Short Trade on NEO 26 Aug 2025 at 08:27:16

Take profit at 7.0555 (0.84 %) and Stop Loss at 7.1547 (0.56 %)

Short Trade on NEO

The 26 Aug 2025 at 08:27:16

With 201.5843 NEO at 7.115$ per unit.

Position size of 1434.2725 $

Take profit at 7.0555 (0.84 %) and Stop Loss at 7.1547 (0.56 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 5.33
Prediction Score: 3.5303
Prediction 1 Probability
Strong Trade
0.6
Prediction 2 Probability
1 0.5
Prediction 3 Probability
0 0.61
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.496759

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.62
  4. atr: 0.0264570829
Details
  1. score: 1.62
  2. 1H
  3. ema9 : 7.02003
  4. ema21 : 7.1476
  5. ema50 : 7.30197
  6. ema100 : 7.24861
  7. price_ema9_diff : 0.0135276
  8. ema9_ema21_diff : -0.017848
  9. ema21_ema50_diff : -0.0211401
  10. price_ema100_diff : -0.0184326
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.455275
  14. adx : 0.291239
  15. kc_percentage : 0.462527
  16. kc_width_percentage : 0.0807836
  17. volume_ema_diff : -0.791432
  18. volume_ema1 : 172219.42848249
  19. volume_ema2 : 825723.78754564
  20. ¸
  21. 15m
  22. ema9 : 6.9729
  23. ema21 : 6.97461
  24. ema50 : 7.04194
  25. ema100 : 7.21096
  26. price_ema9_diff : 0.0203782
  27. ema9_ema21_diff : -0.00024554
  28. ema21_ema50_diff : -0.00956161
  29. price_ema100_diff : -0.0133076
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.527846
  33. adx : 0.115
  34. kc_percentage : 1.34107
  35. kc_width_percentage : 0.023581
  36. volume_ema_diff : -0.734735
  37. volume_ema1 : 22059.451807772
  38. volume_ema2 : 83160.259299332
  39. ¸
  40. 5m
  41. ema9 : 7.0133
  42. ema21 : 6.98663
  43. ema50 : 6.97675
  44. ema100 : 6.97884
  45. price_ema9_diff : 0.0145001
  46. ema9_ema21_diff : 0.003818
  47. ema21_ema50_diff : 0.00141488
  48. price_ema100_diff : 0.0195102
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.755757
  52. adx : 0.216995
  53. kc_percentage : 1.62428
  54. kc_width_percentage : 0.0159274
  55. volume_ema_diff : -0.171376
  56. volume_ema1 : 13340.357724578
  57. volume_ema2 : 16099.412321891
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    110016
  62. 5m_price_ema100_diff:
    -0.00287633
  63. 5m_price:
    109700
  64. 5m_correlation_with_coin:
    0.496759
  65. btc_indicators
  66. 15m_ema100:
    110371
  67. 15m_price_ema100_diff:
    -0.00670028
  68. 15m_price:
    109632
  69. btc_indicators
  70. 1H_ema100:
    112496
  71. 1H_price_ema100_diff:
    -0.0248595
  72. 1H_price:
    109700
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
26 Aug 2025
08:27:16
26 Aug 2025
08:30:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
7.115 7.1547 7.0555 1.5 2.754
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 7.115
  • Stop Loss: 7.1547
  • Take Profit: 7.0555

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 7.1547 - 7.115 = 0.0397

  • Récompense (distance jusqu'au take profit):

    E - TP = 7.115 - 7.0555 = 0.0595

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0595 / 0.0397 = 1.4987

📌 Position Size

Amount Margin Quantity Leverage
1434.2725 100 201.5843 14.34
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 0.0397

Taille de position = 8 / 0.0397 = 201.51

Taille de position USD = 201.51 x 7.115 = 1433.74

Donc, tu peux acheter 201.51 avec un stoploss a 7.1547

Avec un position size USD de 1433.74$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 201.51 x 0.0397 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 201.51 x 0.0595 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position 201.51
  • Taille de position USD 1433.74
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4987

📌 Peformances

TP % Target TP $ Target
0.84 % 11.99 $
SL % Target SL $ Target
0.56 % 8 $
PNL PNL %
11.99 $ 0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1124 % 20.14 % 1

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 7.0356
            [stop_loss] => 7.1547
            [rr_ratio] => 2
            [closed_at] => 2025-08-26 08:35:00
            [result] => loss
        )

    [2.5] => Array
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            [take_profit] => 7.01575
            [stop_loss] => 7.1547
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-26 08:35:00
            [result] => loss
        )

    [3] => Array
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            [take_profit] => 6.9959
            [stop_loss] => 7.1547
            [rr_ratio] => 3
            [closed_at] => 2025-08-26 08:35:00
            [result] => loss
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    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-08-26 08:35:00
            [result] => loss
        )

    [4] => Array
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            [stop_loss] => 7.1547
            [rr_ratio] => 4
            [closed_at] => 2025-08-26 08:35:00
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    [4.5] => Array
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            [take_profit] => 6.93635
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            [rr_ratio] => 4.5
            [closed_at] => 2025-08-26 08:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 6.9165
            [stop_loss] => 7.1547
            [rr_ratio] => 5
            [closed_at] => 2025-08-26 08:35:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 6.89665
            [stop_loss] => 7.1547
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-26 08:35:00
            [result] => loss
        )

    [6] => Array
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            [take_profit] => 6.8768
            [stop_loss] => 7.1547
            [rr_ratio] => 6
            [closed_at] => 2025-08-26 08:35:00
            [result] => loss
        )

    [6.5] => Array
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            [stop_loss] => 7.1547
            [rr_ratio] => 6.5
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            [result] => loss
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    [7] => Array
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            [take_profit] => 6.8371
            [stop_loss] => 7.1547
            [rr_ratio] => 7
            [closed_at] => 2025-08-26 08:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
        (
            [max_gain] => 0.183
            [max_drawdown] => 0.048
            [rr_ratio] => 3.81
            [high] => 7.16300000
            [low] => 6.93200000
            [mfe_pct] => 2.57
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 3.81
            [candles_analyzed] => 24
            [start_at] => 2025-08-26T08:27:16-04:00
            [end_at] => 2025-08-26T10:27:16-04:00
        )

    [long_term] => Array
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            [max_gain] => 0.183
            [max_drawdown] => 0.048
            [rr_ratio] => 3.81
            [high] => 7.16300000
            [low] => 6.93200000
            [mfe_pct] => 2.57
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 3.81
            [candles_analyzed] => 84
            [start_at] => 2025-08-26T08:27:16-04:00
            [end_at] => 2025-08-26T15:27:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 7.14400000
            [high_after] => 7.16300000
            [low_before] => 6.91900000
            [low_after] => 6.93200000
            [is_new_high] => 
            [is_new_low] => 
        )

)