Trade

sell - TAO

Status
win
2025-06-05 08:49:35
45 minutes
PNL
0.93
Entry: 376.13
Last: 372.60000000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.57
Prediction 1 Probability
Weak Trade
0.55
Prediction 2 Probability
0 0.47
Prediction 3 Probability
n/a
ML Trade Score: 130
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 1.548491775
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 375.871
  4. ema21 - 380.076
  5. ema50 - 386.898
  6. ema100 - 394.637
  7. price_ema9_diff - 0.000687136
  8. ema9_ema21_diff - -0.0110619
  9. ema21_ema50_diff - -0.0176325
  10. price_ema100_diff - -0.046897
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.409943
  14. kc_percentage - 0.323994
  15. kc_width_percentage - 0.0550096
  16. volume_ema_diff - 0.316875
  17. ¸
  18. 15m
  19. ema9 - 372.83
  20. ema21 - 374.041
  21. ema50 - 377.182
  22. ema100 - 380.909
  23. price_ema9_diff - 0.00884862
  24. ema9_ema21_diff - -0.00323769
  25. ema21_ema50_diff - -0.00832572
  26. price_ema100_diff - -0.0125484
  27. all_emas_in_trend - True
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.539341
  30. kc_percentage - 0.706939
  31. kc_width_percentage - 0.0284557
  32. volume_ema_diff - 0.298982
  33. ¸
  34. 5m
  35. ema9 - 373.895
  36. ema21 - 372.506
  37. ema50 - 373.284
  38. ema100 - 375.388
  39. price_ema9_diff - 0.00597727
  40. ema9_ema21_diff - 0.00372729
  41. ema21_ema50_diff - -0.0020828
  42. price_ema100_diff - 0.00197405
  43. all_emas_in_trend - False
  44. all_emas_and_price_in_trend - False
  45. rsi - 0.695459
  46. kc_percentage - 1.06505
  47. kc_width_percentage - 0.0168724
  48. volume_ema_diff - 0.145173
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 104827
  53. 5m_price_ema100_diff: 0.00775834
  54. 5m_price: 105641
  55. 5m_correlation_with_coin: 0.710956
  56. btc_indicators
  57. 15m_ema100: 104901
  58. 15m_price_ema100_diff: 0.00704661
  59. 15m_price: 105641
  60. btc_indicators
  61. 1H_ema100: 104917
  62. 1H_price_ema100_diff: 0.00690078
  63. 1H_price: 105641
  64. ¸

Short Trade on TAO

The 05 Jun 2025 at 08:49:35

With 3.4442 TAO at 376.13$ per unit.

Position size of 1295.4713 $

Take profit at 372.6459 (0.93 %) and Stop Loss at 378.4527 (0.62 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -82.5 %

Symbol Start at Seach Score Trade Score Trades Count
ALCH 2025-05-20 15:09:00 0.8932 -100 3
DOG 2025-05-29 17:18:33 0.8915 -100 2
PAXG 2025-04-06 21:41:49 0.8849 -100 3
POPCAT 2025-05-15 04:46:39 0.8775 40 1
SIREN 2025-04-23 15:14:43 0.8729 -100 1
POL 2025-06-12 23:18:44 0.8723 -100 1
FUN 2025-06-28 10:43:50 0.8723 -100 1
REZ 2025-05-05 23:45:00 0.8718 -100 1

📌 Time Data

Start at Closed at Duration
05 Jun 2025
08:49:35
05 Jun 2025
09:35:00
45 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
376.13 378.4527 372.6459 1.5 428.94
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 376.13
  • Stop Loss: 378.4527
  • Take Profit: 372.6459

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 378.4527 - 376.13 = 2.3227

  • Récompense (distance jusqu'au take profit):

    E - TP = 376.13 - 372.6459 = 3.4841

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 3.4841 / 2.3227 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1295.4713 100 3.4442 12.95
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 2.3227

Taille de position = 8 / 2.3227 = 3.44

Taille de position USD = 3.44 x 376.13 = 1293.89

Donc, tu peux acheter 3.44 avec un stoploss a 378.4527

Avec un position size USD de 1293.89$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3.44 x 2.3227 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3.44 x 3.4841 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position 3.44
  • Taille de position USD 1293.89
  • Perte potentielle 7.99
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.93 % 12 $
SL % Target SL $ Target
0.62 % 8 $
PNL PNL %
12.06 $ 0.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.29779314012231 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 371.3
            [stop_loss] => 378.5
            [rr_ratio] => 2
            [closed_at] => 2025-06-05 09:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 370.1
            [stop_loss] => 378.5
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-05 09:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 368.9
            [stop_loss] => 378.5
            [rr_ratio] => 3
            [closed_at] => 2025-06-05 09:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 367.7
            [stop_loss] => 378.5
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-05 09:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 366.5
            [stop_loss] => 378.5
            [rr_ratio] => 4
            [closed_at] => 2025-06-05 10:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 365.3
            [stop_loss] => 378.5
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-05 13:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 364.1
            [stop_loss] => 378.5
            [rr_ratio] => 5
            [closed_at] => 2025-06-05 13:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 362.9
            [stop_loss] => 378.5
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-05 14:10:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 361.7
            [stop_loss] => 378.5
            [rr_ratio] => 6
            [closed_at] => 2025-06-05 14:10:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 361.03245
            [stop_loss] => 378.4527
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-05 14:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 10.8
            [max_drawdown] => 1.09
            [rr_ratio] => 9.91
            [high] => 377.22000000
            [low] => 365.33000000
            [mfe_pct] => 2.87
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 9.91
            [candles_analyzed] => 24
            [start_at] => 2025-06-05T08:49:35-04:00
            [end_at] => 2025-06-05T10:49:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 15.56
            [max_drawdown] => 1.09
            [rr_ratio] => 14.28
            [high] => 377.22000000
            [low] => 360.57000000
            [mfe_pct] => 4.14
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 14.28
            [candles_analyzed] => 72
            [start_at] => 2025-06-05T08:49:35-04:00
            [end_at] => 2025-06-05T14:49:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 377.83000000
            [high_after] => 377.22000000
            [low_before] => 364.74000000
            [low_after] => 360.57000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)