Short Trade on NMR 09 Sep 2025 at 22:08:45

Take profit at 16.1679 (1.39 %) and Stop Loss at 16.51 (0.7 %)

Short Trade on NMR

The 09 Sep 2025 at 22:08:45

With 70.1573 NMR at 16.396$ per unit.

Position size of 1150.2988 $

Take profit at 16.1679 (1.39 %) and Stop Loss at 16.51 (0.7 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.94
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.6
Prediction 3 Probability
1 0.55
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_medium

BTC Correlation Score

5m : 0.309509

15m : -0.055923

1H : 0.033918

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.07601967109
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 16.3251
  4. ema21 : 16.5714
  5. ema50 : 17.1218
  6. ema100 : 16.9628
  7. price_ema9_diff : 0.00434237
  8. ema9_ema21_diff : -0.0148647
  9. ema21_ema50_diff : -0.0321457
  10. price_ema100_diff : -0.0334188
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.239809
  14. ema_slope_21 : -0.275249
  15. ema_slope_50 : -0.234239
  16. ema_slope_100 : -0.0844351
  17. rsi : 0.406685
  18. adx : 0.29448
  19. kc_percentage : 0.35114
  20. kc_width_percentage : 0.0617945
  21. volume_ema_diff : -0.660782
  22. volume_ema1 : 593155.77490558
  23. volume_ema2 : 1748597.838369
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 16.2456
  28. ema21 : 16.2613
  29. ema50 : 16.3782
  30. ema100 : 16.5164
  31. price_ema9_diff : 0.00925406
  32. ema9_ema21_diff : -0.000961702
  33. ema21_ema50_diff : -0.00713892
  34. price_ema100_diff : -0.0072925
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0220858
  38. ema_slope_21 : -0.0444773
  39. ema_slope_50 : -0.0514157
  40. ema_slope_100 : -0.0415891
  41. rsi : 0.563797
  42. adx : 0.167225
  43. kc_percentage : 0.784675
  44. kc_width_percentage : 0.0295722
  45. volume_ema_diff : -0.10927
  46. volume_ema1 : 174346.06138401
  47. volume_ema2 : 195733.93716203
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 16.2744
  52. ema21 : 16.2258
  53. ema50 : 16.2339
  54. ema100 : 16.29
  55. price_ema9_diff : 0.00746865
  56. ema9_ema21_diff : 0.0029925
  57. ema21_ema50_diff : -0.000494177
  58. price_ema100_diff : 0.00650564
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0930986
  62. ema_slope_21 : 0.0387542
  63. ema_slope_50 : 0.0040121
  64. ema_slope_100 : -0.00679631
  65. rsi : 0.643674
  66. adx : 0.301388
  67. kc_percentage : 1.00716
  68. kc_width_percentage : 0.0202547
  69. volume_ema_diff : -0.571781
  70. volume_ema1 : 27570.185658878
  71. volume_ema2 : 64383.497555933
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111192
  77. 5m_price_ema100_diff:
    0.00056333
  78. 5m_price:
    111255
  79. 5m_correlation_with_coin:
    0.309509
  80. btc_indicators
  81. 15m_ema100:
    111549
  82. 15m_price_ema100_diff:
    -0.00264063
  83. 15m_price:
    111255
  84. 15m_correlation_with_coin:
    -0.055923
  85. btc_indicators
  86. 1H_ema100:
    111384
  87. 1H_price_ema100_diff:
    -0.00116191
  88. 1H_price:
    111255
  89. 1H_correlation_with_coin:
    0.033918
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
22:08:45
09 Sep 2025
22:45:00
36 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
16.396 16.51 16.1679 2 7.888
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 16.396
  • Stop Loss: 16.51
  • Take Profit: 16.1679

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 16.51 - 16.396 = 0.114

  • Récompense (distance jusqu'au take profit):

    E - TP = 16.396 - 16.1679 = 0.2281

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.2281 / 0.114 = 2.0009

📌 Position Size

Amount Margin Quantity Leverage
1150.2988 100 70.1573 11.50
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 0.114

Taille de position = 8 / 0.114 = 70.18

Taille de position USD = 70.18 x 16.396 = 1150.67

Donc, tu peux acheter 70.18 avec un stoploss a 16.51

Avec un position size USD de 1150.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 70.18 x 0.114 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 70.18 x 0.2281 = 16.01

Si Take Profit atteint, tu gagneras 16.01$

Résumé

  • Taille de position 70.18
  • Taille de position USD 1150.67
  • Perte potentielle 8
  • Gain potentiel 16.01
  • Risk-Reward Ratio 2.0009

📌 Peformances

TP % Target TP $ Target
1.39 % 16 $
SL % Target SL $ Target
0.7 % 8 $
PNL PNL %
-8 $ -0.70
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.8846 % 271.05 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 16.1679
            [entry_price] => 16.396
            [stop_loss] => 16.5214
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 22:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 16.1679
            [entry_price] => 16.396
            [stop_loss] => 16.5328
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 22:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 16.1679
            [entry_price] => 16.396
            [stop_loss] => 16.5442
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 22:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 16.1679
            [entry_price] => 16.396
            [stop_loss] => 16.567
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 22:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.322
            [max_drawdown] => 0.445
            [rr_ratio] => 0.72
            [high] => 16.84100000
            [low] => 16.07400000
            [mfe_pct] => 1.96
            [mae_pct] => 2.71
            [mfe_mae_ratio] => 0.72
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T22:08:45-04:00
            [end_at] => 2025-09-10T00:08:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.36
            [max_drawdown] => 0.597
            [rr_ratio] => 0.6
            [high] => 16.99300000
            [low] => 16.03600000
            [mfe_pct] => 2.2
            [mae_pct] => 3.64
            [mfe_mae_ratio] => 0.6
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T22:08:45-04:00
            [end_at] => 2025-09-10T05:08:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 16.40300000
            [high_after] => 16.99300000
            [low_before] => 15.98100000
            [low_after] => 16.03600000
            [is_new_high] => 
            [is_new_low] => 
        )

)