Short Trade on TURBO 23 Sep 2025 at 20:30:27

Take profit at 0.003515 (0.87 %) and Stop Loss at 0.003562 (0.45 %)

Short Trade on TURBO

The 23 Sep 2025 at 20:30:27

With 508181.6959 TURBO at 0.003546$ per unit.

Position size of 1802.0123 $

Take profit at 0.003515 (0.87 %) and Stop Loss at 0.003562 (0.45 %)

That's a 1.94 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.17
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.76
Prediction 3 Probability
1 0.68
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.743597

15m : -0.069177

1H : -0.011484

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 1.049493395E-5
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 0.00352975
  4. ema21 : 0.00354808
  5. ema50 : 0.0036352
  6. ema100 : 0.00377035
  7. price_ema9_diff : 0.00460206
  8. ema9_ema21_diff : -0.00516684
  9. ema21_ema50_diff : -0.0239655
  10. price_ema100_diff : -0.0595061
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0975539
  14. ema_slope_21 : -0.0916915
  15. ema_slope_50 : -0.143765
  16. ema_slope_100 : -0.140227
  17. rsi : 0.476171
  18. adx : 0.380667
  19. kc_percentage : 0.499529
  20. kc_width_percentage : 0.0554341
  21. volume_ema_diff : -0.523993
  22. volume_ema1 : 286783.68338643
  23. volume_ema2 : 602478.80268802
  24. chop : 64.9492
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.00352401
  29. ema21 : 0.00352371
  30. ema50 : 0.00353524
  31. ema100 : 0.00355158
  32. price_ema9_diff : 0.00623877
  33. ema9_ema21_diff : 8.58034E-5
  34. ema21_ema50_diff : -0.00326221
  35. price_ema100_diff : -0.00157324
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.00322015
  39. ema_slope_21 : -0.010737
  40. ema_slope_50 : -0.0204527
  41. ema_slope_100 : -0.0193747
  42. rsi : 0.552031
  43. adx : 0.119791
  44. kc_percentage : 0.763723
  45. kc_width_percentage : 0.0241348
  46. volume_ema_diff : -0.661668
  47. volume_ema1 : 37595.710235904
  48. volume_ema2 : 111120.80880045
  49. chop : 62.7375
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.00352758
  54. ema21 : 0.00352011
  55. ema50 : 0.00352039
  56. ema100 : 0.00352801
  57. price_ema9_diff : 0.0052198
  58. ema9_ema21_diff : 0.002123
  59. ema21_ema50_diff : -7.87105E-5
  60. price_ema100_diff : 0.00509897
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0482202
  64. ema_slope_21 : 0.0110751
  65. ema_slope_50 : -0.00158273
  66. ema_slope_100 : -0.00624213
  67. rsi : 0.633206
  68. adx : 0.183457
  69. kc_percentage : 1.11092
  70. kc_width_percentage : 0.0118566
  71. volume_ema_diff : -0.441495
  72. volume_ema1 : 14160.570848102
  73. volume_ema2 : 25354.432917849
  74. chop : 31.7542
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112102
  80. 5m_price_ema100_diff:
    0.00135287
  81. 5m_price:
    112253
  82. 5m_correlation_with_coin:
    0.743597
  83. btc_indicators
  84. 15m_ema100:
    112371
  85. 15m_price_ema100_diff:
    -0.00104565
  86. 15m_price:
    112253
  87. 15m_correlation_with_coin:
    -0.069177
  88. btc_indicators
  89. 1H_ema100:
    113705
  90. 1H_price_ema100_diff:
    -0.0127672
  91. 1H_price:
    112253
  92. 1H_correlation_with_coin:
    -0.011484
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
23 Sep 2025
20:30:27
23 Sep 2025
21:35:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.003546 0.003562 0.003515 1.94 0.001012
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 0.003546
  • Stop Loss: 0.003562
  • Take Profit: 0.003515

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.003562 - 0.003546 = 1.6E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.003546 - 0.003515 = 3.1E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 3.1E-5 / 1.6E-5 = 1.9375

📌 Position Size

Amount Margin Quantity Leverage
1802.0123 100 508181.6959 18.02
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 1.6E-5

Taille de position = 8 / 1.6E-5 = 500000

Taille de position USD = 500000 x 0.003546 = 1773

Donc, tu peux acheter 500000 avec un stoploss a 0.003562

Avec un position size USD de 1773$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 500000 x 1.6E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 500000 x 3.1E-5 = 15.5

Si Take Profit atteint, tu gagneras 15.5$

Résumé

  • Taille de position 500000
  • Taille de position USD 1773
  • Perte potentielle 8
  • Gain potentiel 15.5
  • Risk-Reward Ratio 1.9375

📌 Peformances

TP % Target TP $ Target
0.87 % 15.75 $
SL % Target SL $ Target
0.45 % 8.13 $
PNL PNL %
-8.13 $ -0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5076 % 112.5 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.003515
            [entry_price] => 0.003546
            [stop_loss] => 0.0035636
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-23 21:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.003515
            [entry_price] => 0.003546
            [stop_loss] => 0.0035652
            [rr_ratio] => 1.61
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-23 21:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.003515
            [entry_price] => 0.003546
            [stop_loss] => 0.0035668
            [rr_ratio] => 1.49
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-23 21:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.003515
            [entry_price] => 0.003546
            [stop_loss] => 0.00357
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-23 21:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.1E-5
            [max_drawdown] => 4.2E-5
            [rr_ratio] => 0.5
            [high] => 0.00358800
            [low] => 0.00352500
            [mfe_pct] => 0.59
            [mae_pct] => 1.18
            [mfe_mae_ratio] => 0.5
            [candles_analyzed] => 24
            [start_at] => 2025-09-23T20:30:27-04:00
            [end_at] => 2025-09-23T22:30:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000124
            [max_drawdown] => 4.2E-5
            [rr_ratio] => 2.95
            [high] => 0.00358800
            [low] => 0.00342200
            [mfe_pct] => 3.5
            [mae_pct] => 1.18
            [mfe_mae_ratio] => 2.95
            [candles_analyzed] => 84
            [start_at] => 2025-09-23T20:30:27-04:00
            [end_at] => 2025-09-24T03:30:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00355000
            [high_after] => 0.00358800
            [low_before] => 0.00348700
            [low_after] => 0.00342200
            [is_new_high] => 
            [is_new_low] => 1
        )

)