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Short Trade on ICP

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Short Trade on ICP 22 Sep 2025 at 16:55:56

Take profit at 4.2807 (0.7 %) and Stop Loss at 4.3261 (0.35 %)

Short Trade on ICP

The 22 Sep 2025 at 16:55:56

With 528.4691 ICP at 4.311$ per unit.

Position size of 2278.2303 $

Take profit at 4.2807 (0.7 %) and Stop Loss at 4.3261 (0.35 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.25
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
1 0.52
Prediction 3 Probability
1 0.74
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.58886

15m : -0.020589

1H : -0.089372

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.01009204371
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 4.31591
  4. ema21 : 4.39741
  5. ema50 : 4.53727
  6. ema100 : 4.65451
  7. price_ema9_diff : -0.00113891
  8. ema9_ema21_diff : -0.0185344
  9. ema21_ema50_diff : -0.0308241
  10. price_ema100_diff : -0.0738025
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.288056
  14. ema_slope_21 : -0.329428
  15. ema_slope_50 : -0.242219
  16. ema_slope_100 : -0.160145
  17. rsi : 0.355673
  18. adx : 0.614023
  19. kc_percentage : 0.126761
  20. kc_width_percentage : 0.0495251
  21. volume_ema_diff : -0.419778
  22. volume_ema1 : 274525.26344181
  23. volume_ema2 : 473139.12201826
  24. chop : 67.6099
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 4.28854
  28. ema21 : 4.29756
  29. ema50 : 4.34002
  30. ema100 : 4.42431
  31. price_ema9_diff : 0.00523499
  32. ema9_ema21_diff : -0.00209792
  33. ema21_ema50_diff : -0.0097832
  34. price_ema100_diff : -0.0256121
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0335729
  38. ema_slope_21 : -0.0442919
  39. ema_slope_50 : -0.0619134
  40. ema_slope_100 : -0.0692799
  41. rsi : 0.480847
  42. adx : 0.349108
  43. kc_percentage : 0.69802
  44. kc_width_percentage : 0.0169288
  45. volume_ema_diff : -0.62724
  46. volume_ema1 : 38854.491443759
  47. volume_ema2 : 104234.83968506
  48. chop : 55.6
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 4.29713
  52. ema21 : 4.29001
  53. ema50 : 4.29446
  54. ema100 : 4.30672
  55. price_ema9_diff : 0.00322562
  56. ema9_ema21_diff : 0.00165998
  57. ema21_ema50_diff : -0.0010349
  58. price_ema100_diff : 0.000991848
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.053579
  62. ema_slope_21 : 0.0161612
  63. ema_slope_50 : -0.00389698
  64. ema_slope_100 : -0.00867216
  65. rsi : 0.633755
  66. adx : 0.289881
  67. kc_percentage : 1.02454
  68. kc_width_percentage : 0.00921057
  69. volume_ema_diff : -0.357968
  70. volume_ema1 : 13464.835411692
  71. volume_ema2 : 20972.221853496
  72. chop : 33.3714
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112505
  77. 5m_price_ema100_diff: 
    0.00198545
  78. 5m_price: 
    112729
  79. 5m_correlation_with_coin: 
    0.58886
  80. btc_indicators
  81. 15m_ema100: 
    113306
  82. 15m_price_ema100_diff: 
    -0.00635826
  83. 15m_price: 
    112586
  84. 15m_correlation_with_coin: 
    -0.020589
  85. btc_indicators
  86. 1H_ema100: 
    115049
  87. 1H_price_ema100_diff: 
    -0.020172
  88. 1H_price: 
    112729
  89. 1H_correlation_with_coin: 
    -0.089372
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:55:56		 22 Sep 2025
17:25:00		 29 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.311 4.3261 4.2807 2.01 2.674
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 4.311
  • Stop Loss: 4.3261
  • Take Profit: 4.2807

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.3261 - 4.311 = 0.0151

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.311 - 4.2807 = 0.0303

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0303 / 0.0151 = 2.0066

📌 Position Size

Amount Margin Quantity Leverage
2278.2303 100 528.4691 22.78
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 0.0151

Taille de position = 8 / 0.0151 = 529.8

Taille de position USD = 529.8 x 4.311 = 2283.97

Donc, tu peux acheter 529.8 avec un stoploss a 4.3261

Avec un position size USD de 2283.97$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 529.8 x 0.0151 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 529.8 x 0.0303 = 16.05

Si Take Profit atteint, tu gagneras 16.05$

Résumé

  • Taille de position 529.8
  • Taille de position USD 2283.97
  • Perte potentielle 8
  • Gain potentiel 16.05
  • Risk-Reward Ratio 2.0066

📌 Peformances

TP % Target TP $ Target
0.7 % 16.01 $
SL % Target SL $ Target
0.35 % 7.98 $
PNL PNL %
-7.98 $ -0.35
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3711 % 105.94 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.2807
            [entry_price] => 4.311
            [stop_loss] => 4.32761
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.2807
            [entry_price] => 4.311
            [stop_loss] => 4.32912
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.2807
            [entry_price] => 4.311
            [stop_loss] => 4.33063
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.2807
            [entry_price] => 4.311
            [stop_loss] => 4.33365
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.029
            [rr_ratio] => 0.38
            [high] => 4.34000000
            [low] => 4.30000000
            [mfe_pct] => 0.26
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:55:56-04:00
            [end_at] => 2025-09-22T18:55:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.094
            [max_drawdown] => 0.029
            [rr_ratio] => 3.24
            [high] => 4.34000000
            [low] => 4.21700000
            [mfe_pct] => 2.18
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 3.24
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:55:56-04:00
            [end_at] => 2025-09-22T23:55:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.32000000
            [high_after] => 4.34000000
            [low_before] => 4.25300000
            [low_after] => 4.22700000
            [is_new_high] => 
            [is_new_low] => 1
        )

)