : -0.858478
  56. volume_ema1 : 6574.3519428286
  57. volume_ema2 : 46454.948264579
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    108140
  62. 5m_price_ema100_diff:
    0.0121506
  63. 5m_price:
    109454
  64. 5m_correlation_with_coin:
    0.461904
  65. btc_indicators
  66. 15m_ema100:
    108392
  67. 15m_price_ema100_diff:
    0.00987575
  68. 15m_price:
    109463
  69. btc_indicators
  70. 1H_ema100:
    109495
  71. 1H_price_ema100_diff:
    -0.00036756
  72. 1H_price:
    109454
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
04:37:18
01 Sep 2025
06:15:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.861 1.8751 1.8398 1.5 0.5319
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 1.861
  • Stop Loss: 1.8751
  • Take Profit: 1.8398

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8751 - 1.861 = 0.0141

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.861 - 1.8398 = 0.0212

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0212 / 0.0141 = 1.5035

📌 Position Size

Amount Margin Quantity Leverage
1054.3423 100 566.5461 10.54
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 0.0141

Taille de position = 8 / 0.0141 = 567.38

Taille de position USD = 567.38 x 1.861 = 1055.89

Donc, tu peux acheter 567.38 avec un stoploss a 1.8751

Avec un position size USD de 1055.89$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 567.38 x 0.0141 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 567.38 x 0.0212 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

  • Taille de position 567.38
  • Taille de position USD 1055.89
  • Perte potentielle 8
  • Gain potentiel 12.03
  • Risk-Reward Ratio 1.5035

📌 Peformances

TP % Target TP $ Target
1.14 % 12.01 $
SL % Target SL $ Target
0.76 % 7.99 $
PNL PNL %
12.01 $ 1.14
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5857 % 77.3 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.8328
            [stop_loss] => 1.8751
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 06:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.82575
            [stop_loss] => 1.8751
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 06:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.8187
            [stop_loss] => 1.8751
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 06:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.81165
            [stop_loss] => 1.8751
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 06:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.8046
            [stop_loss] => 1.8751
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 07:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.79755
            [stop_loss] => 1.8751
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 07:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.7905
            [stop_loss] => 1.8751
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 08:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.78345
            [stop_loss] => 1.8751
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 09:10:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.7764
            [stop_loss] => 1.8751
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 09:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0495
            [max_drawdown] => 0.0109
            [rr_ratio] => 4.54
            [high] => 1.87190000
            [low] => 1.81150000
            [mfe_pct] => 2.66
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 4.54
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T04:37:18-04:00
            [end_at] => 2025-09-01T06:37:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0965
            [max_drawdown] => 0.0109
            [rr_ratio] => 8.85
            [high] => 1.87190000
            [low] => 1.76450000
            [mfe_pct] => 5.19
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 8.85
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T04:37:18-04:00
            [end_at] => 2025-09-01T11:37:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.86120000
            [high_after] => 1.87190000
            [low_before] => 1.75460000
            [low_after] => 1.76990000
            [is_new_high] => 
            [is_new_low] => 
        )

)