Short Trade on CELO 16 Sep 2025 at 02:08:31

Take profit at 0.3017 (0.66 %) and Stop Loss at 0.3047 (0.33 %)

Short Trade on CELO

The 16 Sep 2025 at 02:08:31

With 8049.4327 CELO at 0.3037$ per unit.

Position size of 2444.6127 $

Take profit at 0.3017 (0.66 %) and Stop Loss at 0.3047 (0.33 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.73
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.69
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.746572

15m : -0.038717

1H : -0.003063

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0006625725751
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.302716
  4. ema21 : 0.30477
  5. ema50 : 0.310313
  6. ema100 : 0.313733
  7. price_ema9_diff : 0.00324914
  8. ema9_ema21_diff : -0.00674033
  9. ema21_ema50_diff : -0.0178605
  10. price_ema100_diff : -0.0319804
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0323945
  14. ema_slope_21 : -0.116437
  15. ema_slope_50 : -0.121691
  16. ema_slope_100 : -0.0773977
  17. rsi : 0.434772
  18. adx : 0.48328
  19. kc_percentage : 0.424702
  20. kc_width_percentage : 0.0369563
  21. volume_ema_diff : -0.318843
  22. volume_ema1 : 136078.75921077
  23. volume_ema2 : 199776.05470904
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.302342
  28. ema21 : 0.302181
  29. ema50 : 0.303111
  30. ema100 : 0.30607
  31. price_ema9_diff : 0.00448921
  32. ema9_ema21_diff : 0.000532166
  33. ema21_ema50_diff : -0.00306688
  34. price_ema100_diff : -0.00774491
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00523315
  38. ema_slope_21 : -0.01899
  39. ema_slope_50 : -0.0247758
  40. ema_slope_100 : -0.0331004
  41. rsi : 0.573313
  42. adx : 0.205385
  43. kc_percentage : 0.781528
  44. kc_width_percentage : 0.0179248
  45. volume_ema_diff : 0.193287
  46. volume_ema1 : 53359.087986221
  47. volume_ema2 : 44716.03774712
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.303196
  52. ema21 : 0.30232
  53. ema50 : 0.30203
  54. ema100 : 0.302488
  55. price_ema9_diff : 0.00166209
  56. ema9_ema21_diff : 0.00289459
  57. ema21_ema50_diff : 0.000961186
  58. price_ema100_diff : 0.00400395
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0656761
  62. ema_slope_21 : 0.0439475
  63. ema_slope_50 : 0.0149251
  64. ema_slope_100 : 0.00269494
  65. rsi : 0.647478
  66. adx : 0.229244
  67. kc_percentage : 1.01072
  68. kc_width_percentage : 0.00860035
  69. volume_ema_diff : 0.189751
  70. volume_ema1 : 19036.253729886
  71. volume_ema2 : 16000.190662172
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115355
  77. 5m_price_ema100_diff:
    0.0037553
  78. 5m_price:
    115788
  79. 5m_correlation_with_coin:
    0.746572
  80. btc_indicators
  81. 15m_ema100:
    115350
  82. 15m_price_ema100_diff:
    0.00379309
  83. 15m_price:
    115788
  84. 15m_correlation_with_coin:
    -0.038717
  85. btc_indicators
  86. 1H_ema100:
    115394
  87. 1H_price_ema100_diff:
    0.00341112
  88. 1H_price:
    115788
  89. 1H_correlation_with_coin:
    -0.003063
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
02:08:31
16 Sep 2025
03:30:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3037 0.3047 0.3017 2 0.0786
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 0.3037
  • Stop Loss: 0.3047
  • Take Profit: 0.3017

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3047 - 0.3037 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3037 - 0.3017 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.001 = 2

📌 Position Size

Amount Margin Quantity Leverage
2444.6127 100 8049.4327 24.45
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 0.3037 = 2429.6

Donc, tu peux acheter 8000 avec un stoploss a 0.3047

Avec un position size USD de 2429.6$

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 2429.6
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.66 % 16.1 $
SL % Target SL $ Target
0.33 % 8.05 $
PNL PNL %
-8.05 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4281 % 130 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3017
            [entry_price] => 0.3037
            [stop_loss] => 0.3048
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 03:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3017
            [entry_price] => 0.3037
            [stop_loss] => 0.3049
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 03:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3017
            [entry_price] => 0.3037
            [stop_loss] => 0.305
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 03:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3017
            [entry_price] => 0.3037
            [stop_loss] => 0.3052
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 03:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0019
            [max_drawdown] => 0.0032
            [rr_ratio] => 0.59
            [high] => 0.30690000
            [low] => 0.30180000
            [mfe_pct] => 0.63
            [mae_pct] => 1.05
            [mfe_mae_ratio] => 0.59
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T02:08:31-04:00
            [end_at] => 2025-09-16T04:08:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0019
            [max_drawdown] => 0.0044
            [rr_ratio] => 0.43
            [high] => 0.30810000
            [low] => 0.30180000
            [mfe_pct] => 0.63
            [mae_pct] => 1.45
            [mfe_mae_ratio] => 0.43
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T02:08:31-04:00
            [end_at] => 2025-09-16T09:08:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.30430000
            [high_after] => 0.30810000
            [low_before] => 0.29760000
            [low_after] => 0.30180000
            [is_new_high] => 
            [is_new_low] => 
        )

)