Short Trade on OG 13 Sep 2025 at 01:09:21

Take profit at 16.472 (2.44 %) and Stop Loss at 17.0902 (1.22 %)

Short Trade on OG

The 13 Sep 2025 at 01:09:21

With 38.8239 OG at 16.8841$ per unit.

Position size of 655.5074 $

Take profit at 16.472 (2.44 %) and Stop Loss at 17.0902 (1.22 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.27
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
1 0.52
Prediction 3 Probability
1 0.83
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_high

BTC Correlation Score

5m : 0.004963

15m : -0.054382

1H : -0.005282

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.1373722585
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 16.7439
  4. ema21 : 17.2978
  5. ema50 : 18.8377
  6. ema100 : 19.8466
  7. price_ema9_diff : 0.00837086
  8. ema9_ema21_diff : -0.0320198
  9. ema21_ema50_diff : -0.081747
  10. price_ema100_diff : -0.14927
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.402741
  14. ema_slope_21 : -0.578835
  15. ema_slope_50 : -0.541942
  16. ema_slope_100 : -0.341583
  17. rsi : 0.420303
  18. adx : 0.437691
  19. kc_percentage : 0.360432
  20. kc_width_percentage : 0.150426
  21. volume_ema_diff : -0.599866
  22. volume_ema1 : 506130.65906182
  23. volume_ema2 : 1264903.8138544
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 16.6252
  28. ema21 : 16.6186
  29. ema50 : 16.8214
  30. ema100 : 17.298
  31. price_ema9_diff : 0.0155703
  32. ema9_ema21_diff : 0.000398471
  33. ema21_ema50_diff : -0.0120587
  34. price_ema100_diff : -0.0239279
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0505974
  38. ema_slope_21 : 0.012956
  39. ema_slope_50 : -0.0563833
  40. ema_slope_100 : -0.0853565
  41. rsi : 0.572036
  42. adx : 0.146181
  43. kc_percentage : 0.775663
  44. kc_width_percentage : 0.0576061
  45. volume_ema_diff : -0.154279
  46. volume_ema1 : 200250.86231104
  47. volume_ema2 : 236781.34472068
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 16.6057
  52. ema21 : 16.5774
  53. ema50 : 16.5772
  54. ema100 : 16.6083
  55. price_ema9_diff : 0.0167628
  56. ema9_ema21_diff : 0.00170384
  57. ema21_ema50_diff : 1.19824E-5
  58. price_ema100_diff : 0.0166045
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0116859
  62. ema_slope_21 : -0.0145095
  63. ema_slope_50 : -0.00852226
  64. ema_slope_100 : -0.00853326
  65. rsi : 0.660443
  66. adx : 0.174574
  67. kc_percentage : 1.02149
  68. kc_width_percentage : 0.0348059
  69. volume_ema_diff : 0.865971
  70. volume_ema1 : 108759.07901889
  71. volume_ema2 : 58285.510976179
  72. regime : bull_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115925
  77. 5m_price_ema100_diff:
    -0.00213711
  78. 5m_price:
    115677
  79. 5m_correlation_with_coin:
    0.004963
  80. btc_indicators
  81. 15m_ema100:
    115647
  82. 15m_price_ema100_diff:
    0.000261385
  83. 15m_price:
    115677
  84. 15m_correlation_with_coin:
    -0.054382
  85. btc_indicators
  86. 1H_ema100:
    114098
  87. 1H_price_ema100_diff:
    0.0138448
  88. 1H_price:
    115677
  89. 1H_correlation_with_coin:
    -0.005282
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Sep 2025
01:09:21
13 Sep 2025
01:10:00
39 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
16.8841 17.0902 16.472 2 3.0133
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 16.8841
  • Stop Loss: 17.0902
  • Take Profit: 16.472

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 17.0902 - 16.8841 = 0.2061

  • Récompense (distance jusqu'au take profit):

    E - TP = 16.8841 - 16.472 = 0.4121

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.4121 / 0.2061 = 1.9995

📌 Position Size

Amount Margin Quantity Leverage
655.5074 100 38.8239 6.56
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 0.2061

Taille de position = 8 / 0.2061 = 38.82

Taille de position USD = 38.82 x 16.8841 = 655.44

Donc, tu peux acheter 38.82 avec un stoploss a 17.0902

Avec un position size USD de 655.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 38.82 x 0.2061 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 38.82 x 0.4121 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 38.82
  • Taille de position USD 655.44
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 1.9995

📌 Peformances

TP % Target TP $ Target
2.44 % 16 $
SL % Target SL $ Target
1.22 % 8 $
PNL PNL %
-8 $ -1.22
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.3886 % 195.67 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 16.472
            [entry_price] => 16.8841
            [stop_loss] => 17.11081
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-13 01:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 16.472
            [entry_price] => 16.8841
            [stop_loss] => 17.13142
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-13 01:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 16.472
            [entry_price] => 16.8841
            [stop_loss] => 17.15203
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-13 01:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 16.472
            [entry_price] => 16.8841
            [stop_loss] => 17.19325
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-13 01:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.1611
            [max_drawdown] => 0.9715
            [rr_ratio] => 0.17
            [high] => 17.85560000
            [low] => 16.72300000
            [mfe_pct] => 0.95
            [mae_pct] => 5.75
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 24
            [start_at] => 2025-09-13T01:09:21-04:00
            [end_at] => 2025-09-13T03:09:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.2117
            [max_drawdown] => 0.9715
            [rr_ratio] => 0.22
            [high] => 17.85560000
            [low] => 16.67240000
            [mfe_pct] => 1.25
            [mae_pct] => 5.75
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 84
            [start_at] => 2025-09-13T01:09:21-04:00
            [end_at] => 2025-09-13T08:09:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 16.97500000
            [high_after] => 17.85560000
            [low_before] => 16.26110000
            [low_after] => 16.67240000
            [is_new_high] => 
            [is_new_low] => 
        )

)