Web3Way Logo

Short Trade on PNUT

Previous Trade Next Trade

Short Trade on PNUT 16 May 2025 at 05:57:41

Take profit at 0.3435 (1.72 %) and Stop Loss at 0.3535 (1.14 %)

Short Trade on PNUT

The 16 May 2025 at 05:57:41

With 1993.0733 PNUT at 0.3495$ per unit.

Position size of 696.5592 $

Take profit at 0.3435 (1.72 %) and Stop Loss at 0.3535 (1.14 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 50
ML Pullback Score: 4.77
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.52
Prediction 2 Probability
1 0.42
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.690003

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.002675934398
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 0.344638
  4. ema21 : 0.350501
  5. ema50 : 0.368256
  6. ema100 : 0.386103
  7. price_ema9_diff : 0.0140758
  8. ema9_ema21_diff : -0.0167267
  9. ema21_ema50_diff : -0.0482126
  10. price_ema100_diff : -0.0948272
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.45858
  14. kc_percentage : 0.49073
  15. kc_width_percentage : 0.120598
    16. ¸
  16. 15m
  17. ema9 : 0.343364
  18. ema21 : 0.343285
  19. ema50 : 0.345516
  20. ema100 : 0.349826
  21. price_ema9_diff : 0.0178406
  22. ema9_ema21_diff : 0.000230101
  23. ema21_ema50_diff : -0.00645791
  24. price_ema100_diff : -0.000962127
  25. all_emas_in_trend : False
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.571072
  28. kc_percentage : 0.804716
  29. kc_width_percentage : 0.0587149
    30. ¸
  30. 5m
  31. ema9 : 0.34517
  32. ema21 : 0.343129
  33. ema50 : 0.342864
  34. ema100 : 0.343886
  35. price_ema9_diff : 0.0125128
  36. ema9_ema21_diff : 0.00595075
  37. ema21_ema50_diff : 0.000771195
  38. price_ema100_diff : 0.0162953
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.655433
  42. kc_percentage : 1.09632
  43. kc_width_percentage : 0.0301104
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    103785
  47. 5m_price_ema100_diff: 
    -0.000346554
  48. 5m_price: 
    103750
  49. 5m_correlation_with_coin: 
    0.690003
  50. btc_indicators
  51. 15m_ema100: 
    103319
  52. 15m_price_ema100_diff: 
    0.00416949
  53. 15m_price: 
    103750
  54. btc_indicators
  55. 1H_ema100: 
    103442
  56. 1H_price_ema100_diff: 
    0.0029714
  57. 1H_price: 
    103750
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 May 2025
05:57:41		 16 May 2025
06:20:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3495 0.3535 0.3435 1.5 0.04468
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 0.3495
  • Stop Loss: 0.3535
  • Take Profit: 0.3435

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3535 - 0.3495 = 0.004

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3495 - 0.3435 = 0.0059999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0059999999999999 / 0.004 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
696.5592 100 1993.0733 6.97
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 0.004

Taille de position = 8 / 0.004 = 2000

Taille de position USD = 2000 x 0.3495 = 699

Donc, tu peux acheter 2000 avec un stoploss a 0.3535

Avec un position size USD de 699$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2000 x 0.004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2000 x 0.0059999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2000
  • Taille de position USD 699
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.72 % 11.96 $
SL % Target SL $ Target
1.14 % 7.97 $
PNL PNL %
11.96 $ 1.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3415
            [stop_loss] => 0.3535
            [rr_ratio] => 2
            [closed_at] => 2025-05-16 08:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.3395
            [stop_loss] => 0.3535
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-16 08:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.3375
            [stop_loss] => 0.3535
            [rr_ratio] => 3
            [closed_at] => 2025-05-16 09:20:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.3355
            [stop_loss] => 0.3535
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-16 09:20:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.3335
            [stop_loss] => 0.3535
            [rr_ratio] => 4
            [closed_at] => 2025-05-16 09:20:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.3315
            [stop_loss] => 0.3535
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-16 09:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.3295
            [stop_loss] => 0.3535
            [rr_ratio] => 5
            [closed_at] => 2025-05-16 09:20:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.3275
            [stop_loss] => 0.3535
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-16 09:20:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.3255
            [stop_loss] => 0.3535
            [rr_ratio] => 6
            [closed_at] => 2025-05-16 09:20:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.3235
            [stop_loss] => 0.3535
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-16 09:20:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.3215
            [stop_loss] => 0.3535
            [rr_ratio] => 7
            [closed_at] => 2025-05-16 09:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00677
            [max_drawdown] => 0.00138
            [rr_ratio] => 4.91
            [high] => 0.35088000
            [low] => 0.34273000
            [mfe_pct] => 1.94
            [mae_pct] => 0.39
            [mfe_mae_ratio] => 4.91
            [candles_analyzed] => 24
            [start_at] => 2025-05-16T05:57:41-04:00
            [end_at] => 2025-05-16T07:57:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0143
            [max_drawdown] => 0.01021
            [rr_ratio] => 1.4
            [high] => 0.35971000
            [low] => 0.33520000
            [mfe_pct] => 4.09
            [mae_pct] => 2.92
            [mfe_mae_ratio] => 1.4
            [candles_analyzed] => 72
            [start_at] => 2025-05-16T05:57:41-04:00
            [end_at] => 2025-05-16T11:57:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.34982000
            [high_after] => 0.35971000
            [low_before] => 0.33100000
            [low_after] => 0.33520000
            [is_new_high] => 
            [is_new_low] => 
        )

)