Short Trade on ICP 04 Oct 2025 at 16:11:10

Take profit at 4.4615 (0.39 %) and Stop Loss at 4.4877 (0.19 %)

Short Trade on ICP

The 04 Oct 2025 at 16:11:10

With 914.615 ICP at 4.479$ per unit.

Position size of 4096.5604 $

Take profit at 4.4615 (0.39 %) and Stop Loss at 4.4877 (0.19 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.62
Prediction Score: 3
Prediction 1 Probability
Strong Trade
0.62
Prediction 2 Probability
1 0.43
Prediction 3 Probability
1 0.52
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.699586

15m : 0.170063

1H : -0.109324

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.005831233395
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 4.47412
  4. ema21 : 4.50501
  5. ema50 : 4.51367
  6. ema100 : 4.4524
  7. price_ema9_diff : 0.00109056
  8. ema9_ema21_diff : -0.00685669
  9. ema21_ema50_diff : -0.00192058
  10. price_ema100_diff : 0.00597349
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.18753
  14. ema_slope_21 : -0.141544
  15. ema_slope_50 : -0.0491619
  16. ema_slope_100 : 0.00938882
  17. rsi : 0.427277
  18. adx : 0.218026
  19. kc_percentage : 0.320341
  20. kc_width_percentage : 0.0299211
  21. volume_ema_diff : -0.518949
  22. volume_ema1 : 140017.25163904
  23. volume_ema2 : 291065.68699618
  24. chop : 45.8037
  25. regime : range_high
  26. ¸
  27. 15m
  28. ema9 : 4.46448
  29. ema21 : 4.46569
  30. ema50 : 4.48992
  31. ema100 : 4.5285
  32. price_ema9_diff : 0.00325052
  33. ema9_ema21_diff : -0.000269759
  34. ema21_ema50_diff : -0.00539599
  35. price_ema100_diff : -0.0109321
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0169422
  39. ema_slope_21 : -0.010239
  40. ema_slope_50 : -0.0313848
  41. ema_slope_100 : -0.0329994
  42. rsi : 0.542062
  43. adx : 0.158197
  44. kc_percentage : 0.755871
  45. kc_width_percentage : 0.0120428
  46. volume_ema_diff : -0.746449
  47. volume_ema1 : 17476.722574678
  48. volume_ema2 : 68927.98556046
  49. chop : 71.7478
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 4.46951
  54. ema21 : 4.4646
  55. ema50 : 4.46326
  56. ema100 : 4.46871
  57. price_ema9_diff : 0.00212105
  58. ema9_ema21_diff : 0.0011014
  59. ema21_ema50_diff : 0.000300357
  60. price_ema100_diff : 0.00230072
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0229095
  64. ema_slope_21 : 0.0141922
  65. ema_slope_50 : 0.00450244
  66. ema_slope_100 : -0.000954304
  67. rsi : 0.664726
  68. adx : 0.153273
  69. kc_percentage : 1.10911
  70. kc_width_percentage : 0.0051845
  71. volume_ema_diff : -0.819407
  72. volume_ema1 : 3666.5541237207
  73. volume_ema2 : 20302.95895045
  74. chop : 37.7998
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    121840
  80. 5m_price_ema100_diff:
    0.000326441
  81. 5m_price:
    121880
  82. 5m_correlation_with_coin:
    0.699586
  83. btc_indicators
  84. 15m_ema100:
    122126
  85. 15m_price_ema100_diff:
    -0.002012
  86. 15m_price:
    121880
  87. 15m_correlation_with_coin:
    0.170063
  88. btc_indicators
  89. 1H_ema100:
    119477
  90. 1H_price_ema100_diff:
    0.0201132
  91. 1H_price:
    121880
  92. 1H_correlation_with_coin:
    -0.109324
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Oct 2025
16:11:10
04 Oct 2025
16:20:00
8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.479 4.4877 4.4615 2.01 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 4.479
  • Stop Loss: 4.4877
  • Take Profit: 4.4615

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.4877 - 4.479 = 0.0087000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.479 - 4.4615 = 0.0175

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0175 / 0.0087000000000002 = 2.0115

📌 Position Size

Amount Margin Quantity Leverage
4096.5604 100 914.615 40.97
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 0.0087000000000002

Taille de position = 8 / 0.0087000000000002 = 919.54

Taille de position USD = 919.54 x 4.479 = 4118.62

Donc, tu peux acheter 919.54 avec un stoploss a 4.4877

Avec un position size USD de 4118.62$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 919.54 x 0.0087000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 919.54 x 0.0175 = 16.09

Si Take Profit atteint, tu gagneras 16.09$

Résumé

  • Taille de position 919.54
  • Taille de position USD 4118.62
  • Perte potentielle 8
  • Gain potentiel 16.09
  • Risk-Reward Ratio 2.0115

📌 Peformances

TP % Target TP $ Target
0.39 % 16.01 $
SL % Target SL $ Target
0.19 % 7.96 $
PNL PNL %
-7.96 $ -0.19
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2233 % 114.98 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.4615
            [entry_price] => 4.479
            [stop_loss] => 4.48857
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-04 16:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.4615
            [entry_price] => 4.479
            [stop_loss] => 4.48944
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-04 17:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.4615
            [entry_price] => 4.479
            [stop_loss] => 4.49031
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-04 17:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.4615
            [entry_price] => 4.479
            [stop_loss] => 4.49205
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-04 18:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0090000000000003
            [max_drawdown] => 0.013
            [rr_ratio] => 0.69
            [high] => 4.49200000
            [low] => 4.47000000
            [mfe_pct] => 0.2
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 0.69
            [candles_analyzed] => 24
            [start_at] => 2025-10-04T16:11:10-04:00
            [end_at] => 2025-10-04T18:11:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.013
            [max_drawdown] => 0.104
            [rr_ratio] => 0.12
            [high] => 4.58300000
            [low] => 4.46600000
            [mfe_pct] => 0.29
            [mae_pct] => 2.32
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 84
            [start_at] => 2025-10-04T16:11:10-04:00
            [end_at] => 2025-10-04T23:11:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.48200000
            [high_after] => 4.51400000
            [low_before] => 4.42600000
            [low_after] => 4.46600000
            [is_new_high] => 
            [is_new_low] => 
        )

)