Short Trade on ICNT 17 Jul 2025 at 10:28:47

Take profit at 0.2323 (1.94 %) and Stop Loss at 0.24 (1.31 %)

Short Trade on ICNT

The 17 Jul 2025 at 10:28:47

With 2582.2173 ICNT at 0.2369$ per unit.

Position size of 611.7273 $

Take profit at 0.2323 (1.94 %) and Stop Loss at 0.24 (1.31 %)

That's a 1.48 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 50
ML Pullback Score: 4.64
Prediction Score: 0.85
Prediction 1 Probability
Strong Trade
0.53
Prediction 2 Probability
0 0.37
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.293162

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.002065408409
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.237332
  4. ema21 : 0.246465
  5. ema50 : 0.261371
  6. ema100 : 0.278014
  7. price_ema9_diff : -0.00182257
  8. ema9_ema21_diff : -0.0370539
  9. ema21_ema50_diff : -0.0570327
  10. price_ema100_diff : -0.147886
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.338834
  14. kc_percentage : 0.154391
  15. kc_width_percentage : 0.108667
  16. volume_ema_diff : 0.254602
  17. volume_ema1 : 245884.94410556
  18. volume_ema2 : 195986.40693364
  19. ¸
  20. 15m
  21. ema9 : 0.232204
  22. ema21 : 0.233746
  23. ema50 : 0.240455
  24. ema100 : 0.248531
  25. price_ema9_diff : 0.0202228
  26. ema9_ema21_diff : -0.00659905
  27. ema21_ema50_diff : -0.0279016
  28. price_ema100_diff : -0.0467994
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.457317
  32. kc_percentage : 0.744763
  33. kc_width_percentage : 0.0580089
  34. volume_ema_diff : -0.210062
  35. volume_ema1 : 48529.966166205
  36. volume_ema2 : 61435.211824381
  37. ¸
  38. 5m
  39. ema9 : 0.234127
  40. ema21 : 0.232579
  41. ema50 : 0.23289
  42. ema100 : 0.235334
  43. price_ema9_diff : 0.0118423
  44. ema9_ema21_diff : 0.00665387
  45. ema21_ema50_diff : -0.00133509
  46. price_ema100_diff : 0.00665328
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.654832
  50. kc_percentage : 1.01527
  51. kc_width_percentage : 0.0348223
  52. volume_ema_diff : -0.0128698
  53. volume_ema1 : 24669.45033404
  54. volume_ema2 : 24991.081601064
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    118222
  59. 5m_price_ema100_diff:
    0.00341102
  60. 5m_price:
    118625
  61. 5m_correlation_with_coin:
    0.293162
  62. btc_indicators
  63. 15m_ema100:
    118438
  64. 15m_price_ema100_diff:
    -0.000705372
  65. 15m_price:
    118355
  66. btc_indicators
  67. 1H_ema100:
    118475
  68. 1H_price_ema100_diff:
    0.0012611
  69. 1H_price:
    118625
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Jul 2025
10:28:47
17 Jul 2025
11:05:00
36 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2369 0.24 0.2323 1.48 0.397
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 0.2369
  • Stop Loss: 0.24
  • Take Profit: 0.2323

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.24 - 0.2369 = 0.0031

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2369 - 0.2323 = 0.0046

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0046 / 0.0031 = 1.4839

📌 Position Size

Amount Margin Quantity Leverage
611.7273 100 2582.2173 6.12
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 0.0031

Taille de position = 8 / 0.0031 = 2580.65

Taille de position USD = 2580.65 x 0.2369 = 611.36

Donc, tu peux acheter 2580.65 avec un stoploss a 0.24

Avec un position size USD de 611.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2580.65 x 0.0031 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2580.65 x 0.0046 = 11.87

Si Take Profit atteint, tu gagneras 11.87$

Résumé

  • Taille de position 2580.65
  • Taille de position USD 611.36
  • Perte potentielle 8
  • Gain potentiel 11.87
  • Risk-Reward Ratio 1.4839

📌 Peformances

TP % Target TP $ Target
1.94 % 11.88 $
SL % Target SL $ Target
1.31 % 8 $
PNL PNL %
11.88 $ 1.94
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6332 % 48.39 % 5

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 0.2307
            [stop_loss] => 0.24
            [rr_ratio] => 2
            [closed_at] => 2025-07-17 11:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.22915
            [stop_loss] => 0.24
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-17 12:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2276
            [stop_loss] => 0.24
            [rr_ratio] => 3
            [closed_at] => 2025-07-17 13:10:00
            [result] => loss
        )

    [3.5] => Array
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            [take_profit] => 0.22605
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            [rr_ratio] => 3.5
            [closed_at] => 2025-07-17 13:10:00
            [result] => loss
        )

    [4] => Array
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            [take_profit] => 0.2245
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            [rr_ratio] => 4
            [closed_at] => 2025-07-17 13:10:00
            [result] => loss
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    [4.5] => Array
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            [take_profit] => 0.22295
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            [closed_at] => 2025-07-17 13:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2214
            [stop_loss] => 0.24
            [rr_ratio] => 5
            [closed_at] => 2025-07-17 13:10:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 0.21985
            [stop_loss] => 0.24
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-17 13:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2183
            [stop_loss] => 0.24
            [rr_ratio] => 6
            [closed_at] => 2025-07-17 13:10:00
            [result] => loss
        )

    [6.5] => Array
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            [take_profit] => 0.21675
            [stop_loss] => 0.24
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-17 13:10:00
            [result] => loss
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    [7] => Array
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            [take_profit] => 0.2152
            [stop_loss] => 0.24
            [rr_ratio] => 7
            [closed_at] => 2025-07-17 13:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
        (
            [max_gain] => 0.0083
            [max_drawdown] => 0.0015
            [rr_ratio] => 5.53
            [high] => 0.23840000
            [low] => 0.22860000
            [mfe_pct] => 3.5
            [mae_pct] => 0.63
            [mfe_mae_ratio] => 5.53
            [candles_analyzed] => 24
            [start_at] => 2025-07-17T10:28:47-04:00
            [end_at] => 2025-07-17T12:28:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.009
            [max_drawdown] => 0.0085
            [rr_ratio] => 1.06
            [high] => 0.24540000
            [low] => 0.22790000
            [mfe_pct] => 3.8
            [mae_pct] => 3.59
            [mfe_mae_ratio] => 1.06
            [candles_analyzed] => 72
            [start_at] => 2025-07-17T10:28:47-04:00
            [end_at] => 2025-07-17T16:28:47-04:00
        )

    [breakout] => Array
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            [high_before] => 0.23710000
            [high_after] => 0.24540000
            [low_before] => 0.22510000
            [low_after] => 0.22790000
            [is_new_high] => 
            [is_new_low] => 
        )

)