Web3Way Logo

Short Trade on NEIROETH

Short Trade on NEIROETH

The 24 Sep 2025 at 13:47:10

With 21752.8611 NEIROETH at 0.01578$ per unit.

Position size of 343.2601 $

Take profit at 0.01504 (4.69 %) and Stop Loss at 0.01615 (2.34 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.17
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
1 0.5
Prediction 3 Probability
0 0.72
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_confirmed
BTC Correlation Score

5m : 0.073174

15m : 0.128691

1H : -0.161161

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0002451784757
Details
  1. score: 1.06
  2. 1H
  3. ema9 - 0.015454
  4. ema21 - 0.0161462
  5. ema50 - 0.0200517
  6. ema100 - 0.0264251
  7. price_ema9_diff - 0.02109
  8. ema9_ema21_diff - -0.0428683
  9. ema21_ema50_diff - -0.19477
  10. price_ema100_diff - -0.40284
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.377327
  14. ema_slope_21 - -0.745059
  15. ema_slope_50 - -1.04189
  16. ema_slope_100 - -0.847275
  17. rsi - 0.444781
  18. adx - 0.213433
  19. kc_percentage - 0.44947
  20. kc_width_percentage - 0.348126
  21. volume_ema_diff - -0.363057
  22. volume_ema1 - 1392130.5440418
  23. volume_ema2 - 2185644.9894784
  24. chop - 71.8263
  25. regime - bear_high
    26. ¸
  26. 15m
  27. ema9 - 0.0153486
  28. ema21 - 0.0153076
  29. ema50 - 0.0154458
  30. ema100 - 0.015792
  31. price_ema9_diff - 0.0281008
  32. ema9_ema21_diff - 0.00267865
  33. ema21_ema50_diff - -0.00894381
  34. price_ema100_diff - -0.000763918
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0276965
  38. ema_slope_21 - -0.0662002
  39. ema_slope_50 - -0.0775164
  40. ema_slope_100 - -0.0842714
  41. rsi - 0.567349
  42. adx - 0.182436
  43. kc_percentage - 0.739275
  44. kc_width_percentage - 0.1255
  45. volume_ema_diff - -0.418843
  46. volume_ema1 - 266271.31957842
  47. volume_ema2 - 458175.14629912
  48. chop - 65.9579
  49. regime - bull_high
    50. ¸
  50. 5m
  51. ema9 - 0.0153944
  52. ema21 - 0.0152272
  53. ema50 - 0.015208
  54. ema100 - 0.0151499
  55. price_ema9_diff - 0.0250417
  56. ema9_ema21_diff - 0.0109839
  57. ema21_ema50_diff - 0.00126067
  58. price_ema100_diff - 0.0415858
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.215465
  62. ema_slope_21 - 0.102845
  63. ema_slope_50 - 0.0197425
  64. ema_slope_100 - 0.0149009
  65. rsi - 0.674034
  66. adx - 0.204269
  67. kc_percentage - 1.05716
  68. kc_width_percentage - 0.0621655
  69. volume_ema_diff - 0.491289
  70. volume_ema1 - 170207.97767022
  71. volume_ema2 - 114134.76846204
  72. chop - 31.3584
  73. regime - bull_high_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 113244
  77. 5m_price_ema100_diff: 0.0041603
  78. 5m_price: 113715
  79. 5m_correlation_with_coin: 0.073174
  80. btc_indicators
  81. 15m_ema100: 112766
  82. 15m_price_ema100_diff: 0.00841349
  83. 15m_price: 113715
  84. 15m_correlation_with_coin: 0.128691
  85. btc_indicators
  86. 1H_ema100: 113505
  87. 1H_price_ema100_diff: 0.00184857
  88. 1H_price: 113715
  89. 1H_correlation_with_coin: -0.161161
    90. ¸

📌 Time Data

Start at Closed at Duration
24 Sep 2025
13:47:10		 24 Sep 2025
14:00:00		 12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01578 0.01615 0.01504 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 0.01578
  • Stop Loss: 0.01615
  • Take Profit: 0.01504

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01615 - 0.01578 = 0.00037

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01578 - 0.01504 = 0.00074

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00074 / 0.00037 = 2

📌 Position Size

Amount Margin Quantity Leverage
343.2601 100 21752.8611 3.43
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 0.01578 = 341.19

Donc, tu peux acheter 21621.62 avec un stoploss a 0.01615

Avec un position size USD de 341.19$

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 341.19
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
4.69 % 16.1 $
SL % Target SL $ Target
2.34 % 8.05 $
PNL PNL %
-8.05 $ -2.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.6616 % 113.52 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01504
            [entry_price] => 0.01578
            [stop_loss] => 0.016187
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-24 14:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01504
            [entry_price] => 0.01578
            [stop_loss] => 0.016224
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-24 14:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01504
            [entry_price] => 0.01578
            [stop_loss] => 0.016261
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-24 14:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01504
            [entry_price] => 0.01578
            [stop_loss] => 0.016335
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-24 14:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00019
            [max_drawdown] => 0.00138
            [rr_ratio] => 0.14
            [high] => 0.01716000
            [low] => 0.01559000
            [mfe_pct] => 1.2
            [mae_pct] => 8.75
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 24
            [start_at] => 2025-09-24T13:47:10-04:00
            [end_at] => 2025-09-24T15:47:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00052
            [max_drawdown] => 0.006
            [rr_ratio] => 0.09
            [high] => 0.02178000
            [low] => 0.01526000
            [mfe_pct] => 3.3
            [mae_pct] => 38.02
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 84
            [start_at] => 2025-09-24T13:47:10-04:00
            [end_at] => 2025-09-24T20:47:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01622000
            [high_after] => 0.02178000
            [low_before] => 0.01402000
            [low_after] => 0.01526000
            [is_new_high] => 
            [is_new_low] => 
        )

)