Web3Way Logo

Trade

sell - TAO

Status
loss
2025-05-31 00:16:28
3 minutes
PNL
-1.00
Entry: 389.2
Last: 393.10000000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 0.85
Prediction 1 Probability
Strong Trade
0.53
Prediction 2 Probability
0 0.47
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: -0.08

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.33
  4. atr: 2.627460881
Details
  1. score: 1.33
  2. 1H
  3. ema9 - 383.075
  4. ema21 - 391.319
  5. ema50 - 405.764
  6. ema100 - 417.232
  7. price_ema9_diff - 0.0159869
  8. ema9_ema21_diff - -0.021067
  9. ema21_ema50_diff - -0.0355982
  10. price_ema100_diff - -0.067187
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.447527
  14. kc_percentage - 0.458199
  15. kc_width_percentage - 0.0898753
    16. ¸
  16. 15m
  17. ema9 - 379.795
  18. ema21 - 378.862
  19. ema50 - 384.408
  20. ema100 - 392.303
  21. price_ema9_diff - 0.0247623
  22. ema9_ema21_diff - 0.00246231
  23. ema21_ema50_diff - -0.0144276
  24. price_ema100_diff - -0.00791148
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.602346
  28. kc_percentage - 1.01181
  29. kc_width_percentage - 0.0524376
    30. ¸
  30. 5m
  31. ema9 - 383.956
  32. ema21 - 380.378
  33. ema50 - 378.414
  34. ema100 - 380.364
  35. price_ema9_diff - 0.0136557
  36. ema9_ema21_diff - 0.00940596
  37. ema21_ema50_diff - 0.00519097
  38. price_ema100_diff - 0.0232279
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.724182
  42. kc_percentage - 1.33314
  43. kc_width_percentage - 0.0265687
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103855
  47. 5m_price_ema100_diff: -0.00262017
  48. 5m_price: 103582
  49. 5m_correlation_with_coin: 0.648376
  50. btc_indicators
  51. 15m_ema100: 104661
  52. 15m_price_ema100_diff: -0.0103097
  53. 15m_price: 103582
  54. btc_indicators
  55. 1H_ema100: 106582
  56. 1H_price_ema100_diff: -0.0281474
  57. 1H_price: 103582
    58. ¸

Short Trade on TAO

The 31 May 2025 at 00:16:28

With 2.0298 TAO at 389.2$ per unit.

Position size of 790.0149 $

Take profit at 383.2882 (1.52 %) and Stop Loss at 393.1412 (1.01 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -61.48 %

Symbol Start at Seach Score Trade Score Trades Count
EIGEN 2025-05-31 00:31:43 0.9665 -56.67 3
INJ 2025-05-31 01:00:21 0.9635 -56.67 3
ENA 2025-05-31 01:03:37 0.9644 -100 1
ETHFI 2025-05-31 00:37:22 0.9638 -100 1
VANRY 2025-05-31 00:44:52 0.96 -100 2
NEAR 2025-05-31 00:59:32 0.9614 -100 1
MEW 2025-05-31 00:39:01 0.9604 -100 1
IO 2025-05-25 08:56:46 0.9597 30 1
FLOKI 2025-05-31 00:51:06 0.9592 30 1

📌 Time Data

Start at Closed at Duration
31 May 2025
00:16:28		 31 May 2025
00:20:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
389.2 393.1412 383.2882 1.5 430.2
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 389.2
  • Stop Loss: 393.1412
  • Take Profit: 383.2882

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 393.1412 - 389.2 = 3.9412

  • Récompense (distance jusqu'au take profit):

    E - TP = 389.2 - 383.2882 = 5.9118

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 5.9118 / 3.9412 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
790.0149 100 2.0298 7.90
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 3.9412

Taille de position = 8 / 3.9412 = 2.03

Taille de position USD = 2.03 x 389.2 = 790.08

Donc, tu peux acheter 2.03 avec un stoploss a 393.1412

Avec un position size USD de 790.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2.03 x 3.9412 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2.03 x 5.9118 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2.03
  • Taille de position USD 790.08
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.52 % 12 $
SL % Target SL $ Target
1.01 % 8 $
PNL PNL %
-7.92 $ -1.00
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1048304213772 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 383.3
            [entry_price] => 389.2
            [stop_loss] => 393.49
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-31 00:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 383.3
            [entry_price] => 389.2
            [stop_loss] => 393.88
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-31 00:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 383.3
            [entry_price] => 389.2
            [stop_loss] => 394.27
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-31 00:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 383.3
            [entry_price] => 389.2
            [stop_loss] => 395.05
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-31 00:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -1.56
            [max_drawdown] => 26.83
            [rr_ratio] => -0.06
            [high] => 416.03000000
            [low] => 390.76000000
            [mfe_pct] => -0.4
            [mae_pct] => 6.89
            [mfe_mae_ratio] => -0.06
            [candles_analyzed] => 24
            [start_at] => 2025-05-31T00:16:28-04:00
            [end_at] => 2025-05-31T02:16:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -1.56
            [max_drawdown] => 26.83
            [rr_ratio] => -0.06
            [high] => 416.03000000
            [low] => 390.76000000
            [mfe_pct] => -0.4
            [mae_pct] => 6.89
            [mfe_mae_ratio] => -0.06
            [candles_analyzed] => 72
            [start_at] => 2025-05-31T00:16:28-04:00
            [end_at] => 2025-05-31T06:16:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 391.61000000
            [high_after] => 416.03000000
            [low_before] => 366.19000000
            [low_after] => 390.76000000
            [is_new_high] => 
            [is_new_low] => 
        )

)