Short Trade on XRP 28 Aug 2025 at 18:23:08

Take profit at 2.9609 (0.37 %) and Stop Loss at 2.9794 (0.25 %)

Short Trade on XRP

The 28 Aug 2025 at 18:23:08

With 1077.6793 XRP at 2.972$ per unit.

Position size of 3202.8628 $

Take profit at 2.9609 (0.37 %) and Stop Loss at 2.9794 (0.25 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 120
ML Pullback Score: 7.7
Prediction Score: -0.4712
Prediction 1 Probability
Weak Trade
0.87
Prediction 2 Probability
0 0.58
Prediction 3 Probability
0 0.78
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.729186

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.004948905852
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 2.97027
  4. ema21 : 2.98099
  5. ema50 : 2.98421
  6. ema100 : 2.98612
  7. price_ema9_diff : 0.00058049
  8. ema9_ema21_diff : -0.00359554
  9. ema21_ema50_diff : -0.00107966
  10. price_ema100_diff : -0.0047296
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.466967
  14. adx : 0.188968
  15. kc_percentage : 0.412175
  16. kc_width_percentage : 0.0324772
  17. volume_ema_diff : -0.622074
  18. volume_ema1 : 14152074.7712
  19. volume_ema2 : 37446725.521772
  20. ¸
  21. 15m
  22. ema9 : 2.96055
  23. ema21 : 2.96621
  24. ema50 : 2.97811
  25. ema100 : 2.98507
  26. price_ema9_diff : 0.003866
  27. ema9_ema21_diff : -0.00190963
  28. ema21_ema50_diff : -0.00399489
  29. price_ema100_diff : -0.00438112
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.471773
  33. adx : 0.388643
  34. kc_percentage : 0.662724
  35. kc_width_percentage : 0.0131524
  36. volume_ema_diff : -0.533428
  37. volume_ema1 : 2503451.2389116
  38. volume_ema2 : 5365631.905381
  39. ¸
  40. 5m
  41. ema9 : 2.96406
  42. ema21 : 2.96062
  43. ema50 : 2.96421
  44. ema100 : 2.97359
  45. price_ema9_diff : 0.0026779
  46. ema9_ema21_diff : 0.00116114
  47. ema21_ema50_diff : -0.00121062
  48. price_ema100_diff : -0.000535959
  49. all_emas_in_trend : False
  50. all_emas_and_price_in_trend : False
  51. rsi : 0.634753
  52. adx : 0.310664
  53. kc_percentage : 1.09941
  54. kc_width_percentage : 0.00634618
  55. volume_ema_diff : -0.29488
  56. volume_ema1 : 1022343.4282589
  57. volume_ema2 : 1449887.4375884
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    112310
  62. 5m_price_ema100_diff:
    6.55819E-5
  63. 5m_price:
    112317
  64. 5m_correlation_with_coin:
    0.729186
  65. btc_indicators
  66. 15m_ema100:
    112320
  67. 15m_price_ema100_diff:
    -0.00107419
  68. 15m_price:
    112200
  69. btc_indicators
  70. 1H_ema100:
    111853
  71. 1H_price_ema100_diff:
    0.00414943
  72. 1H_price:
    112317
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
28 Aug 2025
18:23:08
28 Aug 2025
20:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.972 2.9794 2.9609 1.5 1.4025
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 2.972
  • Stop Loss: 2.9794
  • Take Profit: 2.9609

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.9794 - 2.972 = 0.0074000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.972 - 2.9609 = 0.0111

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0111 / 0.0074000000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3202.8628 100 1077.6793 32.03
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 0.0074000000000001

Taille de position = 8 / 0.0074000000000001 = 1081.08

Taille de position USD = 1081.08 x 2.972 = 3212.97

Donc, tu peux acheter 1081.08 avec un stoploss a 2.9794

Avec un position size USD de 3212.97$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1081.08 x 0.0074000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1081.08 x 0.0111 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 1081.08
  • Taille de position USD 3212.97
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.37 % 11.96 $
SL % Target SL $ Target
0.25 % 7.97 $
PNL PNL %
11.96 $ 0.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2019 % 81.08 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.9572
            [stop_loss] => 2.9794
            [rr_ratio] => 2
            [closed_at] => 2025-08-28 20:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.9535
            [stop_loss] => 2.9794
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-28 20:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.9498
            [stop_loss] => 2.9794
            [rr_ratio] => 3
            [closed_at] => 2025-08-28 21:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.9461
            [stop_loss] => 2.9794
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-28 21:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.9424
            [stop_loss] => 2.9794
            [rr_ratio] => 4
            [closed_at] => 2025-08-28 21:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.9387
            [stop_loss] => 2.9794
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-28 21:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.935
            [stop_loss] => 2.9794
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 00:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.9313
            [stop_loss] => 2.9794
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 00:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.9276
            [stop_loss] => 2.9794
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 00:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0127
            [max_drawdown] => 0.0060000000000002
            [rr_ratio] => 2.12
            [high] => 2.97800000
            [low] => 2.95930000
            [mfe_pct] => 0.43
            [mae_pct] => 0.2
            [mfe_mae_ratio] => 2.12
            [candles_analyzed] => 24
            [start_at] => 2025-08-28T18:23:08-04:00
            [end_at] => 2025-08-28T20:23:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0697
            [max_drawdown] => 0.0060000000000002
            [rr_ratio] => 11.62
            [high] => 2.97800000
            [low] => 2.90230000
            [mfe_pct] => 2.35
            [mae_pct] => 0.2
            [mfe_mae_ratio] => 11.62
            [candles_analyzed] => 84
            [start_at] => 2025-08-28T18:23:08-04:00
            [end_at] => 2025-08-29T01:23:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.98590000
            [high_after] => 2.97800000
            [low_before] => 2.94190000
            [low_after] => 2.92670000
            [is_new_high] => 
            [is_new_low] => 1
        )

)