Short Trade on EIGEN 15 Sep 2025 at 16:47:03

Take profit at 1.5345 (1.39 %) and Stop Loss at 1.5669 (0.69 %)

Short Trade on EIGEN

The 15 Sep 2025 at 16:47:03

With 739.8721 EIGEN at 1.5561$ per unit.

Position size of 1151.315 $

Take profit at 1.5345 (1.39 %) and Stop Loss at 1.5669 (0.69 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.68
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.59
Prediction 2 Probability
0 0.5
Prediction 3 Probability
0 0.75
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.6765

15m : -0.057521

1H : -0.087294

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.007208453141
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 1.54705
  4. ema21 : 1.56946
  5. ema50 : 1.58526
  6. ema100 : 1.56813
  7. price_ema9_diff : 0.00584609
  8. ema9_ema21_diff : -0.0142802
  9. ema21_ema50_diff : -0.00996693
  10. price_ema100_diff : -0.00767237
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.300634
  14. ema_slope_21 : -0.214734
  15. ema_slope_50 : -0.0971051
  16. ema_slope_100 : -0.0161128
  17. rsi : 0.461756
  18. adx : 0.162273
  19. kc_percentage : 0.421377
  20. kc_width_percentage : 0.0974526
  21. volume_ema_diff : -0.372733
  22. volume_ema1 : 735801.51626498
  23. volume_ema2 : 1173027.9682767
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 1.54044
  28. ema21 : 1.53732
  29. ema50 : 1.55572
  30. ema100 : 1.57791
  31. price_ema9_diff : 0.0101617
  32. ema9_ema21_diff : 0.00202745
  33. ema21_ema50_diff : -0.0118227
  34. price_ema100_diff : -0.0138222
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.122538
  38. ema_slope_21 : 0.000198622
  39. ema_slope_50 : -0.0676457
  40. ema_slope_100 : -0.0621223
  41. rsi : 0.568372
  42. adx : 0.273551
  43. kc_percentage : 0.81692
  44. kc_width_percentage : 0.0387607
  45. volume_ema_diff : -0.716029
  46. volume_ema1 : 75484.962983345
  47. volume_ema2 : 265819.51641217
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 1.5468
  52. ema21 : 1.53988
  53. ema50 : 1.53406
  54. ema100 : 1.54187
  55. price_ema9_diff : 0.00601124
  56. ema9_ema21_diff : 0.00448964
  57. ema21_ema50_diff : 0.00379424
  58. price_ema100_diff : 0.00922273
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0756231
  62. ema_slope_21 : 0.0676496
  63. ema_slope_50 : 0.035365
  64. ema_slope_100 : 0.00336314
  65. rsi : 0.663215
  66. adx : 0.255384
  67. kc_percentage : 1.06279
  68. kc_width_percentage : 0.0179608
  69. volume_ema_diff : -0.632581
  70. volume_ema1 : 23097.485559089
  71. volume_ema2 : 62864.230059753
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114962
  77. 5m_price_ema100_diff:
    0.00169821
  78. 5m_price:
    115157
  79. 5m_correlation_with_coin:
    0.6765
  80. btc_indicators
  81. 15m_ema100:
    115204
  82. 15m_price_ema100_diff:
    -0.000402199
  83. 15m_price:
    115157
  84. 15m_correlation_with_coin:
    -0.057521
  85. btc_indicators
  86. 1H_ema100:
    115312
  87. 1H_price_ema100_diff:
    -0.00134126
  88. 1H_price:
    115157
  89. 1H_correlation_with_coin:
    -0.087294
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:47:03
15 Sep 2025
17:10:00
22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.5561 1.5669 1.5345 2 0.1985
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 1.5561
  • Stop Loss: 1.5669
  • Take Profit: 1.5345

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.5669 - 1.5561 = 0.0108

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.5561 - 1.5345 = 0.0216

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0216 / 0.0108 = 2

📌 Position Size

Amount Margin Quantity Leverage
1151.315 100 739.8721 11.51
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 0.0108

Taille de position = 8 / 0.0108 = 740.74

Taille de position USD = 740.74 x 1.5561 = 1152.67

Donc, tu peux acheter 740.74 avec un stoploss a 1.5669

Avec un position size USD de 1152.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 740.74 x 0.0108 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 740.74 x 0.0216 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 740.74
  • Taille de position USD 1152.67
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.39 % 15.98 $
SL % Target SL $ Target
0.69 % 7.99 $
PNL PNL %
-7.99 $ -0.69
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8611 % 124.08 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.5345
            [entry_price] => 1.5561
            [stop_loss] => 1.56798
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 17:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.5345
            [entry_price] => 1.5561
            [stop_loss] => 1.56906
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 17:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.5345
            [entry_price] => 1.5561
            [stop_loss] => 1.57014
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 17:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.5345
            [entry_price] => 1.5561
            [stop_loss] => 1.5723
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 18:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0088000000000001
            [max_drawdown] => 0.0353
            [rr_ratio] => 0.25
            [high] => 1.59140000
            [low] => 1.54730000
            [mfe_pct] => 0.57
            [mae_pct] => 2.27
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:47:03-04:00
            [end_at] => 2025-09-15T18:47:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0282
            [max_drawdown] => 0.0353
            [rr_ratio] => 0.8
            [high] => 1.59140000
            [low] => 1.52790000
            [mfe_pct] => 1.81
            [mae_pct] => 2.27
            [mfe_mae_ratio] => 0.8
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:47:03-04:00
            [end_at] => 2025-09-15T23:47:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.55910000
            [high_after] => 1.59140000
            [low_before] => 1.48810000
            [low_after] => 1.52790000
            [is_new_high] => 
            [is_new_low] => 
        )

)