Short Trade on XNY 27 Aug 2025 at 05:43:29

Take profit at 0.00699 (1.77 %) and Stop Loss at 0.0072 (1.18 %)

Short Trade on XNY

The 27 Aug 2025 at 05:43:29

With 95291.6049 XNY at 0.007116$ per unit.

Position size of 678.0951 $

Take profit at 0.00699 (1.77 %) and Stop Loss at 0.0072 (1.18 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 120
ML Pullback Score: 10
Prediction Score: 1.7
Prediction 1 Probability
Weak Trade
0.65
Prediction 2 Probability
0 0.58
Prediction 3 Probability
1 0.51
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.149311

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 5.596855399E-5
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 0.00701204
  4. ema21 : 0.00712166
  5. ema50 : 0.00723473
  6. ema100 : 0.00758075
  7. price_ema9_diff : 0.0148255
  8. ema9_ema21_diff : -0.015393
  9. ema21_ema50_diff : -0.0156289
  10. price_ema100_diff : -0.0613073
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.486252
  14. adx : 0.117612
  15. kc_percentage : 0.501776
  16. kc_width_percentage : 0.131453
  17. volume_ema_diff : -0.619741
  18. volume_ema1 : 513803.15214941
  19. volume_ema2 : 1351194.1261092
  20. ¸
  21. 15m
  22. ema9 : 0.00697154
  23. ema21 : 0.00695997
  24. ema50 : 0.00703304
  25. ema100 : 0.00721474
  26. price_ema9_diff : 0.020721
  27. ema9_ema21_diff : 0.00166271
  28. ema21_ema50_diff : -0.0103903
  29. price_ema100_diff : -0.0136867
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.580713
  33. adx : 0.123009
  34. kc_percentage : 0.885461
  35. kc_width_percentage : 0.0570872
  36. volume_ema_diff : -0.372696
  37. volume_ema1 : 110344.03465144
  38. volume_ema2 : 175902.06365579
  39. ¸
  40. 5m
  41. ema9 : 0.0070318
  42. ema21 : 0.00697517
  43. ema50 : 0.00695039
  44. ema100 : 0.00693463
  45. price_ema9_diff : 0.0119738
  46. ema9_ema21_diff : 0.00811813
  47. ema21_ema50_diff : 0.00356575
  48. price_ema100_diff : 0.026153
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.694165
  52. adx : 0.177882
  53. kc_percentage : 1.11363
  54. kc_width_percentage : 0.0316472
  55. volume_ema_diff : -0.142764
  56. volume_ema1 : 38174.686245784
  57. volume_ema2 : 44532.305473658
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    111009
  62. 5m_price_ema100_diff:
    -0.00146503
  63. 5m_price:
    110847
  64. 5m_correlation_with_coin:
    0.149311
  65. btc_indicators
  66. 15m_ema100:
    110817
  67. 15m_price_ema100_diff:
    0.00181471
  68. 15m_price:
    111018
  69. btc_indicators
  70. 1H_ema100:
    112221
  71. 1H_price_ema100_diff:
    -0.012244
  72. 1H_price:
    110847
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
27 Aug 2025
05:43:29
27 Aug 2025
06:20:00
36 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.007116 0.0072 0.00699 1.5 0.003758
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 0.007116
  • Stop Loss: 0.0072
  • Take Profit: 0.00699

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0072 - 0.007116 = 8.4E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.007116 - 0.00699 = 0.000126

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.000126 / 8.4E-5 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
678.0951 100 95291.6049 6.78
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 8.4E-5

Taille de position = 8 / 8.4E-5 = 95238.1

Taille de position USD = 95238.1 x 0.007116 = 677.71

Donc, tu peux acheter 95238.1 avec un stoploss a 0.0072

Avec un position size USD de 677.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 95238.1 x 8.4E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 95238.1 x 0.000126 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 95238.1
  • Taille de position USD 677.71
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.77 % 12.01 $
SL % Target SL $ Target
1.18 % 8 $
PNL PNL %
12.01 $ 1.77
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0562 % 4.76 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.006948
            [stop_loss] => 0.0072
            [rr_ratio] => 2
            [closed_at] => 2025-08-27 07:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.006906
            [stop_loss] => 0.0072
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-27 07:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.006864
            [stop_loss] => 0.0072
            [rr_ratio] => 3
            [closed_at] => 2025-08-27 08:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.006822
            [stop_loss] => 0.0072
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-27 08:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.00678
            [stop_loss] => 0.0072
            [rr_ratio] => 4
            [closed_at] => 2025-08-27 08:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.006738
            [stop_loss] => 0.0072
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-27 08:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.006696
            [stop_loss] => 0.0072
            [rr_ratio] => 5
            [closed_at] => 2025-08-27 08:35:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.006654
            [stop_loss] => 0.0072
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-27 08:35:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.006612
            [stop_loss] => 0.0072
            [rr_ratio] => 6
            [closed_at] => 2025-08-27 08:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000142
            [max_drawdown] => 3.9999999999997E-6
            [rr_ratio] => 35.5
            [high] => 0.00712000
            [low] => 0.00697400
            [mfe_pct] => 2
            [mae_pct] => 0.06
            [mfe_mae_ratio] => 35.5
            [candles_analyzed] => 24
            [start_at] => 2025-08-27T05:43:29-04:00
            [end_at] => 2025-08-27T07:43:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000712
            [max_drawdown] => 3.9999999999997E-6
            [rr_ratio] => 100
            [high] => 0.00712000
            [low] => 0.00640400
            [mfe_pct] => 10.01
            [mae_pct] => 0.06
            [mfe_mae_ratio] => 178
            [candles_analyzed] => 84
            [start_at] => 2025-08-27T05:43:29-04:00
            [end_at] => 2025-08-27T12:43:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00712900
            [high_after] => 0.00712000
            [low_before] => 0.00678600
            [low_after] => 0.00657400
            [is_new_high] => 
            [is_new_low] => 1
        )

)