Short Trade on NEO 04 Sep 2025 at 18:30:49

Take profit at 6.4054 (0.48 %) and Stop Loss at 6.4513 (0.24 %)

Short Trade on NEO

The 04 Sep 2025 at 18:30:49

With 523.1659 NEO at 6.436$ per unit.

Position size of 3367.0956 $

Take profit at 6.4054 (0.48 %) and Stop Loss at 6.4513 (0.24 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.05
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.76
Prediction 2 Probability
0 0.74
Prediction 3 Probability
0 0.73
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.641949

15m : -0.174988

1H : 0.083711

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.01019434472
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 6.40726
  4. ema21 : 6.44175
  5. ema50 : 6.4951
  6. ema100 : 6.54555
  7. price_ema9_diff : 0.00448399
  8. ema9_ema21_diff : -0.00535368
  9. ema21_ema50_diff : -0.00821281
  10. price_ema100_diff : -0.0167379
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0788001
  14. ema_slope_21 : -0.0947488
  15. ema_slope_50 : -0.0656292
  16. ema_slope_100 : -0.0454138
  17. rsi : 0.470098
  18. adx : 0.144673
  19. kc_percentage : 0.487105
  20. kc_width_percentage : 0.0351361
  21. volume_ema_diff : -0.608683
  22. volume_ema1 : 78498.541609729
  23. volume_ema2 : 200601.07396105
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 6.41292
  28. ema21 : 6.39812
  29. ema50 : 6.41455
  30. ema100 : 6.45813
  31. price_ema9_diff : 0.00359836
  32. ema9_ema21_diff : 0.00231262
  33. ema21_ema50_diff : -0.00256152
  34. price_ema100_diff : -0.00342695
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0800387
  38. ema_slope_21 : 0.0257428
  39. ema_slope_50 : -0.00984801
  40. ema_slope_100 : -0.0201805
  41. rsi : 0.600419
  42. adx : 0.195543
  43. kc_percentage : 0.902448
  44. kc_width_percentage : 0.014537
  45. volume_ema_diff : -0.723724
  46. volume_ema1 : 10515.274959149
  47. volume_ema2 : 38060.821553313
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 6.42597
  52. ema21 : 6.41168
  53. ema50 : 6.39472
  54. ema100 : 6.3955
  55. price_ema9_diff : 0.00156075
  56. ema9_ema21_diff : 0.00222789
  57. ema21_ema50_diff : 0.00265302
  58. price_ema100_diff : 0.00633116
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0450141
  62. ema_slope_21 : 0.0398655
  63. ema_slope_50 : 0.0241728
  64. ema_slope_100 : 0.0101838
  65. rsi : 0.671686
  66. adx : 0.338228
  67. kc_percentage : 1.10563
  68. kc_width_percentage : 0.00596374
  69. volume_ema_diff : -0.742035
  70. volume_ema1 : 1772.9986134999
  71. volume_ema2 : 6873.0461901923
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    110073
  77. 5m_price_ema100_diff:
    0.006222
  78. 5m_price:
    110758
  79. 5m_correlation_with_coin:
    0.641949
  80. btc_indicators
  81. 15m_ema100:
    110603
  82. 15m_price_ema100_diff:
    0.00140432
  83. 15m_price:
    110758
  84. 15m_correlation_with_coin:
    -0.174988
  85. btc_indicators
  86. 1H_ema100:
    110321
  87. 1H_price_ema100_diff:
    0.00396481
  88. 1H_price:
    110758
  89. 1H_correlation_with_coin:
    0.083711
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
18:30:49
04 Sep 2025
18:55:00
24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.436 6.4513 6.4054 2 2.605
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 6.436
  • Stop Loss: 6.4513
  • Take Profit: 6.4054

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 6.4513 - 6.436 = 0.0153

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.436 - 6.4054 = 0.0306

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0306 / 0.0153 = 2

📌 Position Size

Amount Margin Quantity Leverage
3367.0956 100 523.1659 33.67
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 0.0153

Taille de position = 8 / 0.0153 = 522.88

Taille de position USD = 522.88 x 6.436 = 3365.26

Donc, tu peux acheter 522.88 avec un stoploss a 6.4513

Avec un position size USD de 3365.26$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 522.88 x 0.0153 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 522.88 x 0.0306 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 522.88
  • Taille de position USD 3365.26
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.48 % 16.01 $
SL % Target SL $ Target
0.24 % 8 $
PNL PNL %
-8 $ -0.24
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6992 % 294.15 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 6.4054
            [entry_price] => 6.436
            [stop_loss] => 6.45283
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 6.4054
            [entry_price] => 6.436
            [stop_loss] => 6.45436
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 6.4054
            [entry_price] => 6.436
            [stop_loss] => 6.45589
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 6.4054
            [entry_price] => 6.436
            [stop_loss] => 6.45895
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.028
            [max_drawdown] => 0.046
            [rr_ratio] => 0.61
            [high] => 6.48200000
            [low] => 6.40800000
            [mfe_pct] => 0.44
            [mae_pct] => 0.71
            [mfe_mae_ratio] => 0.61
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T18:30:49-04:00
            [end_at] => 2025-09-04T20:30:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.05
            [max_drawdown] => 0.053
            [rr_ratio] => 0.94
            [high] => 6.48900000
            [low] => 6.38600000
            [mfe_pct] => 0.78
            [mae_pct] => 0.82
            [mfe_mae_ratio] => 0.94
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T18:30:49-04:00
            [end_at] => 2025-09-05T01:30:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.44700000
            [high_after] => 6.48700000
            [low_before] => 6.31700000
            [low_after] => 6.38600000
            [is_new_high] => 
            [is_new_low] => 
        )

)