Short Trade on TRX 22 Sep 2025 at 07:26:25

Take profit at 0.3371 (0.5 %) and Stop Loss at 0.3396 (0.24 %)

Short Trade on TRX

The 22 Sep 2025 at 07:26:25

With 9528.7003 TRX at 0.3388$ per unit.

Position size of 3228.3237 $

Take profit at 0.3371 (0.5 %) and Stop Loss at 0.3396 (0.24 %)

That's a 2.12 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.14
Prediction Score: 5
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
1 0.49
Prediction 3 Probability
1 0.58
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : bear_low

1H_regime : bear_medium

15m_regime : bear_low

5m_regime : bull_low_confirmed

BTC Correlation Score

5m : 0.736219

15m : 0.043213

1H : 0.136618

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.71
  4. atr: 0.0005597125714
Details
  1. score: 1.71
  2. 1H
  3. ema9 : 0.337177
  4. ema21 : 0.339258
  5. ema50 : 0.342032
  6. ema100 : 0.343734
  7. price_ema9_diff : 0.00481253
  8. ema9_ema21_diff : -0.00613587
  9. ema21_ema50_diff : -0.00810891
  10. price_ema100_diff : -0.0143568
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.15301
  14. ema_slope_21 : -0.117681
  15. ema_slope_50 : -0.0722973
  16. ema_slope_100 : -0.0424292
  17. rsi : 0.45232
  18. adx : 0.512922
  19. kc_percentage : 0.458386
  20. kc_width_percentage : 0.0218398
  21. volume_ema_diff : 0.200072
  22. volume_ema1 : 1018523.115691
  23. volume_ema2 : 848717.94610817
  24. chop : 25.055
  25. regime : bear_medium
  26. ¸
  27. 15m
  28. ema9 : 0.335457
  29. ema21 : 0.335792
  30. ema50 : 0.337588
  31. ema100 : 0.339612
  32. price_ema9_diff : 0.00996509
  33. ema9_ema21_diff : -0.000999633
  34. ema21_ema50_diff : -0.00532059
  35. price_ema100_diff : -0.00239295
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.00145272
  39. ema_slope_21 : -0.0283123
  40. ema_slope_50 : -0.0367585
  41. ema_slope_100 : -0.0297556
  42. rsi : 0.483846
  43. adx : 0.351059
  44. kc_percentage : 1.47155
  45. kc_width_percentage : 0.00930304
  46. volume_ema_diff : -0.541085
  47. volume_ema1 : 119569.78622715
  48. volume_ema2 : 260549.42837439
  49. chop : 65.7209
  50. regime : bear_low
  51. ¸
  52. 5m
  53. ema9 : 0.336516
  54. ema21 : 0.335826
  55. ema50 : 0.33568
  56. ema100 : 0.336426
  57. price_ema9_diff : 0.00678558
  58. ema9_ema21_diff : 0.00205612
  59. ema21_ema50_diff : 0.000434139
  60. price_ema100_diff : 0.00705618
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0353297
  64. ema_slope_21 : 0.0218036
  65. ema_slope_50 : 0.00595309
  66. ema_slope_100 : -0.00279098
  67. rsi : 0.775142
  68. adx : 0.389189
  69. kc_percentage : 1.71212
  70. kc_width_percentage : 0.00716124
  71. volume_ema_diff : 2.11048
  72. volume_ema1 : 314403.97133797
  73. volume_ema2 : 101078.88697604
  74. chop : 17.1015
  75. regime : bull_low_confirmed
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113055
  80. 5m_price_ema100_diff:
    -0.00233511
  81. 5m_price:
    112791
  82. 5m_correlation_with_coin:
    0.736219
  83. btc_indicators
  84. 15m_ema100:
    114182
  85. 15m_price_ema100_diff:
    -0.0123233
  86. 15m_price:
    112775
  87. 15m_correlation_with_coin:
    0.043213
  88. btc_indicators
  89. 1H_ema100:
    115478
  90. 1H_price_ema100_diff:
    -0.023276
  91. 1H_price:
    112791
  92. 1H_correlation_with_coin:
    0.136618
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
07:26:25
22 Sep 2025
07:30:00
3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3388 0.3396 0.3371 2.12 0.2804
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 0.3388
  • Stop Loss: 0.3396
  • Take Profit: 0.3371

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3396 - 0.3388 = 0.00080000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3388 - 0.3371 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.00080000000000002 = 2.125

📌 Position Size

Amount Margin Quantity Leverage
3228.3237 100 9528.7003 32.28
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 0.00080000000000002

Taille de position = 8 / 0.00080000000000002 = 10000

Taille de position USD = 10000 x 0.3388 = 3388

Donc, tu peux acheter 10000 avec un stoploss a 0.3396

Avec un position size USD de 3388$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.00080000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0017 = 17

Si Take Profit atteint, tu gagneras 17$

Résumé

  • Taille de position 10000
  • Taille de position USD 3388
  • Perte potentielle 8
  • Gain potentiel 17
  • Risk-Reward Ratio 2.125

📌 Peformances

TP % Target TP $ Target
0.5 % 16.2 $
SL % Target SL $ Target
0.24 % 7.62 $
PNL PNL %
-7.62 $ -0.24
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2391 % 101.27 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3371
            [entry_price] => 0.3388
            [stop_loss] => 0.33968
            [rr_ratio] => 1.93
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 07:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3371
            [entry_price] => 0.3388
            [stop_loss] => 0.33976
            [rr_ratio] => 1.77
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 07:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3371
            [entry_price] => 0.3388
            [stop_loss] => 0.33984
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 07:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3371
            [entry_price] => 0.3388
            [stop_loss] => 0.34
            [rr_ratio] => 1.42
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 07:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00030000000000002
            [max_drawdown] => 0.0028
            [rr_ratio] => -0.11
            [high] => 0.34160000
            [low] => 0.33910000
            [mfe_pct] => -0.09
            [mae_pct] => 0.83
            [mfe_mae_ratio] => -0.11
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T07:26:25-04:00
            [end_at] => 2025-09-22T09:26:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.00030000000000002
            [max_drawdown] => 0.0036
            [rr_ratio] => -0.08
            [high] => 0.34240000
            [low] => 0.33910000
            [mfe_pct] => -0.09
            [mae_pct] => 1.06
            [mfe_mae_ratio] => -0.08
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T07:26:25-04:00
            [end_at] => 2025-09-22T14:26:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.34196000
            [high_after] => 0.34234000
            [low_before] => 0.33375000
            [low_after] => 0.33910000
            [is_new_high] => 
            [is_new_low] => 
        )

)