Short Trade on USELESS 15 Sep 2025 at 18:14:42

Take profit at 0.2276 (2.69 %) and Stop Loss at 0.2371 (1.37 %)

Short Trade on USELESS

The 15 Sep 2025 at 18:14:42

With 2520.1477 USELESS at 0.2339$ per unit.

Position size of 589.4626 $

Take profit at 0.2276 (2.69 %) and Stop Loss at 0.2371 (1.37 %)

That's a 1.97 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 2.92
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
0 0.71
Prediction 3 Probability
0 0.64
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_high

BTC Correlation Score

5m : 0.463818

15m : -0.017478

1H : 0.073107

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.002116278044
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.227615
  4. ema21 : 0.23502
  5. ema50 : 0.25033
  6. ema100 : 0.260326
  7. price_ema9_diff : 0.0276119
  8. ema9_ema21_diff : -0.0315079
  9. ema21_ema50_diff : -0.0611616
  10. price_ema100_diff : -0.101513
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.654693
  14. ema_slope_21 : -0.70185
  15. ema_slope_50 : -0.497058
  16. ema_slope_100 : -0.30011
  17. rsi : 0.448239
  18. adx : 0.495339
  19. kc_percentage : 0.486413
  20. kc_width_percentage : 0.125321
  21. volume_ema_diff : -0.2639
  22. volume_ema1 : 405408.03332141
  23. volume_ema2 : 550752.00857296
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.228956
  28. ema21 : 0.22549
  29. ema50 : 0.228298
  30. ema100 : 0.236507
  31. price_ema9_diff : 0.0215915
  32. ema9_ema21_diff : 0.0153711
  33. ema21_ema50_diff : -0.0122992
  34. price_ema100_diff : -0.0110253
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.468812
  38. ema_slope_21 : 0.211356
  39. ema_slope_50 : -0.0247687
  40. ema_slope_100 : -0.0912646
  41. rsi : 0.669901
  42. adx : 0.379915
  43. kc_percentage : 1.05799
  44. kc_width_percentage : 0.0636409
  45. volume_ema_diff : -0.462014
  46. volume_ema1 : 76583.375806789
  47. volume_ema2 : 142352.18609267
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 0.231758
  52. ema21 : 0.229355
  53. ema50 : 0.225573
  54. ema100 : 0.224079
  55. price_ema9_diff : 0.00924126
  56. ema9_ema21_diff : 0.0104752
  57. ema21_ema50_diff : 0.0167675
  58. price_ema100_diff : 0.043825
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.181389
  62. ema_slope_21 : 0.183538
  63. ema_slope_50 : 0.135866
  64. ema_slope_100 : 0.0741461
  65. rsi : 0.687058
  66. adx : 0.547225
  67. kc_percentage : 1.01224
  68. kc_width_percentage : 0.0363221
  69. volume_ema_diff : -0.491336
  70. volume_ema1 : 21129.042502203
  71. volume_ema2 : 41538.355526305
  72. regime : bull_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115053
  77. 5m_price_ema100_diff:
    0.00231873
  78. 5m_price:
    115320
  79. 5m_correlation_with_coin:
    0.463818
  80. btc_indicators
  81. 15m_ema100:
    115241
  82. 15m_price_ema100_diff:
    0.000685193
  83. 15m_price:
    115320
  84. 15m_correlation_with_coin:
    -0.017478
  85. btc_indicators
  86. 1H_ema100:
    115297
  87. 1H_price_ema100_diff:
    0.000196311
  88. 1H_price:
    115320
  89. 1H_correlation_with_coin:
    0.073107
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
18:14:42
15 Sep 2025
20:00:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2339 0.2371 0.2276 1.97 0.04567
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 0.2339
  • Stop Loss: 0.2371
  • Take Profit: 0.2276

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2371 - 0.2339 = 0.0032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2339 - 0.2276 = 0.0063

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0063 / 0.0032 = 1.9688

📌 Position Size

Amount Margin Quantity Leverage
589.4626 100 2520.1477 5.89
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 0.0032

Taille de position = 8 / 0.0032 = 2500

Taille de position USD = 2500 x 0.2339 = 584.75

Donc, tu peux acheter 2500 avec un stoploss a 0.2371

Avec un position size USD de 584.75$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2500 x 0.0032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2500 x 0.0063 = 15.75

Si Take Profit atteint, tu gagneras 15.75$

Résumé

  • Taille de position 2500
  • Taille de position USD 584.75
  • Perte potentielle 8
  • Gain potentiel 15.75
  • Risk-Reward Ratio 1.9688

📌 Peformances

TP % Target TP $ Target
2.69 % 15.88 $
SL % Target SL $ Target
1.37 % 8.06 $
PNL PNL %
-8.06 $ -1.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4109 % 103.13 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2276
            [entry_price] => 0.2339
            [stop_loss] => 0.23742
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 20:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2276
            [entry_price] => 0.2339
            [stop_loss] => 0.23774
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 20:45:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.2276
            [entry_price] => 0.2339
            [stop_loss] => 0.23806
            [rr_ratio] => 1.51
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 20:45:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.2276
            [entry_price] => 0.2339
            [stop_loss] => 0.2387
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 20:45:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0036
            [max_drawdown] => 0.0036
            [rr_ratio] => 1
            [high] => 0.23750000
            [low] => 0.23030000
            [mfe_pct] => 1.54
            [mae_pct] => 1.54
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T18:14:42-04:00
            [end_at] => 2025-09-15T20:14:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0127
            [max_drawdown] => 0.0036
            [rr_ratio] => 3.53
            [high] => 0.23750000
            [low] => 0.22120000
            [mfe_pct] => 5.43
            [mae_pct] => 1.54
            [mfe_mae_ratio] => 3.53
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T18:14:42-04:00
            [end_at] => 2025-09-16T01:14:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.23470000
            [high_after] => 0.23750000
            [low_before] => 0.21260000
            [low_after] => 0.22290000
            [is_new_high] => 
            [is_new_low] => 
        )

)