Long Trade on XRP 07 Sep 2025 at 14:38:11

Take profit at 2.8731 (0.58 %) and Stop Loss at 2.8481 (0.29 %)

Long Trade on XRP

The 07 Sep 2025 at 14:38:11

With 960.6683 XRP at 2.8564$ per unit.

Position size of 2744.053 $

Take profit at 2.8731 (0.58 %) and Stop Loss at 2.8481 (0.29 %)

That's a 2.01 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 80
ML Pullback Score: 4.68
Prediction Score: 1
Prediction 1 Probability
Strong Trade
0.59
Prediction 2 Probability
0 0.48
Prediction 3 Probability
0 0.51
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bull_medium

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.39216

15m : -0.088456

1H : 0.237146

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.00555169072
Details
  1. score: 2.04
  2. 1H
  3. ema9 : 2.85938
  4. ema21 : 2.84335
  5. ema50 : 2.83152
  6. ema100 : 2.8332
  7. price_ema9_diff : -0.00104316
  8. ema9_ema21_diff : 0.00563815
  9. ema21_ema50_diff : 0.00417537
  10. price_ema100_diff : 0.00818695
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.125513
  14. ema_slope_21 : 0.0871665
  15. ema_slope_50 : 0.0409517
  16. ema_slope_100 : 0.0156635
  17. rsi : 0.577786
  18. adx : 0.318493
  19. kc_percentage : 0.661092
  20. kc_width_percentage : 0.0262914
  21. volume_ema_diff : 0.520799
  22. volume_ema1 : 24654989.09278
  23. volume_ema2 : 16211857.237324
  24. regime : bull_medium
  25. ¸
  26. 15m
  27. ema9 : 2.86949
  28. ema21 : 2.86933
  29. ema50 : 2.85481
  30. ema100 : 2.83825
  31. price_ema9_diff : -0.00456181
  32. ema9_ema21_diff : 5.53543E-5
  33. ema21_ema50_diff : 0.00508315
  34. price_ema100_diff : 0.00639257
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0268566
  38. ema_slope_21 : 0.024718
  39. ema_slope_50 : 0.037448
  40. ema_slope_100 : 0.0304743
  41. rsi : 0.472277
  42. adx : 0.297163
  43. kc_percentage : 0.217561
  44. kc_width_percentage : 0.0165443
  45. volume_ema_diff : -0.41506
  46. volume_ema1 : 3477529.5521201
  47. volume_ema2 : 5945106.2806671
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 2.86176
  52. ema21 : 2.86812
  53. ema50 : 2.87091
  54. ema100 : 2.86284
  55. price_ema9_diff : -0.00187348
  56. ema9_ema21_diff : -0.00221812
  57. ema21_ema50_diff : -0.000972484
  58. price_ema100_diff : -0.00224981
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0506087
  62. ema_slope_21 : -0.0403953
  63. ema_slope_50 : -0.0155541
  64. ema_slope_100 : -0.000314464
  65. rsi : 0.330919
  66. adx : 0.279744
  67. kc_percentage : -0.0428047
  68. kc_width_percentage : 0.00729355
  69. volume_ema_diff : -0.570478
  70. volume_ema1 : 952966.35540754
  71. volume_ema2 : 2218671.7684309
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111069
  77. 5m_price_ema100_diff:
    -0.00177441
  78. 5m_price:
    110872
  79. 5m_correlation_with_coin:
    0.39216
  80. btc_indicators
  81. 15m_ema100:
    110757
  82. 15m_price_ema100_diff:
    0.00129065
  83. 15m_price:
    110900
  84. 15m_correlation_with_coin:
    -0.088456
  85. btc_indicators
  86. 1H_ema100:
    111050
  87. 1H_price_ema100_diff:
    -0.0015994
  88. 1H_price:
    110872
  89. 1H_correlation_with_coin:
    0.237146
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
07 Sep 2025
14:38:11
07 Sep 2025
16:55:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.8564 2.8481 2.8731 2.01 1.4007
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 2.8564
  • Stop Loss: 2.8481
  • Take Profit: 2.8731

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.8481 - 2.8564 = -0.0082999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.8564 - 2.8731 = -0.0167

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0167 / -0.0082999999999998 = 2.012

📌 Position Size

Amount Margin Quantity Leverage
2744.053 100 960.6683 27.44
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 -0.0082999999999998

Taille de position = 8 / -0.0082999999999998 = -963.86

Taille de position USD = -963.86 x 2.8564 = -2753.17

Donc, tu peux acheter -963.86 avec un stoploss a 2.8481

Avec un position size USD de -2753.17$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -963.86 x -0.0082999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -963.86 x -0.0167 = 16.1

Si Take Profit atteint, tu gagneras 16.1$

Résumé

  • Taille de position -963.86
  • Taille de position USD -2753.17
  • Perte potentielle 8
  • Gain potentiel 16.1
  • Risk-Reward Ratio 2.012

📌 Peformances

TP % Target TP $ Target
0.58 % 16.04 $
SL % Target SL $ Target
0.29 % 7.97 $
PNL PNL %
16.04 $ 0.58
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2486 % 85.55 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.873
            [stop_loss] => 2.8481
            [rr_ratio] => 2
            [closed_at] => 2025-09-07 16:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.87715
            [stop_loss] => 2.8481
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-07 16:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.8813
            [stop_loss] => 2.8481
            [rr_ratio] => 3
            [closed_at] => 2025-09-07 19:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.88545
            [stop_loss] => 2.8481
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-07 19:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.8896
            [stop_loss] => 2.8481
            [rr_ratio] => 4
            [closed_at] => 2025-09-07 19:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0157
            [max_drawdown] => 0.0070999999999999
            [rr_ratio] => 2.21
            [high] => 2.87210000
            [low] => 2.84930000
            [mfe_pct] => 0.55
            [mae_pct] => 0.25
            [mfe_mae_ratio] => 2.21
            [candles_analyzed] => 24
            [start_at] => 2025-09-07T14:38:11-04:00
            [end_at] => 2025-09-07T16:38:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0345
            [max_drawdown] => 0.0070999999999999
            [rr_ratio] => 4.86
            [high] => 2.89090000
            [low] => 2.84930000
            [mfe_pct] => 1.21
            [mae_pct] => 0.25
            [mfe_mae_ratio] => 4.86
            [candles_analyzed] => 84
            [start_at] => 2025-09-07T14:38:11-04:00
            [end_at] => 2025-09-07T21:38:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.91300000
            [high_after] => 2.89090000
            [low_before] => 2.85430000
            [low_after] => 2.84930000
            [is_new_high] => 
            [is_new_low] => 
        )

)