Short Trade on XRP 17 Sep 2025 at 08:33:46

Take profit at 3.0104 (0.36 %) and Stop Loss at 3.0267 (0.18 %)

Short Trade on XRP

The 17 Sep 2025 at 08:33:46

With 1469.8151 XRP at 3.0213$ per unit.

Position size of 4440.7524 $

Take profit at 3.0104 (0.36 %) and Stop Loss at 3.0267 (0.18 %)

That's a 2.02 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.98
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.66
Prediction 3 Probability
0 0.55
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : range_medium

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.528134

15m : 0.075518

1H : 0.094721

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.003628574285
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 3.01888
  4. ema21 : 3.02286
  5. ema50 : 3.02767
  6. ema100 : 3.05118
  7. price_ema9_diff : 0.000799642
  8. ema9_ema21_diff : -0.0013168
  9. ema21_ema50_diff : -0.00158761
  10. price_ema100_diff : -0.00979358
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0569152
  14. ema_slope_21 : -0.0230982
  15. ema_slope_50 : -0.0132725
  16. ema_slope_100 : -0.0229003
  17. rsi : 0.491126
  18. adx : 0.133895
  19. kc_percentage : 0.475531
  20. kc_width_percentage : 0.0198558
  21. volume_ema_diff : -0.374443
  22. volume_ema1 : 13574378.60392
  23. volume_ema2 : 21699680.460799
  24. regime : range_medium
  25. ¸
  26. 15m
  27. ema9 : 3.01524
  28. ema21 : 3.01592
  29. ema50 : 3.02102
  30. ema100 : 3.02554
  31. price_ema9_diff : 0.00200835
  32. ema9_ema21_diff : -0.000225183
  33. ema21_ema50_diff : -0.00168835
  34. price_ema100_diff : -0.00140351
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0084648
  38. ema_slope_21 : -0.0135857
  39. ema_slope_50 : -0.0134566
  40. ema_slope_100 : -0.00941992
  41. rsi : 0.548411
  42. adx : 0.251463
  43. kc_percentage : 0.723102
  44. kc_width_percentage : 0.00820634
  45. volume_ema_diff : -0.373779
  46. volume_ema1 : 2594558.3411902
  47. volume_ema2 : 4143205.044814
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 3.0162
  52. ema21 : 3.01361
  53. ema50 : 3.01401
  54. ema100 : 3.01471
  55. price_ema9_diff : 0.00168927
  56. ema9_ema21_diff : 0.000858256
  57. ema21_ema50_diff : -0.000130371
  58. price_ema100_diff : 0.00218321
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.01666
  62. ema_slope_21 : 0.00598644
  63. ema_slope_50 : -0.000550624
  64. ema_slope_100 : -0.00102589
  65. rsi : 0.647339
  66. adx : 0.369365
  67. kc_percentage : 1.01972
  68. kc_width_percentage : 0.00484489
  69. volume_ema_diff : -0.0848853
  70. volume_ema1 : 1223401.5817745
  71. volume_ema2 : 1336883.3373497
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    116505
  77. 5m_price_ema100_diff:
    -0.00109554
  78. 5m_price:
    116377
  79. 5m_correlation_with_coin:
    0.528134
  80. btc_indicators
  81. 15m_ema100:
    116337
  82. 15m_price_ema100_diff:
    0.000347049
  83. 15m_price:
    116377
  84. 15m_correlation_with_coin:
    0.075518
  85. btc_indicators
  86. 1H_ema100:
    115898
  87. 1H_price_ema100_diff:
    0.00412831
  88. 1H_price:
    116377
  89. 1H_correlation_with_coin:
    0.094721
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Sep 2025
08:33:46
17 Sep 2025
09:20:00
46 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.0213 3.0267 3.0104 2.02 1.4088
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 3.0213
  • Stop Loss: 3.0267
  • Take Profit: 3.0104

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.0267 - 3.0213 = 0.0053999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.0213 - 3.0104 = 0.0109

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0109 / 0.0053999999999998 = 2.0185

📌 Position Size

Amount Margin Quantity Leverage
4440.7524 100 1469.8151 44.41
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 0.0053999999999998

Taille de position = 8 / 0.0053999999999998 = 1481.48

Taille de position USD = 1481.48 x 3.0213 = 4476

Donc, tu peux acheter 1481.48 avec un stoploss a 3.0267

Avec un position size USD de 4476$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1481.48 x 0.0053999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1481.48 x 0.0109 = 16.15

Si Take Profit atteint, tu gagneras 16.15$

Résumé

  • Taille de position 1481.48
  • Taille de position USD 4476
  • Perte potentielle 8
  • Gain potentiel 16.15
  • Risk-Reward Ratio 2.0185

📌 Peformances

TP % Target TP $ Target
0.36 % 16.02 $
SL % Target SL $ Target
0.18 % 7.94 $
PNL PNL %
-7.94 $ -0.18
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2615 % 146.33 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.0104
            [entry_price] => 3.0213
            [stop_loss] => 3.02724
            [rr_ratio] => 1.84
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 09:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.0104
            [entry_price] => 3.0213
            [stop_loss] => 3.02778
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 09:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.0104
            [entry_price] => 3.0213
            [stop_loss] => 3.02832
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 09:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.0104
            [entry_price] => 3.0213
            [stop_loss] => 3.0294
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 09:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0087000000000002
            [max_drawdown] => 0.0154
            [rr_ratio] => 0.56
            [high] => 3.03670000
            [low] => 3.01260000
            [mfe_pct] => 0.29
            [mae_pct] => 0.51
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 24
            [start_at] => 2025-09-17T08:33:46-04:00
            [end_at] => 2025-09-17T10:33:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0406
            [max_drawdown] => 0.0455
            [rr_ratio] => 0.89
            [high] => 3.06680000
            [low] => 2.98070000
            [mfe_pct] => 1.34
            [mae_pct] => 1.51
            [mfe_mae_ratio] => 0.89
            [candles_analyzed] => 84
            [start_at] => 2025-09-17T08:33:46-04:00
            [end_at] => 2025-09-17T15:33:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.02330000
            [high_after] => 3.06680000
            [low_before] => 3.00140000
            [low_after] => 3.00460000
            [is_new_high] => 
            [is_new_low] => 
        )

)