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Short Trade on NEO

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Short Trade on NEO 22 Sep 2025 at 17:05:44

Take profit at 5.9334 (0.66 %) and Stop Loss at 5.9928 (0.33 %)

Short Trade on NEO

The 22 Sep 2025 at 17:05:44

With 403.7914 NEO at 5.973$ per unit.

Position size of 2411.8463 $

Take profit at 5.9334 (0.66 %) and Stop Loss at 5.9928 (0.33 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.95
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
2 0.47
Prediction 3 Probability
0 0.56
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.628464

15m : -0.128762

1H : 0.055106

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.01320813845
Details
  1. score: 1.2
  2. 1H
  3. ema9 : 5.95473
  4. ema21 : 6.05267
  5. ema50 : 6.25646
  6. ema100 : 6.43682
  7. price_ema9_diff : 0.00306737
  8. ema9_ema21_diff : -0.016182
  9. ema21_ema50_diff : -0.0325718
  10. price_ema100_diff : -0.0720576
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.238827
  14. ema_slope_21 : -0.308955
  15. ema_slope_50 : -0.24722
  16. ema_slope_100 : -0.168507
  17. rsi : 0.358963
  18. adx : 0.721702
  19. kc_percentage : 0.237612
  20. kc_width_percentage : 0.0450968
  21. volume_ema_diff : -0.493736
  22. volume_ema1 : 68185.470750514
  23. volume_ema2 : 134683.76276499
  24. chop : 72.5694
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 5.93722
  28. ema21 : 5.93196
  29. ema50 : 5.97892
  30. ema100 : 6.09078
  31. price_ema9_diff : 0.00602619
  32. ema9_ema21_diff : 0.000886504
  33. ema21_ema50_diff : -0.00785476
  34. price_ema100_diff : -0.0193388
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0280828
  38. ema_slope_21 : -0.00603133
  39. ema_slope_50 : -0.0447283
  40. ema_slope_100 : -0.0609131
  41. rsi : 0.597089
  42. adx : 0.338827
  43. kc_percentage : 0.89903
  44. kc_width_percentage : 0.017418
  45. volume_ema_diff : -0.708511
  46. volume_ema1 : 9941.8941547957
  47. volume_ema2 : 34107.31189634
  48. chop : 48.4492
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 5.95539
  52. ema21 : 5.93694
  53. ema50 : 5.92754
  54. ema100 : 5.93162
  55. price_ema9_diff : 0.00295647
  56. ema9_ema21_diff : 0.00310658
  57. ema21_ema50_diff : 0.00158588
  58. price_ema100_diff : 0.00697534
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0830308
  62. ema_slope_21 : 0.0457944
  63. ema_slope_50 : 0.0177981
  64. ema_slope_100 : 0.00567191
  65. rsi : 0.730126
  66. adx : 0.273062
  67. kc_percentage : 1.19866
  68. kc_width_percentage : 0.00841416
  69. volume_ema_diff : -0.722696
  70. volume_ema1 : 1903.9048160773
  71. volume_ema2 : 6865.7869150971
  72. chop : 29.5434
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112530
  77. 5m_price_ema100_diff: 
    0.00168554
  78. 5m_price: 
    112719
  79. 5m_correlation_with_coin: 
    0.628464
  80. btc_indicators
  81. 15m_ema100: 
    113312
  82. 15m_price_ema100_diff: 
    -0.00523338
  83. 15m_price: 
    112719
  84. 15m_correlation_with_coin: 
    -0.128762
  85. btc_indicators
  86. 1H_ema100: 
    115033
  87. 1H_price_ema100_diff: 
    -0.0201119
  88. 1H_price: 
    112719
  89. 1H_correlation_with_coin: 
    0.055106
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
17:05:44		 22 Sep 2025
17:25:00		 19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.973 5.9928 5.9334 2 2.762
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 5.973
  • Stop Loss: 5.9928
  • Take Profit: 5.9334

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.9928 - 5.973 = 0.0198

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.973 - 5.9334 = 0.0396

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0396 / 0.0198 = 2

📌 Position Size

Amount Margin Quantity Leverage
2411.8463 100 403.7914 24.12
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 0.0198

Taille de position = 8 / 0.0198 = 404.04

Taille de position USD = 404.04 x 5.973 = 2413.33

Donc, tu peux acheter 404.04 avec un stoploss a 5.9928

Avec un position size USD de 2413.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 404.04 x 0.0198 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 404.04 x 0.0396 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 404.04
  • Taille de position USD 2413.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.66 % 15.99 $
SL % Target SL $ Target
0.33 % 8 $
PNL PNL %
-8 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3516 % 106.06 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 5.9334
            [entry_price] => 5.973
            [stop_loss] => 5.99478
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 5.9334
            [entry_price] => 5.973
            [stop_loss] => 5.99676
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 5.9334
            [entry_price] => 5.973
            [stop_loss] => 5.99874
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 5.9334
            [entry_price] => 5.973
            [stop_loss] => 6.0027
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0089999999999995
            [max_drawdown] => 0.035
            [rr_ratio] => 0.26
            [high] => 6.00800000
            [low] => 5.96400000
            [mfe_pct] => 0.15
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T17:05:44-04:00
            [end_at] => 2025-09-22T19:05:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.128
            [max_drawdown] => 0.044
            [rr_ratio] => 2.91
            [high] => 6.01700000
            [low] => 5.84500000
            [mfe_pct] => 2.14
            [mae_pct] => 0.74
            [mfe_mae_ratio] => 2.91
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T17:05:44-04:00
            [end_at] => 2025-09-23T00:05:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.97900000
            [high_after] => 6.01700000
            [low_before] => 5.86700000
            [low_after] => 5.84500000
            [is_new_high] => 
            [is_new_low] => 1
        )

)