Short Trade on ICP 04 Sep 2025 at 18:29:56

Take profit at 4.7175 (0.43 %) and Stop Loss at 4.7483 (0.22 %)

Short Trade on ICP

The 04 Sep 2025 at 18:29:56

With 778.6494 ICP at 4.738$ per unit.

Position size of 3689.241 $

Take profit at 4.7175 (0.43 %) and Stop Loss at 4.7483 (0.22 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.96
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.61
Prediction 3 Probability
1 0.6
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_low

5m_regime : range_low

BTC Correlation Score

5m : 0.431952

15m : -0.158307

1H : -0.075886

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.006849466746
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 4.73549
  4. ema21 : 4.76998
  5. ema50 : 4.8
  6. ema100 : 4.80451
  7. price_ema9_diff : 0.0005281
  8. ema9_ema21_diff : -0.00723009
  9. ema21_ema50_diff : -0.00625385
  10. price_ema100_diff : -0.0138451
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.14932
  14. ema_slope_21 : -0.121431
  15. ema_slope_50 : -0.0615641
  16. ema_slope_100 : -0.0283531
  17. rsi : 0.418338
  18. adx : 0.290422
  19. kc_percentage : 0.300931
  20. kc_width_percentage : 0.0314855
  21. volume_ema_diff : -0.457157
  22. volume_ema1 : 137548.15925075
  23. volume_ema2 : 253385.23349932
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 4.72207
  28. ema21 : 4.72343
  29. ema50 : 4.74866
  30. ema100 : 4.78548
  31. price_ema9_diff : 0.00337299
  32. ema9_ema21_diff : -0.00028946
  33. ema21_ema50_diff : -0.00531275
  34. price_ema100_diff : -0.0099226
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00668768
  38. ema_slope_21 : -0.0207949
  39. ema_slope_50 : -0.0354708
  40. ema_slope_100 : -0.033205
  41. rsi : 0.519346
  42. adx : 0.31145
  43. kc_percentage : 0.737756
  44. kc_width_percentage : 0.0134541
  45. volume_ema_diff : -0.655237
  46. volume_ema1 : 20181.500289398
  47. volume_ema2 : 58537.441464594
  48. regime : bear_low
  49. ¸
  50. 5m
  51. ema9 : 4.73051
  52. ema21 : 4.72369
  53. ema50 : 4.72045
  54. ema100 : 4.72613
  55. price_ema9_diff : 0.0015819
  56. ema9_ema21_diff : 0.00144421
  57. ema21_ema50_diff : 0.000685756
  58. price_ema100_diff : 0.00251058
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0324715
  62. ema_slope_21 : 0.0210541
  63. ema_slope_50 : 0.00804406
  64. ema_slope_100 : 0.000558946
  65. rsi : 0.643911
  66. adx : 0.167246
  67. kc_percentage : 1.02511
  68. kc_width_percentage : 0.00559175
  69. volume_ema_diff : -0.119563
  70. volume_ema1 : 10842.511821262
  71. volume_ema2 : 12314.934438323
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    110045
  77. 5m_price_ema100_diff:
    0.00669837
  78. 5m_price:
    110782
  79. 5m_correlation_with_coin:
    0.431952
  80. btc_indicators
  81. 15m_ema100:
    110577
  82. 15m_price_ema100_diff:
    -0.000842127
  83. 15m_price:
    110484
  84. 15m_correlation_with_coin:
    -0.158307
  85. btc_indicators
  86. 1H_ema100:
    110321
  87. 1H_price_ema100_diff:
    0.00417537
  88. 1H_price:
    110782
  89. 1H_correlation_with_coin:
    -0.075886
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
04 Sep 2025
18:29:56
04 Sep 2025
18:55:00
25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.738 4.7483 4.7175 1.99 2.367
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 4.738
  • Stop Loss: 4.7483
  • Take Profit: 4.7175

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.7483 - 4.738 = 0.0103

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.738 - 4.7175 = 0.0205

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0205 / 0.0103 = 1.9903

📌 Position Size

Amount Margin Quantity Leverage
3689.241 100 778.6494 36.89
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 0.0103

Taille de position = 8 / 0.0103 = 776.7

Taille de position USD = 776.7 x 4.738 = 3680

Donc, tu peux acheter 776.7 avec un stoploss a 4.7483

Avec un position size USD de 3680$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 776.7 x 0.0103 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 776.7 x 0.0205 = 15.92

Si Take Profit atteint, tu gagneras 15.92$

Résumé

  • Taille de position 776.7
  • Taille de position USD 3680
  • Perte potentielle 8
  • Gain potentiel 15.92
  • Risk-Reward Ratio 1.9903

📌 Peformances

TP % Target TP $ Target
0.43 % 15.96 $
SL % Target SL $ Target
0.22 % 8.02 $
PNL PNL %
-8.02 $ -0.22
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4221 % 194.16 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.7175
            [entry_price] => 4.738
            [stop_loss] => 4.74933
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.7175
            [entry_price] => 4.738
            [stop_loss] => 4.75036
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.7175
            [entry_price] => 4.738
            [stop_loss] => 4.75139
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.7175
            [entry_price] => 4.738
            [stop_loss] => 4.75345
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-04 18:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.046
            [max_drawdown] => 0.023
            [rr_ratio] => 2
            [high] => 4.76100000
            [low] => 4.69200000
            [mfe_pct] => 0.97
            [mae_pct] => 0.49
            [mfe_mae_ratio] => 2
            [candles_analyzed] => 24
            [start_at] => 2025-09-04T18:29:56-04:00
            [end_at] => 2025-09-04T20:29:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.052
            [max_drawdown] => 0.023
            [rr_ratio] => 2.26
            [high] => 4.76100000
            [low] => 4.68600000
            [mfe_pct] => 1.1
            [mae_pct] => 0.49
            [mfe_mae_ratio] => 2.26
            [candles_analyzed] => 84
            [start_at] => 2025-09-04T18:29:56-04:00
            [end_at] => 2025-09-05T01:29:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.73900000
            [high_after] => 4.76100000
            [low_before] => 4.67800000
            [low_after] => 4.68600000
            [is_new_high] => 
            [is_new_low] => 
        )

)