Web3Way Logo

Trade

sell - ANIME

Status
win
2025-05-31 03:46:24
18 minutes
PNL
1.07
Entry: 0.02329
Last: 0.02304000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.8267
Prediction 1 Probability
Weak Trade
0.58
Prediction 2 Probability
1 0.46
Prediction 3 Probability
n/a
ML Trade Score: 120
ML Pullback Score: 7.98

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0001099811467
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.0227448
  4. ema21 - 0.023346
  5. ema50 - 0.0247568
  6. ema100 - 0.0258708
  7. price_ema9_diff - 0.0239667
  8. ema9_ema21_diff - -0.0257496
  9. ema21_ema50_diff - -0.0569879
  10. price_ema100_diff - -0.0997582
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.444928
  14. kc_percentage - 0.501327
  15. kc_width_percentage - 0.0956372
    16. ¸
  16. 15m
  17. ema9 - 0.02295
  18. ema21 - 0.0226375
  19. ema50 - 0.0227764
  20. ema100 - 0.0233509
  21. price_ema9_diff - 0.0148104
  22. ema9_ema21_diff - 0.0138068
  23. ema21_ema50_diff - -0.00610057
  24. price_ema100_diff - -0.00260958
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.657659
  28. kc_percentage - 1.15749
  29. kc_width_percentage - 0.0418474
    30. ¸
  30. 5m
  31. ema9 - 0.0231759
  32. ema21 - 0.0230163
  33. ema50 - 0.0226861
  34. ema100 - 0.0225273
  35. price_ema9_diff - 0.00492156
  36. ema9_ema21_diff - 0.00693464
  37. ema21_ema50_diff - 0.0145546
  38. price_ema100_diff - 0.0338526
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.699579
  42. kc_percentage - 1.11604
  43. kc_width_percentage - 0.0180853
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103664
  47. 5m_price_ema100_diff: -0.000548605
  48. 5m_price: 103607
  49. 5m_correlation_with_coin: 0.680939
  50. btc_indicators
  51. 15m_ema100: 104397
  52. 15m_price_ema100_diff: -0.00756886
  53. 15m_price: 103607
  54. btc_indicators
  55. 1H_ema100: 106487
  56. 1H_price_ema100_diff: -0.0270459
  57. 1H_price: 103607
    58. ¸

Short Trade on ANIME

The 31 May 2025 at 03:46:24

With 48493.1599 ANIME at 0.02329$ per unit.

Position size of 1129.4057 $

Take profit at 0.02304 (1.07 %) and Stop Loss at 0.02345 (0.69 %)

That's a 1.56 RR Trade

📌 Similar Trades

Similar Trade Score: 30.42 %

Symbol Start at Seach Score Trade Score Trades Count
NOT 2025-05-31 03:53:19 0.9717 40 1
IO 2025-05-31 03:40:16 0.9649 60 2
ATH 2025-06-19 19:43:38 0.9641 40 1
MEW 2025-05-31 03:44:59 0.9618 -56.67 3
ETHFI 2025-05-31 03:27:39 0.9624 30 1
ELDE 2025-05-30 14:52:56 0.9616 60 1
PEOPLE 2025-05-31 03:35:20 0.961 30 1
REZ 2025-05-31 03:37:07 0.9595 40 1

📌 Time Data

Start at Closed at Duration
31 May 2025
03:46:24		 31 May 2025
04:05:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02329 0.02345 0.02304 1.56 0.01761
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 0.02329
  • Stop Loss: 0.02345
  • Take Profit: 0.02304

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02345 - 0.02329 = 0.00016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02329 - 0.02304 = 0.00025

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00025 / 0.00016 = 1.5625

📌 Position Size

Amount Margin Quantity Leverage
1129.4057 100 48493.1599 11.29
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 0.00016

Taille de position = 8 / 0.00016 = 50000

Taille de position USD = 50000 x 0.02329 = 1164.5

Donc, tu peux acheter 50000 avec un stoploss a 0.02345

Avec un position size USD de 1164.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 50000 x 0.00016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 50000 x 0.00025 = 12.5

Si Take Profit atteint, tu gagneras 12.5$

Résumé

  • Taille de position 50000
  • Taille de position USD 1164.5
  • Perte potentielle 8
  • Gain potentiel 12.5
  • Risk-Reward Ratio 1.5625

📌 Peformances

TP % Target TP $ Target
1.07 % 12.12 $
SL % Target SL $ Target
0.69 % 7.76 $
PNL PNL %
12.12 $ 1.07
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.12881064834692 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02297
            [stop_loss] => 0.02345
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 04:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.02289
            [stop_loss] => 0.02345
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 04:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.02281
            [stop_loss] => 0.02345
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 04:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.02273
            [stop_loss] => 0.02345
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 04:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.02265
            [stop_loss] => 0.02345
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 04:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.02257
            [stop_loss] => 0.02345
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 04:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.02249
            [stop_loss] => 0.02345
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 04:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.02241
            [stop_loss] => 0.02345
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-31 05:25:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.02233
            [stop_loss] => 0.02345
            [rr_ratio] => 6
            [closed_at] => 2025-05-31 05:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00099
            [max_drawdown] => 2.9999999999999E-5
            [rr_ratio] => 33
            [high] => 0.02332000
            [low] => 0.02230000
            [mfe_pct] => 4.25
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 33
            [candles_analyzed] => 24
            [start_at] => 2025-05-31T03:46:24-04:00
            [end_at] => 2025-05-31T05:46:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00099
            [max_drawdown] => 9.9999999999999E-5
            [rr_ratio] => 9.9
            [high] => 0.02339000
            [low] => 0.02230000
            [mfe_pct] => 4.25
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 9.9
            [candles_analyzed] => 72
            [start_at] => 2025-05-31T03:46:24-04:00
            [end_at] => 2025-05-31T09:46:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02336000
            [high_after] => 0.02339000
            [low_before] => 0.02147000
            [low_after] => 0.02230000
            [is_new_high] => 
            [is_new_low] => 
        )

)