Trade

buy - PNUT

Status
win
2025-06-30 06:59:52
10 minutes
PNL
1.29
Entry: 0.233
Last: 0.23600000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.4273
Prediction 1 Accuracy
Weak Trade
0.61
Prediction 2 Accuracy
0 0.52
ML Trade Score: 50

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.001343213001
Details
  1. score: 2.06
  2. 1H
  3. ema9 - 0.234787
  4. ema21 - 0.230572
  5. ema50 - 0.223018
  6. ema100 - 0.216323
  7. price_ema9_diff - -0.00761519
  8. ema9_ema21_diff - 0.0182809
  9. ema21_ema50_diff - 0.0338717
  10. price_ema100_diff - 0.0770905
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.565281
  14. kc_percentage - 0.602538
  15. kc_width_percentage - 0.0877004
  16. volume_ema_diff - 0.526997
  17. volume_ema1 - 1399273.2862534
  18. volume_ema2 - 916355.78099426
  19. ¸
  20. 15m
  21. ema9 - 0.236261
  22. ema21 - 0.236671
  23. ema50 - 0.234054
  24. ema100 - 0.230045
  25. price_ema9_diff - -0.0138057
  26. ema9_ema21_diff - -0.00173113
  27. ema21_ema50_diff - 0.0111811
  28. price_ema100_diff - 0.0128416
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.423007
  32. kc_percentage - 0.1501
  33. kc_width_percentage - 0.0455798
  34. volume_ema_diff - -0.469728
  35. volume_ema1 - 184172.06775226
  36. volume_ema2 - 347316.50980891
  37. ¸
  38. 5m
  39. ema9 - 0.234507
  40. ema21 - 0.235927
  41. ema50 - 0.236843
  42. ema100 - 0.235778
  43. price_ema9_diff - -0.00642982
  44. ema9_ema21_diff - -0.0060159
  45. ema21_ema50_diff - -0.00386714
  46. price_ema100_diff - -0.0117831
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.332509
  50. kc_percentage - -0.0648954
  51. kc_width_percentage - 0.0215595
  52. volume_ema_diff - -0.212149
  53. volume_ema1 - 90381.303112542
  54. volume_ema2 - 114718.85307628
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 107840
  59. 5m_price_ema100_diff: -0.00242948
  60. 5m_price: 107578
  61. 5m_correlation_with_coin: 0.35571
  62. btc_indicators
  63. 15m_ema100: 107925
  64. 15m_price_ema100_diff: -0.00320657
  65. 15m_price: 107579
  66. btc_indicators
  67. 1H_ema100: 107552
  68. 1H_price_ema100_diff: 0.000242351
  69. 1H_price: 107578
  70. ¸

Long Trade on PNUT

The 30 Jun 2025 at 06:59:52

With 3971 PNUT at 0.233$ per unit.

Position size of 925.1 $

Take profit at 0.236 (1.3 %) and Stop Loss at 0.231 (0.86 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -40 %

Symbol Start at Seach Score Trade Score Trades Count
LISTA 2025-04-26 10:06:51 0.9296 30 2
ADA 2025-04-12 22:20:15 0.9349 -100 1
ANIME 2025-05-13 19:02:03 0.9271 -35 2
SAND 2025-04-24 22:47:06 0.9265 -85 2
TRX 2025-04-26 18:50:25 0.9297 30 1
AAVE 2025-06-02 23:04:38 0.9279 40 2
ATOM 2025-06-10 20:33:15 0.9285 -100 1
PENGU 2025-04-28 06:20:22 0.9206 -100 1

📌 Time Data

Start at Closed at Duration
30 Jun 2025
06:59:52
30 Jun 2025
07:10:00
10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.233 0.231 0.236 1.5 0.2229
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 0.233
  • Stop Loss: 0.231
  • Take Profit: 0.236

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.231 - 0.233 = -0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.233 - 0.236 = -0.003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.003 / -0.002 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
925.1 100 3971 9.25
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 -0.002

Taille de position = 8 / -0.002 = -4000

Taille de position USD = -4000 x 0.233 = -932

Donc, tu peux acheter -4000 avec un stoploss a 0.231

Avec un position size USD de -932$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4000 x -0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4000 x -0.003 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -4000
  • Taille de position USD -932
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.86 % 7.9 $
PNL PNL %
12 $ 1.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.309 % 36 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.237
            [stop_loss] => 0.231
            [rr_ratio] => 2
            [closed_at] => 2025-06-30 07:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.238
            [stop_loss] => 0.231
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-30 07:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.239
            [stop_loss] => 0.231
            [rr_ratio] => 3
            [closed_at] => 2025-06-30 09:10:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.24
            [stop_loss] => 0.231
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-30 09:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.241
            [stop_loss] => 0.231
            [rr_ratio] => 4
            [closed_at] => 2025-06-30 09:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.242
            [stop_loss] => 0.231
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-30 09:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.243
            [stop_loss] => 0.231
            [rr_ratio] => 5
            [closed_at] => 2025-06-30 09:10:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.244
            [stop_loss] => 0.231
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-30 09:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.245
            [stop_loss] => 0.231
            [rr_ratio] => 6
            [closed_at] => 2025-06-30 09:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.246
            [stop_loss] => 0.231
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-30 09:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.247
            [stop_loss] => 0.231
            [rr_ratio] => 7
            [closed_at] => 2025-06-30 09:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)