Short Trade on RAY 16 Sep 2025 at 11:58:10

Take profit at 3.2155 (0.96 %) and Stop Loss at 3.2621 (0.48 %)

Short Trade on RAY

The 16 Sep 2025 at 11:58:10

With 515.0044 RAY at 3.2466$ per unit.

Position size of 1672.0133 $

Take profit at 3.2155 (0.96 %) and Stop Loss at 3.2621 (0.48 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.46
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.88
Prediction 2 Probability
0 0.62
Prediction 3 Probability
0 0.73
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.628336

15m : 0.104065

1H : 0.049582

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0103558984
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 3.23333
  4. ema21 : 3.25127
  5. ema50 : 3.31842
  6. ema100 : 3.41269
  7. price_ema9_diff : 0.00410136
  8. ema9_ema21_diff : -0.00551793
  9. ema21_ema50_diff : -0.0202351
  10. price_ema100_diff : -0.0486704
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0654248
  14. ema_slope_21 : -0.0879392
  15. ema_slope_50 : -0.123797
  16. ema_slope_100 : -0.114097
  17. rsi : 0.455682
  18. adx : 0.416056
  19. kc_percentage : 0.481244
  20. kc_width_percentage : 0.0458512
  21. volume_ema_diff : 0.263499
  22. volume_ema1 : 564728.48478653
  23. volume_ema2 : 446955.86491081
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 3.22212
  28. ema21 : 3.22387
  29. ema50 : 3.23362
  30. ema100 : 3.23814
  31. price_ema9_diff : 0.00759661
  32. ema9_ema21_diff : -0.000544171
  33. ema21_ema50_diff : -0.00301387
  34. price_ema100_diff : 0.0026118
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0168
  38. ema_slope_21 : -0.0307518
  39. ema_slope_50 : -0.0258619
  40. ema_slope_100 : -0.0147181
  41. rsi : 0.537416
  42. adx : 0.21734
  43. kc_percentage : 0.799379
  44. kc_width_percentage : 0.0237834
  45. volume_ema_diff : -0.17508
  46. volume_ema1 : 92931.377706827
  47. volume_ema2 : 112655.14664987
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 3.23167
  52. ema21 : 3.22158
  53. ema50 : 3.22026
  54. ema100 : 3.22666
  55. price_ema9_diff : 0.00461686
  56. ema9_ema21_diff : 0.00313411
  57. ema21_ema50_diff : 0.000408045
  58. price_ema100_diff : 0.00617856
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0813576
  62. ema_slope_21 : 0.0454681
  63. ema_slope_50 : 0.0117161
  64. ema_slope_100 : 9.26515E-5
  65. rsi : 0.669221
  66. adx : 0.210775
  67. kc_percentage : 1.11995
  68. kc_width_percentage : 0.0122125
  69. volume_ema_diff : -0.617182
  70. volume_ema1 : 18490.761123708
  71. volume_ema2 : 48301.788621475
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115337
  77. 5m_price_ema100_diff:
    0.00276251
  78. 5m_price:
    115656
  79. 5m_correlation_with_coin:
    0.628336
  80. btc_indicators
  81. 15m_ema100:
    115200
  82. 15m_price_ema100_diff:
    0.00199245
  83. 15m_price:
    115430
  84. 15m_correlation_with_coin:
    0.104065
  85. btc_indicators
  86. 1H_ema100:
    115384
  87. 1H_price_ema100_diff:
    0.00235218
  88. 1H_price:
    115656
  89. 1H_correlation_with_coin:
    0.049582
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
11:58:10
16 Sep 2025
12:00:00
1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.2466 3.2621 3.2155 2.01 0.6019
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 3.2466
  • Stop Loss: 3.2621
  • Take Profit: 3.2155

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.2621 - 3.2466 = 0.0155

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.2466 - 3.2155 = 0.0311

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0311 / 0.0155 = 2.0065

📌 Position Size

Amount Margin Quantity Leverage
1672.0133 100 515.0044 16.72
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 0.0155

Taille de position = 8 / 0.0155 = 516.13

Taille de position USD = 516.13 x 3.2466 = 1675.67

Donc, tu peux acheter 516.13 avec un stoploss a 3.2621

Avec un position size USD de 1675.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 516.13 x 0.0155 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 516.13 x 0.0311 = 16.05

Si Take Profit atteint, tu gagneras 16.05$

Résumé

  • Taille de position 516.13
  • Taille de position USD 1675.67
  • Perte potentielle 8
  • Gain potentiel 16.05
  • Risk-Reward Ratio 2.0065

📌 Peformances

TP % Target TP $ Target
0.96 % 16.02 $
SL % Target SL $ Target
0.48 % 7.98 $
PNL PNL %
-7.98 $ -0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5513 % 115.48 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.2155
            [entry_price] => 3.2466
            [stop_loss] => 3.26365
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 12:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.2155
            [entry_price] => 3.2466
            [stop_loss] => 3.2652
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 13:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.2155
            [entry_price] => 3.2466
            [stop_loss] => 3.26675
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 13:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.2155
            [entry_price] => 3.2466
            [stop_loss] => 3.26985
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 13:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0179
            [max_drawdown] => 0.06
            [rr_ratio] => 0.3
            [high] => 3.30660000
            [low] => 3.22870000
            [mfe_pct] => 0.55
            [mae_pct] => 1.85
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T11:58:10-04:00
            [end_at] => 2025-09-16T13:58:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0218
            [max_drawdown] => 0.06
            [rr_ratio] => 0.36
            [high] => 3.30660000
            [low] => 3.22480000
            [mfe_pct] => 0.67
            [mae_pct] => 1.85
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T11:58:10-04:00
            [end_at] => 2025-09-16T18:58:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.24800000
            [high_after] => 3.30660000
            [low_before] => 3.16070000
            [low_after] => 3.22480000
            [is_new_high] => 
            [is_new_low] => 
        )

)