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Short Trade on ICP

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Short Trade on ICP 04 Sep 2025 at 21:54:06

Take profit at 4.7053 (0.65 %) and Stop Loss at 4.7514 (0.33 %)

Short Trade on ICP

The 04 Sep 2025 at 21:54:06

With 520.849 ICP at 4.736$ per unit.

Position size of 2466.7408 $

Take profit at 4.7053 (0.65 %) and Stop Loss at 4.7514 (0.33 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.44
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.52
Prediction 3 Probability
0 0.76
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.463335

15m : 0.126347

1H : 0.098226

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.01023969227
Details
  1. score: 1.22
  2. 1H
  3. ema9 : 4.726
  4. ema21 : 4.75635
  5. ema50 : 4.79042
  6. ema100 : 4.79987
  7. price_ema9_diff : 0.002114
  8. ema9_ema21_diff : -0.00637954
  9. ema21_ema50_diff : -0.00711246
  10. price_ema100_diff : -0.0133076
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.150653
  14. ema_slope_21 : -0.129632
  15. ema_slope_50 : -0.0721792
  16. ema_slope_100 : -0.0360204
  17. rsi : 0.447586
  18. adx : 0.282529
  19. kc_percentage : 0.391272
  20. kc_width_percentage : 0.0351081
  21. volume_ema_diff : -0.146529
  22. volume_ema1 : 218180.71588689
  23. volume_ema2 : 255639.40371551
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 4.70543
  27. ema21 : 4.71158
  28. ema50 : 4.73194
  29. ema100 : 4.7685
  30. price_ema9_diff : 0.00649615
  31. ema9_ema21_diff : -0.00130494
  32. ema21_ema50_diff : -0.00430376
  33. price_ema100_diff : -0.00681731
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0415407
  37. ema_slope_21 : -0.0262277
  38. ema_slope_50 : -0.0285042
  39. ema_slope_100 : -0.0295162
  40. rsi : 0.514618
  41. adx : 0.218384
  42. kc_percentage : 0.866302
  43. kc_width_percentage : 0.0143861
  44. volume_ema_diff : 0.144857
  45. volume_ema1 : 69310.488286264
  46. volume_ema2 : 60540.696691757
  47. regime : range_low
    48. ¸
  48. 5m
  49. ema9 : 4.70745
  50. ema21 : 4.70499
  51. ema50 : 4.70975
  52. ema100 : 4.71546
  53. price_ema9_diff : 0.00606317
  54. ema9_ema21_diff : 0.00052377
  55. ema21_ema50_diff : -0.00101099
  56. price_ema100_diff : 0.00435561
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.00557915
  60. ema_slope_21 : -0.00808534
  61. ema_slope_50 : -0.00956904
  62. ema_slope_100 : -0.00724193
  63. rsi : 0.683138
  64. adx : 0.273181
  65. kc_percentage : 1.21783
  66. kc_width_percentage : 0.00915318
  67. volume_ema_diff : 1.07091
  68. volume_ema1 : 39410.5710287
  69. volume_ema2 : 19030.556862531
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    110469
  74. 5m_price_ema100_diff: 
    0.00502593
  75. 5m_price: 
    111025
  76. 5m_correlation_with_coin: 
    0.463335
  77. btc_indicators
  78. 15m_ema100: 
    110617
  79. 15m_price_ema100_diff: 
    0.00249783
  80. 15m_price: 
    110893
  81. 15m_correlation_with_coin: 
    0.126347
  82. btc_indicators
  83. 1H_ema100: 
    110351
  84. 1H_price_ema100_diff: 
    0.00609889
  85. 1H_price: 
    111025
  86. 1H_correlation_with_coin: 
    0.098226
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
21:54:06		 04 Sep 2025
21:55:00		 54 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.736 4.7514 4.7053 1.99 2.471
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 4.736
  • Stop Loss: 4.7514
  • Take Profit: 4.7053

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.7514 - 4.736 = 0.015400000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.736 - 4.7053 = 0.0307

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0307 / 0.015400000000001 = 1.9935

📌 Position Size

Amount Margin Quantity Leverage
2466.7408 100 520.849 24.67
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 0.015400000000001

Taille de position = 8 / 0.015400000000001 = 519.48

Taille de position USD = 519.48 x 4.736 = 2460.26

Donc, tu peux acheter 519.48 avec un stoploss a 4.7514

Avec un position size USD de 2460.26$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 519.48 x 0.015400000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 519.48 x 0.0307 = 15.95

Si Take Profit atteint, tu gagneras 15.95$

Résumé

  • Taille de position 519.48
  • Taille de position USD 2460.26
  • Perte potentielle 8
  • Gain potentiel 15.95
  • Risk-Reward Ratio 1.9935

📌 Peformances

TP % Target TP $ Target
0.65 % 15.99 $
SL % Target SL $ Target
0.33 % 8.02 $
PNL PNL %
-8.02 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4434 % 136.35 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.7053
            [entry_price] => 4.736
            [stop_loss] => 4.75294
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 21:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.7053
            [entry_price] => 4.736
            [stop_loss] => 4.75448
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 21:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.7053
            [entry_price] => 4.736
            [stop_loss] => 4.75602
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-04 21:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.7053
            [entry_price] => 4.736
            [stop_loss] => 4.7591
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-05 03:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.023000000000001
            [rr_ratio] => 0.48
            [high] => 4.75900000
            [low] => 4.72500000
            [mfe_pct] => 0.23
            [mae_pct] => 0.49
            [mfe_mae_ratio] => 0.48
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T21:54:06-04:00
            [end_at] => 2025-09-04T23:54:06-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.109
            [rr_ratio] => 0.1
            [high] => 4.84500000
            [low] => 4.72500000
            [mfe_pct] => 0.23
            [mae_pct] => 2.3
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T21:54:06-04:00
            [end_at] => 2025-09-05T04:54:06-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.76100000
            [high_after] => 4.84000000
            [low_before] => 4.68600000
            [low_after] => 4.72500000
            [is_new_high] => 
            [is_new_low] => 
        )

)