Short Trade on NEIROETH 13 Sep 2025 at 19:03:34

Take profit at 0.05273 (1.73 %) and Stop Loss at 0.05413 (0.88 %)

Short Trade on NEIROETH

The 13 Sep 2025 at 19:03:34

With 17141.1334 NEIROETH at 0.05366$ per unit.

Position size of 919.7932 $

Take profit at 0.05273 (1.73 %) and Stop Loss at 0.05413 (0.88 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 6.31
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.57
Prediction 2 Probability
0 0.49
Prediction 3 Probability
1 0.56
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.174521

15m : 0.060928

1H : -0.166126

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0003111423975
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.0539158
  4. ema21 : 0.0562884
  5. ema50 : 0.0581681
  6. ema100 : 0.0586581
  7. price_ema9_diff : -0.0047453
  8. ema9_ema21_diff : -0.0421501
  9. ema21_ema50_diff : -0.0323155
  10. price_ema100_diff : -0.0852086
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -1.11105
  14. ema_slope_21 : -0.733193
  15. ema_slope_50 : -0.346936
  16. ema_slope_100 : -0.168314
  17. rsi : 0.333295
  18. adx : 0.404322
  19. kc_percentage : 0.112909
  20. kc_width_percentage : 0.119659
  21. volume_ema_diff : -0.272822
  22. volume_ema1 : 549957.1124694
  23. volume_ema2 : 756290.02774048
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.0530302
  28. ema21 : 0.0529758
  29. ema50 : 0.054877
  30. ema100 : 0.0572073
  31. price_ema9_diff : 0.0118746
  32. ema9_ema21_diff : 0.00102719
  33. ema21_ema50_diff : -0.0346446
  34. price_ema100_diff : -0.0620078
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.205714
  38. ema_slope_21 : -0.0176607
  39. ema_slope_50 : -0.187799
  40. ema_slope_100 : -0.171081
  41. rsi : 0.542952
  42. adx : 0.407821
  43. kc_percentage : 0.779612
  44. kc_width_percentage : 0.0480549
  45. volume_ema_diff : -0.678657
  46. volume_ema1 : 80849.849789884
  47. volume_ema2 : 251599.94934201
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.0533124
  52. ema21 : 0.0529916
  53. ema50 : 0.052713
  54. ema100 : 0.0532676
  55. price_ema9_diff : 0.00651926
  56. ema9_ema21_diff : 0.00605399
  57. ema21_ema50_diff : 0.00528395
  58. price_ema100_diff : 0.00736645
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0734021
  62. ema_slope_21 : 0.0810417
  63. ema_slope_50 : 0.0451331
  64. ema_slope_100 : -0.00485163
  65. rsi : 0.69254
  66. adx : 0.452432
  67. kc_percentage : 1.04384
  68. kc_width_percentage : 0.0221174
  69. volume_ema_diff : -0.454789
  70. volume_ema1 : 34064.33626129
  71. volume_ema2 : 62479.25114108
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115730
  77. 5m_price_ema100_diff:
    0.000997528
  78. 5m_price:
    115845
  79. 5m_correlation_with_coin:
    0.174521
  80. btc_indicators
  81. 15m_ema100:
    115802
  82. 15m_price_ema100_diff:
    0.000376833
  83. 15m_price:
    115845
  84. 15m_correlation_with_coin:
    0.060928
  85. btc_indicators
  86. 1H_ema100:
    114599
  87. 1H_price_ema100_diff:
    0.0108744
  88. 1H_price:
    115845
  89. 1H_correlation_with_coin:
    -0.166126
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Sep 2025
19:03:34
13 Sep 2025
19:25:00
21 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05366 0.05413 0.05273 1.98 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 0.05366
  • Stop Loss: 0.05413
  • Take Profit: 0.05273

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05413 - 0.05366 = 0.00047

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05366 - 0.05273 = 0.00093

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00093 / 0.00047 = 1.9787

📌 Position Size

Amount Margin Quantity Leverage
919.7932 100 17141.1334 9.20
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 0.00047

Taille de position = 8 / 0.00047 = 17021.28

Taille de position USD = 17021.28 x 0.05366 = 913.36

Donc, tu peux acheter 17021.28 avec un stoploss a 0.05413

Avec un position size USD de 913.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 17021.28 x 0.00047 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 17021.28 x 0.00093 = 15.83

Si Take Profit atteint, tu gagneras 15.83$

Résumé

  • Taille de position 17021.28
  • Taille de position USD 913.36
  • Perte potentielle 8
  • Gain potentiel 15.83
  • Risk-Reward Ratio 1.9787

📌 Peformances

TP % Target TP $ Target
1.73 % 15.94 $
SL % Target SL $ Target
0.88 % 8.06 $
PNL PNL %
-8.06 $ -0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0995 % 125.53 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05273
            [entry_price] => 0.05366
            [stop_loss] => 0.054177
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-13 19:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05273
            [entry_price] => 0.05366
            [stop_loss] => 0.054224
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-13 19:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05273
            [entry_price] => 0.05366
            [stop_loss] => 0.054271
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-13 19:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05273
            [entry_price] => 0.05366
            [stop_loss] => 0.054365
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-13 19:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00136
            [max_drawdown] => 0.00071
            [rr_ratio] => 1.92
            [high] => 0.05437000
            [low] => 0.05230000
            [mfe_pct] => 2.53
            [mae_pct] => 1.32
            [mfe_mae_ratio] => 1.92
            [candles_analyzed] => 24
            [start_at] => 2025-09-13T19:03:34-04:00
            [end_at] => 2025-09-13T21:03:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00328
            [max_drawdown] => 0.00071
            [rr_ratio] => 4.62
            [high] => 0.05437000
            [low] => 0.05038000
            [mfe_pct] => 6.11
            [mae_pct] => 1.32
            [mfe_mae_ratio] => 4.62
            [candles_analyzed] => 84
            [start_at] => 2025-09-13T19:03:34-04:00
            [end_at] => 2025-09-14T02:03:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05386000
            [high_after] => 0.05437000
            [low_before] => 0.05108000
            [low_after] => 0.05038000
            [is_new_high] => 
            [is_new_low] => 1
        )

)