Short Trade on ICP 08 Oct 2025 at 04:32:21

Take profit at 4.3953 (0.58 %) and Stop Loss at 4.4339 (0.29 %)

Short Trade on ICP

The 08 Oct 2025 at 04:32:21

With 621.928 ICP at 4.421$ per unit.

Position size of 2749.5436 $

Take profit at 4.3953 (0.58 %) and Stop Loss at 4.4339 (0.29 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.17
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.5
Prediction 2 Probability
0 0.52
Prediction 3 Probability
1 0.54
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.668307

15m : -0.044109

1H : 0.101523

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.00857548393
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 4.41297
  4. ema21 : 4.44378
  5. ema50 : 4.49455
  6. ema100 : 4.52523
  7. price_ema9_diff : 0.00181927
  8. ema9_ema21_diff : -0.0069336
  9. ema21_ema50_diff : -0.0112966
  10. price_ema100_diff : -0.0230347
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0779065
  14. ema_slope_21 : -0.113764
  15. ema_slope_50 : -0.0865448
  16. ema_slope_100 : -0.0526544
  17. rsi : 0.442406
  18. adx : 0.287792
  19. kc_percentage : 0.385119
  20. kc_width_percentage : 0.0396736
  21. volume_ema_diff : -0.133635
  22. volume_ema1 : 316719.23255865
  23. volume_ema2 : 365572.83053549
  24. chop : 61.5493
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 4.40196
  29. ema21 : 4.40085
  30. ema50 : 4.4178
  31. ema100 : 4.44556
  32. price_ema9_diff : 0.00432426
  33. ema9_ema21_diff : 0.000251977
  34. ema21_ema50_diff : -0.00383635
  35. price_ema100_diff : -0.00552595
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.015205
  39. ema_slope_21 : -0.0194884
  40. ema_slope_50 : -0.0286863
  41. ema_slope_100 : -0.0271645
  42. rsi : 0.586036
  43. adx : 0.295645
  44. kc_percentage : 0.821538
  45. kc_width_percentage : 0.0144507
  46. volume_ema_diff : -0.0356627
  47. volume_ema1 : 84758.645276626
  48. volume_ema2 : 87893.160175969
  49. chop : 52.5942
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 4.4118
  54. ema21 : 4.40074
  55. ema50 : 4.39736
  56. ema100 : 4.40602
  57. price_ema9_diff : 0.00208479
  58. ema9_ema21_diff : 0.00251263
  59. ema21_ema50_diff : 0.000767693
  60. price_ema100_diff : 0.00339925
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0576604
  64. ema_slope_21 : 0.0366038
  65. ema_slope_50 : 0.0117812
  66. ema_slope_100 : 0.00027781
  67. rsi : 0.65291
  68. adx : 0.273687
  69. kc_percentage : 1.0677
  70. kc_width_percentage : 0.0078372
  71. volume_ema_diff : 0.668858
  72. volume_ema1 : 51801.612595908
  73. volume_ema2 : 31040.153267896
  74. chop : 27.1999
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    121603
  80. 5m_price_ema100_diff:
    0.00334949
  81. 5m_price:
    122011
  82. 5m_correlation_with_coin:
    0.668307
  83. btc_indicators
  84. 15m_ema100:
    122130
  85. 15m_price_ema100_diff:
    -0.000979576
  86. 15m_price:
    122011
  87. 15m_correlation_with_coin:
    -0.044109
  88. btc_indicators
  89. 1H_ema100:
    123004
  90. 1H_price_ema100_diff:
    -0.00807228
  91. 1H_price:
    122011
  92. 1H_correlation_with_coin:
    0.101523
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Oct 2025
04:32:21
08 Oct 2025
04:35:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.421 4.4339 4.3953 1.99 2.412
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 4.421
  • Stop Loss: 4.4339
  • Take Profit: 4.3953

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.4339 - 4.421 = 0.0129

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.421 - 4.3953 = 0.025700000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.025700000000001 / 0.0129 = 1.9922

📌 Position Size

Amount Margin Quantity Leverage
2749.5436 100 621.928 27.50
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 0.0129

Taille de position = 8 / 0.0129 = 620.16

Taille de position USD = 620.16 x 4.421 = 2741.73

Donc, tu peux acheter 620.16 avec un stoploss a 4.4339

Avec un position size USD de 2741.73$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 620.16 x 0.0129 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 620.16 x 0.025700000000001 = 15.94

Si Take Profit atteint, tu gagneras 15.94$

Résumé

  • Taille de position 620.16
  • Taille de position USD 2741.73
  • Perte potentielle 8
  • Gain potentiel 15.94
  • Risk-Reward Ratio 1.9922

📌 Peformances

TP % Target TP $ Target
0.58 % 15.98 $
SL % Target SL $ Target
0.29 % 8.02 $
PNL PNL %
-8.02 $ -0.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4071 % 139.51 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.3953
            [entry_price] => 4.421
            [stop_loss] => 4.43519
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-08 04:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.3953
            [entry_price] => 4.421
            [stop_loss] => 4.43648
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-08 04:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.3953
            [entry_price] => 4.421
            [stop_loss] => 4.43777
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-08 04:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.3953
            [entry_price] => 4.421
            [stop_loss] => 4.44035
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-08 04:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0040000000000004
            [max_drawdown] => 0.029
            [rr_ratio] => 0.14
            [high] => 4.45000000
            [low] => 4.41700000
            [mfe_pct] => 0.09
            [mae_pct] => 0.66
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 24
            [start_at] => 2025-10-08T04:32:21-04:00
            [end_at] => 2025-10-08T06:32:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.008
            [max_drawdown] => 0.079
            [rr_ratio] => 0.1
            [high] => 4.50000000
            [low] => 4.41300000
            [mfe_pct] => 0.18
            [mae_pct] => 1.79
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 84
            [start_at] => 2025-10-08T04:32:21-04:00
            [end_at] => 2025-10-08T11:32:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.43500000
            [high_after] => 4.50000000
            [low_before] => 4.36200000
            [low_after] => 4.41300000
            [is_new_high] => 
            [is_new_low] => 
        )

)