Web3Way Logo

Short Trade on NEO

Previous Trade Next Trade

Short Trade on NEO 11 Oct 2025 at 04:25:59

Take profit at 4.5559 (2.04 %) and Stop Loss at 4.6986 (1.02 %)

Short Trade on NEO

The 11 Oct 2025 at 04:25:59

With 168.216 NEO at 4.651$ per unit.

Position size of 782.3728 $

Take profit at 4.5559 (2.04 %) and Stop Loss at 4.6986 (1.02 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.86
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.53
Prediction 2 Probability
0 0.72
Prediction 3 Probability
1 0.5
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 : 0.149292

15m : 0.081402

1H : 0.004438

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.29
  4. atr: 0.03170526028
Details
  1. score: 1.29
  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 : -0.527327
  22. volume_ema1 : 145817.3757676
  23. volume_ema2 : 308495.28193233
  24. chop : 5.29789
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 4.54168
  28. ema21 : 4.52831
  29. ema50 : 4.72348
  30. ema100 : 5.11237
  31. price_ema9_diff : 0.0240702
  32. ema9_ema21_diff : 0.00295103
  33. ema21_ema50_diff : -0.0413177
  34. price_ema100_diff : -0.0902474
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0838051
  38. ema_slope_21 : 0.0214195
  39. ema_slope_50 : -0.206398
  40. ema_slope_100 : -0.251028
  41. rsi : 0.567657
  42. adx : 0.285373
  43. kc_percentage : 0.958806
  44. kc_width_percentage : 0.0581265
  45. volume_ema_diff : -0.740237
  46. volume_ema1 : 21994.583667945
  47. volume_ema2 : 84671.801898341
  48. chop : 77.4381
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 4.5809
  52. ema21 : 4.54761
  53. ema50 : 4.51982
  54. ema100 : 4.49275
  55. price_ema9_diff : 0.0153023
  56. ema9_ema21_diff : 0.00731893
  57. ema21_ema50_diff : 0.00614811
  58. price_ema100_diff : 0.0352221
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.119367
  62. ema_slope_21 : 0.0643483
  63. ema_slope_50 : 0.0396248
  64. ema_slope_100 : 0.0295601
  65. rsi : 0.724061
  66. adx : 0.213489
  67. kc_percentage : 1.29459
  68. kc_width_percentage : 0.0275436
  69. volume_ema_diff : -0.374726
  70. volume_ema1 : 7427.3629340911
  71. volume_ema2 : 11878.581730442
  72. chop : 32.8811
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111838
  77. 5m_price_ema100_diff: 
    -0.00944454
  78. 5m_price: 
    110782
  79. 5m_correlation_with_coin: 
    0.149292
  80. btc_indicators
  81. 15m_ema100: 
    115124
  82. 15m_price_ema100_diff: 
    -0.0390757
  83. 15m_price: 
    110626
  84. 15m_correlation_with_coin: 
    0.081402
  85. btc_indicators
  86. 1H_ema100: 
    119700
  87. 1H_price_ema100_diff: 
    -0.0745052
  88. 1H_price: 
    110782
  89. 1H_correlation_with_coin: 
    0.004438
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
04:25:59		 11 Oct 2025
05:00:00		 34 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.651 4.6986 4.5559 2 2.778
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: 4.6986
  • Take Profit: 4.5559

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.6986 - 4.651 = 0.0476

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.651 - 4.5559 = 0.0951

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0951 / 0.0476 = 1.9979

📌 Position Size

Amount Margin Quantity Leverage
782.3728 100 168.216 7.82
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 0.0476

Taille de position = 8 / 0.0476 = 168.07

Taille de position USD = 168.07 x 4.651 = 781.69

Donc, tu peux acheter 168.07 avec un stoploss a 4.6986

Avec un position size USD de 781.69$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 168.07 x 0.0476 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 168.07 x 0.0951 = 15.98

Si Take Profit atteint, tu gagneras 15.98$

Résumé

  • Taille de position 168.07
  • Taille de position USD 781.69
  • Perte potentielle 8
  • Gain potentiel 15.98
  • Risk-Reward Ratio 1.9979

📌 Peformances

TP % Target TP $ Target
2.04 % 16 $
SL % Target SL $ Target
1.02 % 8.01 $
PNL PNL %
-8.01 $ -1.02
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.2036 % 313.03 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.5559
            [entry_price] => 4.651
            [stop_loss] => 4.70336
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.5559
            [entry_price] => 4.651
            [stop_loss] => 4.70812
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.5559
            [entry_price] => 4.651
            [stop_loss] => 4.71288
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 05:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.5559
            [entry_price] => 4.651
            [stop_loss] => 4.7224
            [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] => 0.065
            [max_drawdown] => 0.149
            [rr_ratio] => 0.44
            [high] => 4.80000000
            [low] => 4.58600000
            [mfe_pct] => 1.4
            [mae_pct] => 3.2
            [mfe_mae_ratio] => 0.44
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T04:25:59-04:00
            [end_at] => 2025-10-11T06:25:59-04:00
        )

    [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] => 2025-10-11T04:25:59-04:00
            [end_at] => 2025-10-11T11:25:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.66900000
            [high_after] => 4.80000000
            [low_before] => 4.44600000
            [low_after] => 4.52600000
            [is_new_high] => 
            [is_new_low] => 
        )

)