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Trade

buy - ICP

Status
loss
2025-06-10 03:06:51
3 minutes
PNL
-0.88
Entry: 6.012
Last: 5.95900000

Results

Status:
loss
Trade Type:
buy
Prediction Score: 1.5344
Prediction 1 Accuracy
Strong Trade
0.6
Prediction 2 Accuracy
1 0.41
ML Trade Score: -100
ML Pullback Score: 0.63

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.03528857917
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 6.05104
  4. ema21 - 5.97334
  5. ema50 - 5.76343
  6. ema100 - 5.52307
  7. price_ema9_diff - -0.00645298
  8. ema9_ema21_diff - 0.0130077
  9. ema21_ema50_diff - 0.0364213
  10. price_ema100_diff - 0.0885247
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.56398
  14. kc_percentage - 0.577562
  15. kc_width_percentage - 0.0668846
  16. volume_ema_diff - -0.233115
    17. ¸
  17. 15m
  18. ema9 - 6.08415
  19. ema21 - 6.0891
  20. ema50 - 6.04612
  21. ema100 - 5.9622
  22. price_ema9_diff - -0.0118593
  23. ema9_ema21_diff - -0.000812852
  24. ema21_ema50_diff - 0.00710871
  25. price_ema100_diff - 0.00835144
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.42261
  29. kc_percentage - 0.194002
  30. kc_width_percentage - 0.0422926
  31. volume_ema_diff - -0.010487
    32. ¸
  32. 5m
  33. ema9 - 6.06396
  34. ema21 - 6.08808
  35. ema50 - 6.09657
  36. ema100 - 6.09031
  37. price_ema9_diff - -0.00856998
  38. ema9_ema21_diff - -0.00396075
  39. ema21_ema50_diff - -0.00139295
  40. price_ema100_diff - -0.0128589
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.339655
  44. kc_percentage - -0.0252353
  45. kc_width_percentage - 0.0237515
  46. volume_ema_diff - 0.45217
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 109592
  50. 5m_price_ema100_diff: -0.00204381
  51. 5m_price: 109368
  52. 5m_correlation_with_coin: 0.510628
  53. btc_indicators
  54. 15m_ema100: 108462
  55. 15m_price_ema100_diff: 0.00835314
  56. 15m_price: 109368
  57. btc_indicators
  58. 1H_ema100: 106251
  59. 1H_price_ema100_diff: 0.0293324
  60. 1H_price: 109368
    61. ¸

Long Trade on ICP

The 10 Jun 2025 at 03:06:51

With 151.1348 ICP at 6.012$ per unit.

Position size of 908.6226 $

Take profit at 6.0914 (1.32 %) and Stop Loss at 5.9591 (0.88 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -56.67 %

Symbol Start at Seach Score Trade Score Trades Count
SOON 2025-06-27 21:49:21 0.9315 -100 3
PENDLE 2025-06-20 00:05:01 0.9293 -100 5
RSR 2025-07-17 12:32:40 0.9236 -100 1
BNB 2025-06-04 07:40:15 0.9213 -100 2
LDO 2025-06-28 22:29:27 0.9205 30 1
SIGN 2025-05-09 05:11:50 0.9205 30 1

📌 Time Data

Start at Closed at Duration
10 Jun 2025
03:06:51		 10 Jun 2025
03:10:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.012 5.9591 6.0914 1.5 5.341
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 6.012
  • Stop Loss: 5.9591
  • Take Profit: 6.0914

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.9591 - 6.012 = -0.052899999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.012 - 6.0914 = -0.079400000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.079400000000001 / -0.052899999999999 = 1.5009

📌 Position Size

Amount Margin Quantity Leverage
908.6226 100 151.1348 9.09
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 -0.052899999999999

Taille de position = 8 / -0.052899999999999 = -151.23

Taille de position USD = -151.23 x 6.012 = -909.19

Donc, tu peux acheter -151.23 avec un stoploss a 5.9591

Avec un position size USD de -909.19$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -151.23 x -0.052899999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -151.23 x -0.079400000000001 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position -151.23
  • Taille de position USD -909.19
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5009

📌 Peformances

TP % Target TP $ Target
1.32 % 12 $
SL % Target SL $ Target
0.88 % 8 $
PNL PNL %
-8.01 $ -0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3307 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 6.091
            [entry_price] => 6.012
            [stop_loss] => 5.9537
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-06-10 03:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 6.091
            [entry_price] => 6.012
            [stop_loss] => 5.9484
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-06-10 03:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 6.091
            [entry_price] => 6.012
            [stop_loss] => 5.9431
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-06-10 03:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 6.091
            [entry_price] => 6.012
            [stop_loss] => 5.9325
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-06-10 03:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0059999999999993
            [max_drawdown] => 0.126
            [rr_ratio] => -0.05
            [high] => 6.00600000
            [low] => 5.88600000
            [mfe_pct] => -0.1
            [mae_pct] => 2.1
            [mfe_mae_ratio] => -0.05
            [candles_analyzed] => 24
            [start_at] => 2025-06-10T03:06:51-04:00
            [end_at] => 2025-06-10T05:06:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.141
            [max_drawdown] => 0.127
            [rr_ratio] => 1.11
            [high] => 6.15300000
            [low] => 5.88500000
            [mfe_pct] => 2.35
            [mae_pct] => 2.11
            [mfe_mae_ratio] => 1.11
            [candles_analyzed] => 72
            [start_at] => 2025-06-10T03:06:51-04:00
            [end_at] => 2025-06-10T09:06:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.22600000
            [high_after] => 6.15300000
            [low_before] => 5.96600000
            [low_after] => 5.88500000
            [is_new_high] => 
            [is_new_low] => 
        )

)