Short Trade on RAY 07 Sep 2025 at 17:03:49

Take profit at 3.1805 (0.64 %) and Stop Loss at 3.2113 (0.32 %)

Short Trade on RAY

The 07 Sep 2025 at 17:03:49

With 780.3426 RAY at 3.201$ per unit.

Position size of 2497.8765 $

Take profit at 3.1805 (0.64 %) and Stop Loss at 3.2113 (0.32 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.45
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.93
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.51
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_medium

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.661355

15m : -0.050853

1H : -0.106014

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.39
  4. atr: 0.006834605214
Details
  1. score: 1.39
  2. 1H
  3. ema9 : 3.19325
  4. ema21 : 3.20465
  5. ema50 : 3.23221
  6. ema100 : 3.27546
  7. price_ema9_diff : 0.00242442
  8. ema9_ema21_diff : -0.00355516
  9. ema21_ema50_diff : -0.00852823
  10. price_ema100_diff : -0.0227353
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.058567
  14. ema_slope_21 : -0.0498807
  15. ema_slope_50 : -0.0536056
  16. ema_slope_100 : -0.0522321
  17. rsi : 0.471783
  18. adx : 0.193423
  19. kc_percentage : 0.469996
  20. kc_width_percentage : 0.0285461
  21. volume_ema_diff : 0.0662499
  22. volume_ema1 : 276481.05452114
  23. volume_ema2 : 259302.28808557
  24. regime : bear_medium
  25. ¸
  26. 15m
  27. ema9 : 3.18096
  28. ema21 : 3.18195
  29. ema50 : 3.19354
  30. ema100 : 3.19983
  31. price_ema9_diff : 0.00629871
  32. ema9_ema21_diff : -0.000311958
  33. ema21_ema50_diff : -0.00362799
  34. price_ema100_diff : 0.000362576
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00516628
  38. ema_slope_21 : -0.0333332
  39. ema_slope_50 : -0.0316728
  40. ema_slope_100 : -0.0189189
  41. rsi : 0.588198
  42. adx : 0.254945
  43. kc_percentage : 0.875254
  44. kc_width_percentage : 0.0162263
  45. volume_ema_diff : -0.252
  46. volume_ema1 : 62700.453340854
  47. volume_ema2 : 83824.222746119
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 3.18407
  52. ema21 : 3.17653
  53. ema50 : 3.17731
  54. ema100 : 3.18704
  55. price_ema9_diff : 0.00531487
  56. ema9_ema21_diff : 0.00237368
  57. ema21_ema50_diff : -0.000244945
  58. price_ema100_diff : 0.00437885
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0401878
  62. ema_slope_21 : 0.0230086
  63. ema_slope_50 : 0.00210434
  64. ema_slope_100 : -0.00647253
  65. rsi : 0.748767
  66. adx : 0.319534
  67. kc_percentage : 1.38759
  68. kc_width_percentage : 0.0084999
  69. volume_ema_diff : 0.199367
  70. volume_ema1 : 38424.251175491
  71. volume_ema2 : 32037.105293834
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111099
  77. 5m_price_ema100_diff:
    0.00132444
  78. 5m_price:
    111246
  79. 5m_correlation_with_coin:
    0.661355
  80. btc_indicators
  81. 15m_ema100:
    110819
  82. 15m_price_ema100_diff:
    0.00384773
  83. 15m_price:
    111246
  84. 15m_correlation_with_coin:
    -0.050853
  85. btc_indicators
  86. 1H_ema100:
    111037
  87. 1H_price_ema100_diff:
    0.001883
  88. 1H_price:
    111246
  89. 1H_correlation_with_coin:
    -0.106014
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
07 Sep 2025
17:03:49
07 Sep 2025
18:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.201 3.2113 3.1805 1.99 0.6115
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 3.201
  • Stop Loss: 3.2113
  • Take Profit: 3.1805

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.2113 - 3.201 = 0.0103

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.201 - 3.1805 = 0.0205

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0205 / 0.0103 = 1.9903

📌 Position Size

Amount Margin Quantity Leverage
2497.8765 100 780.3426 24.98
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 0.0103

Taille de position = 8 / 0.0103 = 776.7

Taille de position USD = 776.7 x 3.201 = 2486.22

Donc, tu peux acheter 776.7 avec un stoploss a 3.2113

Avec un position size USD de 2486.22$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 776.7 x 0.0103 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 776.7 x 0.0205 = 15.92

Si Take Profit atteint, tu gagneras 15.92$

Résumé

  • Taille de position 776.7
  • Taille de position USD 2486.22
  • Perte potentielle 8
  • Gain potentiel 15.92
  • Risk-Reward Ratio 1.9903

📌 Peformances

TP % Target TP $ Target
0.64 % 16 $
SL % Target SL $ Target
0.32 % 8.04 $
PNL PNL %
-8.04 $ -0.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3249 % 100.96 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.1805
            [entry_price] => 3.201
            [stop_loss] => 3.21233
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-07 18:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.1805
            [entry_price] => 3.201
            [stop_loss] => 3.21336
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-07 18:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.1805
            [entry_price] => 3.201
            [stop_loss] => 3.21439
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-07 18:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.1805
            [entry_price] => 3.201
            [stop_loss] => 3.21645
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-07 18:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0157
            [max_drawdown] => 0.0362
            [rr_ratio] => 0.43
            [high] => 3.23720000
            [low] => 3.18530000
            [mfe_pct] => 0.49
            [mae_pct] => 1.13
            [mfe_mae_ratio] => 0.43
            [candles_analyzed] => 24
            [start_at] => 2025-09-07T17:03:49-04:00
            [end_at] => 2025-09-07T19:03:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0157
            [max_drawdown] => 0.0909
            [rr_ratio] => 0.17
            [high] => 3.29190000
            [low] => 3.18530000
            [mfe_pct] => 0.49
            [mae_pct] => 2.84
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 84
            [start_at] => 2025-09-07T17:03:49-04:00
            [end_at] => 2025-09-08T00:03:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.20290000
            [high_after] => 3.25700000
            [low_before] => 3.15000000
            [low_after] => 3.18530000
            [is_new_high] => 
            [is_new_low] => 
        )

)