Trade

sell - PNUT

Status
win
2025-06-12 10:14:41
1 hour
PNL
1.27
Entry: 0.2603
Last: 0.25700000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.765
Prediction 1 Accuracy
Strong Trade
0.53
Prediction 2 Accuracy
0 0.48
ML Trade Score: 140

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.001461784312
Details
  1. score: 1.01
  2. 1H
  3. ema9 - 0.25939
  4. ema21 - 0.265249
  5. ema50 - 0.272948
  6. ema100 - 0.273418
  7. price_ema9_diff - 0.00346629
  8. ema9_ema21_diff - -0.0220889
  9. ema21_ema50_diff - -0.0282043
  10. price_ema100_diff - -0.0480169
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.365049
  14. kc_percentage - 0.256087
  15. kc_width_percentage - 0.0706855
  16. volume_ema_diff - 0.0459514
  17. ¸
  18. 15m
  19. ema9 - 0.257351
  20. ema21 - 0.257654
  21. ema50 - 0.261217
  22. ema100 - 0.268147
  23. price_ema9_diff - 0.0114174
  24. ema9_ema21_diff - -0.0011749
  25. ema21_ema50_diff - -0.0136412
  26. price_ema100_diff - -0.0293034
  27. all_emas_in_trend - True
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.558004
  30. kc_percentage - 0.7529
  31. kc_width_percentage - 0.0411519
  32. volume_ema_diff - -0.117901
  33. ¸
  34. 5m
  35. ema9 - 0.25807
  36. ema21 - 0.257253
  37. ema50 - 0.257184
  38. ema100 - 0.258078
  39. price_ema9_diff - 0.00860027
  40. ema9_ema21_diff - 0.00317624
  41. ema21_ema50_diff - 0.000266934
  42. price_ema100_diff - 0.00856914
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.647698
  46. kc_percentage - 1.01197
  47. kc_width_percentage - 0.0224945
  48. volume_ema_diff - -0.449005
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 107296
  53. 5m_price_ema100_diff: 0.000754978
  54. 5m_price: 107378
  55. 5m_correlation_with_coin: 0.678627
  56. btc_indicators
  57. 15m_ema100: 108108
  58. 15m_price_ema100_diff: -0.00675762
  59. 15m_price: 107378
  60. btc_indicators
  61. 1H_ema100: 108025
  62. 1H_price_ema100_diff: -0.00599414
  63. 1H_price: 107378
  64. ¸

Short Trade on PNUT

The 12 Jun 2025 at 10:14:41

With 3649 PNUT at 0.2603$ per unit.

Position size of 949.7 $

Take profit at 0.257 (1.3 %) and Stop Loss at 0.2625 (0.85 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -54.83 %

Symbol Start at Seach Score Trade Score Trades Count
POPCAT 2025-06-12 10:13:53 0.981 -100 1
LINK 2025-06-12 10:12:05 0.957 -13.33 3
ONDO 2025-06-12 10:13:07 0.9673 -100 1
RENDER 2025-06-12 10:11:12 0.9627 -30 2
ETHFI 2025-06-12 10:12:56 0.964 50 1
GOAT 2025-06-12 10:14:23 0.9604 -100 1
BRETT 2025-06-12 10:13:32 0.9511 -100 1
HIFI 2025-05-14 20:45:52 0.9435 45 2
FET 2025-06-12 09:37:01 0.9418 -100 1
SUI 2025-06-12 10:06:58 0.9418 -100 1

📌 Time Data

Start at Closed at Duration
12 Jun 2025
10:14:41
12 Jun 2025
11:15:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2603 0.2625 0.257 1.5 0.2188
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 0.2603
  • Stop Loss: 0.2625
  • Take Profit: 0.257

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2625 - 0.2603 = 0.0022

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2603 - 0.257 = 0.0033

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0033 / 0.0022 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
949.7 100 3649 9.50
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 0.0022

Taille de position = 8 / 0.0022 = 3636.36

Taille de position USD = 3636.36 x 0.2603 = 946.54

Donc, tu peux acheter 3636.36 avec un stoploss a 0.2625

Avec un position size USD de 946.54$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3636.36 x 0.0022 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3636.36 x 0.0033 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 3636.36
  • Taille de position USD 946.54
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.85 % 8 $
PNL PNL %
12 $ 1.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.534 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2559
            [stop_loss] => 0.2625
            [rr_ratio] => 2
            [closed_at] => 2025-06-12 11:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2548
            [stop_loss] => 0.2625
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-12 11:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2537
            [stop_loss] => 0.2625
            [rr_ratio] => 3
            [closed_at] => 2025-06-12 11:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2526
            [stop_loss] => 0.2625
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-12 11:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2515
            [stop_loss] => 0.2625
            [rr_ratio] => 4
            [closed_at] => 2025-06-12 11:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2504
            [stop_loss] => 0.2625
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-12 11:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2493
            [stop_loss] => 0.2625
            [rr_ratio] => 5
            [closed_at] => 2025-06-12 11:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.2482
            [stop_loss] => 0.2625
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-12 11:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2471
            [stop_loss] => 0.2625
            [rr_ratio] => 6
            [closed_at] => 2025-06-12 11:50:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.246
            [stop_loss] => 0.2625
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-12 15:45:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.2449
            [stop_loss] => 0.2625
            [rr_ratio] => 7
            [closed_at] => 2025-06-12 15:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)