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Short Trade on NEIROETH

Short Trade on NEIROETH

The 24 Sep 2025 at 14:12:29

With 21679.894 NEIROETH at 0.01615$ per unit.

Position size of 350.1303 $

Take profit at 0.01541 (4.58 %) and Stop Loss at 0.01652 (2.29 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.8
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.6
Prediction 2 Probability
1 0.54
Prediction 3 Probability
0 0.9
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : range_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bull_high

5m_regime : bull_high
BTC Correlation Score

5m : 0.028353

15m : -0.015874

1H : -0.00553

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0002460036626
Details
  1. score: 1.11
  2. 1H
  3. ema9 - 0.0156268
  4. ema21 - 0.0161639
  5. ema50 - 0.0199163
  6. ema100 - 0.0262974
  7. price_ema9_diff - 0.0334771
  8. ema9_ema21_diff - -0.0332289
  9. ema21_ema50_diff - -0.188406
  10. price_ema100_diff - -0.385871
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.247713
  14. ema_slope_21 - -0.659999
  15. ema_slope_50 - -1.00665
  16. ema_slope_100 - -0.837872
  17. rsi - 0.465685
  18. adx - 0.207943
  19. kc_percentage - 0.512842
  20. kc_width_percentage - 0.315795
  21. volume_ema_diff - -0.516323
  22. volume_ema1 - 1022309.6656325
  23. volume_ema2 - 2113623.9189621
  24. chop - 76.6115
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0155425
  28. ema21 - 0.0154015
  29. ema50 - 0.0154767
  30. ema100 - 0.0157693
  31. price_ema9_diff - 0.0390829
  32. ema9_ema21_diff - 0.00915197
  33. ema21_ema50_diff - -0.00485784
  34. price_ema100_diff - 0.0241355
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.135276
  38. ema_slope_21 - -0.00808108
  39. ema_slope_50 - -0.0505677
  40. ema_slope_100 - -0.0669171
  41. rsi - 0.611665
  42. adx - 0.185166
  43. kc_percentage - 0.875499
  44. kc_width_percentage - 0.122917
  45. volume_ema_diff - -0.377115
  46. volume_ema1 - 271736.84932361
  47. volume_ema2 - 436255.61967362
  48. chop - 61.7404
  49. regime - bull_high
    50. ¸
  50. 5m
  51. ema9 - 0.015835
  52. ema21 - 0.0155329
  53. ema50 - 0.0153585
  54. ema100 - 0.0152494
  55. price_ema9_diff - 0.0198874
  56. ema9_ema21_diff - 0.0194494
  57. ema21_ema50_diff - 0.0113564
  58. price_ema100_diff - 0.0590527
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.4313
  62. ema_slope_21 - 0.2666
  63. ema_slope_50 - 0.111669
  64. ema_slope_100 - 0.0615627
  65. rsi - 0.730398
  66. adx - 0.295391
  67. kc_percentage - 1.11257
  68. kc_width_percentage - 0.0607722
  69. volume_ema_diff - -0.350147
  70. volume_ema1 - 68999.182250758
  71. volume_ema2 - 106176.64647501
  72. chop - 34.8261
  73. regime - bull_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 113294
  77. 5m_price_ema100_diff: 0.00296746
  78. 5m_price: 113630
  79. 5m_correlation_with_coin: 0.028353
  80. btc_indicators
  81. 15m_ema100: 112758
  82. 15m_price_ema100_diff: 0.0077271
  83. 15m_price: 113630
  84. 15m_correlation_with_coin: -0.015874
  85. btc_indicators
  86. 1H_ema100: 113511
  87. 1H_price_ema100_diff: 0.00104484
  88. 1H_price: 113630
  89. 1H_correlation_with_coin: -0.00553
    90. ¸

📌 Time Data

Start at Closed at Duration
24 Sep 2025
14:12:29		 24 Sep 2025
14:50:00		 37 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01615 0.01652 0.01541 2 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 0.01615
  • Stop Loss: 0.01652
  • Take Profit: 0.01541

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01652 - 0.01615 = 0.00037

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01615 - 0.01541 = 0.00074

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00074 / 0.00037 = 2

📌 Position Size

Amount Margin Quantity Leverage
350.1303 100 21679.894 3.50
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 0.00037

Taille de position = 8 / 0.00037 = 21621.62

Taille de position USD = 21621.62 x 0.01615 = 349.19

Donc, tu peux acheter 21621.62 avec un stoploss a 0.01652

Avec un position size USD de 349.19$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 21621.62 x 0.00037 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 21621.62 x 0.00074 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 21621.62
  • Taille de position USD 349.19
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
4.58 % 16.04 $
SL % Target SL $ Target
2.29 % 8.02 $
PNL PNL %
-8.02 $ -2.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.4149 % 105.41 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01541
            [entry_price] => 0.01615
            [stop_loss] => 0.016557
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-24 14:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01541
            [entry_price] => 0.01615
            [stop_loss] => 0.016594
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-24 14:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01541
            [entry_price] => 0.01615
            [stop_loss] => 0.016631
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-24 14:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01541
            [entry_price] => 0.01615
            [stop_loss] => 0.016705
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-24 15:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00089
            [max_drawdown] => 0.00101
            [rr_ratio] => 0.88
            [high] => 0.01716000
            [low] => 0.01526000
            [mfe_pct] => 5.51
            [mae_pct] => 6.25
            [mfe_mae_ratio] => 0.88
            [candles_analyzed] => 24
            [start_at] => 2025-09-24T14:12:29-04:00
            [end_at] => 2025-09-24T16:12:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00089
            [max_drawdown] => 0.00563
            [rr_ratio] => 0.16
            [high] => 0.02178000
            [low] => 0.01526000
            [mfe_pct] => 5.51
            [mae_pct] => 34.86
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 84
            [start_at] => 2025-09-24T14:12:29-04:00
            [end_at] => 2025-09-24T21:12:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01628000
            [high_after] => 0.02178000
            [low_before] => 0.01454000
            [low_after] => 0.01526000
            [is_new_high] => 
            [is_new_low] => 
        )

)