Short Trade on CYBER 22 Sep 2025 at 17:22:27

Take profit at 1.6032 (0.85 %) and Stop Loss at 1.6237 (0.42 %)

Short Trade on CYBER

The 22 Sep 2025 at 17:22:27

With 1169.45 CYBER at 1.6169$ per unit.

Position size of 1890.8838 $

Take profit at 1.6032 (0.85 %) and Stop Loss at 1.6237 (0.42 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.12
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.65
Prediction 2 Probability
0 0.6
Prediction 3 Probability
1 0.61
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.413172

15m : 0.002956

1H : 0.008962

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.004560548253
Details
  1. score: 1.14
  2. 1H
  3. ema9 : 1.61198
  4. ema21 : 1.65273
  5. ema50 : 1.71661
  6. ema100 : 1.76078
  7. price_ema9_diff : 0.00305198
  8. ema9_ema21_diff : -0.0246588
  9. ema21_ema50_diff : -0.0372153
  10. price_ema100_diff : -0.0817162
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.391066
  14. ema_slope_21 : -0.463916
  15. ema_slope_50 : -0.312202
  16. ema_slope_100 : -0.19086
  17. rsi : 0.368812
  18. adx : 0.587352
  19. kc_percentage : 0.2038
  20. kc_width_percentage : 0.0676604
  21. volume_ema_diff : -0.811987
  22. volume_ema1 : 45702.821032366
  23. volume_ema2 : 243084.48877895
  24. chop : 73.8462
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.60537
  29. ema21 : 1.60379
  30. ema50 : 1.62355
  31. ema100 : 1.67199
  32. price_ema9_diff : 0.00718059
  33. ema9_ema21_diff : 0.000985905
  34. ema21_ema50_diff : -0.0121716
  35. price_ema100_diff : -0.032952
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0493168
  39. ema_slope_21 : 0.00353625
  40. ema_slope_50 : -0.0633026
  41. ema_slope_100 : -0.0920451
  42. rsi : 0.564226
  43. adx : 0.282905
  44. kc_percentage : 0.8644
  45. kc_width_percentage : 0.0225493
  46. volume_ema_diff : -0.75964
  47. volume_ema1 : 9207.241600797
  48. volume_ema2 : 38306.116326706
  49. chop : 61.7245
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 1.61021
  54. ema21 : 1.60546
  55. ema50 : 1.60252
  56. ema100 : 1.60489
  57. price_ema9_diff : 0.00414937
  58. ema9_ema21_diff : 0.00296386
  59. ema21_ema50_diff : 0.00182965
  60. price_ema100_diff : 0.00747765
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0834999
  64. ema_slope_21 : 0.047878
  65. ema_slope_50 : 0.020569
  66. ema_slope_100 : 0.00525258
  67. rsi : 0.67885
  68. adx : 0.232338
  69. kc_percentage : 1.14408
  70. kc_width_percentage : 0.0107369
  71. volume_ema_diff : -0.276893
  72. volume_ema1 : 2879.2256135617
  73. volume_ema2 : 3981.7431460968
  74. chop : 39.2428
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112549
  80. 5m_price_ema100_diff:
    0.00164399
  81. 5m_price:
    112734
  82. 5m_correlation_with_coin:
    0.413172
  83. btc_indicators
  84. 15m_ema100:
    113284
  85. 15m_price_ema100_diff:
    -0.00485915
  86. 15m_price:
    112734
  87. 15m_correlation_with_coin:
    0.002956
  88. btc_indicators
  89. 1H_ema100:
    115033
  90. 1H_price_ema100_diff:
    -0.01999
  91. 1H_price:
    112734
  92. 1H_correlation_with_coin:
    0.008962
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
17:22:27
22 Sep 2025
17:40:00
17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.6169 1.6237 1.6032 2.01 0.5532
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 1.6169
  • Stop Loss: 1.6237
  • Take Profit: 1.6032

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.6237 - 1.6169 = 0.0067999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.6169 - 1.6032 = 0.0137

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0137 / 0.0067999999999999 = 2.0147

📌 Position Size

Amount Margin Quantity Leverage
1890.8838 100 1169.45 18.91
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 0.0067999999999999

Taille de position = 8 / 0.0067999999999999 = 1176.47

Taille de position USD = 1176.47 x 1.6169 = 1902.23

Donc, tu peux acheter 1176.47 avec un stoploss a 1.6237

Avec un position size USD de 1902.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1176.47 x 0.0067999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1176.47 x 0.0137 = 16.12

Si Take Profit atteint, tu gagneras 16.12$

Résumé

  • Taille de position 1176.47
  • Taille de position USD 1902.23
  • Perte potentielle 8
  • Gain potentiel 16.12
  • Risk-Reward Ratio 2.0147

📌 Peformances

TP % Target TP $ Target
0.85 % 16.02 $
SL % Target SL $ Target
0.42 % 7.95 $
PNL PNL %
-7.95 $ -0.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.501 % 119.12 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.6032
            [entry_price] => 1.6169
            [stop_loss] => 1.62438
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.6032
            [entry_price] => 1.6169
            [stop_loss] => 1.62506
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.6032
            [entry_price] => 1.6169
            [stop_loss] => 1.62574
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 18:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.6032
            [entry_price] => 1.6169
            [stop_loss] => 1.6271
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 19:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0016
            [max_drawdown] => 0.0102
            [rr_ratio] => 0.16
            [high] => 1.62710000
            [low] => 1.61530000
            [mfe_pct] => 0.1
            [mae_pct] => 0.63
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T17:22:27-04:00
            [end_at] => 2025-09-22T19:22:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0717
            [max_drawdown] => 0.0433
            [rr_ratio] => 1.66
            [high] => 1.66020000
            [low] => 1.54520000
            [mfe_pct] => 4.43
            [mae_pct] => 2.68
            [mfe_mae_ratio] => 1.66
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T17:22:27-04:00
            [end_at] => 2025-09-23T00:22:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.61820000
            [high_after] => 1.66020000
            [low_before] => 1.58480000
            [low_after] => 1.54520000
            [is_new_high] => 
            [is_new_low] => 1
        )

)