Web3Way Logo

Trade

sell - PENGU

Status
loss
2025-05-12 18:53:27
26 minutes
PNL
-0.80
Entry: 0.0137
Last: 0.01381000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -4.1957
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.43
Prediction 3 Probability
n/a
ML Trade Score: -90
ML Pullback Score: 1.41

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 7.051032663E-5
Details
  1. score: 1.24
  2. 1H
  3. ema9 - 0.0135262
  4. ema21 - 0.0137524
  5. ema50 - 0.0139347
  6. ema100 - 0.0140184
  7. price_ema9_diff - 0.0130674
  8. ema9_ema21_diff - -0.0164478
  9. ema21_ema50_diff - -0.0130822
  10. price_ema100_diff - -0.0225006
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.480877
  14. kc_percentage - 0.479992
  15. kc_width_percentage - 0.132556
    16. ¸
  16. 15m
  17. ema9 - 0.0134798
  18. ema21 - 0.0134149
  19. ema50 - 0.0135928
  20. ema100 - 0.0138167
  21. price_ema9_diff - 0.0165556
  22. ema9_ema21_diff - 0.00483519
  23. ema21_ema50_diff - -0.0130871
  24. price_ema100_diff - -0.00823226
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.608522
  28. kc_percentage - 0.960964
  29. kc_width_percentage - 0.0458749
    30. ¸
  30. 5m
  31. ema9 - 0.0135989
  32. ema21 - 0.0134925
  33. ema50 - 0.0133954
  34. ema100 - 0.0134274
  35. price_ema9_diff - 0.00765044
  36. ema9_ema21_diff - 0.00788658
  37. ema21_ema50_diff - 0.00724899
  38. price_ema100_diff - 0.0205189
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.744737
  42. kc_percentage - 1.23671
  43. kc_width_percentage - 0.0201682
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 102523
  47. 5m_price_ema100_diff: 0.00309866
  48. 5m_price: 102841
  49. 5m_correlation_with_coin: 0.817418
  50. btc_indicators
  51. 15m_ema100: 103277
  52. 15m_price_ema100_diff: -0.00422538
  53. 15m_price: 102841
  54. btc_indicators
  55. 1H_ema100: 103233
  56. 1H_price_ema100_diff: -0.00379257
  57. 1H_price: 102841
    58. ¸

Short Trade on PENGU

The 12 May 2025 at 18:53:27

With 75639.0388 PENGU at 0.0137$ per unit.

Position size of 1036.4817 $

Take profit at 0.01354 (1.17 %) and Stop Loss at 0.01381 (0.8 %)

That's a 1.45 RR Trade

📌 Similar Trades

Similar Trade Score: 10 %

Symbol Start at Seach Score Trade Score Trades Count
BERA 2025-05-12 18:45:39 0.96 -53.33 3
SUI 2025-05-12 18:50:50 0.9743 50 1
BTC 2025-05-12 18:48:46 0.9536 40 1
AI16Z 2025-06-26 16:57:04 0.9481 33.33 3
AI16Z 2025-07-14 19:04:08 0.9491 40 1
AI16Z 2025-04-03 17:51:55 0.9449 -100 1
BOME 2025-07-23 20:51:29 0.9451 30 1
LISTA 2025-07-23 20:44:56 0.9444 40 1

📌 Time Data

Start at Closed at Duration
12 May 2025
18:53:27		 12 May 2025
19:20:00		 26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0137 0.01381 0.01354 1.45 0.03395
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 0.0137
  • Stop Loss: 0.01381
  • Take Profit: 0.01354

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01381 - 0.0137 = 0.00011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0137 - 0.01354 = 0.00016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00016 / 0.00011 = 1.4545

📌 Position Size

Amount Margin Quantity Leverage
1036.4817 100 75639.0388 10.36
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 0.00011

Taille de position = 8 / 0.00011 = 72727.27

Taille de position USD = 72727.27 x 0.0137 = 996.36

Donc, tu peux acheter 72727.27 avec un stoploss a 0.01381

Avec un position size USD de 996.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 72727.27 x 0.00011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 72727.27 x 0.00016 = 11.64

Si Take Profit atteint, tu gagneras 11.64$

Résumé

  • Taille de position 72727.27
  • Taille de position USD 996.36
  • Perte potentielle 8
  • Gain potentiel 11.64
  • Risk-Reward Ratio 1.4545

📌 Peformances

TP % Target TP $ Target
1.17 % 12.1 $
SL % Target SL $ Target
0.8 % 8.32 $
PNL PNL %
-8.32 $ -0.80
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.81751824817518 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01354
            [entry_price] => 0.0137
            [stop_loss] => 0.013821
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-12 19:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01354
            [entry_price] => 0.0137
            [stop_loss] => 0.013832
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-12 19:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01354
            [entry_price] => 0.0137
            [stop_loss] => 0.013843
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-12 19:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01354
            [entry_price] => 0.0137
            [stop_loss] => 0.013865
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-12 20:15:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000219
            [max_drawdown] => 0.000162
            [rr_ratio] => 1.35
            [high] => 0.01386200
            [low] => 0.01348100
            [mfe_pct] => 1.6
            [mae_pct] => 1.18
            [mfe_mae_ratio] => 1.35
            [candles_analyzed] => 24
            [start_at] => 2025-05-12T18:53:27-04:00
            [end_at] => 2025-05-12T20:53:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000315
            [max_drawdown] => 0.000568
            [rr_ratio] => 0.55
            [high] => 0.01426800
            [low] => 0.01338500
            [mfe_pct] => 2.3
            [mae_pct] => 4.15
            [mfe_mae_ratio] => 0.55
            [candles_analyzed] => 72
            [start_at] => 2025-05-12T18:53:27-04:00
            [end_at] => 2025-05-13T00:53:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01376300
            [high_after] => 0.01426800
            [low_before] => 0.01288100
            [low_after] => 0.01338500
            [is_new_high] => 
            [is_new_low] => 
        )

)