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Short Trade on NEIROETH

Short Trade on NEIROETH

The 23 Sep 2025 at 03:31:07

With 7719.3976 NEIROETH at 0.02019$ per unit.

Position size of 155.8546 $

Take profit at 0.01812 (10.25 %) and Stop Loss at 0.02123 (5.15 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.32
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.51
Prediction 2 Probability
0 0.68
Prediction 3 Probability
0 0.68
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bear_high
BTC Correlation Score

5m : -0.117034

15m : -0.000969

1H : 0.126461

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.0006909001944
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 0.0213415
  4. ema21 - 0.0249102
  5. ema50 - 0.0312026
  6. ema100 - 0.0366218
  7. price_ema9_diff - -0.0539584
  8. ema9_ema21_diff - -0.143261
  9. ema21_ema50_diff - -0.201663
  10. price_ema100_diff - -0.448689
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - -1.90776
  14. ema_slope_21 - -1.86175
  15. ema_slope_50 - -1.29662
  16. ema_slope_100 - -0.815209
  17. rsi - 0.339368
  18. adx - 0.326918
  19. kc_percentage - 0.121869
  20. kc_width_percentage - 0.580788
  21. volume_ema_diff - 0.0527182
  22. volume_ema1 - 2192348.718807
  23. volume_ema2 - 2082559.9007752
  24. chop - 62.9609
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0192107
  28. ema21 - 0.0203246
  29. ema50 - 0.0225668
  30. ema100 - 0.0258941
  31. price_ema9_diff - 0.0509754
  32. ema9_ema21_diff - -0.0548055
  33. ema21_ema50_diff - -0.0993605
  34. price_ema100_diff - -0.220288
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -1.34972
  38. ema_slope_21 - -1.05267
  39. ema_slope_50 - -0.738055
  40. ema_slope_100 - -0.558521
  41. rsi - 0.460367
  42. adx - 0.316809
  43. kc_percentage - 0.48963
  44. kc_width_percentage - 0.229915
  45. volume_ema_diff - -0.183547
  46. volume_ema1 - 523639.95079118
  47. volume_ema2 - 641360.33645721
  48. chop - 37.1158
  49. regime - bear_high
    50. ¸
  50. 5m
  51. ema9 - 0.0184136
  52. ema21 - 0.0185236
  53. ema50 - 0.0197684
  54. ema100 - 0.0209297
  55. price_ema9_diff - 0.0964671
  56. ema9_ema21_diff - -0.00593575
  57. ema21_ema50_diff - -0.0629684
  58. price_ema100_diff - -0.0353425
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - False
  61. ema_slope_9 - -0.0588684
  62. ema_slope_21 - -0.38407
  63. ema_slope_50 - -0.435933
  64. ema_slope_100 - -0.30853
  65. rsi - 0.641828
  66. adx - 0.637214
  67. kc_percentage - 1.06513
  68. kc_width_percentage - 0.14936
  69. volume_ema_diff - 0.519112
  70. volume_ema1 - 312844.44636746
  71. volume_ema2 - 205938.92561172
  72. chop - 26.6013
  73. regime - bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 112535
  77. 5m_price_ema100_diff: 0.00315983
  78. 5m_price: 112891
  79. 5m_correlation_with_coin: -0.117034
  80. btc_indicators
  81. 15m_ema100: 112557
  82. 15m_price_ema100_diff: 0.0029603
  83. 15m_price: 112891
  84. 15m_correlation_with_coin: -0.000969
  85. btc_indicators
  86. 1H_ema100: 114473
  87. 1H_price_ema100_diff: -0.0138182
  88. 1H_price: 112891
  89. 1H_correlation_with_coin: 0.126461
    90. ¸

📌 Time Data

Start at Closed at Duration
23 Sep 2025
03:31:07		 23 Sep 2025
04:05:00		 33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02019 0.02123 0.01812 1.99 0.00842
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 0.02019
  • Stop Loss: 0.02123
  • Take Profit: 0.01812

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02123 - 0.02019 = 0.00104

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02019 - 0.01812 = 0.00207

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00207 / 0.00104 = 1.9904

📌 Position Size

Amount Margin Quantity Leverage
155.8546 100 7719.3976 1.56
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 0.00104

Taille de position = 8 / 0.00104 = 7692.31

Taille de position USD = 7692.31 x 0.02019 = 155.31

Donc, tu peux acheter 7692.31 avec un stoploss a 0.02123

Avec un position size USD de 155.31$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7692.31 x 0.00104 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7692.31 x 0.00207 = 15.92

Si Take Profit atteint, tu gagneras 15.92$

Résumé

  • Taille de position 7692.31
  • Taille de position USD 155.31
  • Perte potentielle 8
  • Gain potentiel 15.92
  • Risk-Reward Ratio 1.9904

📌 Peformances

TP % Target TP $ Target
10.25 % 15.98 $
SL % Target SL $ Target
5.15 % 8.03 $
PNL PNL %
-8.03 $ -5.15
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-7.1322 % 138.46 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01812
            [entry_price] => 0.02019
            [stop_loss] => 0.021334
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-23 04:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01812
            [entry_price] => 0.02019
            [stop_loss] => 0.021438
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-23 04:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01812
            [entry_price] => 0.02019
            [stop_loss] => 0.021542
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-23 04:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01812
            [entry_price] => 0.02019
            [stop_loss] => 0.02175
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-23 04:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00166
            [max_drawdown] => 0.00234
            [rr_ratio] => 0.71
            [high] => 0.02253000
            [low] => 0.01853000
            [mfe_pct] => 8.22
            [mae_pct] => 11.59
            [mfe_mae_ratio] => 0.71
            [candles_analyzed] => 24
            [start_at] => 2025-09-23T03:31:07-04:00
            [end_at] => 2025-09-23T05:31:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00296
            [max_drawdown] => 0.00234
            [rr_ratio] => 1.26
            [high] => 0.02253000
            [low] => 0.01723000
            [mfe_pct] => 14.66
            [mae_pct] => 11.59
            [mfe_mae_ratio] => 1.26
            [candles_analyzed] => 84
            [start_at] => 2025-09-23T03:31:07-04:00
            [end_at] => 2025-09-23T10:31:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02463000
            [high_after] => 0.02253000
            [low_before] => 0.01683000
            [low_after] => 0.01723000
            [is_new_high] => 
            [is_new_low] => 
        )

)