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Trade

buy - CETUS

Status
win
2025-05-28 02:38:08
56 minutes
PNL
2.60
Entry: 0.1536
Last: 0.15760000

Results

Status:
win
Trade Type:
buy
Prediction Score: -2.5793
Prediction 1 Accuracy
Weak Trade
0.56
Prediction 2 Accuracy
0 0.41
ML Trade Score: 130
ML Pullback Score: 6

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.00177702188
Details
  1. score: 2.2
  2. 1H
  3. ema9 - 0.157431
  4. ema21 - 0.150279
  5. ema50 - 0.143434
  6. ema100 - 0.144483
  7. price_ema9_diff - -0.0241498
  8. ema9_ema21_diff - 0.047595
  9. ema21_ema50_diff - 0.0477234
  10. price_ema100_diff - 0.0633069
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.582598
  14. kc_percentage - 0.595966
  15. kc_width_percentage - 0.192307
    16. ¸
  16. 15m
  17. ema9 - 0.158905
  18. ema21 - 0.160327
  19. ema50 - 0.156427
  20. ema100 - 0.148832
  21. price_ema9_diff - -0.0331962
  22. ema9_ema21_diff - -0.00886917
  23. ema21_ema50_diff - 0.0249297
  24. price_ema100_diff - 0.0322317
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.381731
  28. kc_percentage - 0.0287193
  29. kc_width_percentage - 0.0926213
    30. ¸
  30. 5m
  31. ema9 - 0.156693
  32. ema21 - 0.158545
  33. ema50 - 0.160666
  34. ema100 - 0.16173
  35. price_ema9_diff - -0.0195501
  36. ema9_ema21_diff - -0.0116809
  37. ema21_ema50_diff - -0.0132002
  38. price_ema100_diff - -0.0500842
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.292882
  42. kc_percentage - -0.197101
  43. kc_width_percentage - 0.044787
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 108800
  47. 5m_price_ema100_diff: -0.00123547
  48. 5m_price: 108666
  49. 5m_correlation_with_coin: 0.174261
  50. btc_indicators
  51. 15m_ema100: 109101
  52. 15m_price_ema100_diff: -0.00398856
  53. 15m_price: 108666
  54. btc_indicators
  55. 1H_ema100: 108901
  56. 1H_price_ema100_diff: -0.00216368
  57. 1H_price: 108666
    58. ¸

Long Trade on CETUS

The 28 May 2025 at 02:38:08

With 3001.2761 CETUS at 0.1536$ per unit.

Position size of 461.0861 $

Take profit at 0.1576 (2.6 %) and Stop Loss at 0.151 (1.69 %)

That's a 1.54 RR Trade

📌 Similar Trades

Similar Trade Score: -17.96 %

Symbol Start at Seach Score Trade Score Trades Count
BID 2025-07-02 20:22:55 0.9582 -53.33 3
DARK 2025-05-22 17:24:31 0.9569 -53.33 3
1000BONK 2025-07-03 07:58:09 0.9547 30 1
TUT 2025-06-01 04:32:05 0.9533 30 1
FORM 2025-05-05 22:18:12 0.9528 -35 2
MOCA 2025-04-11 08:19:19 0.9531 80 1
DOT 2025-05-08 09:00:24 0.9528 -100 1
LISTA 2025-06-02 23:43:26 0.9526 -100 1
DOG 2025-05-10 07:57:53 0.9523 40 1

📌 Time Data

Start at Closed at Duration
28 May 2025
02:38:08		 28 May 2025
03:35:00		 56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1536 0.151 0.1576 1.54 0.1093
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 0.1536
  • Stop Loss: 0.151
  • Take Profit: 0.1576

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.151 - 0.1536 = -0.0026

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1536 - 0.1576 = -0.004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.004 / -0.0026 = 1.5385

📌 Position Size

Amount Margin Quantity Leverage
461.0861 100 3001.2761 4.61
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 -0.0026

Taille de position = 8 / -0.0026 = -3076.92

Taille de position USD = -3076.92 x 0.1536 = -472.61

Donc, tu peux acheter -3076.92 avec un stoploss a 0.151

Avec un position size USD de -472.61$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3076.92 x -0.0026 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3076.92 x -0.004 = 12.31

Si Take Profit atteint, tu gagneras 12.31$

Résumé

  • Taille de position -3076.92
  • Taille de position USD -472.61
  • Perte potentielle 8
  • Gain potentiel 12.31
  • Risk-Reward Ratio 1.5385

📌 Peformances

TP % Target TP $ Target
2.6 % 12.01 $
SL % Target SL $ Target
1.69 % 7.8 $
PNL PNL %
12.01 $ 2.60
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1588
            [stop_loss] => 0.151
            [rr_ratio] => 2
            [closed_at] => 2025-05-28 03:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1601
            [stop_loss] => 0.151
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-28 04:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1614
            [stop_loss] => 0.151
            [rr_ratio] => 3
            [closed_at] => 2025-05-28 04:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1627
            [stop_loss] => 0.151
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-28 04:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.164
            [stop_loss] => 0.151
            [rr_ratio] => 4
            [closed_at] => 2025-05-28 04:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1653
            [stop_loss] => 0.151
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-28 04:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1666
            [stop_loss] => 0.151
            [rr_ratio] => 5
            [closed_at] => 2025-05-28 04:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1679
            [stop_loss] => 0.151
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-28 05:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1692
            [stop_loss] => 0.151
            [rr_ratio] => 6
            [closed_at] => 2025-05-28 05:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.1705
            [stop_loss] => 0.151
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-28 05:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00933
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.16293000
            [low] => 0.15394000
            [mfe_pct] => 6.07
            [mae_pct] => -0.22
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-28T02:38:08-04:00
            [end_at] => 2025-05-28T04:38:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01709
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.17069000
            [low] => 0.15394000
            [mfe_pct] => 11.13
            [mae_pct] => -0.22
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-28T02:38:08-04:00
            [end_at] => 2025-05-28T08:38:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17239000
            [high_after] => 0.17069000
            [low_before] => 0.15344000
            [low_after] => 0.15394000
            [is_new_high] => 
            [is_new_low] => 
        )

)