Short Trade on ICP 15 Sep 2025 at 17:57:16

Take profit at 4.6691 (0.38 %) and Stop Loss at 4.6959 (0.19 %)

Short Trade on ICP

The 15 Sep 2025 at 17:57:16

With 895.0758 ICP at 4.687$ per unit.

Position size of 4195.2201 $

Take profit at 4.6691 (0.38 %) and Stop Loss at 4.6959 (0.19 %)

That's a 2.01 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 90
ML Pullback Score: 10
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.86
Prediction 2 Probability
0 0.75
Prediction 3 Probability
0 0.8
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.69882

15m : 0.010454

1H : -0.132521

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.005958527256
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 4.68269
  4. ema21 : 4.7306
  5. ema50 : 4.81896
  6. ema100 : 4.87458
  7. price_ema9_diff : 0.000919833
  8. ema9_ema21_diff : -0.0101279
  9. ema21_ema50_diff : -0.0183361
  10. price_ema100_diff : -0.0384831
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.191824
  14. ema_slope_21 : -0.200678
  15. ema_slope_50 : -0.148244
  16. ema_slope_100 : -0.0902294
  17. rsi : 0.373787
  18. adx : 0.455967
  19. kc_percentage : 0.277904
  20. kc_width_percentage : 0.0379028
  21. volume_ema_diff : -0.326943
  22. volume_ema1 : 308345.29289657
  23. volume_ema2 : 458126.6509376
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 4.67305
  28. ema21 : 4.67057
  29. ema50 : 4.69294
  30. ema100 : 4.73669
  31. price_ema9_diff : 0.00298396
  32. ema9_ema21_diff : 0.000531761
  33. ema21_ema50_diff : -0.00476807
  34. price_ema100_diff : -0.0104911
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0238104
  38. ema_slope_21 : 0.00349016
  39. ema_slope_50 : -0.0248051
  40. ema_slope_100 : -0.0318336
  41. rsi : 0.54882
  42. adx : 0.186662
  43. kc_percentage : 0.771032
  44. kc_width_percentage : 0.0130914
  45. volume_ema_diff : -0.371086
  46. volume_ema1 : 66344.632799234
  47. volume_ema2 : 105490.88525609
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 4.67924
  52. ema21 : 4.67444
  53. ema50 : 4.66957
  54. ema100 : 4.66962
  55. price_ema9_diff : 0.00165743
  56. ema9_ema21_diff : 0.00102658
  57. ema21_ema50_diff : 0.00104277
  58. price_ema100_diff : 0.00372189
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0118959
  62. ema_slope_21 : 0.00977135
  63. ema_slope_50 : 0.00678255
  64. ema_slope_100 : 0.0027425
  65. rsi : 0.659804
  66. adx : 0.141614
  67. kc_percentage : 1.07932
  68. kc_width_percentage : 0.00451564
  69. volume_ema_diff : -0.00370484
  70. volume_ema1 : 24223.603820631
  71. volume_ema2 : 24313.682331551
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115006
  77. 5m_price_ema100_diff:
    0.00366934
  78. 5m_price:
    115428
  79. 5m_correlation_with_coin:
    0.69882
  80. btc_indicators
  81. 15m_ema100:
    115224
  82. 15m_price_ema100_diff:
    0.00196937
  83. 15m_price:
    115451
  84. 15m_correlation_with_coin:
    0.010454
  85. btc_indicators
  86. 1H_ema100:
    115280
  87. 1H_price_ema100_diff:
    0.00127816
  88. 1H_price:
    115428
  89. 1H_correlation_with_coin:
    -0.132521
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
17:57:16
15 Sep 2025
18:30:00
32 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.687 4.6959 4.6691 2.01 2.551
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 4.687
  • Stop Loss: 4.6959
  • Take Profit: 4.6691

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.6959 - 4.687 = 0.0088999999999997

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.687 - 4.6691 = 0.0179

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0179 / 0.0088999999999997 = 2.0112

📌 Position Size

Amount Margin Quantity Leverage
4195.2201 100 895.0758 41.95
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 0.0088999999999997

Taille de position = 8 / 0.0088999999999997 = 898.88

Taille de position USD = 898.88 x 4.687 = 4213.05

Donc, tu peux acheter 898.88 avec un stoploss a 4.6959

Avec un position size USD de 4213.05$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 898.88 x 0.0088999999999997 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 898.88 x 0.0179 = 16.09

Si Take Profit atteint, tu gagneras 16.09$

Résumé

  • Taille de position 898.88
  • Taille de position USD 4213.05
  • Perte potentielle 8
  • Gain potentiel 16.09
  • Risk-Reward Ratio 2.0112

📌 Peformances

TP % Target TP $ Target
0.38 % 16.02 $
SL % Target SL $ Target
0.19 % 7.97 $
PNL PNL %
16.02 $ 0.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0853 % 44.92 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 4.6692
            [stop_loss] => 4.6959
            [rr_ratio] => 2
            [closed_at] => 2025-09-15 18:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 4.66475
            [stop_loss] => 4.6959
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-15 18:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 4.6603
            [stop_loss] => 4.6959
            [rr_ratio] => 3
            [closed_at] => 2025-09-15 18:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 4.65585
            [stop_loss] => 4.6959
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-15 20:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 4.6514
            [stop_loss] => 4.6959
            [rr_ratio] => 4
            [closed_at] => 2025-09-15 20:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 4.64695
            [stop_loss] => 4.6959
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-15 22:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.029
            [max_drawdown] => 0.0039999999999996
            [rr_ratio] => 7.25
            [high] => 4.69100000
            [low] => 4.65800000
            [mfe_pct] => 0.62
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 7.25
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T17:57:16-04:00
            [end_at] => 2025-09-15T19:57:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.077
            [max_drawdown] => 0.0039999999999996
            [rr_ratio] => 19.25
            [high] => 4.69100000
            [low] => 4.61000000
            [mfe_pct] => 1.64
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 19.25
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T17:57:16-04:00
            [end_at] => 2025-09-16T00:57:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.68900000
            [high_after] => 4.69100000
            [low_before] => 4.64900000
            [low_after] => 4.64400000
            [is_new_high] => 
            [is_new_low] => 1
        )

)