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Trade

buy - GIGA

Status
win
2025-05-29 20:57:56
3 hours
PNL
4.14
Entry: 0.02707
Last: 0.02819000

Results

Status:
win
Trade Type:
buy
Prediction Score: 2.035
Prediction 1 Accuracy
Strong Trade
0.51
Prediction 2 Accuracy
1 0.47
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0004986921879
Details
  1. score: 2.01
  2. 1H: ema9 - 0.0271199
  3. 1H: ema21 - 0.0258184
  4. 1H: ema50 - 0.0245088
  5. 1H: ema100 - 0.0238911
  6. 1H: price_ema9_diff - -0.00184287
  7. 1H: ema9_ema21_diff - 0.0504096
  8. 1H: ema21_ema50_diff - 0.0534341
  9. 1H: price_ema100_diff - 0.133054
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.581038
  13. 1H: kc_percentage - 0.693363
  14. 1H: kc_width_percentage - 0.223007
    15. ¸
  15. 15m: ema9 - 0.0280931
  16. 15m: ema21 - 0.0277719
  17. 15m: ema50 - 0.0266451
  18. 15m: ema100 - 0.0253992
  19. 15m: price_ema9_diff - -0.0364198
  20. 15m: ema9_ema21_diff - 0.0115648
  21. 15m: ema21_ema50_diff - 0.0422907
  22. 15m: price_ema100_diff - 0.065778
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.464596
  26. 15m: kc_percentage - 0.301942
  27. 15m: kc_width_percentage - 0.138899
    28. ¸
  28. 5m: ema9 - 0.0277024
  29. 5m: ema21 - 0.0280707
  30. 5m: ema50 - 0.0279374
  31. 5m: ema100 - 0.027177
  32. 5m: price_ema9_diff - -0.0228296
  33. 5m: ema9_ema21_diff - -0.0131216
  34. 5m: ema21_ema50_diff - 0.00477322
  35. 5m: price_ema100_diff - -0.00394018
  36. 5m: all_emas_in_trend - False
  37. 5m: all_emas_and_price_in_trend - False
  38. 5m: rsi - 0.345122
  39. 5m: kc_percentage - -0.0142333
  40. 5m: kc_width_percentage - 0.0707611
    41. ¸

Long Trade on GIGA

The 29 May 2025 at 20:57:56

With 289.5 GIGA at 0.02707$ per unit.

Take profit at 0.02819 (4.1 %) and Stop Loss at 0.02632 (2.8 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -16.25 %

Symbol Start at Seach Score Trade Score Trades Count
MASK 2025-06-03 17:48:52 0.8999 60 1
MASK 2025-05-29 04:28:13 0.889 -30 2
CAKE 2025-06-02 23:00:48 0.8919 -100 2
XLM 2025-04-17 15:25:49 0.8882 70 4
TRX 2025-05-14 04:53:52 0.8868 -100 1
OP 2025-05-23 00:46:44 0.884 40 1
CHILLGUY 2025-05-08 07:15:26 0.8804 30 1
IMX 2025-05-02 00:44:38 0.8801 -100 1

📌 Time Data

Start at Closed at Duration
29 May 2025
20:57:56		 30 May 2025
00:50:00		 3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02707 0.02632 0.02819 1.5 0.0216
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 0.02707
  • Stop Loss: 0.02632
  • Take Profit: 0.02819

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02632 - 0.02707 = -0.00075

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02707 - 0.02819 = -0.00112

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00112 / -0.00075 = 1.4933

📌 Position Size

Amount Margin Quantity Leverage
289.5 100 10690 2.90
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 -0.00075

Taille de position = 8 / -0.00075 = -10666.67

Taille de position USD = -10666.67 x 0.02707 = -288.75

Donc, tu peux acheter -10666.67 avec un stoploss a 0.02632

Avec un position size USD de -288.75$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -10666.67 x -0.00075 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -10666.67 x -0.00112 = 11.95

Si Take Profit atteint, tu gagneras 11.95$

Résumé

  • Taille de position -10666.67
  • Taille de position USD -288.75
  • Perte potentielle 8
  • Gain potentiel 11.95
  • Risk-Reward Ratio 1.4933

📌 Peformances

TP % Target TP $ Target
4.1 % 12 $
SL % Target SL $ Target
2.8 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 4.14 -1.0343553749538

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02857
            [stop_loss] => 0.02632
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 02:05:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.028945
            [stop_loss] => 0.02632
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 02:05:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.02932
            [stop_loss] => 0.02632
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 02:05:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.029695
            [stop_loss] => 0.02632
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 02:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.03007
            [stop_loss] => 0.02632
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 02:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.030445
            [stop_loss] => 0.02632
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 02:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.03082
            [stop_loss] => 0.02632
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 02:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)