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Trade

sell - TAO

Status
win
2025-06-17 15:27:59
47 minutes
PNL
1.34
Entry: 349.9
Last: 345.20000000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.1214
Prediction 1 Accuracy
Weak Trade
0.71
Prediction 2 Accuracy
0 0.52
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 2.094248921
Details
  1. score: 1.13
  2. 1H
  3. ema9 - 347.441
  4. ema21 - 355.09
  5. ema50 - 363.473
  6. ema100 - 367.105
  7. price_ema9_diff - 0.00719208
  8. ema9_ema21_diff - -0.0215411
  9. ema21_ema50_diff - -0.0230646
  10. price_ema100_diff - -0.04676
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.416578
  14. kc_percentage - 0.339377
  15. kc_width_percentage - 0.0819914
  16. volume_ema_diff - 0.293341
    17. ¸
  17. 15m
  18. ema9 - 343.996
  19. ema21 - 344.67
  20. ema50 - 350.316
  21. ema100 - 359.056
  22. price_ema9_diff - 0.0172763
  23. ema9_ema21_diff - -0.0019553
  24. ema21_ema50_diff - -0.0161151
  25. price_ema100_diff - -0.0253891
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.568469
  29. kc_percentage - 0.898971
  30. kc_width_percentage - 0.0388769
  31. volume_ema_diff - 0.177153
    32. ¸
  32. 5m
  33. ema9 - 347.284
  34. ema21 - 344.383
  35. ema50 - 343.937
  36. ema100 - 345.734
  37. price_ema9_diff - 0.00764596
  38. ema9_ema21_diff - 0.00842563
  39. ema21_ema50_diff - 0.0012949
  40. price_ema100_diff - 0.012164
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.672209
  44. kc_percentage - 1.13433
  45. kc_width_percentage - 0.0244374
  46. volume_ema_diff - 0.331394
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104625
  50. 5m_price_ema100_diff: 0.00384005
  51. 5m_price: 105027
  52. 5m_correlation_with_coin: 0.788523
  53. btc_indicators
  54. 15m_ema100: 105990
  55. 15m_price_ema100_diff: -0.00959587
  56. 15m_price: 104973
  57. btc_indicators
  58. 1H_ema100: 105964
  59. 1H_price_ema100_diff: -0.00884611
  60. 1H_price: 105027
    61. ¸

Short Trade on TAO

The 17 Jun 2025 at 15:27:59

With 2.547 TAO at 349.9$ per unit.

Position size of 891.2 $

Take profit at 345.2 (1.3 %) and Stop Loss at 353.1 (0.91 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -33.57 %

Symbol Start at Seach Score Trade Score Trades Count
ARB 2025-06-17 15:25:11 0.9887 30 1
ENA 2025-06-17 15:27:46 0.9886 -100 1
ETHFI 2025-06-17 15:27:29 0.9849 40 1
WLD 2025-06-17 15:26:29 0.9845 -100 1
OP 2025-06-17 15:23:39 0.9837 -100 1
LPT 2025-06-17 15:26:44 0.9827 -100 1
LDO 2025-06-17 15:24:20 0.9825 40 1
FIL 2025-06-17 15:21:50 0.9818 -100 1
ADA 2025-06-17 15:29:47 0.9795 30 1
XLM 2025-06-17 15:22:04 0.9789 30 1
GALA 2025-06-17 15:22:46 0.9781 -100 1
AI16Z 2025-06-17 15:33:16 0.9781 30 1
INJ 2025-06-17 15:24:58 0.9769 30 1
WIF 2025-06-17 15:27:16 0.9768 -100 1

📌 Time Data

Start at Closed at Duration
17 Jun 2025
15:27:59		 17 Jun 2025
16:15:00		 47 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
349.9 353.1 345.2 1.5 321
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 349.9
  • Stop Loss: 353.1
  • Take Profit: 345.2

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 353.1 - 349.9 = 3.2

  • Récompense (distance jusqu'au take profit):

    E - TP = 349.9 - 345.2 = 4.7

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 4.7 / 3.2 = 1.4687

📌 Position Size

Amount Margin Quantity Leverage
891.2 100 2.547 8.91
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 3.2

Taille de position = 8 / 3.2 = 2.5

Taille de position USD = 2.5 x 349.9 = 874.75

Donc, tu peux acheter 2.5 avec un stoploss a 353.1

Avec un position size USD de 874.75$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2.5 x 3.2 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2.5 x 4.7 = 11.75

Si Take Profit atteint, tu gagneras 11.75$

Résumé

  • Taille de position 2.5
  • Taille de position USD 874.75
  • Perte potentielle 8
  • Gain potentiel 11.75
  • Risk-Reward Ratio 1.4687

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.91 % 8.1 $
PNL PNL %
12 $ 1.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.583 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 343.5
            [stop_loss] => 353.1
            [rr_ratio] => 2
            [closed_at] => 2025-06-17 19:30:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 341.9
            [stop_loss] => 353.1
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-17 19:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 340.3
            [stop_loss] => 353.1
            [rr_ratio] => 3
            [closed_at] => 2025-06-17 19:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 338.7
            [stop_loss] => 353.1
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-17 19:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 337.1
            [stop_loss] => 353.1
            [rr_ratio] => 4
            [closed_at] => 2025-06-17 19:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 335.5
            [stop_loss] => 353.1
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-17 19:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 333.9
            [stop_loss] => 353.1
            [rr_ratio] => 5
            [closed_at] => 2025-06-17 19:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 332.3
            [stop_loss] => 353.1
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-17 19:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 330.7
            [stop_loss] => 353.1
            [rr_ratio] => 6
            [closed_at] => 2025-06-17 19:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 329.1
            [stop_loss] => 353.1
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-17 19:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 327.5
            [stop_loss] => 353.1
            [rr_ratio] => 7
            [closed_at] => 2025-06-17 19:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)