Short Trade on NEO 11 Oct 2025 at 04:51:39

Take profit at 4.553 (2.11 %) and Stop Loss at 4.7 (1.05 %)

Short Trade on NEO

The 11 Oct 2025 at 04:51:39

With 163.3327 NEO at 4.651$ per unit.

Position size of 759.6603 $

Take profit at 4.553 (2.11 %) and Stop Loss at 4.7 (1.05 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.59
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
1 0.57
Prediction 3 Probability
0 0.75
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.679389

15m : -0.100882

1H : -0.051589

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.03265319348
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 4.60947
  4. ema21 : 4.98116
  5. ema50 : 5.48434
  6. ema100 : 5.79558
  7. price_ema9_diff : 0.00900815
  8. ema9_ema21_diff : -0.0746182
  9. ema21_ema50_diff : -0.0917489
  10. price_ema100_diff : -0.197492
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -1.91636
  14. ema_slope_21 : -1.50693
  15. ema_slope_50 : -0.871251
  16. ema_slope_100 : -0.498303
  17. rsi : 0.365122
  18. adx : 0.503411
  19. kc_percentage : 0.22654
  20. kc_width_percentage : 0.237275
  21. volume_ema_diff : -0.482975
  22. volume_ema1 : 160385.59737943
  23. volume_ema2 : 310209.19035726
  24. chop : 5.29789
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 4.57875
  29. ema21 : 4.54825
  30. ema50 : 4.71725
  31. ema100 : 5.09387
  32. price_ema9_diff : 0.0157782
  33. ema9_ema21_diff : 0.00670603
  34. ema21_ema50_diff : -0.0358257
  35. price_ema100_diff : -0.0869424
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.169623
  39. ema_slope_21 : 0.0730141
  40. ema_slope_50 : -0.168789
  41. ema_slope_100 : -0.231896
  42. rsi : 0.591834
  43. adx : 0.2531
  44. kc_percentage : 0.884463
  45. kc_width_percentage : 0.0575688
  46. volume_ema_diff : -0.738146
  47. volume_ema1 : 21022.631165245
  48. volume_ema2 : 80283.929595956
  49. chop : 67.1486
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 4.616
  54. ema21 : 4.57792
  55. ema50 : 4.53777
  56. ema100 : 4.49616
  57. price_ema9_diff : 0.00758079
  58. ema9_ema21_diff : 0.00831923
  59. ema21_ema50_diff : 0.00884638
  60. price_ema100_diff : 0.0344366
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.193401
  64. ema_slope_21 : 0.122006
  65. ema_slope_50 : 0.0718893
  66. ema_slope_100 : 0.0513465
  67. rsi : 0.661273
  68. adx : 0.267816
  69. kc_percentage : 1.04035
  70. kc_width_percentage : 0.0281926
  71. volume_ema_diff : -0.507046
  72. volume_ema1 : 5468.9583484898
  73. volume_ema2 : 11094.273135842
  74. chop : 34.6259
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    111709
  80. 5m_price_ema100_diff:
    -0.00261394
  81. 5m_price:
    111417
  82. 5m_correlation_with_coin:
    0.679389
  83. btc_indicators
  84. 15m_ema100:
    114986
  85. 15m_price_ema100_diff:
    -0.0310347
  86. 15m_price:
    111417
  87. 15m_correlation_with_coin:
    -0.100882
  88. btc_indicators
  89. 1H_ema100:
    119713
  90. 1H_price_ema100_diff:
    -0.0692948
  91. 1H_price:
    111417
  92. 1H_correlation_with_coin:
    -0.051589
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
04:51:39
11 Oct 2025
05:00:00
8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.651 4.7 4.553 2 2.769
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 4.651
  • Stop Loss: 4.7
  • Take Profit: 4.553

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.7 - 4.651 = 0.049

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.651 - 4.553 = 0.098

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.098 / 0.049 = 2

📌 Position Size

Amount Margin Quantity Leverage
759.6603 100 163.3327 7.60
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 0.049

Taille de position = 8 / 0.049 = 163.27

Taille de position USD = 163.27 x 4.651 = 759.37

Donc, tu peux acheter 163.27 avec un stoploss a 4.7

Avec un position size USD de 759.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 163.27 x 0.049 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 163.27 x 0.098 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 163.27
  • Taille de position USD 759.37
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.11 % 16.01 $
SL % Target SL $ Target
1.05 % 8 $
PNL PNL %
-8 $ -1.05
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.2036 % 304.09 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.553
            [entry_price] => 4.651
            [stop_loss] => 4.7049
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.553
            [entry_price] => 4.651
            [stop_loss] => 4.7098
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.553
            [entry_price] => 4.651
            [stop_loss] => 4.7147
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.553
            [entry_price] => 4.651
            [stop_loss] => 4.7245
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.016
            [max_drawdown] => 0.149
            [rr_ratio] => 0.11
            [high] => 4.80000000
            [low] => 4.63500000
            [mfe_pct] => 0.34
            [mae_pct] => 3.2
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T04:51:39-04:00
            [end_at] => 2025-10-11T06:51:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.125
            [max_drawdown] => 0.149
            [rr_ratio] => 0.84
            [high] => 4.80000000
            [low] => 4.52600000
            [mfe_pct] => 2.69
            [mae_pct] => 3.2
            [mfe_mae_ratio] => 0.84
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T04:51:39-04:00
            [end_at] => 2025-10-11T11:51:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.67700000
            [high_after] => 4.80000000
            [low_before] => 4.45000000
            [low_after] => 4.52600000
            [is_new_high] => 
            [is_new_low] => 
        )

)