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Short Trade on TAO

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Short Trade on TAO 12 Oct 2025 at 00:53:52

Take profit at 295.6806 (2.1 %) and Stop Loss at 305.1747 (1.05 %)

Short Trade on TAO

The 12 Oct 2025 at 00:53:52

With 2.5279 TAO at 302.01$ per unit.

Position size of 763.4449 $

Take profit at 295.6806 (2.1 %) and Stop Loss at 305.1747 (1.05 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.52
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.96
Prediction 2 Probability
0 0.89
Prediction 3 Probability
0 0.85
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.715461

15m : 0.055634

1H : -0.019288

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 2.109805231
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 296.492
  4. ema21 : 302.359
  5. ema50 : 315.351
  6. ema100 : 323.964
  7. price_ema9_diff : 0.0186085
  8. ema9_ema21_diff : -0.019403
  9. ema21_ema50_diff : -0.0412
  10. price_ema100_diff : -0.067769
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.375858
  14. ema_slope_21 : -0.382536
  15. ema_slope_50 : -0.306171
  16. ema_slope_100 : -0.190882
  17. rsi : 0.47187
  18. adx : 0.494626
  19. kc_percentage : 0.5057
  20. kc_width_percentage : 0.126521
  21. volume_ema_diff : -0.687603
  22. volume_ema1 : 1164884.1109076
  23. volume_ema2 : 3728858.3377425
  24. chop : 65.2489
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 297.205
  28. ema21 : 295.194
  29. ema50 : 297.032
  30. ema100 : 299.104
  31. price_ema9_diff : 0.0161665
  32. ema9_ema21_diff : 0.00681049
  33. ema21_ema50_diff : -0.00618647
  34. price_ema100_diff : 0.00971422
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.178492
  38. ema_slope_21 : 0.0460302
  39. ema_slope_50 : -0.0331207
  40. ema_slope_100 : -0.0324262
  41. rsi : 0.67223
  42. adx : 0.253849
  43. kc_percentage : 0.966865
  44. kc_width_percentage : 0.0481102
  45. volume_ema_diff : -0.379897
  46. volume_ema1 : 232840.75899362
  47. volume_ema2 : 375487.53550174
  48. chop : 42.6743
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 299.977
  52. ema21 : 297.544
  53. ema50 : 294.905
  54. ema100 : 293.607
  55. price_ema9_diff : 0.00677447
  56. ema9_ema21_diff : 0.00817747
  57. ema21_ema50_diff : 0.00894788
  58. price_ema100_diff : 0.0286179
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.140935
  62. ema_slope_21 : 0.135598
  63. ema_slope_50 : 0.0810237
  64. ema_slope_100 : 0.0450124
  65. rsi : 0.704348
  66. adx : 0.418376
  67. kc_percentage : 1.01334
  68. kc_width_percentage : 0.0277119
  69. volume_ema_diff : -0.34775
  70. volume_ema1 : 64425.000569538
  71. volume_ema2 : 98773.575644284
  72. chop : 54.7029
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    110533
  77. 5m_price_ema100_diff: 
    0.00965024
  78. 5m_price: 
    111600
  79. 5m_correlation_with_coin: 
    0.715461
  80. btc_indicators
  81. 15m_ema100: 
    111247
  82. 15m_price_ema100_diff: 
    0.00365647
  83. 15m_price: 
    111654
  84. 15m_correlation_with_coin: 
    0.055634
  85. btc_indicators
  86. 1H_ema100: 
    116642
  87. 1H_price_ema100_diff: 
    -0.0432294
  88. 1H_price: 
    111600
  89. 1H_correlation_with_coin: 
    -0.019288
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Oct 2025
00:53:52		 12 Oct 2025
02:25:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
302.01 305.1747 295.6806 2 183.82
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 302.01
  • Stop Loss: 305.1747
  • Take Profit: 295.6806

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 305.1747 - 302.01 = 3.1647

  • Récompense (distance jusqu'au take profit):

    E - TP = 302.01 - 295.6806 = 6.3294

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 6.3294 / 3.1647 = 2

📌 Position Size

Amount Margin Quantity Leverage
763.4449 100 2.5279 7.63
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 3.1647

Taille de position = 8 / 3.1647 = 2.53

Taille de position USD = 2.53 x 302.01 = 764.09

Donc, tu peux acheter 2.53 avec un stoploss a 305.1747

Avec un position size USD de 764.09$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2.53 x 3.1647 = 8.01

Si Stop Loss atteint, tu perdras 8.01$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2.53 x 6.3294 = 16.01

Si Take Profit atteint, tu gagneras 16.01$

Résumé

  • Taille de position 2.53
  • Taille de position USD 764.09
  • Perte potentielle 8.01
  • Gain potentiel 16.01
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.1 % 16 $
SL % Target SL $ Target
1.05 % 8 $
PNL PNL %
-8 $ -1.05
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0894 % 103.96 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 295.6806
            [entry_price] => 302.01
            [stop_loss] => 305.49117
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-12 02:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 295.6806
            [entry_price] => 302.01
            [stop_loss] => 305.80764
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-12 02:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 295.6806
            [entry_price] => 302.01
            [stop_loss] => 306.12411
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-12 02:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 295.6806
            [entry_price] => 302.01
            [stop_loss] => 306.75705
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-12 02:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.77
            [max_drawdown] => 7.47
            [rr_ratio] => 0.5
            [high] => 309.48000000
            [low] => 298.24000000
            [mfe_pct] => 1.25
            [mae_pct] => 2.47
            [mfe_mae_ratio] => 0.5
            [candles_analyzed] => 24
            [start_at] => 2025-10-12T00:53:52-04:00
            [end_at] => 2025-10-12T02:53:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.77
            [max_drawdown] => 18.6
            [rr_ratio] => 0.2
            [high] => 320.61000000
            [low] => 298.24000000
            [mfe_pct] => 1.25
            [mae_pct] => 6.16
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 84
            [start_at] => 2025-10-12T00:53:52-04:00
            [end_at] => 2025-10-12T07:53:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 303.41000000
            [high_after] => 320.61000000
            [low_before] => 286.45000000
            [low_after] => 298.24000000
            [is_new_high] => 
            [is_new_low] => 
        )

)