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Trade

buy - POPCAT

Status
win
2025-06-16 07:14:53
30 minutes
PNL
0.93
Entry: 0.3333
Last: 0.33640000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.8037
Prediction 1 Accuracy
Weak Trade
0.55
Prediction 2 Accuracy
0 0.5
ML Trade Score: 40

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.001357743734
Details
  1. score: 2.14
  2. 1H
  3. ema9 - 0.33585
  4. ema21 - 0.330541
  5. ema50 - 0.324704
  6. ema100 - 0.327481
  7. price_ema9_diff - -0.00759288
  8. ema9_ema21_diff - 0.016059
  9. ema21_ema50_diff - 0.0179767
  10. price_ema100_diff - 0.0177681
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.553614
  14. kc_percentage - 0.585753
  15. kc_width_percentage - 0.0825145
  16. volume_ema_diff - -0.530827
    17. ¸
  17. 15m
  18. ema9 - 0.337052
  19. ema21 - 0.337665
  20. ema50 - 0.334035
  21. ema100 - 0.327929
  22. price_ema9_diff - -0.0111335
  23. ema9_ema21_diff - -0.00181374
  24. ema21_ema50_diff - 0.0108649
  25. price_ema100_diff - 0.0163782
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.425232
  29. kc_percentage - 0.128977
  30. kc_width_percentage - 0.0356939
  31. volume_ema_diff - -0.336681
    32. ¸
  32. 5m
  33. ema9 - 0.335269
  34. ema21 - 0.336831
  35. ema50 - 0.338027
  36. ema100 - 0.338057
  37. price_ema9_diff - -0.00587361
  38. ema9_ema21_diff - -0.00463664
  39. ema21_ema50_diff - -0.0035397
  40. price_ema100_diff - -0.0140736
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.300997
  44. kc_percentage - -0.144463
  45. kc_width_percentage - 0.016025
  46. volume_ema_diff - -0.141185
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 106630
  50. 5m_price_ema100_diff: 0.000799013
  51. 5m_price: 106715
  52. 5m_correlation_with_coin: 0.439652
  53. btc_indicators
  54. 15m_ema100: 105934
  55. 15m_price_ema100_diff: 0.00736958
  56. 15m_price: 106715
  57. btc_indicators
  58. 1H_ema100: 105855
  59. 1H_price_ema100_diff: 0.00812077
  60. 1H_price: 106715
    61. ¸

Long Trade on POPCAT

The 16 Jun 2025 at 07:14:53

With 3928 POPCAT at 0.3333$ per unit.

Position size of 1309 $

Take profit at 0.3364 (0.93 %) and Stop Loss at 0.3313 (0.6 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -73.33 %

Symbol Start at Seach Score Trade Score Trades Count
SOL 2025-06-16 07:15:25 0.9659 -85 2
WIF 2025-06-16 07:05:27 0.9691 -100 1
FARTCOIN 2025-06-16 07:18:56 0.9598 -100 2
1000BONK 2025-06-16 07:12:11 0.9553 -85 2
ONDO 2025-06-16 07:17:24 0.9514 -70 2
ADA 2025-06-16 07:17:48 0.9527 -60 1
AAVE 2025-04-09 23:02:49 0.9502 -100 1
AVAX 2025-06-16 07:12:40 0.948 -100 1
BROCCOLI 2025-06-28 23:39:43 0.9475 40 1

📌 Time Data

Start at Closed at Duration
16 Jun 2025
07:14:53		 16 Jun 2025
07:45:00		 30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3333 0.3313 0.3364 1.5 0.3041
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 0.3333
  • Stop Loss: 0.3313
  • Take Profit: 0.3364

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3313 - 0.3333 = -0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3333 - 0.3364 = -0.0031

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0031 / -0.002 = 1.55

📌 Position Size

Amount Margin Quantity Leverage
1309 100 3928 13.09
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 0.3333 = -1333.2

Donc, tu peux acheter -4000 avec un stoploss a 0.3313

Avec un position size USD de -1333.2$

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 -0.0031 = 12.4

Si Take Profit atteint, tu gagneras 12.4$

Résumé

  • Taille de position -4000
  • Taille de position USD -1333.2
  • Perte potentielle 8
  • Gain potentiel 12.4
  • Risk-Reward Ratio 1.55

📌 Peformances

TP % Target TP $ Target
0.93 % 12 $
SL % Target SL $ Target
0.6 % 7.9 $
PNL PNL %
12 $ 0.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5101 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3373
            [stop_loss] => 0.3313
            [rr_ratio] => 2
            [closed_at] => 2025-06-16 07:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.3383
            [stop_loss] => 0.3313
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.3393
            [stop_loss] => 0.3313
            [rr_ratio] => 3
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.3403
            [stop_loss] => 0.3313
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.3413
            [stop_loss] => 0.3313
            [rr_ratio] => 4
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.3423
            [stop_loss] => 0.3313
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.3433
            [stop_loss] => 0.3313
            [rr_ratio] => 5
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.3443
            [stop_loss] => 0.3313
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.3453
            [stop_loss] => 0.3313
            [rr_ratio] => 6
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.3463
            [stop_loss] => 0.3313
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.3473
            [stop_loss] => 0.3313
            [rr_ratio] => 7
            [closed_at] => 2025-06-16 08:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)