Short Trade on NMR 15 Sep 2025 at 14:42:41

Take profit at 17.1275 (1.33 %) and Stop Loss at 17.4733 (0.66 %)

Short Trade on NMR

The 15 Sep 2025 at 14:42:41

With 69.3995 NMR at 17.358$ per unit.

Position size of 1204.636 $

Take profit at 17.1275 (1.33 %) and Stop Loss at 17.4733 (0.66 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.26
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
0 0.49
Prediction 3 Probability
0 0.67
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.426644

15m : 0.025193

1H : 0.155194

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.0768497698
Details
  1. score: 1.22
  2. 1H
  3. ema9 : 17.2566
  4. ema21 : 17.4047
  5. ema50 : 17.6527
  6. ema100 : 17.975
  7. price_ema9_diff : 0.00587198
  8. ema9_ema21_diff : -0.00850612
  9. ema21_ema50_diff : -0.0140529
  10. price_ema100_diff : -0.0343265
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.220254
  14. ema_slope_21 : -0.151638
  15. ema_slope_50 : -0.109327
  16. ema_slope_100 : -0.0866435
  17. rsi : 0.481648
  18. adx : 0.132204
  19. kc_percentage : 0.474802
  20. kc_width_percentage : 0.0823
  21. volume_ema_diff : -0.283619
  22. volume_ema1 : 740256.51223629
  23. volume_ema2 : 1033329.2481659
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 17.1166
  28. ema21 : 17.1287
  29. ema50 : 17.2555
  30. ema100 : 17.3648
  31. price_ema9_diff : 0.0141007
  32. ema9_ema21_diff : -0.000709266
  33. ema21_ema50_diff : -0.00734782
  34. price_ema100_diff : -0.000393958
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0106799
  38. ema_slope_21 : -0.0598312
  39. ema_slope_50 : -0.0600061
  40. ema_slope_100 : -0.0412682
  41. rsi : 0.547854
  42. adx : 0.229272
  43. kc_percentage : 0.88599
  44. kc_width_percentage : 0.0348543
  45. volume_ema_diff : -0.583023
  46. volume_ema1 : 100860.74018498
  47. volume_ema2 : 241885.82733253
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 17.2255
  52. ema21 : 17.1325
  53. ema50 : 17.1069
  54. ema100 : 17.1625
  55. price_ema9_diff : 0.00769143
  56. ema9_ema21_diff : 0.00542458
  57. ema21_ema50_diff : 0.00149738
  58. price_ema100_diff : 0.0113899
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.130642
  62. ema_slope_21 : 0.0800483
  63. ema_slope_50 : 0.0253675
  64. ema_slope_100 : 0.00293134
  65. rsi : 0.707797
  66. adx : 0.321299
  67. kc_percentage : 1.2241
  68. kc_width_percentage : 0.0175676
  69. volume_ema_diff : -0.56856
  70. volume_ema1 : 27017.88522409
  71. volume_ema2 : 62622.721134611
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114772
  77. 5m_price_ema100_diff:
    0.00112308
  78. 5m_price:
    114900
  79. 5m_correlation_with_coin:
    0.426644
  80. btc_indicators
  81. 15m_ema100:
    115164
  82. 15m_price_ema100_diff:
    -0.00246931
  83. 15m_price:
    114880
  84. 15m_correlation_with_coin:
    0.025193
  85. btc_indicators
  86. 1H_ema100:
    115253
  87. 1H_price_ema100_diff:
    -0.00305676
  88. 1H_price:
    114900
  89. 1H_correlation_with_coin:
    0.155194
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:42:41
15 Sep 2025
14:45:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
17.358 17.4733 17.1275 2 7.896
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 17.358
  • Stop Loss: 17.4733
  • Take Profit: 17.1275

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 17.4733 - 17.358 = 0.1153

  • Récompense (distance jusqu'au take profit):

    E - TP = 17.358 - 17.1275 = 0.2305

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.2305 / 0.1153 = 1.9991

📌 Position Size

Amount Margin Quantity Leverage
1204.636 100 69.3995 12.05
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 0.1153

Taille de position = 8 / 0.1153 = 69.38

Taille de position USD = 69.38 x 17.358 = 1204.3

Donc, tu peux acheter 69.38 avec un stoploss a 17.4733

Avec un position size USD de 1204.3$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 69.38 x 0.1153 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 69.38 x 0.2305 = 15.99

Si Take Profit atteint, tu gagneras 15.99$

Résumé

  • Taille de position 69.38
  • Taille de position USD 1204.3
  • Perte potentielle 8
  • Gain potentiel 15.99
  • Risk-Reward Ratio 1.9991

📌 Peformances

TP % Target TP $ Target
1.33 % 16 $
SL % Target SL $ Target
0.66 % 8 $
PNL PNL %
-8 $ -0.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.6558 % 399.85 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 17.1275
            [entry_price] => 17.358
            [stop_loss] => 17.48483
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 14:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 17.1275
            [entry_price] => 17.358
            [stop_loss] => 17.49636
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 14:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 17.1275
            [entry_price] => 17.358
            [stop_loss] => 17.50789
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 14:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 17.1275
            [entry_price] => 17.358
            [stop_loss] => 17.53095
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 14:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.103
            [max_drawdown] => 0.503
            [rr_ratio] => 0.2
            [high] => 17.86100000
            [low] => 17.25500000
            [mfe_pct] => 0.59
            [mae_pct] => 2.9
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:42:41-04:00
            [end_at] => 2025-09-15T16:42:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.103
            [max_drawdown] => 0.61
            [rr_ratio] => 0.17
            [high] => 17.96800000
            [low] => 17.25500000
            [mfe_pct] => 0.59
            [mae_pct] => 3.51
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:42:41-04:00
            [end_at] => 2025-09-15T21:42:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 17.43000000
            [high_after] => 17.86100000
            [low_before] => 16.65500000
            [low_after] => 17.25500000
            [is_new_high] => 
            [is_new_low] => 
        )

)