Long Trade on XRP 30 Sep 2025 at 03:36:15

Take profit at 2.8961 (0.48 %) and Stop Loss at 2.8755 (0.24 %)

Long Trade on XRP

The 30 Sep 2025 at 03:36:15

With 1166.2254 XRP at 2.8824$ per unit.

Position size of 3361.5281 $

Take profit at 2.8961 (0.48 %) and Stop Loss at 2.8755 (0.24 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: -0.06
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.47
Prediction 3 Probability
0 0.65
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_medium

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.465398

15m : 0.059912

1H : 0.067521

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.004573158291
Details
  1. score: 2.04
  2. 1H
  3. ema9 : 2.8848
  4. ema21 : 2.87918
  5. ema50 : 2.85673
  6. ema100 : 2.82878
  7. price_ema9_diff : -0.000835003
  8. ema9_ema21_diff : 0.00195499
  9. ema21_ema50_diff : 0.00785514
  10. price_ema100_diff : 0.018952
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.012351
  14. ema_slope_21 : 0.0343601
  15. ema_slope_50 : 0.0507114
  16. ema_slope_100 : 0.0450491
  17. rsi : 0.53169
  18. adx : 0.33169
  19. kc_percentage : 0.533627
  20. kc_width_percentage : 0.026448
  21. volume_ema_diff : -0.24876
  22. volume_ema1 : 12079761.432752
  23. volume_ema2 : 16079763.78503
  24. chop : 68.5033
  25. regime : bull_medium
  26. ¸
  27. 15m
  28. ema9 : 2.89132
  29. ema21 : 2.88838
  30. ema50 : 2.88508
  31. ema100 : 2.88131
  32. price_ema9_diff : -0.00308771
  33. ema9_ema21_diff : 0.00101909
  34. ema21_ema50_diff : 0.00114179
  35. price_ema100_diff : 0.000376847
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0407948
  39. ema_slope_21 : 0.0270715
  40. ema_slope_50 : 0.0134944
  41. ema_slope_100 : 0.00884722
  42. rsi : 0.46792
  43. adx : 0.201591
  44. kc_percentage : 0.314989
  45. kc_width_percentage : 0.0115968
  46. volume_ema_diff : -0.164785
  47. volume_ema1 : 3066031.6160065
  48. volume_ema2 : 3670951.3783692
  49. chop : 49.1925
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 2.89004
  54. ema21 : 2.89203
  55. ema50 : 2.88915
  56. ema100 : 2.88608
  57. price_ema9_diff : -0.00264614
  58. ema9_ema21_diff : -0.000688337
  59. ema21_ema50_diff : 0.000996544
  60. price_ema100_diff : -0.00127601
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : -0.0212917
  64. ema_slope_21 : -0.00213195
  65. ema_slope_50 : 0.0063775
  66. ema_slope_100 : 0.00552404
  67. rsi : 0.362824
  68. adx : 0.198334
  69. kc_percentage : -0.0411723
  70. kc_width_percentage : 0.00619129
  71. volume_ema_diff : 0.0160946
  72. volume_ema1 : 1159746.5542785
  73. volume_ema2 : 1141376.5541582
  74. chop : 40.0907
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    114103
  80. 5m_price_ema100_diff:
    -0.00300807
  81. 5m_price:
    113760
  82. 5m_correlation_with_coin:
    0.465398
  83. btc_indicators
  84. 15m_ema100:
    113544
  85. 15m_price_ema100_diff:
    0.00203332
  86. 15m_price:
    113775
  87. 15m_correlation_with_coin:
    0.059912
  88. btc_indicators
  89. 1H_ema100:
    111353
  90. 1H_price_ema100_diff:
    0.0216132
  91. 1H_price:
    113760
  92. 1H_correlation_with_coin:
    0.067521
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
03:36:15
30 Sep 2025
03:40:00
3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.8824 2.8755 2.8961 1.99 1.397
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 2.8824
  • Stop Loss: 2.8755
  • Take Profit: 2.8961

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.8755 - 2.8824 = -0.0068999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.8824 - 2.8961 = -0.0137

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0137 / -0.0068999999999999 = 1.9855

📌 Position Size

Amount Margin Quantity Leverage
3361.5281 100 1166.2254 33.62
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 -0.0068999999999999

Taille de position = 8 / -0.0068999999999999 = -1159.42

Taille de position USD = -1159.42 x 2.8824 = -3341.91

Donc, tu peux acheter -1159.42 avec un stoploss a 2.8755

Avec un position size USD de -3341.91$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1159.42 x -0.0068999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1159.42 x -0.0137 = 15.88

Si Take Profit atteint, tu gagneras 15.88$

Résumé

  • Taille de position -1159.42
  • Taille de position USD -3341.91
  • Perte potentielle 8
  • Gain potentiel 15.88
  • Risk-Reward Ratio 1.9855

📌 Peformances

TP % Target TP $ Target
0.48 % 15.98 $
SL % Target SL $ Target
0.24 % 8.05 $
PNL PNL %
-8.05 $ -0.24
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2429 % 101.46 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.8961
            [entry_price] => 2.8824
            [stop_loss] => 2.87481
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 03:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.8961
            [entry_price] => 2.8824
            [stop_loss] => 2.87412
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 03:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.8961
            [entry_price] => 2.8824
            [stop_loss] => 2.87343
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 03:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.8961
            [entry_price] => 2.8824
            [stop_loss] => 2.87205
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 03:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0017
            [max_drawdown] => 0.0371
            [rr_ratio] => -0.05
            [high] => 2.88070000
            [low] => 2.84530000
            [mfe_pct] => -0.06
            [mae_pct] => 1.29
            [mfe_mae_ratio] => -0.05
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T03:36:15-04:00
            [end_at] => 2025-09-30T05:36:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.0017
            [max_drawdown] => 0.0538
            [rr_ratio] => -0.03
            [high] => 2.88070000
            [low] => 2.82860000
            [mfe_pct] => -0.06
            [mae_pct] => 1.87
            [mfe_mae_ratio] => -0.03
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T03:36:15-04:00
            [end_at] => 2025-09-30T10:36:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.90590000
            [high_after] => 2.88070000
            [low_before] => 2.87210000
            [low_after] => 2.83220000
            [is_new_high] => 
            [is_new_low] => 
        )

)