Short Trade on CELO 16 Sep 2025 at 17:05:18

Take profit at 0.3026 (0.66 %) and Stop Loss at 0.3056 (0.33 %)

Short Trade on CELO

The 16 Sep 2025 at 17:05:18

With 7861.3776 CELO at 0.3046$ per unit.

Position size of 2394.5756 $

Take profit at 0.3026 (0.66 %) and Stop Loss at 0.3056 (0.33 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.24
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.86
Prediction 2 Probability
0 0.74
Prediction 3 Probability
0 0.87
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.574607

15m : 0.134972

1H : -0.091954

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0006784222342
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 0.304248
  4. ema21 : 0.304647
  5. ema50 : 0.307917
  6. ema100 : 0.312249
  7. price_ema9_diff : 0.00115493
  8. ema9_ema21_diff : -0.00130828
  9. ema21_ema50_diff : -0.0106214
  10. price_ema100_diff : -0.0244968
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.00261
  14. ema_slope_21 : -0.0115645
  15. ema_slope_50 : -0.0558167
  16. ema_slope_100 : -0.0551319
  17. rsi : 0.48567
  18. adx : 0.279273
  19. kc_percentage : 0.501325
  20. kc_width_percentage : 0.0398558
  21. volume_ema_diff : -0.381297
  22. volume_ema1 : 132751.35418848
  23. volume_ema2 : 214564.03799703
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.303284
  28. ema21 : 0.303694
  29. ema50 : 0.304131
  30. ema100 : 0.304112
  31. price_ema9_diff : 0.00433856
  32. ema9_ema21_diff : -0.00135085
  33. ema21_ema50_diff : -0.00143811
  34. price_ema100_diff : 0.00160238
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0719296
  38. ema_slope_21 : -0.0510603
  39. ema_slope_50 : -0.0233279
  40. ema_slope_100 : -0.0102731
  41. rsi : 0.531073
  42. adx : 0.15643
  43. kc_percentage : 0.663481
  44. kc_width_percentage : 0.0189008
  45. volume_ema_diff : -0.427215
  46. volume_ema1 : 31212.767165601
  47. volume_ema2 : 54493.05932586
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.303715
  52. ema21 : 0.303085
  53. ema50 : 0.303446
  54. ema100 : 0.304039
  55. price_ema9_diff : 0.00291282
  56. ema9_ema21_diff : 0.00207886
  57. ema21_ema50_diff : -0.0011889
  58. price_ema100_diff : 0.00184478
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0653969
  62. ema_slope_21 : 0.0218366
  63. ema_slope_50 : -0.00384882
  64. ema_slope_100 : -0.00677568
  65. rsi : 0.658998
  66. adx : 0.288602
  67. kc_percentage : 1.08645
  68. kc_width_percentage : 0.0084107
  69. volume_ema_diff : -0.404571
  70. volume_ema1 : 8870.5192741774
  71. volume_ema2 : 14897.697617658
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    116150
  77. 5m_price_ema100_diff:
    0.00575401
  78. 5m_price:
    116818
  79. 5m_correlation_with_coin:
    0.574607
  80. btc_indicators
  81. 15m_ema100:
    115717
  82. 15m_price_ema100_diff:
    0.00951548
  83. 15m_price:
    116818
  84. 15m_correlation_with_coin:
    0.134972
  85. btc_indicators
  86. 1H_ema100:
    115698
  87. 1H_price_ema100_diff:
    0.00968315
  88. 1H_price:
    116818
  89. 1H_correlation_with_coin:
    -0.091954
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
17:05:18
16 Sep 2025
17:10:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3046 0.3056 0.3026 2 0.078
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 0.3046
  • Stop Loss: 0.3056
  • Take Profit: 0.3026

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3056 - 0.3046 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3046 - 0.3026 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.001 = 2

📌 Position Size

Amount Margin Quantity Leverage
2394.5756 100 7861.3776 23.95
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 0.3046 = 2436.8

Donc, tu peux acheter 8000 avec un stoploss a 0.3056

Avec un position size USD de 2436.8$

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 2436.8
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.66 % 15.72 $
SL % Target SL $ Target
0.33 % 7.86 $
PNL PNL %
-7.86 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3283 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3026
            [entry_price] => 0.3046
            [stop_loss] => 0.3057
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 18:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3026
            [entry_price] => 0.3046
            [stop_loss] => 0.3058
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 18:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3026
            [entry_price] => 0.3046
            [stop_loss] => 0.3059
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 18:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3026
            [entry_price] => 0.3046
            [stop_loss] => 0.3061
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 18:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.0026
            [rr_ratio] => 0.19
            [high] => 0.30720000
            [low] => 0.30410000
            [mfe_pct] => 0.16
            [mae_pct] => 0.85
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T17:05:18-04:00
            [end_at] => 2025-09-16T19:05:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00069999999999998
            [max_drawdown] => 0.0048
            [rr_ratio] => 0.15
            [high] => 0.30940000
            [low] => 0.30390000
            [mfe_pct] => 0.23
            [mae_pct] => 1.58
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T17:05:18-04:00
            [end_at] => 2025-09-17T00:05:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.30850000
            [high_after] => 0.30940000
            [low_before] => 0.29990000
            [low_after] => 0.30390000
            [is_new_high] => 
            [is_new_low] => 
        )

)