Short Trade on ALCH 06 Oct 2025 at 08:25:43

Take profit at 0.07288 (1.46 %) and Stop Loss at 0.0745 (0.73 %)

Short Trade on ALCH

The 06 Oct 2025 at 08:25:43

With 14783.738 ALCH at 0.07396$ per unit.

Position size of 1093.4053 $

Take profit at 0.07288 (1.46 %) and Stop Loss at 0.0745 (0.73 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 80
ML Pullback Score: 7.91
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.87
Prediction 2 Probability
0 0.63
Prediction 3 Probability
1 0.59
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium

BTC Correlation Score

5m : 0.138329

15m : 0.062301

1H : 0.040283

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0003607567546
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.0737962
  4. ema21 : 0.0747159
  5. ema50 : 0.0753874
  6. ema100 : 0.0730933
  7. price_ema9_diff : 0.00221848
  8. ema9_ema21_diff : -0.0123089
  9. ema21_ema50_diff : -0.00890701
  10. price_ema100_diff : 0.011857
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.148863
  14. ema_slope_21 : -0.209007
  15. ema_slope_50 : -0.10207
  16. ema_slope_100 : 0.0246641
  17. rsi : 0.448615
  18. adx : 0.270429
  19. kc_percentage : 0.388265
  20. kc_width_percentage : 0.0820827
  21. volume_ema_diff : -0.783795
  22. volume_ema1 : 261601.84308585
  23. volume_ema2 : 1209973.9722335
  24. chop : 69.6333
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0732495
  29. ema21 : 0.0734947
  30. ema50 : 0.074019
  31. ema100 : 0.0748786
  32. price_ema9_diff : 0.00969938
  33. ema9_ema21_diff : -0.00333596
  34. ema21_ema50_diff : -0.00708343
  35. price_ema100_diff : -0.012269
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.123315
  39. ema_slope_21 : -0.0964918
  40. ema_slope_50 : -0.0654306
  41. ema_slope_100 : -0.0544884
  42. rsi : 0.503121
  43. adx : 0.297239
  44. kc_percentage : 0.679732
  45. kc_width_percentage : 0.0365367
  46. volume_ema_diff : -0.394365
  47. volume_ema1 : 46886.107307364
  48. volume_ema2 : 77416.453108535
  49. chop : 39.8807
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.0734688
  54. ema21 : 0.0732197
  55. ema50 : 0.0733642
  56. ema100 : 0.0736002
  57. price_ema9_diff : 0.00668503
  58. ema9_ema21_diff : 0.0034021
  59. ema21_ema50_diff : -0.00196941
  60. price_ema100_diff : 0.00488729
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0868416
  64. ema_slope_21 : 0.038128
  65. ema_slope_50 : -0.00383829
  66. ema_slope_100 : -0.00964021
  67. rsi : 0.643031
  68. adx : 0.216425
  69. kc_percentage : 1.04267
  70. kc_width_percentage : 0.0182952
  71. volume_ema_diff : -0.255737
  72. volume_ema1 : 18991.517936919
  73. volume_ema2 : 25517.222422665
  74. chop : 48.075
  75. regime : range_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    123895
  80. 5m_price_ema100_diff:
    0.00513866
  81. 5m_price:
    124531
  82. 5m_correlation_with_coin:
    0.138329
  83. btc_indicators
  84. 15m_ema100:
    123570
  85. 15m_price_ema100_diff:
    0.00853961
  86. 15m_price:
    124625
  87. 15m_correlation_with_coin:
    0.062301
  88. btc_indicators
  89. 1H_ema100:
    122193
  90. 1H_price_ema100_diff:
    0.0191355
  91. 1H_price:
    124531
  92. 1H_correlation_with_coin:
    0.040283
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
06 Oct 2025
08:25:43
06 Oct 2025
09:40:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07396 0.0745 0.07288 2 0.07787
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 0.07396
  • Stop Loss: 0.0745
  • Take Profit: 0.07288

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0745 - 0.07396 = 0.00054

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07396 - 0.07288 = 0.00108

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00108 / 0.00054 = 2

📌 Position Size

Amount Margin Quantity Leverage
1093.4053 100 14783.738 10.93
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 0.00054

Taille de position = 8 / 0.00054 = 14814.81

Taille de position USD = 14814.81 x 0.07396 = 1095.7

Donc, tu peux acheter 14814.81 avec un stoploss a 0.0745

Avec un position size USD de 1095.7$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 14814.81 x 0.00054 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 14814.81 x 0.00108 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 14814.81
  • Taille de position USD 1095.7
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.46 % 15.97 $
SL % Target SL $ Target
0.73 % 7.98 $
PNL PNL %
15.97 $ 1.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3245 % 44.45 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.07288
            [stop_loss] => 0.0745
            [rr_ratio] => 2
            [closed_at] => 2025-10-06 09:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.07261
            [stop_loss] => 0.0745
            [rr_ratio] => 2.5
            [closed_at] => 2025-10-06 09:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.07234
            [stop_loss] => 0.0745
            [rr_ratio] => 3
            [closed_at] => 2025-10-06 12:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.07207
            [stop_loss] => 0.0745
            [rr_ratio] => 3.5
            [closed_at] => 2025-10-06 12:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.0718
            [stop_loss] => 0.0745
            [rr_ratio] => 4
            [closed_at] => 2025-10-06 12:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00154
            [max_drawdown] => 0.00024
            [rr_ratio] => 6.42
            [high] => 0.07420000
            [low] => 0.07242000
            [mfe_pct] => 2.08
            [mae_pct] => 0.32
            [mfe_mae_ratio] => 6.42
            [candles_analyzed] => 24
            [start_at] => 2025-10-06T08:25:43-04:00
            [end_at] => 2025-10-06T10:25:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00229
            [max_drawdown] => 0.00024
            [rr_ratio] => 9.54
            [high] => 0.07420000
            [low] => 0.07167000
            [mfe_pct] => 3.1
            [mae_pct] => 0.32
            [mfe_mae_ratio] => 9.54
            [candles_analyzed] => 84
            [start_at] => 2025-10-06T08:25:43-04:00
            [end_at] => 2025-10-06T15:25:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07502000
            [high_after] => 0.07420000
            [low_before] => 0.07117000
            [low_after] => 0.07167000
            [is_new_high] => 
            [is_new_low] => 
        )

)