Short Trade on IMX 30 Sep 2025 at 16:18:20

Take profit at 0.6884 (1.11 %) and Stop Loss at 0.7 (0.56 %)

Short Trade on IMX

The 30 Sep 2025 at 16:18:20

With 2077.8098 IMX at 0.6961$ per unit.

Position size of 1446.3634 $

Take profit at 0.6884 (1.11 %) and Stop Loss at 0.7 (0.56 %)

That's a 1.97 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.38
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
0 0.49
Prediction 3 Probability
0 0.54
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.387175

15m : 0.142251

1H : 0.037455

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0025668053
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 0.69181
  4. ema21 : 0.704537
  5. ema50 : 0.72587
  6. ema100 : 0.733353
  7. price_ema9_diff : 0.00619983
  8. ema9_ema21_diff : -0.0180635
  9. ema21_ema50_diff : -0.0293896
  10. price_ema100_diff : -0.0507986
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.307326
  14. ema_slope_21 : -0.345009
  15. ema_slope_50 : -0.240572
  16. ema_slope_100 : -0.128245
  17. rsi : 0.391486
  18. adx : 0.440712
  19. kc_percentage : 0.313815
  20. kc_width_percentage : 0.0564448
  21. volume_ema_diff : -0.290563
  22. volume_ema1 : 276443.40545306
  23. volume_ema2 : 389665.9627172
  24. chop : 46.9066
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.68992
  29. ema21 : 0.687821
  30. ema50 : 0.694244
  31. ema100 : 0.708585
  32. price_ema9_diff : 0.00895743
  33. ema9_ema21_diff : 0.00305089
  34. ema21_ema50_diff : -0.00925228
  35. price_ema100_diff : -0.0176208
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.110678
  39. ema_slope_21 : 0.0199194
  40. ema_slope_50 : -0.0484319
  41. ema_slope_100 : -0.0672832
  42. rsi : 0.607726
  43. adx : 0.297851
  44. kc_percentage : 0.930484
  45. kc_width_percentage : 0.0277432
  46. volume_ema_diff : -0.512878
  47. volume_ema1 : 45886.892515498
  48. volume_ema2 : 94200.102620604
  49. chop : 48.2694
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.693119
  54. ema21 : 0.689741
  55. ema50 : 0.68701
  56. ema100 : 0.68861
  57. price_ema9_diff : 0.00429977
  58. ema9_ema21_diff : 0.00489847
  59. ema21_ema50_diff : 0.00397463
  60. price_ema100_diff : 0.0108762
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.110024
  64. ema_slope_21 : 0.0776863
  65. ema_slope_50 : 0.0384715
  66. ema_slope_100 : 0.0108371
  67. rsi : 0.721781
  68. adx : 0.458546
  69. kc_percentage : 1.11288
  70. kc_width_percentage : 0.0144016
  71. volume_ema_diff : -0.490118
  72. volume_ema1 : 14853.560727614
  73. volume_ema2 : 29131.380566228
  74. chop : 34.8238
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113400
  80. 5m_price_ema100_diff:
    0.00660526
  81. 5m_price:
    114149
  82. 5m_correlation_with_coin:
    0.387175
  83. btc_indicators
  84. 15m_ema100:
    113605
  85. 15m_price_ema100_diff:
    0.00478177
  86. 15m_price:
    114149
  87. 15m_correlation_with_coin:
    0.142251
  88. btc_indicators
  89. 1H_ema100:
    111882
  90. 1H_price_ema100_diff:
    0.0202584
  91. 1H_price:
    114149
  92. 1H_correlation_with_coin:
    0.037455
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
16:18:20
30 Sep 2025
16:40:00
21 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6961 0.7 0.6884 1.97 0.1673
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 0.6961
  • Stop Loss: 0.7
  • Take Profit: 0.6884

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7 - 0.6961 = 0.0038999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6961 - 0.6884 = 0.0077

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0077 / 0.0038999999999999 = 1.9744

📌 Position Size

Amount Margin Quantity Leverage
1446.3634 100 2077.8098 14.46
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 0.0038999999999999

Taille de position = 8 / 0.0038999999999999 = 2051.28

Taille de position USD = 2051.28 x 0.6961 = 1427.9

Donc, tu peux acheter 2051.28 avec un stoploss a 0.7

Avec un position size USD de 1427.9$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2051.28 x 0.0038999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2051.28 x 0.0077 = 15.79

Si Take Profit atteint, tu gagneras 15.79$

Résumé

  • Taille de position 2051.28
  • Taille de position USD 1427.9
  • Perte potentielle 8
  • Gain potentiel 15.79
  • Risk-Reward Ratio 1.9744

📌 Peformances

TP % Target TP $ Target
1.11 % 16 $
SL % Target SL $ Target
0.56 % 8.1 $
PNL PNL %
-8.1 $ -0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6177 % 110.24 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.6884
            [entry_price] => 0.6961
            [stop_loss] => 0.70039
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 16:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.6884
            [entry_price] => 0.6961
            [stop_loss] => 0.70078
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.6884
            [entry_price] => 0.6961
            [stop_loss] => 0.70117
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.6884
            [entry_price] => 0.6961
            [stop_loss] => 0.70195
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 16:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0076000000000001
            [max_drawdown] => 0.0069999999999999
            [rr_ratio] => 1.09
            [high] => 0.70310000
            [low] => 0.68850000
            [mfe_pct] => 1.09
            [mae_pct] => 1.01
            [mfe_mae_ratio] => 1.09
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T16:18:20-04:00
            [end_at] => 2025-09-30T18:18:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0176
            [max_drawdown] => 0.0069999999999999
            [rr_ratio] => 2.51
            [high] => 0.70310000
            [low] => 0.67850000
            [mfe_pct] => 2.53
            [mae_pct] => 1.01
            [mfe_mae_ratio] => 2.51
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T16:18:20-04:00
            [end_at] => 2025-09-30T23:18:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.69660000
            [high_after] => 0.70310000
            [low_before] => 0.67380000
            [low_after] => 0.67850000
            [is_new_high] => 
            [is_new_low] => 
        )

)