Trade

buy - ICP

Status
win
2025-07-02 19:54:33
10 minutes
PNL
0.48
Entry: 5.015
Last: 5.03900000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.6889
Prediction 1 Accuracy
Weak Trade
0.65
Prediction 2 Accuracy
0 0.43
ML Trade Score: 40

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.01084318289
Details
  1. score: 2.1
  2. 1H
  3. ema9 - 5.00808
  4. ema21 - 4.93239
  5. ema50 - 4.875
  6. ema100 - 4.85866
  7. price_ema9_diff - 0.00138053
  8. ema9_ema21_diff - 0.0153449
  9. ema21_ema50_diff - 0.0117737
  10. price_ema100_diff - 0.032177
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.635217
  14. kc_percentage - 0.897524
  15. kc_width_percentage - 0.0391081
  16. volume_ema_diff - 0.689887
  17. volume_ema1 - 321445.85316726
  18. volume_ema2 - 190217.3140814
  19. ¸
  20. 15m
  21. ema9 - 5.04179
  22. ema21 - 5.03655
  23. ema50 - 4.98048
  24. ema100 - 4.89988
  25. price_ema9_diff - -0.00531433
  26. ema9_ema21_diff - 0.00104099
  27. ema21_ema50_diff - 0.0112565
  28. price_ema100_diff - 0.0234938
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.484295
  32. kc_percentage - 0.238589
  33. kc_width_percentage - 0.0174815
  34. volume_ema_diff - 0.182029
  35. volume_ema1 - 82637.554921629
  36. volume_ema2 - 69911.571039661
  37. ¸
  38. 5m
  39. ema9 - 5.02806
  40. ema21 - 5.04061
  41. ema50 - 5.04295
  42. ema100 - 5.02448
  43. price_ema9_diff - -0.00259804
  44. ema9_ema21_diff - -0.00248964
  45. ema21_ema50_diff - -0.00046517
  46. price_ema100_diff - -0.00188748
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.352263
  50. kc_percentage - -0.100848
  51. kc_width_percentage - 0.00828701
  52. volume_ema_diff - -0.153243
  53. volume_ema1 - 22843.574597487
  54. volume_ema2 - 26977.721996024
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 109059
  59. 5m_price_ema100_diff: -0.00273778
  60. 5m_price: 108760
  61. 5m_correlation_with_coin: 0.733844
  62. btc_indicators
  63. 15m_ema100: 107888
  64. 15m_price_ema100_diff: 0.00815079
  65. 15m_price: 108767
  66. btc_indicators
  67. 1H_ema100: 107356
  68. 1H_price_ema100_diff: 0.0130777
  69. 1H_price: 108760
  70. ¸

Long Trade on ICP

The 02 Jul 2025 at 19:54:33

With 491.9 ICP at 5.015$ per unit.

Position size of 2467 $

Take profit at 5.039 (0.48 %) and Stop Loss at 4.999 (0.32 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 1.48 %

Symbol Start at Seach Score Trade Score Trades Count
ETC 2025-07-02 19:52:25 0.9941 40 1
LTC 2025-07-02 19:46:13 0.9919 -35 2
DOT 2025-07-02 19:53:06 0.9923 30 1
GALA 2025-07-02 19:51:15 0.9896 35 2
RUNE 2025-07-02 19:56:11 0.9894 -56.67 3
LDO 2025-07-02 19:59:37 0.9908 30 1
DOGE 2025-07-02 19:53:25 0.9889 30 1
SUI 2025-07-02 19:48:16 0.9886 -100 1
SHIB 2025-07-02 19:56:02 0.9884 40 1

📌 Time Data

Start at Closed at Duration
02 Jul 2025
19:54:33
02 Jul 2025
20:05:00
10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.015 4.999 5.039 1.5 4.711
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 5.015
  • Stop Loss: 4.999
  • Take Profit: 5.039

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.999 - 5.015 = -0.016

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.015 - 5.039 = -0.024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.024 / -0.016 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2467 100 491.9 24.67
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 -0.016

Taille de position = 8 / -0.016 = -500

Taille de position USD = -500 x 5.015 = -2507.5

Donc, tu peux acheter -500 avec un stoploss a 4.999

Avec un position size USD de -2507.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -500 x -0.016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -500 x -0.024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -500
  • Taille de position USD -2507.5
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.48 % 12 $
SL % Target SL $ Target
0.32 % 7.9 $
PNL PNL %
12 $ 0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0399 % 12.51 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 5.047
            [stop_loss] => 4.999
            [rr_ratio] => 2
            [closed_at] => 2025-07-02 21:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 5.055
            [stop_loss] => 4.999
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-02 23:10:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 5.063
            [stop_loss] => 4.999
            [rr_ratio] => 3
            [closed_at] => 2025-07-02 23:10:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 5.071
            [stop_loss] => 4.999
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-02 23:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 5.079
            [stop_loss] => 4.999
            [rr_ratio] => 4
            [closed_at] => 2025-07-02 23:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 5.087
            [stop_loss] => 4.999
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-02 23:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 5.095
            [stop_loss] => 4.999
            [rr_ratio] => 5
            [closed_at] => 2025-07-02 23:10:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 5.103
            [stop_loss] => 4.999
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-02 23:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 5.111
            [stop_loss] => 4.999
            [rr_ratio] => 6
            [closed_at] => 2025-07-02 23:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 5.119
            [stop_loss] => 4.999
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-02 23:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 5.127
            [stop_loss] => 4.999
            [rr_ratio] => 7
            [closed_at] => 2025-07-02 23:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)