Short Trade on TOWNS 09 Sep 2025 at 20:49:52

Take profit at 0.02575 (0.92 %) and Stop Loss at 0.02611 (0.46 %)

Short Trade on TOWNS

The 09 Sep 2025 at 20:49:52

With 66734.7117 TOWNS at 0.02599$ per unit.

Position size of 1734.4352 $

Take profit at 0.02575 (0.92 %) and Stop Loss at 0.02611 (0.46 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.65
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.87
Prediction 2 Probability
1 0.58
Prediction 3 Probability
1 0.53
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.302578

15m : -0.029039

1H : -0.137238

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 7.991842927E-5
Details
  1. score: 1.24
  2. 1H
  3. ema9 : 0.0257736
  4. ema21 : 0.026235
  5. ema50 : 0.0265547
  6. ema100 : 0.0260657
  7. price_ema9_diff : 0.00839326
  8. ema9_ema21_diff : -0.017587
  9. ema21_ema50_diff : -0.0120375
  10. price_ema100_diff : -0.00290423
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.495091
  14. ema_slope_21 : -0.386916
  15. ema_slope_50 : -0.172688
  16. ema_slope_100 : -0.0361823
  17. rsi : 0.436566
  18. adx : 0.267818
  19. kc_percentage : 0.370646
  20. kc_width_percentage : 0.0629975
  21. volume_ema_diff : -0.630902
  22. volume_ema1 : 107268.08678817
  23. volume_ema2 : 290623.00307448
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.025765
  28. ema21 : 0.0256708
  29. ema50 : 0.0259077
  30. ema100 : 0.0264135
  31. price_ema9_diff : 0.00872888
  32. ema9_ema21_diff : 0.00367121
  33. ema21_ema50_diff : -0.00914237
  34. price_ema100_diff : -0.016035
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.105196
  38. ema_slope_21 : 0.0443921
  39. ema_slope_50 : -0.0390869
  40. ema_slope_100 : -0.0605722
  41. rsi : 0.66073
  42. adx : 0.259026
  43. kc_percentage : 1.07431
  44. kc_width_percentage : 0.0213171
  45. volume_ema_diff : -0.345516
  46. volume_ema1 : 27706.431878718
  47. volume_ema2 : 42333.276043816
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 0.0258295
  52. ema21 : 0.0257307
  53. ema50 : 0.0256269
  54. ema100 : 0.0255623
  55. price_ema9_diff : 0.00621155
  56. ema9_ema21_diff : 0.00383901
  57. ema21_ema50_diff : 0.00405038
  58. price_ema100_diff : 0.0167287
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0537099
  62. ema_slope_21 : 0.0382996
  63. ema_slope_50 : 0.0270474
  64. ema_slope_100 : 0.0169018
  65. rsi : 0.732466
  66. adx : 0.257882
  67. kc_percentage : 1.23935
  68. kc_width_percentage : 0.0131943
  69. volume_ema_diff : 1.15473
  70. volume_ema1 : 18737.470431548
  71. volume_ema2 : 8695.9472796725
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    111259
  77. 5m_price_ema100_diff:
    -0.00134663
  78. 5m_price:
    111110
  79. 5m_correlation_with_coin:
    0.302578
  80. btc_indicators
  81. 15m_ema100:
    111698
  82. 15m_price_ema100_diff:
    -0.00526461
  83. 15m_price:
    111110
  84. 15m_correlation_with_coin:
    -0.029039
  85. btc_indicators
  86. 1H_ema100:
    111390
  87. 1H_price_ema100_diff:
    -0.0025132
  88. 1H_price:
    111110
  89. 1H_correlation_with_coin:
    -0.137238
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
20:49:52
09 Sep 2025
21:15:00
25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02599 0.02611 0.02575 2 0.003308
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 0.02599
  • Stop Loss: 0.02611
  • Take Profit: 0.02575

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02611 - 0.02599 = 0.00012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02599 - 0.02575 = 0.00024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00024 / 0.00012 = 2

📌 Position Size

Amount Margin Quantity Leverage
1734.4352 100 66734.7117 17.34
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 0.00012

Taille de position = 8 / 0.00012 = 66666.67

Taille de position USD = 66666.67 x 0.02599 = 1732.67

Donc, tu peux acheter 66666.67 avec un stoploss a 0.02611

Avec un position size USD de 1732.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 66666.67 x 0.00012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 66666.67 x 0.00024 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 66666.67
  • Taille de position USD 1732.67
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.92 % 16.02 $
SL % Target SL $ Target
0.46 % 8.01 $
PNL PNL %
-8.01 $ -0.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0773 % 233.33 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02575
            [entry_price] => 0.02599
            [stop_loss] => 0.026122
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 21:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02575
            [entry_price] => 0.02599
            [stop_loss] => 0.026134
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 21:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02575
            [entry_price] => 0.02599
            [stop_loss] => 0.026146
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 21:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02575
            [entry_price] => 0.02599
            [stop_loss] => 0.02617
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 21:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00015
            [max_drawdown] => 0.00028
            [rr_ratio] => 0.54
            [high] => 0.02627000
            [low] => 0.02584000
            [mfe_pct] => 0.58
            [mae_pct] => 1.08
            [mfe_mae_ratio] => 0.54
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T20:49:52-04:00
            [end_at] => 2025-09-09T22:49:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00015
            [max_drawdown] => 0.00042
            [rr_ratio] => 0.36
            [high] => 0.02641000
            [low] => 0.02584000
            [mfe_pct] => 0.58
            [mae_pct] => 1.62
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T20:49:52-04:00
            [end_at] => 2025-09-10T03:49:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02600000
            [high_after] => 0.02627000
            [low_before] => 0.02538000
            [low_after] => 0.02584000
            [is_new_high] => 
            [is_new_low] => 
        )

)