Short Trade on NMR 09 Sep 2025 at 02:30:30

Take profit at 16.866 (1.83 %) and Stop Loss at 17.3385 (0.92 %)

Short Trade on NMR

The 09 Sep 2025 at 02:30:30

With 50.8001 NMR at 17.181$ per unit.

Position size of 872.7973 $

Take profit at 16.866 (1.83 %) and Stop Loss at 17.3385 (0.92 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -80
ML Pullback Score: 2.91
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.78
Prediction 3 Probability
0 0.95
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.170592

15m : -0.025993

1H : 0.14414

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.35
  4. atr: 0.1049865805
Details
  1. score: 1.35
  2. 1H
  3. ema9 : 16.997
  4. ema21 : 17.5157
  5. ema50 : 17.9288
  6. ema100 : 17.2552
  7. price_ema9_diff : 0.0108206
  8. ema9_ema21_diff : -0.0296113
  9. ema21_ema50_diff : -0.0230432
  10. price_ema100_diff : -0.00430573
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.573738
  14. ema_slope_21 : -0.517814
  15. ema_slope_50 : -0.253133
  16. ema_slope_100 : -0.0287428
  17. rsi : 0.404591
  18. adx : 0.359432
  19. kc_percentage : 0.306382
  20. kc_width_percentage : 0.0888192
  21. volume_ema_diff : -0.588135
  22. volume_ema1 : 1229633.5344742
  23. volume_ema2 : 2985532.1986354
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 16.8326
  28. ema21 : 16.8231
  29. ema50 : 17.1335
  30. ema100 : 17.6097
  31. price_ema9_diff : 0.0206977
  32. ema9_ema21_diff : 0.000564606
  33. ema21_ema50_diff : -0.0181173
  34. price_ema100_diff : -0.0243451
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0450776
  38. ema_slope_21 : -0.0637114
  39. ema_slope_50 : -0.118797
  40. ema_slope_100 : -0.112559
  41. rsi : 0.633038
  42. adx : 0.307014
  43. kc_percentage : 1.05749
  44. kc_width_percentage : 0.0380478
  45. volume_ema_diff : 0.511975
  46. volume_ema1 : 448032.56103902
  47. volume_ema2 : 296322.5969499
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 16.9358
  52. ema21 : 16.7887
  53. ema50 : 16.7595
  54. ema100 : 16.8639
  55. price_ema9_diff : 0.0144731
  56. ema9_ema21_diff : 0.00876093
  57. ema21_ema50_diff : 0.00174602
  58. price_ema100_diff : 0.0187994
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.179821
  62. ema_slope_21 : 0.0866573
  63. ema_slope_50 : 0.0203696
  64. ema_slope_100 : -0.00722063
  65. rsi : 0.823276
  66. adx : 0.278953
  67. kc_percentage : 1.34514
  68. kc_width_percentage : 0.0265792
  69. volume_ema_diff : 0.780978
  70. volume_ema1 : 215218.37285456
  71. volume_ema2 : 120842.78599377
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111917
  77. 5m_price_ema100_diff:
    0.00602781
  78. 5m_price:
    112591
  79. 5m_correlation_with_coin:
    0.170592
  80. btc_indicators
  81. 15m_ema100:
    111813
  82. 15m_price_ema100_diff:
    0.00696236
  83. 15m_price:
    112591
  84. 15m_correlation_with_coin:
    -0.025993
  85. btc_indicators
  86. 1H_ema100:
    111382
  87. 1H_price_ema100_diff:
    0.0108598
  88. 1H_price:
    112591
  89. 1H_correlation_with_coin:
    0.14414
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
02:30:30
09 Sep 2025
02:50:00
19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
17.181 17.3385 16.866 2 7.937
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 17.181
  • Stop Loss: 17.3385
  • Take Profit: 16.866

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 17.3385 - 17.181 = 0.1575

  • Récompense (distance jusqu'au take profit):

    E - TP = 17.181 - 16.866 = 0.315

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.315 / 0.1575 = 2

📌 Position Size

Amount Margin Quantity Leverage
872.7973 100 50.8001 8.73
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 0.1575

Taille de position = 8 / 0.1575 = 50.79

Taille de position USD = 50.79 x 17.181 = 872.62

Donc, tu peux acheter 50.79 avec un stoploss a 17.3385

Avec un position size USD de 872.62$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 50.79 x 0.1575 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 50.79 x 0.315 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 50.79
  • Taille de position USD 872.62
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.83 % 16 $
SL % Target SL $ Target
0.92 % 8 $
PNL PNL %
-8 $ -0.92
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1699 % 127.62 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 16.866
            [entry_price] => 17.181
            [stop_loss] => 17.35425
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 02:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 16.866
            [entry_price] => 17.181
            [stop_loss] => 17.37
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 02:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 16.866
            [entry_price] => 17.181
            [stop_loss] => 17.38575
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 04:35:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 16.866
            [entry_price] => 17.181
            [stop_loss] => 17.41725
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 04:35:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.277
            [max_drawdown] => 0.201
            [rr_ratio] => 1.38
            [high] => 17.38200000
            [low] => 16.90400000
            [mfe_pct] => 1.61
            [mae_pct] => 1.17
            [mfe_mae_ratio] => 1.38
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T02:30:30-04:00
            [end_at] => 2025-09-09T04:30:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.606
            [max_drawdown] => 0.201
            [rr_ratio] => 3.01
            [high] => 17.38200000
            [low] => 16.57500000
            [mfe_pct] => 3.53
            [mae_pct] => 1.17
            [mfe_mae_ratio] => 3.01
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T02:30:30-04:00
            [end_at] => 2025-09-09T09:30:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 17.23600000
            [high_after] => 17.38200000
            [low_before] => 16.46600000
            [low_after] => 16.61900000
            [is_new_high] => 
            [is_new_low] => 
        )

)