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Short Trade on NAORIS

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Short Trade on NAORIS 15 Sep 2025 at 19:37:53

Take profit at 0.06586 (3.84 %) and Stop Loss at 0.0698 (1.91 %)

Short Trade on NAORIS

The 15 Sep 2025 at 19:37:53

With 6084.925 NAORIS at 0.06849$ per unit.

Position size of 416.7565 $

Take profit at 0.06586 (3.84 %) and Stop Loss at 0.0698 (1.91 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 5.92
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
0 0.62
Prediction 3 Probability
1 0.64
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high
BTC Correlation Score

5m : 0.107696

15m : -0.04194

1H : 0.045252

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0008764829987
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.0693378
  4. ema21 : 0.0745839
  5. ema50 : 0.0808875
  6. ema100 : 0.0826033
  7. price_ema9_diff : -0.012228
  8. ema9_ema21_diff : -0.0703373
  9. ema21_ema50_diff : -0.0779307
  10. price_ema100_diff : -0.170856
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -1.30186
  14. ema_slope_21 : -1.044
  15. ema_slope_50 : -0.621986
  16. ema_slope_100 : -0.316544
  17. rsi : 0.328801
  18. adx : 0.411204
  19. kc_percentage : 0.0695097
  20. kc_width_percentage : 0.194098
  21. volume_ema_diff : -0.500403
  22. volume_ema1 : 715590.60570763
  23. volume_ema2 : 1432336.1404609
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.0667727
  27. ema21 : 0.0672277
  28. ema50 : 0.0709506
  29. ema100 : 0.0754053
  30. price_ema9_diff : 0.0257176
  31. ema9_ema21_diff : -0.00676803
  32. ema21_ema50_diff : -0.0524711
  33. price_ema100_diff : -0.0917093
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0489175
  37. ema_slope_21 : -0.276483
  38. ema_slope_50 : -0.350511
  39. ema_slope_100 : -0.278109
  40. rsi : 0.504463
  41. adx : 0.381424
  42. kc_percentage : 0.724733
  43. kc_width_percentage : 0.0887362
  44. volume_ema_diff : -0.220061
  45. volume_ema1 : 167282.58237284
  46. volume_ema2 : 214481.8699828
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 0.0676309
  50. ema21 : 0.0665328
  51. ema50 : 0.0665217
  52. ema100 : 0.0683389
  53. price_ema9_diff : 0.0127014
  54. ema9_ema21_diff : 0.0165055
  55. ema21_ema50_diff : 0.000165826
  56. price_ema100_diff : 0.00221083
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.550142
  60. ema_slope_21 : 0.301446
  61. ema_slope_50 : 0.0701808
  62. ema_slope_100 : -0.0327542
  63. rsi : 0.672562
  64. adx : 0.356005
  65. kc_percentage : 1.02137
  66. kc_width_percentage : 0.0533236
  67. volume_ema_diff : -0.348679
  68. volume_ema1 : 43844.279208913
  69. volume_ema2 : 67315.937891565
  70. regime : bull_high
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115125
  74. 5m_price_ema100_diff: 
    0.00217472
  75. 5m_price: 
    115375
  76. 5m_correlation_with_coin: 
    0.107696
  77. btc_indicators
  78. 15m_ema100: 
    115263
  79. 15m_price_ema100_diff: 
    0.00135973
  80. 15m_price: 
    115420
  81. 15m_correlation_with_coin: 
    -0.04194
  82. btc_indicators
  83. 1H_ema100: 
    115293
  84. 1H_price_ema100_diff: 
    0.000712887
  85. 1H_price: 
    115375
  86. 1H_correlation_with_coin: 
    0.045252
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
19:37:53		 15 Sep 2025
20:30:00		 52 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06849 0.0698 0.06586 2.01 0.03184
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 0.06849
  • Stop Loss: 0.0698
  • Take Profit: 0.06586

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0698 - 0.06849 = 0.00131

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06849 - 0.06586 = 0.00263

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00263 / 0.00131 = 2.0076

📌 Position Size

Amount Margin Quantity Leverage
416.7565 100 6084.925 4.17
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 0.00131

Taille de position = 8 / 0.00131 = 6106.87

Taille de position USD = 6106.87 x 0.06849 = 418.26

Donc, tu peux acheter 6106.87 avec un stoploss a 0.0698

Avec un position size USD de 418.26$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6106.87 x 0.00131 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6106.87 x 0.00263 = 16.06

Si Take Profit atteint, tu gagneras 16.06$

Résumé

  • Taille de position 6106.87
  • Taille de position USD 418.26
  • Perte potentielle 8
  • Gain potentiel 16.06
  • Risk-Reward Ratio 2.0076

📌 Peformances

TP % Target TP $ Target
3.84 % 16 $
SL % Target SL $ Target
1.91 % 7.97 $
PNL PNL %
-7.97 $ -1.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.3945 % 125.19 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06586
            [entry_price] => 0.06849
            [stop_loss] => 0.069931
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 20:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06586
            [entry_price] => 0.06849
            [stop_loss] => 0.070062
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 20:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06586
            [entry_price] => 0.06849
            [stop_loss] => 0.070193
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 21:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06586
            [entry_price] => 0.06849
            [stop_loss] => 0.070455
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 23:20:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00175
            [max_drawdown] => 0.00174
            [rr_ratio] => 1.01
            [high] => 0.07023000
            [low] => 0.06674000
            [mfe_pct] => 2.56
            [mae_pct] => 2.54
            [mfe_mae_ratio] => 1.01
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T19:37:53-04:00
            [end_at] => 2025-09-15T21:37:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00964
            [max_drawdown] => 0.00174
            [rr_ratio] => 5.54
            [high] => 0.07023000
            [low] => 0.05885000
            [mfe_pct] => 14.08
            [mae_pct] => 2.54
            [mfe_mae_ratio] => 5.54
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T19:37:53-04:00
            [end_at] => 2025-09-16T02:37:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06923000
            [high_after] => 0.07023000
            [low_before] => 0.06267000
            [low_after] => 0.05885000
            [is_new_high] => 
            [is_new_low] => 1
        )

)