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Short Trade on CELO

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Short Trade on CELO 16 Sep 2025 at 01:15:22

Take profit at 0.3007 (0.66 %) and Stop Loss at 0.3037 (0.33 %)

Short Trade on CELO

The 16 Sep 2025 at 01:15:22

With 8175.9409 CELO at 0.3027$ per unit.

Position size of 2474.8573 $

Take profit at 0.3007 (0.66 %) and Stop Loss at 0.3037 (0.33 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.05
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
0 0.7
Prediction 3 Probability
0 0.72
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.71756

15m : -0.032361

1H : 0.013932

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0006523204338
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.30225
  4. ema21 : 0.304777
  5. ema50 : 0.310568
  6. ema100 : 0.314121
  7. price_ema9_diff : 0.00148705
  8. ema9_ema21_diff : -0.00829238
  9. ema21_ema50_diff : -0.018645
  10. price_ema100_diff : -0.0363596
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0594485
  14. ema_slope_21 : -0.135586
  15. ema_slope_50 : -0.130078
  16. ema_slope_100 : -0.0818771
  17. rsi : 0.40676
  18. adx : 0.503701
  19. kc_percentage : 0.341804
  20. kc_width_percentage : 0.038203
  21. volume_ema_diff : -0.388953
  22. volume_ema1 : 120505.18658949
  23. volume_ema2 : 197211.08232133
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.301377
  27. ema21 : 0.301821
  28. ema50 : 0.303077
  29. ema100 : 0.306118
  30. price_ema9_diff : 0.00438715
  31. ema9_ema21_diff : -0.00146859
  32. ema21_ema50_diff : -0.00414655
  33. price_ema100_diff : -0.0111657
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0455214
  37. ema_slope_21 : -0.0434359
  38. ema_slope_50 : -0.0343837
  39. ema_slope_100 : -0.0373972
  40. rsi : 0.533197
  41. adx : 0.240293
  42. kc_percentage : 0.679435
  43. kc_width_percentage : 0.0169485
  44. volume_ema_diff : -0.1857
  45. volume_ema1 : 33028.45647183
  46. volume_ema2 : 40560.574795999
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.301452
  50. ema21 : 0.301051
  51. ema50 : 0.30157
  52. ema100 : 0.302382
  53. price_ema9_diff : 0.0041395
  54. ema9_ema21_diff : 0.00133175
  55. ema21_ema50_diff : -0.00172121
  56. price_ema100_diff : 0.00104905
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0387713
  60. ema_slope_21 : 0.00427278
  61. ema_slope_50 : -0.0109177
  62. ema_slope_100 : -0.0113743
  63. rsi : 0.645726
  64. adx : 0.225207
  65. kc_percentage : 1.12811
  66. kc_width_percentage : 0.0086725
  67. volume_ema_diff : 0.0504416
  68. volume_ema1 : 13262.127484616
  69. volume_ema2 : 12625.287490386
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115240
  74. 5m_price_ema100_diff: 
    0.00461223
  75. 5m_price: 
    115772
  76. 5m_correlation_with_coin: 
    0.71756
  77. btc_indicators
  78. 15m_ema100: 
    115287
  79. 15m_price_ema100_diff: 
    0.0042009
  80. 15m_price: 
    115772
  81. 15m_correlation_with_coin: 
    -0.032361
  82. btc_indicators
  83. 1H_ema100: 
    115410
  84. 1H_price_ema100_diff: 
    0.00313005
  85. 1H_price: 
    115772
  86. 1H_correlation_with_coin: 
    0.013932
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
01:15:22		 16 Sep 2025
01:50:00		 34 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3027 0.3037 0.3007 2 0.0798
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 0.3027
  • Stop Loss: 0.3037
  • Take Profit: 0.3007

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3037 - 0.3027 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3027 - 0.3007 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.001 = 2

📌 Position Size

Amount Margin Quantity Leverage
2474.8573 100 8175.9409 24.75
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.3027 = 2421.6

Donc, tu peux acheter 8000 avec un stoploss a 0.3037

Avec un position size USD de 2421.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8000
  • Taille de position USD 2421.6
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.66 % 16.35 $
SL % Target SL $ Target
0.33 % 8.18 $
PNL PNL %
-8.18 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3634 % 109.99 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3007
            [entry_price] => 0.3027
            [stop_loss] => 0.3038
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 01:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3007
            [entry_price] => 0.3027
            [stop_loss] => 0.3039
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 01:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3007
            [entry_price] => 0.3027
            [stop_loss] => 0.304
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 01:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3007
            [entry_price] => 0.3027
            [stop_loss] => 0.3042
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 01:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0018
            [max_drawdown] => 0.0017
            [rr_ratio] => 1.06
            [high] => 0.30440000
            [low] => 0.30090000
            [mfe_pct] => 0.59
            [mae_pct] => 0.56
            [mfe_mae_ratio] => 1.06
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T01:15:22-04:00
            [end_at] => 2025-09-16T03:15:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0018
            [max_drawdown] => 0.0054
            [rr_ratio] => 0.33
            [high] => 0.30810000
            [low] => 0.30090000
            [mfe_pct] => 0.59
            [mae_pct] => 1.78
            [mfe_mae_ratio] => 0.33
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T01:15:22-04:00
            [end_at] => 2025-09-16T08:15:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.30470000
            [high_after] => 0.30810000
            [low_before] => 0.29760000
            [low_after] => 0.30090000
            [is_new_high] => 
            [is_new_low] => 
        )

)