Long Trade on ROSE 18 Sep 2025 at 23:38:29

Take profit at 0.03142 (1.29 %) and Stop Loss at 0.03082 (0.64 %)

Long Trade on ROSE

The 18 Sep 2025 at 23:38:29

With 39733.7995 ROSE at 0.03102$ per unit.

Position size of 1232.5425 $

Take profit at 0.03142 (1.29 %) and Stop Loss at 0.03082 (0.64 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.88
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
0 0.52
Prediction 3 Probability
0 0.62
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium

BTC Correlation Score

5m : 0.458104

15m : -0.042988

1H : -0.004443

1

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.45
  4. atr: 0.0001342266131
Details
  1. score: 2.45
  2. 1H
  3. ema9 : 0.0314201
  4. ema21 : 0.030978
  5. ema50 : 0.030128
  6. ema100 : 0.0296252
  7. price_ema9_diff : -0.0127349
  8. ema9_ema21_diff : 0.0142716
  9. ema21_ema50_diff : 0.0282112
  10. price_ema100_diff : 0.0470792
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.330121
  14. ema_slope_21 : 0.302445
  15. ema_slope_50 : 0.23237
  16. ema_slope_100 : 0.140819
  17. rsi : 0.538773
  18. adx : 0.439919
  19. kc_percentage : 0.501444
  20. kc_width_percentage : 0.0708232
  21. volume_ema_diff : -0.115724
  22. volume_ema1 : 162794.08860571
  23. volume_ema2 : 184098.93300676
  24. chop : 42.1522
  25. regime : bull_high
  26. ¸
  27. 15m
  28. ema9 : 0.0315275
  29. ema21 : 0.0315968
  30. ema50 : 0.031337
  31. ema100 : 0.0309453
  32. price_ema9_diff : -0.0160973
  33. ema9_ema21_diff : -0.00219381
  34. ema21_ema50_diff : 0.0082885
  35. price_ema100_diff : 0.00241196
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.059758
  39. ema_slope_21 : 0.00783094
  40. ema_slope_50 : 0.0525529
  41. ema_slope_100 : 0.053406
  42. rsi : 0.377169
  43. adx : 0.237189
  44. kc_percentage : -0.048223
  45. kc_width_percentage : 0.0341073
  46. volume_ema_diff : -0.653339
  47. volume_ema1 : 19403.545709826
  48. volume_ema2 : 55972.780761931
  49. chop : 47.9282
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 0.0313635
  54. ema21 : 0.0315347
  55. ema50 : 0.0316463
  56. ema100 : 0.0316154
  57. price_ema9_diff : -0.0109535
  58. ema9_ema21_diff : -0.00542773
  59. ema21_ema50_diff : -0.00352653
  60. price_ema100_diff : -0.0188335
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : -0.0986135
  64. ema_slope_21 : -0.070028
  65. ema_slope_50 : -0.0331666
  66. ema_slope_100 : -0.0116718
  67. rsi : 0.243968
  68. adx : 0.22214
  69. kc_percentage : -0.447264
  70. kc_width_percentage : 0.0171964
  71. volume_ema_diff : -0.144591
  72. volume_ema1 : 10701.369540153
  73. volume_ema2 : 12510.24841992
  74. chop : 34.9622
  75. regime : bear_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    117190
  80. 5m_price_ema100_diff:
    -0.00256989
  81. 5m_price:
    116889
  82. 5m_correlation_with_coin:
    0.458104
  83. btc_indicators
  84. 15m_ema100:
    117204
  85. 15m_price_ema100_diff:
    -0.00192827
  86. 15m_price:
    116978
  87. 15m_correlation_with_coin:
    -0.042988
  88. btc_indicators
  89. 1H_ema100:
    116344
  90. 1H_price_ema100_diff:
    0.00467983
  91. 1H_price:
    116889
  92. 1H_correlation_with_coin:
    -0.004443
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
18 Sep 2025
23:38:29
18 Sep 2025
23:40:00
1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03102 0.03082 0.03142 2 0.01257
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 0.03102
  • Stop Loss: 0.03082
  • Take Profit: 0.03142

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03082 - 0.03102 = -0.0002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03102 - 0.03142 = -0.0004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0004 / -0.0002 = 2

📌 Position Size

Amount Margin Quantity Leverage
1232.5425 100 39733.7995 12.33
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 -0.0002

Taille de position = 8 / -0.0002 = -40000

Taille de position USD = -40000 x 0.03102 = -1240.8

Donc, tu peux acheter -40000 avec un stoploss a 0.03082

Avec un position size USD de -1240.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -40000 x -0.0002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -40000 x -0.0004 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -40000
  • Taille de position USD -1240.8
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.29 % 15.89 $
SL % Target SL $ Target
0.64 % 7.95 $
PNL PNL %
-7.95 $ -0.64
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.677 % 105.01 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03142
            [entry_price] => 0.03102
            [stop_loss] => 0.0308
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-19 00:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03142
            [entry_price] => 0.03102
            [stop_loss] => 0.03078
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-19 00:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03142
            [entry_price] => 0.03102
            [stop_loss] => 0.03076
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-19 00:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03142
            [entry_price] => 0.03102
            [stop_loss] => 0.03072
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-19 00:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00031
            [max_drawdown] => 0.00037
            [rr_ratio] => 0.84
            [high] => 0.03133000
            [low] => 0.03065000
            [mfe_pct] => 1
            [mae_pct] => 1.19
            [mfe_mae_ratio] => 0.84
            [candles_analyzed] => 24
            [start_at] => 2025-09-18T23:38:29-04:00
            [end_at] => 2025-09-19T01:38:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00031
            [max_drawdown] => 0.00092
            [rr_ratio] => 0.34
            [high] => 0.03133000
            [low] => 0.03010000
            [mfe_pct] => 1
            [mae_pct] => 2.97
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 84
            [start_at] => 2025-09-18T23:38:29-04:00
            [end_at] => 2025-09-19T06:38:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03226000
            [high_after] => 0.03133000
            [low_before] => 0.03089000
            [low_after] => 0.03052000
            [is_new_high] => 
            [is_new_low] => 
        )

)