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Short Trade on EIGEN

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Short Trade on EIGEN 22 Sep 2025 at 03:28:43

Take profit at 1.6666 (2.74 %) and Stop Loss at 1.7371 (1.37 %)

Short Trade on EIGEN

The 22 Sep 2025 at 03:28:43

With 340.4443 EIGEN at 1.7136$ per unit.

Position size of 583.3854 $

Take profit at 1.6666 (2.74 %) and Stop Loss at 1.7371 (1.37 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.61
Prediction Score: 5
Prediction 1 Probability
Strong Trade
0.57
Prediction 2 Probability
0 0.5
Prediction 3 Probability
1 0.57
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high
BTC Correlation Score

5m : 0.721928

15m : -0.026102

1H : 0.172977

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.01566580171
Details
  1. score: 1.16
  2. 1H
  3. ema9 : 1.69487
  4. ema21 : 1.73539
  5. ema50 : 1.78976
  6. ema100 : 1.84404
  7. price_ema9_diff : 0.0110499
  8. ema9_ema21_diff : -0.023351
  9. ema21_ema50_diff : -0.0303778
  10. price_ema100_diff : -0.0707381
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.452765
  14. ema_slope_21 : -0.363566
  15. ema_slope_50 : -0.236337
  16. ema_slope_100 : -0.163959
  17. rsi : 0.423616
  18. adx : 0.325097
  19. kc_percentage : 0.387517
  20. kc_width_percentage : 0.0984704
  21. volume_ema_diff : 0.832118
  22. volume_ema1 : 2964552.1765037
  23. volume_ema2 : 1618100.3006067
  24. chop : 22.7227
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 1.66789
  28. ema21 : 1.67408
  29. ema50 : 1.70796
  30. ema100 : 1.75105
  31. price_ema9_diff : 0.0274058
  32. ema9_ema21_diff : -0.00370261
  33. ema21_ema50_diff : -0.0198342
  34. price_ema100_diff : -0.0213882
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0322558
  38. ema_slope_21 : -0.119866
  39. ema_slope_50 : -0.138223
  40. ema_slope_100 : -0.114887
  41. rsi : 0.521741
  42. adx : 0.406318
  43. kc_percentage : 0.92476
  44. kc_width_percentage : 0.0557655
  45. volume_ema_diff : 0.427269
  46. volume_ema1 : 827422.39579034
  47. volume_ema2 : 579723.94256784
  48. chop : 19.3888
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 1.6851
  52. ema21 : 1.66928
  53. ema50 : 1.66885
  54. ema100 : 1.68658
  55. price_ema9_diff : 0.0169095
  56. ema9_ema21_diff : 0.00947674
  57. ema21_ema50_diff : 0.000260095
  58. price_ema100_diff : 0.0160183
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.276729
  62. ema_slope_21 : 0.131684
  63. ema_slope_50 : 0.0272491
  64. ema_slope_100 : -0.0137627
  65. rsi : 0.68949
  66. adx : 0.263505
  67. kc_percentage : 1.15956
  68. kc_width_percentage : 0.0386406
  69. volume_ema_diff : -0.0788757
  70. volume_ema1 : 269846.99487127
  71. volume_ema2 : 292953.95417079
  72. chop : 28.7363
  73. regime : bull_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    114051
  77. 5m_price_ema100_diff: 
    -0.0116109
  78. 5m_price: 
    112727
  79. 5m_correlation_with_coin: 
    0.721928
  80. btc_indicators
  81. 15m_ema100: 
    114824
  82. 15m_price_ema100_diff: 
    -0.0197279
  83. 15m_price: 
    112559
  84. 15m_correlation_with_coin: 
    -0.026102
  85. btc_indicators
  86. 1H_ema100: 
    115776
  87. 1H_price_ema100_diff: 
    -0.0263348
  88. 1H_price: 
    112727
  89. 1H_correlation_with_coin: 
    0.172977
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
03:28:43		 22 Sep 2025
06:20:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.7136 1.7371 1.6666 2 0.1932
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 1.7136
  • Stop Loss: 1.7371
  • Take Profit: 1.6666

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.7371 - 1.7136 = 0.0235

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.7136 - 1.6666 = 0.047

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.047 / 0.0235 = 2

📌 Position Size

Amount Margin Quantity Leverage
583.3854 100 340.4443 5.83
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 0.0235

Taille de position = 8 / 0.0235 = 340.43

Taille de position USD = 340.43 x 1.7136 = 583.36

Donc, tu peux acheter 340.43 avec un stoploss a 1.7371

Avec un position size USD de 583.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 340.43 x 0.0235 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 340.43 x 0.047 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 340.43
  • Taille de position USD 583.36
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.74 % 16 $
SL % Target SL $ Target
1.37 % 8 $
PNL PNL %
-8 $ -1.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4823 % 108.09 % 14

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.6666
            [entry_price] => 1.7136
            [stop_loss] => 1.73945
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 06:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.6666
            [entry_price] => 1.7136
            [stop_loss] => 1.7418
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 06:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.6666
            [entry_price] => 1.7136
            [stop_loss] => 1.74415
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 06:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.6666
            [entry_price] => 1.7136
            [stop_loss] => 1.74885
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 06:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0311
            [max_drawdown] => 0.0101
            [rr_ratio] => 3.08
            [high] => 1.72370000
            [low] => 1.68250000
            [mfe_pct] => 1.81
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 3.08
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T03:28:43-04:00
            [end_at] => 2025-09-22T05:28:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0311
            [max_drawdown] => 0.1247
            [rr_ratio] => 0.25
            [high] => 1.83830000
            [low] => 1.68250000
            [mfe_pct] => 1.81
            [mae_pct] => 7.28
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T03:28:43-04:00
            [end_at] => 2025-09-22T10:28:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.71520000
            [high_after] => 1.81360000
            [low_before] => 1.55150000
            [low_after] => 1.68250000
            [is_new_high] => 
            [is_new_low] => 
        )

)