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Trade

buy - PNUT

Status
win
2025-06-30 06:50:16
19 minutes
PNL
1.28
Entry: 0.2335
Last: 0.23650000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.3667
Prediction 1 Accuracy
Weak Trade
0.64
Prediction 2 Accuracy
0 0.53
ML Trade Score: 40

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.001338713877
Details
  1. score: 2.04
  2. 1H
  3. ema9 - 0.234893
  4. ema21 - 0.230621
  5. ema50 - 0.223039
  6. ema100 - 0.216334
  7. price_ema9_diff - -0.00580669
  8. ema9_ema21_diff - 0.0185278
  9. ema21_ema50_diff - 0.0339913
  10. price_ema100_diff - 0.0794881
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.573847
  14. kc_percentage - 0.628418
  15. kc_width_percentage - 0.085857
  16. volume_ema_diff - 0.466068
  17. volume_ema1 - 1331802.9067508
  18. volume_ema2 - 908418.08928808
    19. ¸
  19. 15m
  20. ema9 - 0.236261
  21. ema21 - 0.236671
  22. ema50 - 0.234054
  23. ema100 - 0.230045
  24. price_ema9_diff - -0.0115624
  25. ema9_ema21_diff - -0.00173113
  26. ema21_ema50_diff - 0.0111811
  27. price_ema100_diff - 0.0151455
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.423007
  31. kc_percentage - 0.200005
  32. kc_width_percentage - 0.0454764
  33. volume_ema_diff - -0.469728
  34. volume_ema1 - 184172.06775226
  35. volume_ema2 - 347316.50980891
    36. ¸
  36. 5m
  37. ema9 - 0.235028
  38. ema21 - 0.236285
  39. ema50 - 0.237011
  40. ema100 - 0.235725
  41. price_ema9_diff - -0.00637711
  42. ema9_ema21_diff - -0.00531752
  43. ema21_ema50_diff - -0.00306291
  44. price_ema100_diff - -0.00931467
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.342142
  48. kc_percentage - -0.0383114
  49. kc_width_percentage - 0.021278
  50. volume_ema_diff - -0.49158
  51. volume_ema1 - 56369.492861913
  52. volume_ema2 - 110872.11920669
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 107833
  56. 5m_price_ema100_diff: -0.00235206
  57. 5m_price: 107579
  58. 5m_correlation_with_coin: 0.363022
  59. btc_indicators
  60. 15m_ema100: 107925
  61. 15m_price_ema100_diff: -0.00320657
  62. 15m_price: 107579
  63. btc_indicators
  64. 1H_ema100: 107552
  65. 1H_price_ema100_diff: 0.000247819
  66. 1H_price: 107579
    67. ¸

Long Trade on PNUT

The 30 Jun 2025 at 06:50:16

With 3984 PNUT at 0.2335$ per unit.

Position size of 930.4 $

Take profit at 0.2365 (1.3 %) and Stop Loss at 0.2315 (0.86 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -23.5 %

Symbol Start at Seach Score Trade Score Trades Count
LISTA 2025-04-26 09:51:46 0.9385 30 1
ADA 2025-04-12 22:20:15 0.9337 -100 1
SAND 2025-04-24 22:47:06 0.9302 -85 2
TRX 2025-04-26 18:50:25 0.9311 30 1
ANIME 2025-05-13 18:54:49 0.9295 -100 1
AAVE 2025-06-02 23:04:38 0.9275 40 2
UNI 2025-06-07 21:18:31 0.9275 50 1
LTC 2025-04-24 22:50:22 0.9261 -100 1
ATOM 2025-06-10 20:33:15 0.9208 -100 1
BTC 2025-04-23 06:20:47 0.9194 100 1

📌 Time Data

Start at Closed at Duration
30 Jun 2025
06:50:16		 30 Jun 2025
07:10:00		 19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2335 0.2315 0.2365 1.5 0.2259
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 0.2335
  • Stop Loss: 0.2315
  • Take Profit: 0.2365

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2315 - 0.2335 = -0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2335 - 0.2365 = -0.003

  • Risk-Reward Ratio:

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

📌 Position Size

Amount Margin Quantity Leverage
930.4 100 3984 9.30
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 0.2335 = -934

Donc, tu peux acheter -4000 avec un stoploss a 0.2315

Avec un position size USD de -934$

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 -934
  • 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 % 8 $
PNL PNL %
12 $ 1.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5225 % 61 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2375
            [stop_loss] => 0.2315
            [rr_ratio] => 2
            [closed_at] => 2025-06-30 07:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2385
            [stop_loss] => 0.2315
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-30 08:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.2395
            [stop_loss] => 0.2315
            [rr_ratio] => 3
            [closed_at] => 2025-06-30 08:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.2405
            [stop_loss] => 0.2315
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-30 08:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.2415
            [stop_loss] => 0.2315
            [rr_ratio] => 4
            [closed_at] => 2025-06-30 08:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.2425
            [stop_loss] => 0.2315
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-30 08:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2435
            [stop_loss] => 0.2315
            [rr_ratio] => 5
            [closed_at] => 2025-06-30 08:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.2445
            [stop_loss] => 0.2315
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-30 08:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2455
            [stop_loss] => 0.2315
            [rr_ratio] => 6
            [closed_at] => 2025-06-30 08:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.2465
            [stop_loss] => 0.2315
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-30 08:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2475
            [stop_loss] => 0.2315
            [rr_ratio] => 7
            [closed_at] => 2025-06-30 08:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)