Short Trade on OG 17 Sep 2025 at 07:47:40

Take profit at 14.0703 (6.15 %) and Stop Loss at 15.4529 (3.07 %)

Short Trade on OG

The 17 Sep 2025 at 07:47:40

With 17.3585 OG at 14.992$ per unit.

Position size of 260.2393 $

Take profit at 14.0703 (6.15 %) and Stop Loss at 15.4529 (3.07 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 3.2
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high

BTC Correlation Score

5m : 0.004433

15m : 0.117189

1H : 0.114243

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.3072454567
Details
  1. score: 1.16
  2. 1H
  3. ema9 : 15.0263
  4. ema21 : 15.648
  5. ema50 : 15.8816
  6. ema100 : 16.0602
  7. price_ema9_diff : -0.00228339
  8. ema9_ema21_diff : -0.0397324
  9. ema21_ema50_diff : -0.0147115
  10. price_ema100_diff : -0.0665153
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.863372
  14. ema_slope_21 : -0.381755
  15. ema_slope_50 : -0.121991
  16. ema_slope_100 : -0.0679602
  17. rsi : 0.426465
  18. adx : 0.412034
  19. kc_percentage : 0.305518
  20. kc_width_percentage : 0.216859
  21. volume_ema_diff : 1.06944
  22. volume_ema1 : 1914818.3483522
  23. volume_ema2 : 925279.0255149
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 14.3447
  28. ema21 : 14.6439
  29. ema50 : 15.4206
  30. ema100 : 15.9462
  31. price_ema9_diff : 0.0451186
  32. ema9_ema21_diff : -0.0204294
  33. ema21_ema50_diff : -0.0503656
  34. price_ema100_diff : -0.0598404
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.2567
  38. ema_slope_21 : -0.507802
  39. ema_slope_50 : -0.398471
  40. ema_slope_100 : -0.246605
  41. rsi : 0.522208
  42. adx : 0.427355
  43. kc_percentage : 0.698151
  44. kc_width_percentage : 0.128951
  45. volume_ema_diff : 0.223831
  46. volume_ema1 : 451161.36776929
  47. volume_ema2 : 368646.76660142
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 14.3404
  52. ema21 : 14.1262
  53. ema50 : 14.3964
  54. ema100 : 15.0205
  55. price_ema9_diff : 0.045435
  56. ema9_ema21_diff : 0.0151646
  57. ema21_ema50_diff : -0.018768
  58. price_ema100_diff : -0.00190185
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.380967
  62. ema_slope_21 : 0.0964776
  63. ema_slope_50 : -0.101049
  64. ema_slope_100 : -0.139872
  65. rsi : 0.693857
  66. adx : 0.361476
  67. kc_percentage : 1.1586
  68. kc_width_percentage : 0.0873348
  69. volume_ema_diff : -0.0132981
  70. volume_ema1 : 170039.81868964
  71. volume_ema2 : 172331.50043126
  72. regime : bull_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    116588
  77. 5m_price_ema100_diff:
    -0.00248813
  78. 5m_price:
    116298
  79. 5m_correlation_with_coin:
    0.004433
  80. btc_indicators
  81. 15m_ema100:
    116333
  82. 15m_price_ema100_diff:
    -0.000303418
  83. 15m_price:
    116298
  84. 15m_correlation_with_coin:
    0.117189
  85. btc_indicators
  86. 1H_ema100:
    115883
  87. 1H_price_ema100_diff:
    0.00358376
  88. 1H_price:
    116298
  89. 1H_correlation_with_coin:
    0.114243
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Sep 2025
07:47:40
17 Sep 2025
07:55:00
7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
14.992 15.4529 14.0703 2 2.9567
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 14.992
  • Stop Loss: 15.4529
  • Take Profit: 14.0703

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 15.4529 - 14.992 = 0.4609

  • Récompense (distance jusqu'au take profit):

    E - TP = 14.992 - 14.0703 = 0.9217

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.9217 / 0.4609 = 1.9998

📌 Position Size

Amount Margin Quantity Leverage
260.2393 100 17.3585 2.60
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 0.4609

Taille de position = 8 / 0.4609 = 17.36

Taille de position USD = 17.36 x 14.992 = 260.26

Donc, tu peux acheter 17.36 avec un stoploss a 15.4529

Avec un position size USD de 260.26$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 17.36 x 0.4609 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 17.36 x 0.9217 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 17.36
  • Taille de position USD 260.26
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 1.9998

📌 Peformances

TP % Target TP $ Target
6.15 % 16 $
SL % Target SL $ Target
3.07 % 8 $
PNL PNL %
-8 $ -3.07
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.2277 % 104.99 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 14.0703
            [entry_price] => 14.992
            [stop_loss] => 15.49899
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 09:30:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 14.0703
            [entry_price] => 14.992
            [stop_loss] => 15.54508
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 09:30:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 14.0703
            [entry_price] => 14.992
            [stop_loss] => 15.59117
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 09:30:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 14.0703
            [entry_price] => 14.992
            [stop_loss] => 15.68335
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 09:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.02
            [max_drawdown] => 0.4943
            [rr_ratio] => 2.06
            [high] => 15.48630000
            [low] => 13.97200000
            [mfe_pct] => 6.8
            [mae_pct] => 3.3
            [mfe_mae_ratio] => 2.06
            [candles_analyzed] => 24
            [start_at] => 2025-09-17T07:47:40-04:00
            [end_at] => 2025-09-17T09:47:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.28
            [max_drawdown] => 0.4943
            [rr_ratio] => 2.59
            [high] => 15.48630000
            [low] => 13.71200000
            [mfe_pct] => 8.54
            [mae_pct] => 3.3
            [mfe_mae_ratio] => 2.59
            [candles_analyzed] => 84
            [start_at] => 2025-09-17T07:47:40-04:00
            [end_at] => 2025-09-17T14:47:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 15.99620000
            [high_after] => 15.48630000
            [low_before] => 13.12860000
            [low_after] => 13.71200000
            [is_new_high] => 
            [is_new_low] => 
        )

)