Short Trade on TRX 01 Sep 2025 at 16:04:12

Take profit at 0.3369 (0.18 %) and Stop Loss at 0.3379 (0.12 %)

Short Trade on TRX

The 01 Sep 2025 at 16:04:12

With 21332.7641 TRX at 0.3375$ per unit.

Position size of 7200.0212 $

Take profit at 0.3369 (0.18 %) and Stop Loss at 0.3379 (0.12 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 7.86
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.78
Prediction 3 Probability
0 0.91
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.564006

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.26
  4. atr: 0.000250006671
Details
  1. score: 1.26
  2. 1H
  3. ema9 : 0.33731
  4. ema21 : 0.338211
  5. ema50 : 0.339227
  6. ema100 : 0.339951
  7. price_ema9_diff : 0.000590099
  8. ema9_ema21_diff : -0.00266239
  9. ema21_ema50_diff : -0.00299445
  10. price_ema100_diff : -0.00718061
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.453196
  14. adx : 0.252865
  15. kc_percentage : 0.384116
  16. kc_width_percentage : 0.0162761
  17. volume_ema_diff : -0.457263
  18. volume_ema1 : 178585.91365982
  19. volume_ema2 : 329047.24639278
  20. ¸
  21. 15m
  22. ema9 : 0.33683
  23. ema21 : 0.336896
  24. ema50 : 0.337594
  25. ema100 : 0.338606
  26. price_ema9_diff : 0.00201607
  27. ema9_ema21_diff : -0.000196078
  28. ema21_ema50_diff : -0.00206632
  29. price_ema100_diff : -0.00323932
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.55435
  33. adx : 0.252878
  34. kc_percentage : 0.799914
  35. kc_width_percentage : 0.00626401
  36. volume_ema_diff : -0.682013
  37. volume_ema1 : 24191.555492936
  38. volume_ema2 : 76077.331485424
  39. ¸
  40. 5m
  41. ema9 : 0.337125
  42. ema21 : 0.336792
  43. ema50 : 0.336742
  44. ema100 : 0.336966
  45. price_ema9_diff : 0.00114135
  46. ema9_ema21_diff : 0.00098701
  47. ema21_ema50_diff : 0.000147929
  48. price_ema100_diff : 0.00161266
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.675758
  52. adx : 0.302385
  53. kc_percentage : 1.25751
  54. kc_width_percentage : 0.00273833
  55. volume_ema_diff : -0.330155
  56. volume_ema1 : 12924.907531229
  57. volume_ema2 : 19295.370898029
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    108942
  62. 5m_price_ema100_diff:
    0.00195137
  63. 5m_price:
    109155
  64. 5m_correlation_with_coin:
    0.564006
  65. btc_indicators
  66. 15m_ema100:
    108784
  67. 15m_price_ema100_diff:
    0.00340858
  68. 15m_price:
    109155
  69. btc_indicators
  70. 1H_ema100:
    109321
  71. 1H_price_ema100_diff:
    -0.00152184
  72. 1H_price:
    109155
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
16:04:12
01 Sep 2025
16:35:00
30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3375 0.3379 0.3369 1.5 0.2792
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 0.3375
  • Stop Loss: 0.3379
  • Take Profit: 0.3369

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3379 - 0.3375 = 0.00039999999999996

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3375 - 0.3369 = 0.00060000000000004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00060000000000004 / 0.00039999999999996 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
7200.0212 100 21332.7641 72.00
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 0.00039999999999996

Taille de position = 8 / 0.00039999999999996 = 20000

Taille de position USD = 20000 x 0.3375 = 6750

Donc, tu peux acheter 20000 avec un stoploss a 0.3379

Avec un position size USD de 6750$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.00039999999999996 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.00060000000000004 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 20000
  • Taille de position USD 6750
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.18 % 12.8 $
SL % Target SL $ Target
0.12 % 8.53 $
PNL PNL %
12.8 $ 0.18
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0533 % 44.98 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3367
            [stop_loss] => 0.3379
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.3365
            [stop_loss] => 0.3379
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.3363
            [stop_loss] => 0.3379
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.3361
            [stop_loss] => 0.3379
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.3359
            [stop_loss] => 0.3379
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.3357
            [stop_loss] => 0.3379
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 16:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.3355
            [stop_loss] => 0.3379
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 16:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.3353
            [stop_loss] => 0.3379
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 17:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.3351
            [stop_loss] => 0.3379
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 17:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.3349
            [stop_loss] => 0.3379
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 17:30:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.3347
            [stop_loss] => 0.3379
            [rr_ratio] => 7
            [closed_at] => 2025-09-01 17:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00385
            [max_drawdown] => 0.00017999999999996
            [rr_ratio] => 21.39
            [high] => 0.33768000
            [low] => 0.33365000
            [mfe_pct] => 1.14
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 21.39
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T16:04:12-04:00
            [end_at] => 2025-09-01T18:04:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00385
            [max_drawdown] => 0.00124
            [rr_ratio] => 3.1
            [high] => 0.33874000
            [low] => 0.33365000
            [mfe_pct] => 1.14
            [mae_pct] => 0.37
            [mfe_mae_ratio] => 3.1
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T16:04:12-04:00
            [end_at] => 2025-09-01T23:04:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.33794000
            [high_after] => 0.33800000
            [low_before] => 0.33480000
            [low_after] => 0.33365000
            [is_new_high] => 
            [is_new_low] => 1
        )

)