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Short Trade on NEIROETH

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Short Trade on NEIROETH 01 Sep 2025 at 16:07:17

Take profit at 0.07507 (0.79 %) and Stop Loss at 0.07607 (0.53 %)

Short Trade on NEIROETH

The 01 Sep 2025 at 16:07:17

With 20033.7167 NEIROETH at 0.07567$ per unit.

Position size of 1515.9513 $

Take profit at 0.07507 (0.79 %) and Stop Loss at 0.07607 (0.53 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 60
ML Pullback Score: 4.19
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.76
Prediction 2 Probability
0 0.62
Prediction 3 Probability
0 0.82
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low
BTC Correlation Score

5m : 0.380348

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0002662178667
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.075783
  4. ema21 : 0.0775534
  5. ema50 : 0.0822234
  6. ema100 : 0.0872552
  7. price_ema9_diff : -0.00149169
  8. ema9_ema21_diff : -0.0228276
  9. ema21_ema50_diff : -0.0567973
  10. price_ema100_diff : -0.132774
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.309233
  14. adx : 0.519687
  15. kc_percentage : 0.177071
  16. kc_width_percentage : 0.0700599
  17. volume_ema_diff : -0.728962
  18. volume_ema1 : 74198.590611964
  19. volume_ema2 : 273757.98356832
    20. ¸
  20. 15m
  21. ema9 : 0.0751613
  22. ema21 : 0.075327
  23. ema50 : 0.0761776
  24. ema100 : 0.0773371
  25. price_ema9_diff : 0.00676721
  26. ema9_ema21_diff : -0.00219927
  27. ema21_ema50_diff : -0.0111664
  28. price_ema100_diff : -0.0215567
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.522497
  32. adx : 0.28374
  33. kc_percentage : 0.67025
  34. kc_width_percentage : 0.0286648
  35. volume_ema_diff : -0.653857
  36. volume_ema1 : 15506.420660183
  37. volume_ema2 : 44797.821753705
    38. ¸
  38. 5m
  39. ema9 : 0.0753458
  40. ema21 : 0.0751338
  41. ema50 : 0.0751756
  42. ema100 : 0.0755423
  43. price_ema9_diff : 0.00430241
  44. ema9_ema21_diff : 0.00282127
  45. ema21_ema50_diff : -0.00055646
  46. price_ema100_diff : 0.00169022
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.646478
  50. adx : 0.222771
  51. kc_percentage : 1.0077
  52. kc_width_percentage : 0.0137188
  53. volume_ema_diff : -0.431196
  54. volume_ema1 : 4427.7052423019
  55. volume_ema2 : 7784.2410587372
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    108954
  59. 5m_price_ema100_diff: 
    0.000812752
  60. 5m_price: 
    109043
  61. 5m_correlation_with_coin: 
    0.380348
  62. btc_indicators
  63. 15m_ema100: 
    108782
  64. 15m_price_ema100_diff: 
    0.00240216
  65. 15m_price: 
    109043
  66. btc_indicators
  67. 1H_ema100: 
    109319
  68. 1H_price_ema100_diff: 
    -0.00252341
  69. 1H_price: 
    109043
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
16:07:17		 01 Sep 2025
16:35:00		 27 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07567 0.07607 0.07507 1.5 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 0.07567
  • Stop Loss: 0.07607
  • Take Profit: 0.07507

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07607 - 0.07567 = 0.0004

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07567 - 0.07507 = 0.0006

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0006 / 0.0004 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1515.9513 100 20033.7167 15.16
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 0.0004

Taille de position = 8 / 0.0004 = 20000

Taille de position USD = 20000 x 0.07567 = 1513.4

Donc, tu peux acheter 20000 avec un stoploss a 0.07607

Avec un position size USD de 1513.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.0004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.0006 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 20000
  • Taille de position USD 1513.4
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.79 % 12.02 $
SL % Target SL $ Target
0.53 % 8.01 $
PNL PNL %
12.02 $ 0.79
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2114 % 39.99 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.07487
            [stop_loss] => 0.07607
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.07467
            [stop_loss] => 0.07607
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.07447
            [stop_loss] => 0.07607
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 16:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.07427
            [stop_loss] => 0.07607
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 19:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.07407
            [stop_loss] => 0.07607
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 19:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.07387
            [stop_loss] => 0.07607
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 19:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.07367
            [stop_loss] => 0.07607
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 19:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.07347
            [stop_loss] => 0.07607
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 19:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.07327
            [stop_loss] => 0.07607
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 19:00:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.07307
            [stop_loss] => 0.07607
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 19:00:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.07287
            [stop_loss] => 0.07607
            [rr_ratio] => 7
            [closed_at] => 2025-09-01 19:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0013
            [max_drawdown] => 0.00015999999999999
            [rr_ratio] => 8.13
            [high] => 0.07583000
            [low] => 0.07437000
            [mfe_pct] => 1.72
            [mae_pct] => 0.21
            [mfe_mae_ratio] => 8.13
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T16:07:17-04:00
            [end_at] => 2025-09-01T18:07:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0013
            [max_drawdown] => 0.004
            [rr_ratio] => 0.32
            [high] => 0.07967000
            [low] => 0.07437000
            [mfe_pct] => 1.72
            [mae_pct] => 5.29
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T16:07:17-04:00
            [end_at] => 2025-09-01T23:07:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07573000
            [high_after] => 0.07917000
            [low_before] => 0.07412000
            [low_after] => 0.07437000
            [is_new_high] => 
            [is_new_low] => 
        )

)