Short Trade on VIRTUAL 27 Sep 2025 at 18:08:18

Take profit at 1.0273 (0.47 %) and Stop Loss at 1.0345 (0.23 %)

Short Trade on VIRTUAL

The 27 Sep 2025 at 18:08:18

With 3354.0586 VIRTUAL at 1.0321$ per unit.

Position size of 3461.7239 $

Take profit at 1.0273 (0.47 %) and Stop Loss at 1.0345 (0.23 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 6.78
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.58
Prediction 2 Probability
0 0.58
Prediction 3 Probability
1 0.63
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.637772

15m : 0.013752

1H : 0.040921

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 0.001590113326
Details
  1. score: 1.23
  2. 1H
  3. ema9 : 1.03058
  4. ema21 : 1.03266
  5. ema50 : 1.03532
  6. ema100 : 1.04516
  7. price_ema9_diff : 0.00147021
  8. ema9_ema21_diff : -0.00201095
  9. ema21_ema50_diff : -0.00257165
  10. price_ema100_diff : -0.0124999
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0435915
  14. ema_slope_21 : -0.020476
  15. ema_slope_50 : -0.0153403
  16. ema_slope_100 : -0.0272635
  17. rsi : 0.493229
  18. adx : 0.169506
  19. kc_percentage : 0.485512
  20. kc_width_percentage : 0.033523
  21. volume_ema_diff : -0.696928
  22. volume_ema1 : 164065.80483413
  23. volume_ema2 : 541343.530715
  24. chop : 64.5252
  25. regime : range_high
  26. ¸
  27. 15m
  28. ema9 : 1.02764
  29. ema21 : 1.02807
  30. ema50 : 1.03113
  31. ema100 : 1.03468
  32. price_ema9_diff : 0.00433592
  33. ema9_ema21_diff : -0.000423646
  34. ema21_ema50_diff : -0.00295831
  35. price_ema100_diff : -0.0024967
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.00462787
  39. ema_slope_21 : -0.0178382
  40. ema_slope_50 : -0.021367
  41. ema_slope_100 : -0.0172727
  42. rsi : 0.561805
  43. adx : 0.148632
  44. kc_percentage : 0.804775
  45. kc_width_percentage : 0.0131023
  46. volume_ema_diff : -0.416614
  47. volume_ema1 : 47772.314358691
  48. volume_ema2 : 81888.07114742
  49. chop : 63.6247
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 1.02902
  54. ema21 : 1.02746
  55. ema50 : 1.02756
  56. ema100 : 1.0298
  57. price_ema9_diff : 0.00298863
  58. ema9_ema21_diff : 0.00151386
  59. ema21_ema50_diff : -9.59693E-5
  60. price_ema100_diff : 0.00222432
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0350555
  64. ema_slope_21 : 0.0156914
  65. ema_slope_50 : 0.00169461
  66. ema_slope_100 : -0.00454753
  67. rsi : 0.695374
  68. adx : 0.2014
  69. kc_percentage : 1.23133
  70. kc_width_percentage : 0.00605334
  71. volume_ema_diff : 0.525751
  72. volume_ema1 : 24615.20350806
  73. volume_ema2 : 16133.164764671
  74. chop : 29.1539
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109338
  80. 5m_price_ema100_diff:
    0.000946808
  81. 5m_price:
    109442
  82. 5m_correlation_with_coin:
    0.637772
  83. btc_indicators
  84. 15m_ema100:
    109360
  85. 15m_price_ema100_diff:
    0.000748427
  86. 15m_price:
    109442
  87. 15m_correlation_with_coin:
    0.013752
  88. btc_indicators
  89. 1H_ema100:
    110263
  90. 1H_price_ema100_diff:
    -0.00744896
  91. 1H_price:
    109442
  92. 1H_correlation_with_coin:
    0.040921
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
27 Sep 2025
18:08:18
27 Sep 2025
18:10:00
1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0321 1.0345 1.0273 2 0.7099
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 1.0321
  • Stop Loss: 1.0345
  • Take Profit: 1.0273

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0345 - 1.0321 = 0.0024

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0321 - 1.0273 = 0.0047999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0047999999999999 / 0.0024 = 2

📌 Position Size

Amount Margin Quantity Leverage
3461.7239 100 3354.0586 34.62
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 0.0024

Taille de position = 8 / 0.0024 = 3333.33

Taille de position USD = 3333.33 x 1.0321 = 3440.33

Donc, tu peux acheter 3333.33 avec un stoploss a 1.0345

Avec un position size USD de 3440.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3333.33 x 0.0024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3333.33 x 0.0047999999999999 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 3333.33
  • Taille de position USD 3440.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.47 % 16.1 $
SL % Target SL $ Target
0.23 % 8.05 $
PNL PNL %
-8.05 $ -0.23
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2325 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.0273
            [entry_price] => 1.0321
            [stop_loss] => 1.03474
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-27 18:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.0273
            [entry_price] => 1.0321
            [stop_loss] => 1.03498
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-27 18:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.0273
            [entry_price] => 1.0321
            [stop_loss] => 1.03522
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-27 18:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.0273
            [entry_price] => 1.0321
            [stop_loss] => 1.0357
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-27 18:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0138
            [max_drawdown] => 0.0052000000000001
            [rr_ratio] => 2.65
            [high] => 1.03730000
            [low] => 1.01830000
            [mfe_pct] => 1.34
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 2.65
            [candles_analyzed] => 24
            [start_at] => 2025-09-27T18:08:18-04:00
            [end_at] => 2025-09-27T20:08:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0231
            [max_drawdown] => 0.0052000000000001
            [rr_ratio] => 4.44
            [high] => 1.03730000
            [low] => 1.00900000
            [mfe_pct] => 2.24
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 4.44
            [candles_analyzed] => 84
            [start_at] => 2025-09-27T18:08:18-04:00
            [end_at] => 2025-09-28T01:08:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.03330000
            [high_after] => 1.03730000
            [low_before] => 1.02250000
            [low_after] => 1.00900000
            [is_new_high] => 
            [is_new_low] => 1
        )

)