Long Trade on RAY 10 Jul 2025 at 00:10:52

Take profit at 2.4626 (0.58 %) and Stop Loss at 2.4389 (0.39 %)

Long Trade on RAY

The 10 Jul 2025 at 00:10:52

With 843.5818 RAY at 2.4484$ per unit.

Position size of 2065.4256 $

Take profit at 2.4626 (0.58 %) and Stop Loss at 2.4389 (0.39 %)

That's a 1.49 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 60
ML Pullback Score: 4.14
Prediction Score: 1.5472
Prediction 1 Probability
Strong Trade
0.54
Prediction 2 Probability
1 0.43
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.480921

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.006322248242
Details
  1. score: 2.17
  2. 1H
  3. ema9 : 2.4662
  4. ema21 : 2.44286
  5. ema50 : 2.3652
  6. ema100 : 2.28689
  7. price_ema9_diff : -0.00721944
  8. ema9_ema21_diff : 0.00955277
  9. ema21_ema50_diff : 0.0328374
  10. price_ema100_diff : 0.070622
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.545635
  14. kc_percentage : 0.519006
  15. kc_width_percentage : 0.0587818
  16. volume_ema_diff : -0.548445
  17. volume_ema1 : 309436.39441328
  18. volume_ema2 : 685268.77649857
  19. ¸
  20. 15m
  21. ema9 : 2.46493
  22. ema21 : 2.47192
  23. ema50 : 2.46803
  24. ema100 : 2.44318
  25. price_ema9_diff : -0.00670768
  26. ema9_ema21_diff : -0.00282969
  27. ema21_ema50_diff : 0.00157698
  28. price_ema100_diff : 0.00213274
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.378297
  32. kc_percentage : 0.0898512
  33. kc_width_percentage : 0.0230889
  34. volume_ema_diff : -0.554662
  35. volume_ema1 : 71504.413466599
  36. volume_ema2 : 160562.44551474
  37. ¸
  38. 5m
  39. ema9 : 2.45765
  40. ema21 : 2.46452
  41. ema50 : 2.47214
  42. ema100 : 2.48105
  43. price_ema9_diff : -0.00376627
  44. ema9_ema21_diff : -0.00278711
  45. ema21_ema50_diff : -0.00308293
  46. price_ema100_diff : -0.0131636
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.316706
  50. kc_percentage : -0.174073
  51. kc_width_percentage : 0.00955402
  52. volume_ema_diff : -0.393114
  53. volume_ema1 : 19096.449829997
  54. volume_ema2 : 31466.324311318
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    111190
  59. 5m_price_ema100_diff:
    -0.00243207
  60. 5m_price:
    110919
  61. 5m_correlation_with_coin:
    0.480921
  62. btc_indicators
  63. 15m_ema100:
    109999
  64. 15m_price_ema100_diff:
    0.00836562
  65. 15m_price:
    110919
  66. btc_indicators
  67. 1H_ema100:
    109014
  68. 1H_price_ema100_diff:
    0.0174798
  69. 1H_price:
    110919
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Jul 2025
00:10:52
10 Jul 2025
00:35:00
24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.4484 2.4389 2.4626 1.49 0.6005
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 2.4484
  • Stop Loss: 2.4389
  • Take Profit: 2.4626

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.4389 - 2.4484 = -0.0095000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.4484 - 2.4626 = -0.0142

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0142 / -0.0095000000000001 = 1.4947

📌 Position Size

Amount Margin Quantity Leverage
2065.4256 100 843.5818 20.65
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 -0.0095000000000001

Taille de position = 8 / -0.0095000000000001 = -842.11

Taille de position USD = -842.11 x 2.4484 = -2061.82

Donc, tu peux acheter -842.11 avec un stoploss a 2.4389

Avec un position size USD de -2061.82$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -842.11 x -0.0095000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -842.11 x -0.0142 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

  • Taille de position -842.11
  • Taille de position USD -2061.82
  • Perte potentielle 8
  • Gain potentiel 11.96
  • Risk-Reward Ratio 1.4947

📌 Peformances

TP % Target TP $ Target
0.58 % 11.98 $
SL % Target SL $ Target
0.39 % 8.01 $
PNL PNL %
12.66 $ 0.61
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1471 % 40.02 % 2

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 2.466
            [stop_loss] => 2.439
            [rr_ratio] => 2
            [closed_at] => 2025-07-10 00:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.4705
            [stop_loss] => 2.439
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-10 00:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.475
            [stop_loss] => 2.439
            [rr_ratio] => 3
            [closed_at] => 2025-07-10 00:45:00
            [result] => win
        )

    [3.5] => Array
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            [take_profit] => 2.4795
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            [rr_ratio] => 3.5
            [closed_at] => 2025-07-10 02:50:00
            [result] => loss
        )

    [4] => Array
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            [take_profit] => 2.484
            [stop_loss] => 2.439
            [rr_ratio] => 4
            [closed_at] => 2025-07-10 02:50:00
            [result] => loss
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    [4.5] => Array
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            [take_profit] => 2.4885
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            [rr_ratio] => 4.5
            [closed_at] => 2025-07-10 02:50:00
            [result] => loss
        )

    [5] => Array
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            [take_profit] => 2.493
            [stop_loss] => 2.439
            [rr_ratio] => 5
            [closed_at] => 2025-07-10 02:50:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 2.4975
            [stop_loss] => 2.439
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-10 02:50:00
            [result] => loss
        )

    [6] => Array
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            [take_profit] => 2.502
            [stop_loss] => 2.439
            [rr_ratio] => 6
            [closed_at] => 2025-07-10 02:50:00
            [result] => loss
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    [6.5] => Array
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            [take_profit] => 2.5065
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            [rr_ratio] => 6.5
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            [result] => loss
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    [7] => Array
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            [stop_loss] => 2.439
            [rr_ratio] => 7
            [closed_at] => 2025-07-10 02:50:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
        (
            [max_gain] => 0.0283
            [max_drawdown] => 0.0093000000000001
            [rr_ratio] => 3.04
            [high] => 2.47670000
            [low] => 2.43910000
            [mfe_pct] => 1.16
            [mae_pct] => 0.38
            [mfe_mae_ratio] => 3.04
            [candles_analyzed] => 24
            [start_at] => 2025-07-10T00:10:52-04:00
            [end_at] => 2025-07-10T02:10:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0307
            [max_drawdown] => 0.0108
            [rr_ratio] => 2.84
            [high] => 2.47910000
            [low] => 2.43760000
            [mfe_pct] => 1.25
            [mae_pct] => 0.44
            [mfe_mae_ratio] => 2.84
            [candles_analyzed] => 72
            [start_at] => 2025-07-10T00:10:52-04:00
            [end_at] => 2025-07-10T06:10:52-04:00
        )

    [breakout] => Array
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            [high_before] => 2.49670000
            [high_after] => 2.47910000
            [low_before] => 2.44530000
            [low_after] => 2.43760000
            [is_new_high] => 
            [is_new_low] => 
        )

)