Long Trade on ROSE 13 Sep 2025 at 02:00:48

Take profit at 0.03014 (0.77 %) and Stop Loss at 0.0298 (0.37 %)

Long Trade on ROSE

The 13 Sep 2025 at 02:00:48

With 69817.5275 ROSE at 0.02991$ per unit.

Position size of 2088.2422 $

Take profit at 0.03014 (0.77 %) and Stop Loss at 0.0298 (0.37 %)

That's a 2.09 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.05
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.71
Prediction 3 Probability
0 0.59
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_medium

5m_regime : bear_low

BTC Correlation Score

5m : 0.25867

15m : -0.045506

1H : 0.087866

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 7.638960476E-5
Details
  1. score: 2.06
  2. 1H
  3. ema9 : 0.0299962
  4. ema21 : 0.029454
  5. ema50 : 0.0286698
  6. ema100 : 0.0280223
  7. price_ema9_diff : -0.00287518
  8. ema9_ema21_diff : 0.0184067
  9. ema21_ema50_diff : 0.0273543
  10. price_ema100_diff : 0.0673619
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.483034
  14. ema_slope_21 : 0.433639
  15. ema_slope_50 : 0.271057
  16. ema_slope_100 : 0.173928
  17. rsi : 0.611139
  18. adx : 0.479226
  19. kc_percentage : 0.719048
  20. kc_width_percentage : 0.0631665
  21. volume_ema_diff : -0.636158
  22. volume_ema1 : 56164.182397996
  23. volume_ema2 : 154364.41471184
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.0300746
  28. ema21 : 0.0301353
  29. ema50 : 0.0298041
  30. ema100 : 0.0292097
  31. price_ema9_diff : -0.00547318
  32. ema9_ema21_diff : -0.00201502
  33. ema21_ema50_diff : 0.0111109
  34. price_ema100_diff : 0.0239748
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0390316
  38. ema_slope_21 : 0.00689881
  39. ema_slope_50 : 0.0666012
  40. ema_slope_100 : 0.0775554
  41. rsi : 0.423031
  42. adx : 0.247829
  43. kc_percentage : 0.136599
  44. kc_width_percentage : 0.0209848
  45. volume_ema_diff : -0.694154
  46. volume_ema1 : 10925.30470066
  47. volume_ema2 : 35721.668030023
  48. regime : bull_medium
  49. ¸
  50. 5m
  51. ema9 : 0.0299638
  52. ema21 : 0.0300813
  53. ema50 : 0.0301717
  54. ema100 : 0.0301282
  55. price_ema9_diff : -0.00179713
  56. ema9_ema21_diff : -0.00390644
  57. ema21_ema50_diff : -0.0029949
  58. price_ema100_diff : -0.00724491
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0970123
  62. ema_slope_21 : -0.0722582
  63. ema_slope_50 : -0.0342008
  64. ema_slope_100 : -0.0115236
  65. rsi : 0.306515
  66. adx : 0.326915
  67. kc_percentage : -0.0621156
  68. kc_width_percentage : 0.00974866
  69. volume_ema_diff : -0.500036
  70. volume_ema1 : 2966.620728983
  71. volume_ema2 : 5933.6789655722
  72. regime : bear_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115814
  77. 5m_price_ema100_diff:
    -0.00126636
  78. 5m_price:
    115667
  79. 5m_correlation_with_coin:
    0.25867
  80. btc_indicators
  81. 15m_ema100:
    115676
  82. 15m_price_ema100_diff:
    -7.49891E-5
  83. 15m_price:
    115667
  84. 15m_correlation_with_coin:
    -0.045506
  85. btc_indicators
  86. 1H_ema100:
    114177
  87. 1H_price_ema100_diff:
    0.0130485
  88. 1H_price:
    115667
  89. 1H_correlation_with_coin:
    0.087866
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Sep 2025
02:00:48
13 Sep 2025
02:05:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02991 0.0298 0.03014 2.09 0.0123
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 0.02991
  • Stop Loss: 0.0298
  • Take Profit: 0.03014

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0298 - 0.02991 = -0.00011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02991 - 0.03014 = -0.00023

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00023 / -0.00011 = 2.0909

📌 Position Size

Amount Margin Quantity Leverage
2088.2422 100 69817.5275 20.88
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 -0.00011

Taille de position = 8 / -0.00011 = -72727.27

Taille de position USD = -72727.27 x 0.02991 = -2175.27

Donc, tu peux acheter -72727.27 avec un stoploss a 0.0298

Avec un position size USD de -2175.27$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -72727.27 x -0.00011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -72727.27 x -0.00023 = 16.73

Si Take Profit atteint, tu gagneras 16.73$

Résumé

  • Taille de position -72727.27
  • Taille de position USD -2175.27
  • Perte potentielle 8
  • Gain potentiel 16.73
  • Risk-Reward Ratio 2.0909

📌 Peformances

TP % Target TP $ Target
0.77 % 16.06 $
SL % Target SL $ Target
0.37 % 7.68 $
PNL PNL %
-7.68 $ -0.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3678 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03014
            [entry_price] => 0.02991
            [stop_loss] => 0.029789
            [rr_ratio] => 1.9
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-13 02:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03014
            [entry_price] => 0.02991
            [stop_loss] => 0.029778
            [rr_ratio] => 1.74
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-13 02:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03014
            [entry_price] => 0.02991
            [stop_loss] => 0.029767
            [rr_ratio] => 1.61
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-13 02:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03014
            [entry_price] => 0.02991
            [stop_loss] => 0.029745
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-13 02:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.9999999999999E-5
            [max_drawdown] => 0.00033
            [rr_ratio] => 0.06
            [high] => 0.02993000
            [low] => 0.02958000
            [mfe_pct] => 0.07
            [mae_pct] => 1.1
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 24
            [start_at] => 2025-09-13T02:00:48-04:00
            [end_at] => 2025-09-13T04:00:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00055
            [max_drawdown] => 0.00033
            [rr_ratio] => 1.67
            [high] => 0.03046000
            [low] => 0.02958000
            [mfe_pct] => 1.84
            [mae_pct] => 1.1
            [mfe_mae_ratio] => 1.67
            [candles_analyzed] => 84
            [start_at] => 2025-09-13T02:00:48-04:00
            [end_at] => 2025-09-13T09:00:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03059000
            [high_after] => 0.03046000
            [low_before] => 0.02973000
            [low_after] => 0.02958000
            [is_new_high] => 
            [is_new_low] => 
        )

)