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Trade

buy - VIC

Status
win
2025-07-30 14:55:09
1 hour
PNL
3.27
Entry: 0.2724
Last: 0.28130000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.5788
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
1 0.49
Prediction 3 Probability
0 0.52
ML Trade Score: 110
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.003970556447
Details
  1. score: 2.02
  2. 1H
  3. ema9 - 0.274951
  4. ema21 - 0.270103
  5. ema50 - 0.263618
  6. ema100 - 0.259023
  7. price_ema9_diff - -0.0092789
  8. ema9_ema21_diff - 0.0179494
  9. ema21_ema50_diff - 0.0245967
  10. price_ema100_diff - 0.0516426
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.527009
  14. adx - 0.370359
  15. kc_percentage - 0.531012
  16. kc_width_percentage - 0.227002
  17. volume_ema_diff - 0.536135
  18. volume_ema1 - 1560846.9144269
  19. volume_ema2 - 1016086.9953116
    20. ¸
  20. 15m
  21. ema9 - 0.280788
  22. ema21 - 0.279449
  23. ema50 - 0.274981
  24. ema100 - 0.267957
  25. price_ema9_diff - -0.0298761
  26. ema9_ema21_diff - 0.00479311
  27. ema21_ema50_diff - 0.0162499
  28. price_ema100_diff - 0.0165781
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.465692
  32. adx - 0.294416
  33. kc_percentage - 0.245636
  34. kc_width_percentage - 0.103688
  35. volume_ema_diff - -0.459411
  36. volume_ema1 - 230273.74309013
  37. volume_ema2 - 425968.97412243
    38. ¸
  38. 5m
  39. ema9 - 0.278712
  40. ema21 - 0.280604
  41. ema50 - 0.280025
  42. ema100 - 0.278462
  43. price_ema9_diff - -0.0226492
  44. ema9_ema21_diff - -0.00674072
  45. ema21_ema50_diff - 0.0020655
  46. price_ema100_diff - -0.0217727
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.331526
  50. adx - 0.253858
  51. kc_percentage - -0.0243564
  52. kc_width_percentage - 0.0571455
  53. volume_ema_diff - -0.459865
  54. volume_ema1 - 64145.15858072
  55. volume_ema2 - 118757.84679863
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 117802
  59. 5m_price_ema100_diff: -0.00915493
  60. 5m_price: 116724
  61. 5m_correlation_with_coin: 0.10096
  62. btc_indicators
  63. 15m_ema100: 117794
  64. 15m_price_ema100_diff: -0.00801083
  65. 15m_price: 116851
  66. btc_indicators
  67. 1H_ema100: 118140
  68. 1H_price_ema100_diff: -0.0119931
  69. 1H_price: 116724
    70. ¸

Long Trade on VIC

The 30 Jul 2025 at 14:55:09

With 1343.2206 VIC at 0.2724$ per unit.

Position size of 365.8933 $

Take profit at 0.2813 (3.27 %) and Stop Loss at 0.2664 (2.2 %)

That's a 1.48 RR Trade

📌 Similar Trades

Similar Trade Score: -52.04 %

Symbol Start at Seach Score Trade Score Trades Count
TSTBSC 2025-08-17 00:35:48 0.8227 -35 2
MERL 2025-07-02 22:18:45 0.8112 -100 2
HOME 2025-08-08 00:02:08 0.8142 -100 2
DOLO 2025-05-01 14:40:11 0.8038 -13.33 3
RENDER 2025-04-01 19:14:24 0.8143 50 1
BABY 2025-07-21 12:40:26 0.7913 -100 1
NEAR 2025-04-01 19:14:24 0.7901 30 1
ONDO 2025-06-19 07:49:22 0.7859 -100 1
PAXG 2025-06-13 22:46:40 0.7837 -100 1

📌 Time Data

Start at Closed at Duration
30 Jul 2025
14:55:09		 30 Jul 2025
16:15:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2724 0.2664 0.2813 1.48 0.2424
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 0.2724
  • Stop Loss: 0.2664
  • Take Profit: 0.2813

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2664 - 0.2724 = -0.0059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2724 - 0.2813 = -0.0089

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0089 / -0.0059999999999999 = 1.4833

📌 Position Size

Amount Margin Quantity Leverage
365.8933 100 1343.2206 3.66
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 -0.0059999999999999

Taille de position = 8 / -0.0059999999999999 = -1333.33

Taille de position USD = -1333.33 x 0.2724 = -363.2

Donc, tu peux acheter -1333.33 avec un stoploss a 0.2664

Avec un position size USD de -363.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1333.33 x -0.0059999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1333.33 x -0.0089 = 11.87

Si Take Profit atteint, tu gagneras 11.87$

Résumé

  • Taille de position -1333.33
  • Taille de position USD -363.2
  • Perte potentielle 8
  • Gain potentiel 11.87
  • Risk-Reward Ratio 1.4833

📌 Peformances

TP % Target TP $ Target
3.27 % 11.95 $
SL % Target SL $ Target
2.2 % 8.06 $
PNL PNL %
11.95 $ 3.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8443 % 38.33 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2844
            [stop_loss] => 0.2664
            [rr_ratio] => 2
            [closed_at] => 2025-07-30 16:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2874
            [stop_loss] => 0.2664
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-30 16:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2904
            [stop_loss] => 0.2664
            [rr_ratio] => 3
            [closed_at] => 2025-07-30 16:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2934
            [stop_loss] => 0.2664
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-30 16:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2964
            [stop_loss] => 0.2664
            [rr_ratio] => 4
            [closed_at] => 2025-07-30 17:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2994
            [stop_loss] => 0.2664
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-30 17:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.3024
            [stop_loss] => 0.2664
            [rr_ratio] => 5
            [closed_at] => 2025-07-30 19:55:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.3054
            [stop_loss] => 0.2664
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-30 19:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0217
            [max_drawdown] => 0.0023
            [rr_ratio] => 9.43
            [high] => 0.29410000
            [low] => 0.27010000
            [mfe_pct] => 7.97
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 9.43
            [candles_analyzed] => 24
            [start_at] => 2025-07-30T14:55:09-04:00
            [end_at] => 2025-07-30T16:55:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0353
            [max_drawdown] => 0.0023
            [rr_ratio] => 15.35
            [high] => 0.30770000
            [low] => 0.27010000
            [mfe_pct] => 12.96
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 15.35
            [candles_analyzed] => 84
            [start_at] => 2025-07-30T14:55:09-04:00
            [end_at] => 2025-07-30T21:55:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29150000
            [high_after] => 0.30770000
            [low_before] => 0.26950000
            [low_after] => 0.27010000
            [is_new_high] => 1
            [is_new_low] => 
        )

)