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Trade

buy - ICP

Status
win
2025-06-10 21:31:04
33 minutes
PNL
0.81
Entry: 6.061
Last: 6.11000000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.08
Prediction 1 Accuracy
Weak Trade
0.68
Prediction 2 Accuracy
0 0.59
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.02163234868
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 6.09596
  4. ema21 - 6.05787
  5. ema50 - 5.91647
  6. ema100 - 5.68346
  7. price_ema9_diff - -0.0057364
  8. ema9_ema21_diff - 0.00628767
  9. ema21_ema50_diff - 0.0239008
  10. price_ema100_diff - 0.0664271
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.521419
  14. kc_percentage - 0.498485
  15. kc_width_percentage - 0.0594056
  16. volume_ema_diff - -0.361787
    17. ¸
  17. 15m
  18. ema9 - 6.1029
  19. ema21 - 6.10999
  20. ema50 - 6.08739
  21. ema100 - 6.06671
  22. price_ema9_diff - -0.00686691
  23. ema9_ema21_diff - -0.00115924
  24. ema21_ema50_diff - 0.0037122
  25. price_ema100_diff - -0.000942405
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.397222
  29. kc_percentage - 0.171855
  30. kc_width_percentage - 0.0248906
  31. volume_ema_diff - -0.333497
    32. ¸
  32. 5m
  33. ema9 - 6.08168
  34. ema21 - 6.10533
  35. ema50 - 6.11601
  36. ema100 - 6.10199
  37. price_ema9_diff - -0.00340144
  38. ema9_ema21_diff - -0.00387268
  39. ema21_ema50_diff - -0.00174713
  40. price_ema100_diff - -0.00671753
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.361804
  44. kc_percentage - -0.0112274
  45. kc_width_percentage - 0.0138872
  46. volume_ema_diff - -0.181672
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 109610
  50. 5m_price_ema100_diff: 0.000504811
  51. 5m_price: 109666
  52. 5m_correlation_with_coin: 0.495797
  53. btc_indicators
  54. 15m_ema100: 109522
  55. 15m_price_ema100_diff: 0.00130801
  56. 15m_price: 109666
  57. btc_indicators
  58. 1H_ema100: 107382
  59. 1H_price_ema100_diff: 0.0212638
  60. 1H_price: 109666
    61. ¸

Long Trade on ICP

The 10 Jun 2025 at 21:31:04

With 246.5 ICP at 6.061$ per unit.

Position size of 1494 $

Take profit at 6.11 (0.81 %) and Stop Loss at 6.029 (0.53 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -27.22 %

Symbol Start at Seach Score Trade Score Trades Count
SEI 2025-06-10 21:39:06 0.9449 35 4
ZRO 2025-06-10 21:31:06 0.9448 -35 2
AVAX 2025-06-10 21:31:24 0.952 30 1
FLOKI 2025-06-10 21:43:21 0.9437 -100 1
W 2025-06-10 21:34:03 0.9405 -100 1
LTC 2025-06-10 21:40:28 0.9354 -100 1
CAKE 2025-06-10 21:35:38 0.9334 -35 2
APT 2025-06-10 21:42:13 0.9317 30 1
GALA 2025-06-10 21:41:49 0.9299 30 1

📌 Time Data

Start at Closed at Duration
10 Jun 2025
21:31:04		 10 Jun 2025
22:05:00		 33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.061 6.029 6.11 1.5 4.754
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 6.061
  • Stop Loss: 6.029
  • Take Profit: 6.11

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 6.029 - 6.061 = -0.032

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.061 - 6.11 = -0.049

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.049 / -0.032 = 1.5313

📌 Position Size

Amount Margin Quantity Leverage
1494 100 246.5 14.94
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 -0.032

Taille de position = 8 / -0.032 = -250

Taille de position USD = -250 x 6.061 = -1515.25

Donc, tu peux acheter -250 avec un stoploss a 6.029

Avec un position size USD de -1515.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -250 x -0.032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -250 x -0.049 = 12.25

Si Take Profit atteint, tu gagneras 12.25$

Résumé

  • Taille de position -250
  • Taille de position USD -1515.25
  • Perte potentielle 8
  • Gain potentiel 12.25
  • Risk-Reward Ratio 1.5313

📌 Peformances

TP % Target TP $ Target
0.81 % 12 $
SL % Target SL $ Target
0.53 % 7.9 $
PNL PNL %
12 $ 0.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0165 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 6.125
            [stop_loss] => 6.029
            [rr_ratio] => 2
            [closed_at] => 2025-06-10 22:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 6.141
            [stop_loss] => 6.029
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-10 22:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 6.157
            [stop_loss] => 6.029
            [rr_ratio] => 3
            [closed_at] => 2025-06-10 23:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 6.173
            [stop_loss] => 6.029
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-10 23:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 6.189
            [stop_loss] => 6.029
            [rr_ratio] => 4
            [closed_at] => 2025-06-10 23:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 6.205
            [stop_loss] => 6.029
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-11 00:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 6.221
            [stop_loss] => 6.029
            [rr_ratio] => 5
            [closed_at] => 2025-06-11 00:35:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 6.237
            [stop_loss] => 6.029
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-11 00:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 6.253
            [stop_loss] => 6.029
            [rr_ratio] => 6
            [closed_at] => 2025-06-11 00:40:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 6.269
            [stop_loss] => 6.029
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-11 03:10:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 6.285
            [stop_loss] => 6.029
            [rr_ratio] => 7
            [closed_at] => 2025-06-11 03:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)