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Short Trade on TAO

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Short Trade on TAO 14 Sep 2025 at 13:23:20

Take profit at 348.1645 (0.75 %) and Stop Loss at 352.1028 (0.37 %)

Short Trade on TAO

The 14 Sep 2025 at 13:23:20

With 6.0941 TAO at 350.79$ per unit.

Position size of 2137.7408 $

Take profit at 348.1645 (0.75 %) and Stop Loss at 352.1028 (0.37 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.17
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.53
Prediction 2 Probability
0 0.6
Prediction 3 Probability
0 0.56
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.623517

15m : -0.105984

1H : -0.15304

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.8751669051
Details
  1. score: 1
  2. 1H
  3. ema9 : 349.996
  4. ema21 : 352.814
  5. ema50 : 355.179
  6. ema100 : 354.276
  7. price_ema9_diff : 0.00226726
  8. ema9_ema21_diff : -0.007988
  9. ema21_ema50_diff : -0.00665712
  10. price_ema100_diff : -0.00984256
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.180575
  14. ema_slope_21 : -0.142011
  15. ema_slope_50 : -0.0700784
  16. ema_slope_100 : -0.0245063
  17. rsi : 0.422494
  18. adx : 0.260275
  19. kc_percentage : 0.369206
  20. kc_width_percentage : 0.0399898
  21. volume_ema_diff : -0.255128
  22. volume_ema1 : 1083063.8168657
  23. volume_ema2 : 1454027.2440836
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 349.152
  27. ema21 : 349.108
  28. ema50 : 351.048
  29. ema100 : 353.538
  30. price_ema9_diff : 0.00468907
  31. ema9_ema21_diff : 0.00012684
  32. ema21_ema50_diff : -0.00552703
  33. price_ema100_diff : -0.00777339
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0073763
  37. ema_slope_21 : -0.0265813
  38. ema_slope_50 : -0.0398883
  39. ema_slope_100 : -0.0339378
  40. rsi : 0.555354
  41. adx : 0.239185
  42. kc_percentage : 0.742226
  43. kc_width_percentage : 0.0203326
  44. volume_ema_diff : -0.375238
  45. volume_ema1 : 211040.37039879
  46. volume_ema2 : 337793.51263147
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 349.932
  50. ema21 : 349.091
  51. ema50 : 348.737
  52. ema100 : 349.449
  53. price_ema9_diff : 0.00245162
  54. ema9_ema21_diff : 0.00240844
  55. ema21_ema50_diff : 0.00101587
  56. price_ema100_diff : 0.00383602
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0484928
  60. ema_slope_21 : 0.0368463
  61. ema_slope_50 : 0.0139947
  62. ema_slope_100 : 0.00124369
  63. rsi : 0.671185
  64. adx : 0.240799
  65. kc_percentage : 1.0046
  66. kc_width_percentage : 0.00932406
  67. volume_ema_diff : -0.363304
  68. volume_ema1 : 70004.447445534
  69. volume_ema2 : 109949.65595944
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115525
  74. 5m_price_ema100_diff: 
    -0.000850231
  75. 5m_price: 
    115427
  76. 5m_correlation_with_coin: 
    0.623517
  77. btc_indicators
  78. 15m_ema100: 
    115608
  79. 15m_price_ema100_diff: 
    -0.00135493
  80. 15m_price: 
    115452
  81. 15m_correlation_with_coin: 
    -0.105984
  82. btc_indicators
  83. 1H_ema100: 
    115222
  84. 1H_price_ema100_diff: 
    0.00177811
  85. 1H_price: 
    115427
  86. 1H_correlation_with_coin: 
    -0.15304
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Sep 2025
13:23:20		 14 Sep 2025
13:25:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
350.79 352.1028 348.1645 2 174.45
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 350.79
  • Stop Loss: 352.1028
  • Take Profit: 348.1645

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 352.1028 - 350.79 = 1.3128

  • Récompense (distance jusqu'au take profit):

    E - TP = 350.79 - 348.1645 = 2.6255

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 2.6255 / 1.3128 = 1.9999

📌 Position Size

Amount Margin Quantity Leverage
2137.7408 100 6.0941 21.38
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 1.3128

Taille de position = 8 / 1.3128 = 6.09

Taille de position USD = 6.09 x 350.79 = 2136.31

Donc, tu peux acheter 6.09 avec un stoploss a 352.1028

Avec un position size USD de 2136.31$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6.09 x 1.3128 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6.09 x 2.6255 = 15.99

Si Take Profit atteint, tu gagneras 15.99$

Résumé

  • Taille de position 6.09
  • Taille de position USD 2136.31
  • Perte potentielle 7.99
  • Gain potentiel 15.99
  • Risk-Reward Ratio 1.9999

📌 Peformances

TP % Target TP $ Target
0.75 % 16 $
SL % Target SL $ Target
0.37 % 8 $
PNL PNL %
-8 $ -0.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5331 % 142.46 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 348.1645
            [entry_price] => 350.79
            [stop_loss] => 352.23408
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-14 13:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 348.1645
            [entry_price] => 350.79
            [stop_loss] => 352.36536
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-14 13:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 348.1645
            [entry_price] => 350.79
            [stop_loss] => 352.49664
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-14 13:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 348.1645
            [entry_price] => 350.79
            [stop_loss] => 352.7592
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-14 13:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.59
            [max_drawdown] => 2.53
            [rr_ratio] => 1.02
            [high] => 353.32000000
            [low] => 348.20000000
            [mfe_pct] => 0.74
            [mae_pct] => 0.72
            [mfe_mae_ratio] => 1.02
            [candles_analyzed] => 24
            [start_at] => 2025-09-14T13:23:20-04:00
            [end_at] => 2025-09-14T15:23:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.59
            [max_drawdown] => 4.36
            [rr_ratio] => 0.59
            [high] => 355.15000000
            [low] => 348.20000000
            [mfe_pct] => 0.74
            [mae_pct] => 1.24
            [mfe_mae_ratio] => 0.59
            [candles_analyzed] => 84
            [start_at] => 2025-09-14T13:23:20-04:00
            [end_at] => 2025-09-14T20:23:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 351.31000000
            [high_after] => 355.15000000
            [low_before] => 344.66000000
            [low_after] => 348.20000000
            [is_new_high] => 
            [is_new_low] => 
        )

)