Short Trade on ICP 08 Oct 2025 at 04:18:11

Take profit at 4.3857 (0.51 %) and Stop Loss at 4.4191 (0.25 %)

Short Trade on ICP

The 08 Oct 2025 at 04:18:11

With 718.0063 ICP at 4.408$ per unit.

Position size of 3164.9719 $

Take profit at 4.3857 (0.51 %) and Stop Loss at 4.4191 (0.25 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.13
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.63
Prediction 3 Probability
1 0.59
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 : 0.667753

15m : 0.107336

1H : -0.061228

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.007427975427
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 4.41037
  4. ema21 : 4.4426
  5. ema50 : 4.49404
  6. ema100 : 4.52498
  7. price_ema9_diff : -0.000537725
  8. ema9_ema21_diff : -0.00725467
  9. ema21_ema50_diff : -0.0114474
  10. price_ema100_diff : -0.025852
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.0827704
  14. ema_slope_21 : -0.11595
  15. ema_slope_50 : -0.0874802
  16. ema_slope_100 : -0.0531255
  17. rsi : 0.420854
  18. adx : 0.292973
  19. kc_percentage : 0.31117
  20. kc_width_percentage : 0.0383387
  21. volume_ema_diff : -0.310996
  22. volume_ema1 : 246161.60736878
  23. volume_ema2 : 357271.93345433
  24. chop : 61.4856
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 4.3954
  29. ema21 : 4.39802
  30. ema50 : 4.4173
  31. ema100 : 4.44574
  32. price_ema9_diff : 0.00286527
  33. ema9_ema21_diff : -0.000595089
  34. ema21_ema50_diff : -0.00436431
  35. price_ema100_diff : -0.00849036
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.00810374
  39. ema_slope_21 : -0.0323987
  40. ema_slope_50 : -0.0343156
  41. ema_slope_100 : -0.0298527
  42. rsi : 0.53238
  43. adx : 0.314416
  44. kc_percentage : 0.678649
  45. kc_width_percentage : 0.0134116
  46. volume_ema_diff : -0.359835
  47. volume_ema1 : 53967.8069159
  48. volume_ema2 : 84303.039538917
  49. chop : 63.2224
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 4.40128
  54. ema21 : 4.39322
  55. ema50 : 4.394
  56. ema100 : 4.40499
  57. price_ema9_diff : 0.00152552
  58. ema9_ema21_diff : 0.00183464
  59. ema21_ema50_diff : -0.000177066
  60. price_ema100_diff : 0.000682956
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0396702
  64. ema_slope_21 : 0.0230202
  65. ema_slope_50 : 0.00333293
  66. ema_slope_100 : -0.00456231
  67. rsi : 0.646713
  68. adx : 0.22422
  69. kc_percentage : 1.01083
  70. kc_width_percentage : 0.00640009
  71. volume_ema_diff : -0.331074
  72. volume_ema1 : 17360.618666182
  73. volume_ema2 : 25952.985275916
  74. chop : 38.7462
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    121552
  80. 5m_price_ema100_diff:
    0.000904632
  81. 5m_price:
    121662
  82. 5m_correlation_with_coin:
    0.667753
  83. btc_indicators
  84. 15m_ema100:
    122131
  85. 15m_price_ema100_diff:
    -0.00384464
  86. 15m_price:
    121662
  87. 15m_correlation_with_coin:
    0.107336
  88. btc_indicators
  89. 1H_ema100:
    122997
  90. 1H_price_ema100_diff:
    -0.010854
  91. 1H_price:
    121662
  92. 1H_correlation_with_coin:
    -0.061228
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Oct 2025
04:18:11
08 Oct 2025
04:20:00
1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.408 4.4191 4.3857 2.01 2.43
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 4.408
  • Stop Loss: 4.4191
  • Take Profit: 4.3857

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.4191 - 4.408 = 0.0111

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.408 - 4.3857 = 0.0223

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0223 / 0.0111 = 2.009

📌 Position Size

Amount Margin Quantity Leverage
3164.9719 100 718.0063 31.65
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 0.0111

Taille de position = 8 / 0.0111 = 720.72

Taille de position USD = 720.72 x 4.408 = 3176.93

Donc, tu peux acheter 720.72 avec un stoploss a 4.4191

Avec un position size USD de 3176.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 720.72 x 0.0111 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 720.72 x 0.0223 = 16.07

Si Take Profit atteint, tu gagneras 16.07$

Résumé

  • Taille de position 720.72
  • Taille de position USD 3176.93
  • Perte potentielle 8
  • Gain potentiel 16.07
  • Risk-Reward Ratio 2.009

📌 Peformances

TP % Target TP $ Target
0.51 % 16.01 $
SL % Target SL $ Target
0.25 % 7.97 $
PNL PNL %
-7.97 $ -0.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4764 % 189.2 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.3857
            [entry_price] => 4.408
            [stop_loss] => 4.42021
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-08 04:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.3857
            [entry_price] => 4.408
            [stop_loss] => 4.42132
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-08 04:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.3857
            [entry_price] => 4.408
            [stop_loss] => 4.42243
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-08 04:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.3857
            [entry_price] => 4.408
            [stop_loss] => 4.42465
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-08 04:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0049999999999999
            [max_drawdown] => 0.042
            [rr_ratio] => -0.12
            [high] => 4.45000000
            [low] => 4.41300000
            [mfe_pct] => -0.11
            [mae_pct] => 0.95
            [mfe_mae_ratio] => -0.12
            [candles_analyzed] => 24
            [start_at] => 2025-10-08T04:18:11-04:00
            [end_at] => 2025-10-08T06:18:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.0049999999999999
            [max_drawdown] => 0.092
            [rr_ratio] => -0.05
            [high] => 4.50000000
            [low] => 4.41300000
            [mfe_pct] => -0.11
            [mae_pct] => 2.09
            [mfe_mae_ratio] => -0.05
            [candles_analyzed] => 84
            [start_at] => 2025-10-08T04:18:11-04:00
            [end_at] => 2025-10-08T11:18:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.42000000
            [high_after] => 4.50000000
            [low_before] => 4.36200000
            [low_after] => 4.41300000
            [is_new_high] => 
            [is_new_low] => 
        )

)