Short Trade on EIGEN 15 Sep 2025 at 16:23:47

Take profit at 1.5292 (1.41 %) and Stop Loss at 1.5619 (0.7 %)

Short Trade on EIGEN

The 15 Sep 2025 at 16:23:47

With 734.3712 EIGEN at 1.551$ per unit.

Position size of 1139.0097 $

Take profit at 1.5292 (1.41 %) and Stop Loss at 1.5619 (0.7 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.66
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.58
Prediction 3 Probability
1 0.51
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 : 0.674868

15m : 0.065031

1H : 0.046359

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.007262449012
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 1.54603
  4. ema21 : 1.569
  5. ema50 : 1.58506
  6. ema100 : 1.56803
  7. price_ema9_diff : 0.00321094
  8. ema9_ema21_diff : -0.014639
  9. ema21_ema50_diff : -0.0101345
  10. price_ema100_diff : -0.0108609
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.305931
  14. ema_slope_21 : -0.217133
  15. ema_slope_50 : -0.0981442
  16. ema_slope_100 : -0.0166485
  17. rsi : 0.452069
  18. adx : 0.164867
  19. kc_percentage : 0.388928
  20. kc_width_percentage : 0.0959936
  21. volume_ema_diff : -0.41227
  22. volume_ema1 : 685978.19409648
  23. volume_ema2 : 1167166.4009627
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 1.53355
  28. ema21 : 1.53416
  29. ema50 : 1.55566
  30. ema100 : 1.5765
  31. price_ema9_diff : 0.011378
  32. ema9_ema21_diff : -0.000399659
  33. ema21_ema50_diff : -0.0138204
  34. price_ema100_diff : -0.0161804
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.103303
  38. ema_slope_21 : -0.032454
  39. ema_slope_50 : -0.0847424
  40. ema_slope_100 : -0.0673676
  41. rsi : 0.53858
  42. adx : 0.29143
  43. kc_percentage : 0.777677
  44. kc_width_percentage : 0.0404797
  45. volume_ema_diff : -0.679335
  46. volume_ema1 : 90984.04680208
  47. volume_ema2 : 283735.58856942
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 1.54113
  52. ema21 : 1.5344
  53. ema50 : 1.53078
  54. ema100 : 1.54057
  55. price_ema9_diff : 0.00640137
  56. ema9_ema21_diff : 0.00438594
  57. ema21_ema50_diff : 0.00236401
  58. price_ema100_diff : 0.00676541
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.075459
  62. ema_slope_21 : 0.0602327
  63. ema_slope_50 : 0.0253027
  64. ema_slope_100 : -0.00400596
  65. rsi : 0.661622
  66. adx : 0.221413
  67. kc_percentage : 1.08477
  68. kc_width_percentage : 0.0178234
  69. volume_ema_diff : -0.597073
  70. volume_ema1 : 26931.598256693
  71. volume_ema2 : 66839.899639581
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114946
  77. 5m_price_ema100_diff:
    0.00258809
  78. 5m_price:
    115244
  79. 5m_correlation_with_coin:
    0.674868
  80. btc_indicators
  81. 15m_ema100:
    115188
  82. 15m_price_ema100_diff:
    0.00201137
  83. 15m_price:
    115420
  84. 15m_correlation_with_coin:
    0.065031
  85. btc_indicators
  86. 1H_ema100:
    115314
  87. 1H_price_ema100_diff:
    -0.000607674
  88. 1H_price:
    115244
  89. 1H_correlation_with_coin:
    0.046359
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:23:47
15 Sep 2025
17:05:00
41 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.551 1.5619 1.5292 2 0.194
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 1.551
  • Stop Loss: 1.5619
  • Take Profit: 1.5292

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.5619 - 1.551 = 0.0109

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.551 - 1.5292 = 0.0218

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0218 / 0.0109 = 2

📌 Position Size

Amount Margin Quantity Leverage
1139.0097 100 734.3712 11.39
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 0.0109

Taille de position = 8 / 0.0109 = 733.94

Taille de position USD = 733.94 x 1.551 = 1138.34

Donc, tu peux acheter 733.94 avec un stoploss a 1.5619

Avec un position size USD de 1138.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 733.94 x 0.0109 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 733.94 x 0.0218 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 733.94
  • Taille de position USD 1138.34
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.41 % 16.01 $
SL % Target SL $ Target
0.7 % 8 $
PNL PNL %
-8 $ -0.70
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9284 % 132.1 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.5292
            [entry_price] => 1.551
            [stop_loss] => 1.56299
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 17:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.5292
            [entry_price] => 1.551
            [stop_loss] => 1.56408
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 17:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.5292
            [entry_price] => 1.551
            [stop_loss] => 1.56517
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 17:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.5292
            [entry_price] => 1.551
            [stop_loss] => 1.56735
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 17:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0105
            [max_drawdown] => 0.0261
            [rr_ratio] => 0.4
            [high] => 1.57710000
            [low] => 1.54050000
            [mfe_pct] => 0.68
            [mae_pct] => 1.68
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:23:47-04:00
            [end_at] => 2025-09-15T18:23:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0231
            [max_drawdown] => 0.0404
            [rr_ratio] => 0.57
            [high] => 1.59140000
            [low] => 1.52790000
            [mfe_pct] => 1.49
            [mae_pct] => 2.6
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:23:47-04:00
            [end_at] => 2025-09-15T23:23:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.55220000
            [high_after] => 1.59140000
            [low_before] => 1.48810000
            [low_after] => 1.52790000
            [is_new_high] => 
            [is_new_low] => 
        )

)