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Short Trade on TAO

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Short Trade on TAO 20 Sep 2025 at 10:53:59

Take profit at 342.8216 (0.51 %) and Stop Loss at 345.4742 (0.26 %)

Short Trade on TAO

The 20 Sep 2025 at 10:53:59

With 9.048 TAO at 344.59$ per unit.

Position size of 3117.8412 $

Take profit at 342.8216 (0.51 %) and Stop Loss at 345.4742 (0.26 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.08
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.79
Prediction 3 Probability
0 0.79
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_low

5m_regime : range_low
BTC Correlation Score

5m : 0.546746

15m : -0.026927

1H : -0.098786

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.29
  4. atr: 0.5894505924
Details
  1. score: 1.29
  2. 1H
  3. ema9 : 343.697
  4. ema21 : 345.648
  5. ema50 : 349.266
  6. ema100 : 349.564
  7. price_ema9_diff : 0.00259605
  8. ema9_ema21_diff : -0.00564489
  9. ema21_ema50_diff : -0.010359
  10. price_ema100_diff : -0.0142293
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0788628
  14. ema_slope_21 : -0.099411
  15. ema_slope_50 : -0.0788961
  16. ema_slope_100 : -0.0364105
  17. rsi : 0.437811
  18. adx : 0.413112
  19. kc_percentage : 0.41289
  20. kc_width_percentage : 0.0291672
  21. volume_ema_diff : -0.509641
  22. volume_ema1 : 598821.03997416
  23. volume_ema2 : 1221190.6195124
  24. chop : 71.2239
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 342.662
  28. ema21 : 342.754
  29. ema50 : 343.81
  30. ema100 : 345.507
  31. price_ema9_diff : 0.00562488
  32. ema9_ema21_diff : -0.00026898
  33. ema21_ema50_diff : -0.00307026
  34. price_ema100_diff : -0.00265466
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00204082
  38. ema_slope_21 : -0.0142095
  39. ema_slope_50 : -0.02095
  40. ema_slope_100 : -0.0204262
  41. rsi : 0.571585
  42. adx : 0.230817
  43. kc_percentage : 0.907957
  44. kc_width_percentage : 0.0132535
  45. volume_ema_diff : -0.183388
  46. volume_ema1 : 149850.87076703
  47. volume_ema2 : 183503.15234623
  48. chop : 56.0403
  49. regime : range_low
    50. ¸
  50. 5m
  51. ema9 : 343.046
  52. ema21 : 342.63
  53. ema50 : 342.619
  54. ema100 : 343.188
  55. price_ema9_diff : 0.00449885
  56. ema9_ema21_diff : 0.00121396
  57. ema21_ema50_diff : 3.36945E-5
  58. price_ema100_diff : 0.00408392
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.00754483
  62. ema_slope_21 : 0.00286516
  63. ema_slope_50 : -0.00139286
  64. ema_slope_100 : -0.00471687
  65. rsi : 0.714602
  66. adx : 0.173338
  67. kc_percentage : 1.2925
  68. kc_width_percentage : 0.00711655
  69. volume_ema_diff : 0.968285
  70. volume_ema1 : 101171.14768561
  71. volume_ema2 : 51400.650535494
  72. chop : 29.5218
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    115776
  77. 5m_price_ema100_diff: 
    0.00144906
  78. 5m_price: 
    115944
  79. 5m_correlation_with_coin: 
    0.546746
  80. btc_indicators
  81. 15m_ema100: 
    115755
  82. 15m_price_ema100_diff: 
    0.00162997
  83. 15m_price: 
    115944
  84. 15m_correlation_with_coin: 
    -0.026927
  85. btc_indicators
  86. 1H_ema100: 
    116107
  87. 1H_price_ema100_diff: 
    -0.00140761
  88. 1H_price: 
    115944
  89. 1H_correlation_with_coin: 
    -0.098786
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
20 Sep 2025
10:53:59		 20 Sep 2025
11:05:00		 11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
344.59 345.4742 342.8216 2 174.42
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 344.59
  • Stop Loss: 345.4742
  • Take Profit: 342.8216

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 345.4742 - 344.59 = 0.88420000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 344.59 - 342.8216 = 1.7684

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 1.7684 / 0.88420000000002 = 2

📌 Position Size

Amount Margin Quantity Leverage
3117.8412 100 9.048 31.18
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 0.88420000000002

Taille de position = 8 / 0.88420000000002 = 9.05

Taille de position USD = 9.05 x 344.59 = 3118.54

Donc, tu peux acheter 9.05 avec un stoploss a 345.4742

Avec un position size USD de 3118.54$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 9.05 x 0.88420000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 9.05 x 1.7684 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 9.05
  • Taille de position USD 3118.54
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.51 % 16 $
SL % Target SL $ Target
0.26 % 8 $
PNL PNL %
-8 $ -0.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4005 % 156.08 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 342.8216
            [entry_price] => 344.59
            [stop_loss] => 345.56262
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-20 11:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 342.8216
            [entry_price] => 344.59
            [stop_loss] => 345.65104
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-20 11:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 342.8216
            [entry_price] => 344.59
            [stop_loss] => 345.73946
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-20 11:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 342.8216
            [entry_price] => 344.59
            [stop_loss] => 345.9163
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-20 11:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.14999999999998
            [max_drawdown] => 4.04
            [rr_ratio] => 0.04
            [high] => 348.63000000
            [low] => 344.44000000
            [mfe_pct] => 0.04
            [mae_pct] => 1.17
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 24
            [start_at] => 2025-09-20T10:53:59-04:00
            [end_at] => 2025-09-20T12:53:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.31
            [max_drawdown] => 4.04
            [rr_ratio] => 0.08
            [high] => 348.63000000
            [low] => 344.28000000
            [mfe_pct] => 0.09
            [mae_pct] => 1.17
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 84
            [start_at] => 2025-09-20T10:53:59-04:00
            [end_at] => 2025-09-20T17:53:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 344.66000000
            [high_after] => 348.63000000
            [low_before] => 341.10000000
            [low_after] => 344.28000000
            [is_new_high] => 
            [is_new_low] => 
        )

)