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Short Trade on NEO

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Short Trade on NEO 22 Sep 2025 at 16:39:33

Take profit at 5.9073 (0.78 %) and Stop Loss at 5.9774 (0.39 %)

Short Trade on NEO

The 22 Sep 2025 at 16:39:33

With 342.587 NEO at 5.954$ per unit.

Position size of 2039.763 $

Take profit at 5.9073 (0.78 %) and Stop Loss at 5.9774 (0.39 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.11
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
0 0.84
Prediction 3 Probability
1 0.63
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 : range_low
BTC Correlation Score

5m : 0.607812

15m : -0.077997

1H : 0.013316

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.01556782182
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 5.94756
  4. ema21 : 6.05946
  5. ema50 : 6.26689
  6. ema100 : 6.44137
  7. price_ema9_diff : 0.0010814
  8. ema9_ema21_diff : -0.0184661
  9. ema21_ema50_diff : -0.0330997
  10. price_ema100_diff : -0.0756638
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.299165
  14. ema_slope_21 : -0.33934
  15. ema_slope_50 : -0.256584
  16. ema_slope_100 : -0.170432
  17. rsi : 0.335051
  18. adx : 0.729534
  19. kc_percentage : 0.164715
  20. kc_width_percentage : 0.048028
  21. volume_ema_diff : -0.304526
  22. volume_ema1 : 96581.489719753
  23. volume_ema2 : 138871.51059354
  24. chop : 69.9861
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 5.91839
  28. ema21 : 5.92385
  29. ema50 : 5.97966
  30. ema100 : 6.09605
  31. price_ema9_diff : 0.00601589
  32. ema9_ema21_diff : -0.000921387
  33. ema21_ema50_diff : -0.00933361
  34. price_ema100_diff : -0.0233025
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00892614
  38. ema_slope_21 : -0.0203615
  39. ema_slope_50 : -0.053556
  40. ema_slope_100 : -0.0658981
  41. rsi : 0.554827
  42. adx : 0.360399
  43. kc_percentage : 0.785092
  44. kc_width_percentage : 0.0183675
  45. volume_ema_diff : -0.613564
  46. volume_ema1 : 13997.270440476
  47. volume_ema2 : 36221.524597486
  48. chop : 57.7531
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 5.92297
  52. ema21 : 5.9149
  53. ema50 : 5.91749
  54. ema100 : 5.92771
  55. price_ema9_diff : 0.00523866
  56. ema9_ema21_diff : 0.00136316
  57. ema21_ema50_diff : -0.000436995
  58. price_ema100_diff : 0.0044344
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0164577
  62. ema_slope_21 : -0.000242151
  63. ema_slope_50 : -0.00582788
  64. ema_slope_100 : -0.00700408
  65. rsi : 0.691261
  66. adx : 0.223676
  67. kc_percentage : 1.11593
  68. kc_width_percentage : 0.0106071
  69. volume_ema_diff : -0.765274
  70. volume_ema1 : 1981.0651500646
  71. volume_ema2 : 8439.9241081852
  72. chop : 32.639
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112495
  77. 5m_price_ema100_diff: 
    0.000781593
  78. 5m_price: 
    112583
  79. 5m_correlation_with_coin: 
    0.607812
  80. btc_indicators
  81. 15m_ema100: 
    113332
  82. 15m_price_ema100_diff: 
    -0.00701843
  83. 15m_price: 
    112537
  84. 15m_correlation_with_coin: 
    -0.077997
  85. btc_indicators
  86. 1H_ema100: 
    115047
  87. 1H_price_ema100_diff: 
    -0.0214164
  88. 1H_price: 
    112583
  89. 1H_correlation_with_coin: 
    0.013316
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:39:33		 22 Sep 2025
16:55:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.954 5.9774 5.9073 2 2.799
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 5.954
  • Stop Loss: 5.9774
  • Take Profit: 5.9073

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.9774 - 5.954 = 0.023400000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.954 - 5.9073 = 0.0467

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0467 / 0.023400000000001 = 1.9957

📌 Position Size

Amount Margin Quantity Leverage
2039.763 100 342.587 20.40
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 0.023400000000001

Taille de position = 8 / 0.023400000000001 = 341.88

Taille de position USD = 341.88 x 5.954 = 2035.55

Donc, tu peux acheter 341.88 avec un stoploss a 5.9774

Avec un position size USD de 2035.55$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 341.88 x 0.023400000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 341.88 x 0.0467 = 15.97

Si Take Profit atteint, tu gagneras 15.97$

Résumé

  • Taille de position 341.88
  • Taille de position USD 2035.55
  • Perte potentielle 8
  • Gain potentiel 15.97
  • Risk-Reward Ratio 1.9957

📌 Peformances

TP % Target TP $ Target
0.78 % 16 $
SL % Target SL $ Target
0.39 % 8.02 $
PNL PNL %
-8.02 $ -0.39
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4199 % 106.84 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 5.9073
            [entry_price] => 5.954
            [stop_loss] => 5.97974
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 5.9073
            [entry_price] => 5.954
            [stop_loss] => 5.98208
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 5.9073
            [entry_price] => 5.954
            [stop_loss] => 5.98442
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 5.9073
            [entry_price] => 5.954
            [stop_loss] => 5.9891
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0049999999999999
            [max_drawdown] => 0.054
            [rr_ratio] => 0.09
            [high] => 6.00800000
            [low] => 5.94900000
            [mfe_pct] => 0.08
            [mae_pct] => 0.91
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:39:33-04:00
            [end_at] => 2025-09-22T18:39:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.109
            [max_drawdown] => 0.063000000000001
            [rr_ratio] => 1.73
            [high] => 6.01700000
            [low] => 5.84500000
            [mfe_pct] => 1.83
            [mae_pct] => 1.06
            [mfe_mae_ratio] => 1.73
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:39:33-04:00
            [end_at] => 2025-09-22T23:39:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.95900000
            [high_after] => 6.01700000
            [low_before] => 5.86700000
            [low_after] => 5.89400000
            [is_new_high] => 
            [is_new_low] => 
        )

)