Short Trade on CELO 27 Sep 2025 at 17:47:32

Take profit at 0.2492 (0.4 %) and Stop Loss at 0.2507 (0.2 %)

Short Trade on CELO

The 27 Sep 2025 at 17:47:32

With 15562.5359 CELO at 0.2502$ per unit.

Position size of 3893.7465 $

Take profit at 0.2492 (0.4 %) and Stop Loss at 0.2507 (0.2 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.82
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.64
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.633117

15m : 0.070545

1H : 0.139765

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0003427033589
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.249752
  4. ema21 : 0.250244
  5. ema50 : 0.251895
  6. ema100 : 0.255136
  7. price_ema9_diff : 0.00179199
  8. ema9_ema21_diff : -0.00196743
  9. ema21_ema50_diff : -0.0065543
  10. price_ema100_diff : -0.0193497
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0200025
  14. ema_slope_21 : -0.0233946
  15. ema_slope_50 : -0.0378583
  16. ema_slope_100 : -0.0446225
  17. rsi : 0.489039
  18. adx : 0.133518
  19. kc_percentage : 0.499073
  20. kc_width_percentage : 0.031228
  21. volume_ema_diff : -0.608283
  22. volume_ema1 : 163517.26785214
  23. volume_ema2 : 417437.51837477
  24. chop : 63.0123
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.249583
  29. ema21 : 0.249415
  30. ema50 : 0.249728
  31. ema100 : 0.250124
  32. price_ema9_diff : 0.00247063
  33. ema9_ema21_diff : 0.000671166
  34. ema21_ema50_diff : -0.00125174
  35. price_ema100_diff : 0.000303756
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.035229
  39. ema_slope_21 : 0.00347245
  40. ema_slope_50 : -0.00744748
  41. ema_slope_100 : -0.00717811
  42. rsi : 0.573447
  43. adx : 0.140067
  44. kc_percentage : 0.792492
  45. kc_width_percentage : 0.0107724
  46. volume_ema_diff : -0.744379
  47. volume_ema1 : 14674.551276731
  48. volume_ema2 : 57407.670913461
  49. chop : 53.3327
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 0.249787
  54. ema21 : 0.249487
  55. ema50 : 0.249288
  56. ema100 : 0.249527
  57. price_ema9_diff : 0.00165228
  58. ema9_ema21_diff : 0.00120023
  59. ema21_ema50_diff : 0.000798767
  60. price_ema100_diff : 0.00269466
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0150214
  64. ema_slope_21 : 0.0141846
  65. ema_slope_50 : 0.00694636
  66. ema_slope_100 : 0.000694565
  67. rsi : 0.659312
  68. adx : 0.190429
  69. kc_percentage : 1.03149
  70. kc_width_percentage : 0.00520975
  71. volume_ema_diff : -0.644603
  72. volume_ema1 : 4566.8155118525
  73. volume_ema2 : 12849.899271463
  74. chop : 48.2213
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109327
  80. 5m_price_ema100_diff:
    0.000742505
  81. 5m_price:
    109409
  82. 5m_correlation_with_coin:
    0.633117
  83. btc_indicators
  84. 15m_ema100:
    109356
  85. 15m_price_ema100_diff:
    0.000476878
  86. 15m_price:
    109409
  87. 15m_correlation_with_coin:
    0.070545
  88. btc_indicators
  89. 1H_ema100:
    110297
  90. 1H_price_ema100_diff:
    -0.00805163
  91. 1H_price:
    109409
  92. 1H_correlation_with_coin:
    0.139765
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
27 Sep 2025
17:47:32
27 Sep 2025
18:05:00
17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2502 0.2507 0.2492 2 0.0818
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 0.2502
  • Stop Loss: 0.2507
  • Take Profit: 0.2492

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2507 - 0.2502 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2502 - 0.2492 = 0.00099999999999997

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00099999999999997 / 0.0005 = 2

📌 Position Size

Amount Margin Quantity Leverage
3893.7465 100 15562.5359 38.94
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.2502 = 4003.2

Donc, tu peux acheter 16000 avec un stoploss a 0.2507

Avec un position size USD de 4003.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.00099999999999997 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 16000
  • Taille de position USD 4003.2
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.4 % 15.56 $
SL % Target SL $ Target
0.2 % 7.78 $
PNL PNL %
-7.78 $ -0.20
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2398 % 120.02 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2492
            [entry_price] => 0.2502
            [stop_loss] => 0.25075
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-27 18:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2492
            [entry_price] => 0.2502
            [stop_loss] => 0.2508
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-27 18:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2492
            [entry_price] => 0.2502
            [stop_loss] => 0.25085
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-27 18:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2492
            [entry_price] => 0.2502
            [stop_loss] => 0.25095
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-27 18:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00099999999999997
            [max_drawdown] => 0.0018
            [rr_ratio] => 0.56
            [high] => 0.25200000
            [low] => 0.24920000
            [mfe_pct] => 0.4
            [mae_pct] => 0.72
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 24
            [start_at] => 2025-09-27T17:47:32-04:00
            [end_at] => 2025-09-27T19:47:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0041
            [max_drawdown] => 0.0018
            [rr_ratio] => 2.28
            [high] => 0.25200000
            [low] => 0.24610000
            [mfe_pct] => 1.64
            [mae_pct] => 0.72
            [mfe_mae_ratio] => 2.28
            [candles_analyzed] => 84
            [start_at] => 2025-09-27T17:47:32-04:00
            [end_at] => 2025-09-28T00:47:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.25040000
            [high_after] => 0.25200000
            [low_before] => 0.24750000
            [low_after] => 0.24610000
            [is_new_high] => 
            [is_new_low] => 1
        )

)