Long Trade on NEIROCTO

The 13 Sep 2025 at 03:47:50

With 4865784.1443 NEIROCTO at 0.0003978$ per unit.

Position size of 1935.6089 $

Take profit at 0.0004011 (0.83 %) and Stop Loss at 0.0003962 (0.4 %)

That's a 2.06 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -60
ML Pullback Score: 8.69
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.6
Prediction 2 Probability
0 0.53
Prediction 3 Probability
1 0.51
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : range_medium

BTC Correlation Score

5m : 0.13936

15m : 0.134578

1H : 0.080662

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 1.096089176E-6
Details
  1. score: 2.07
  2. 1H
  3. ema9 - 0.000399017
  4. ema21 - 0.000393316
  5. ema50 - 0.000384179
  6. ema100 - 0.000378683
  7. price_ema9_diff - -0.00305181
  8. ema9_ema21_diff - 0.0144959
  9. ema21_ema50_diff - 0.0237817
  10. price_ema100_diff - 0.0504822
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.303513
  14. ema_slope_21 - 0.311994
  15. ema_slope_50 - 0.214168
  16. ema_slope_100 - 0.12756
  17. rsi - 0.611668
  18. adx - 0.422786
  19. kc_percentage - 0.655457
  20. kc_width_percentage - 0.0649601
  21. volume_ema_diff - 0.0337085
  22. volume_ema1 - 469016.27628621
  23. volume_ema2 - 453721.95542737
  24. regime - bull_high
  25. ¸
  26. 15m
  27. ema9 - 0.000399875
  28. ema21 - 0.000400572
  29. ema50 - 0.000397845
  30. ema100 - 0.000392268
  31. price_ema9_diff - -0.00519011
  32. ema9_ema21_diff - -0.00173978
  33. ema21_ema50_diff - 0.00685438
  34. price_ema100_diff - 0.0141016
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.0671608
  38. ema_slope_21 - -0.0297342
  39. ema_slope_50 - 0.0275314
  40. ema_slope_100 - 0.0447246
  41. rsi - 0.436632
  42. adx - 0.203194
  43. kc_percentage - 0.229268
  44. kc_width_percentage - 0.0257808
  45. volume_ema_diff - -0.660823
  46. volume_ema1 - 49994.523413636
  47. volume_ema2 - 147399.52838962
  48. regime - bull_high
  49. ¸
  50. 5m
  51. ema9 - 0.000399429
  52. ema21 - 0.000400124
  53. ema50 - 0.000400723
  54. ema100 - 0.000400414
  55. price_ema9_diff - -0.00407882
  56. ema9_ema21_diff - -0.00173743
  57. ema21_ema50_diff - -0.00149603
  58. price_ema100_diff - -0.00652951
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - -0.0293479
  62. ema_slope_21 - -0.013945
  63. ema_slope_50 - -0.00907887
  64. ema_slope_100 - -0.001866
  65. rsi - 0.350819
  66. adx - 0.18396
  67. kc_percentage - -0.0655706
  68. kc_width_percentage - 0.0101779
  69. volume_ema_diff - -0.753859
  70. volume_ema1 - 9179.0836166163
  71. volume_ema2 - 37292.022676013
  72. regime - range_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 115814
  77. 5m_price_ema100_diff: -0.000428757
  78. 5m_price: 115765
  79. 5m_correlation_with_coin: 0.13936
  80. btc_indicators
  81. 15m_ema100: 115656
  82. 15m_price_ema100_diff: 0.000937092
  83. 15m_price: 115765
  84. 15m_correlation_with_coin: 0.134578
  85. btc_indicators
  86. 1H_ema100: 114252
  87. 1H_price_ema100_diff: 0.0132368
  88. 1H_price: 115765
  89. 1H_correlation_with_coin: 0.080662
  90. ¸

📌 Time Data

Start at Closed at Duration
13 Sep 2025
03:47:50
13 Sep 2025
03:55:00
7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0003978 0.0003962 0.0004011 2.06 0.0001189
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 0.0003978
  • Stop Loss: 0.0003962
  • Take Profit: 0.0004011

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0003962 - 0.0003978 = -1.6E-6

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0003978 - 0.0004011 = -3.3E-6

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -3.3E-6 / -1.6E-6 = 2.0625

📌 Position Size

Amount Margin Quantity Leverage
1935.6089 100 4865784.1443 19.36
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 -1.6E-6

Taille de position = 8 / -1.6E-6 = -5000000

Taille de position USD = -5000000 x 0.0003978 = -1989

Donc, tu peux acheter -5000000 avec un stoploss a 0.0003962

Avec un position size USD de -1989$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5000000 x -1.6E-6 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5000000 x -3.3E-6 = 16.5

Si Take Profit atteint, tu gagneras 16.5$

Résumé

  • Taille de position -5000000
  • Taille de position USD -1989
  • Perte potentielle 8
  • Gain potentiel 16.5
  • Risk-Reward Ratio 2.0625

📌 Peformances

TP % Target TP $ Target
0.83 % 16.06 $
SL % Target SL $ Target
0.4 % 7.79 $
PNL PNL %
-7.79 $ -0.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4022 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0004011
            [entry_price] => 0.0003978
            [stop_loss] => 0.00039604
            [rr_ratio] => 1.87
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-13 04:35:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.0004011
            [entry_price] => 0.0003978
            [stop_loss] => 0.00039588
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-13 04:35:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.0004011
            [entry_price] => 0.0003978
            [stop_loss] => 0.00039572
            [rr_ratio] => 1.59
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-13 04:35:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.0004011
            [entry_price] => 0.0003978
            [stop_loss] => 0.0003954
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-13 04:35:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.54E-5
            [max_drawdown] => 1.6E-6
            [rr_ratio] => 9.62
            [high] => 0.00041320
            [low] => 0.00039620
            [mfe_pct] => 3.87
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 9.62
            [candles_analyzed] => 24
            [start_at] => 2025-09-13T03:47:50-04:00
            [end_at] => 2025-09-13T05:47:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.75E-5
            [max_drawdown] => 3.9E-6
            [rr_ratio] => 4.49
            [high] => 0.00041530
            [low] => 0.00039390
            [mfe_pct] => 4.4
            [mae_pct] => 0.98
            [mfe_mae_ratio] => 4.49
            [candles_analyzed] => 84
            [start_at] => 2025-09-13T03:47:50-04:00
            [end_at] => 2025-09-13T10:47:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00040850
            [high_after] => 0.00041530
            [low_before] => 0.00039730
            [low_after] => 0.00039620
            [is_new_high] => 1
            [is_new_low] => 
        )

)