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Short Trade on NEO

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Short Trade on NEO 29 Aug 2025 at 17:43:39

Take profit at 6.6341 (0.75 %) and Stop Loss at 6.7173 (0.5 %)

Short Trade on NEO

The 29 Aug 2025 at 17:43:39

With 240.43 NEO at 6.684$ per unit.

Position size of 1607.0338 $

Take profit at 6.6341 (0.75 %) and Stop Loss at 6.7173 (0.5 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 2.79
Prediction Score: 3.1464
Prediction 1 Probability
Weak Trade
0.98
Prediction 2 Probability
1 0.49
Prediction 3 Probability
0 0.89
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : bear_low
BTC Correlation Score

5m : 0.666607

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.02218248282
Details
  1. score: 1.17
  2. 1H
  3. ema9 : 6.65885
  4. ema21 : 6.75014
  5. ema50 : 6.88579
  6. ema100 : 7.01411
  7. price_ema9_diff : 0.00377641
  8. ema9_ema21_diff : -0.0135251
  9. ema21_ema50_diff : -0.0196989
  10. price_ema100_diff : -0.0470637
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.422667
  14. adx : 0.166808
  15. kc_percentage : 0.356029
  16. kc_width_percentage : 0.0614875
  17. volume_ema_diff : 0.518129
  18. volume_ema1 : 683077.61979959
  19. volume_ema2 : 449946.72547482
    20. ¸
  20. 15m
  21. ema9 : 6.61887
  22. ema21 : 6.62602
  23. ema50 : 6.68655
  24. ema100 : 6.77796
  25. price_ema9_diff : 0.009839
  26. ema9_ema21_diff : -0.00107834
  27. ema21_ema50_diff : -0.00905346
  28. price_ema100_diff : -0.0138626
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.534508
  32. adx : 0.236008
  33. kc_percentage : 0.863916
  34. kc_width_percentage : 0.0244531
  35. volume_ema_diff : -0.0707177
  36. volume_ema1 : 136636.82997695
  37. volume_ema2 : 147034.79533678
    38. ¸
  38. 5m
  39. ema9 : 6.64418
  40. ema21 : 6.62393
  41. ema50 : 6.622
  42. ema100 : 6.64796
  43. price_ema9_diff : 0.00599295
  44. ema9_ema21_diff : 0.00305655
  45. ema21_ema50_diff : 0.000291109
  46. price_ema100_diff : 0.00541995
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.672763
  50. adx : 0.178459
  51. kc_percentage : 1.16663
  52. kc_width_percentage : 0.013283
  53. volume_ema_diff : -0.52054
  54. volume_ema1 : 28161.885256804
  55. volume_ema2 : 58736.788762096
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    108506
  59. 5m_price_ema100_diff: 
    -0.00182643
  60. 5m_price: 
    108308
  61. 5m_correlation_with_coin: 
    0.666607
  62. btc_indicators
  63. 15m_ema100: 
    109723
  64. 15m_price_ema100_diff: 
    -0.0141927
  65. 15m_price: 
    108166
  66. btc_indicators
  67. 1H_ema100: 
    111057
  68. 1H_price_ema100_diff: 
    -0.0247512
  69. 1H_price: 
    108308
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Aug 2025
17:43:39		 29 Aug 2025
20:00:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.684 6.7173 6.6341 1.5 2.718
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 6.684
  • Stop Loss: 6.7173
  • Take Profit: 6.6341

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 6.7173 - 6.684 = 0.0333

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.684 - 6.6341 = 0.0499

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0499 / 0.0333 = 1.4985

📌 Position Size

Amount Margin Quantity Leverage
1607.0338 100 240.43 16.07
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 0.0333

Taille de position = 8 / 0.0333 = 240.24

Taille de position USD = 240.24 x 6.684 = 1605.76

Donc, tu peux acheter 240.24 avec un stoploss a 6.7173

Avec un position size USD de 1605.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 240.24 x 0.0333 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 240.24 x 0.0499 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position 240.24
  • Taille de position USD 1605.76
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4985

📌 Peformances

TP % Target TP $ Target
0.75 % 12 $
SL % Target SL $ Target
0.5 % 8.01 $
PNL PNL %
12 $ 0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2244 % 45.04 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 6.6174
            [stop_loss] => 6.7173
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 20:35:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 6.60075
            [stop_loss] => 6.7173
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 20:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 6.5841
            [stop_loss] => 6.7173
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 20:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 6.56745
            [stop_loss] => 6.7173
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 20:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 6.5508
            [stop_loss] => 6.7173
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 20:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 6.53415
            [stop_loss] => 6.7173
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 20:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 6.5175
            [stop_loss] => 6.7173
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 20:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 6.50085
            [stop_loss] => 6.7173
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 20:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 6.4842
            [stop_loss] => 6.7173
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 20:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 6.46755
            [stop_loss] => 6.7173
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-29 20:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 6.4509
            [stop_loss] => 6.7173
            [rr_ratio] => 7
            [closed_at] => 2025-08-29 20:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.037
            [max_drawdown] => 0.011
            [rr_ratio] => 3.36
            [high] => 6.69500000
            [low] => 6.64700000
            [mfe_pct] => 0.55
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 3.36
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T17:43:39-04:00
            [end_at] => 2025-08-29T19:43:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.053
            [max_drawdown] => 0.321
            [rr_ratio] => 0.17
            [high] => 7.00500000
            [low] => 6.63100000
            [mfe_pct] => 0.79
            [mae_pct] => 4.8
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T17:43:39-04:00
            [end_at] => 2025-08-30T00:43:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.69200000
            [high_after] => 7.00500000
            [low_before] => 6.54600000
            [low_after] => 6.63100000
            [is_new_high] => 
            [is_new_low] => 
        )

)