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Trade

buy - ENA

Status
win
2025-06-03 00:12:09
52 minutes
PNL
1.26
Entry: 0.3255
Last: 0.32960000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.27
Prediction 1 Accuracy
Weak Trade
0.67
Prediction 2 Accuracy
0 0.62
ML Trade Score: 100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.001800910653
Details
  1. score: 2.03
  2. 1H: ema9 - 0.325203
  3. 1H: ema21 - 0.319051
  4. 1H: ema50 - 0.315198
  5. 1H: ema100 - 0.320086
  6. 1H: price_ema9_diff - 0.000911768
  7. 1H: ema9_ema21_diff - 0.0192828
  8. 1H: ema21_ema50_diff - 0.0122231
  9. 1H: price_ema100_diff - 0.0169121
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - True
  12. 1H: rsi - 0.586413
  13. 1H: kc_percentage - 0.711808
  14. 1H: kc_width_percentage - 0.0884189
    15. ¸
  15. 15m: ema9 - 0.329349
  16. 15m: ema21 - 0.328639
  17. 15m: ema50 - 0.322935
  18. 15m: ema100 - 0.317077
  19. 15m: price_ema9_diff - -0.0116885
  20. 15m: ema9_ema21_diff - 0.00216054
  21. 15m: ema21_ema50_diff - 0.017663
  22. 15m: price_ema100_diff - 0.0265639
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.464293
  26. 15m: kc_percentage - 0.27542
  27. 15m: kc_width_percentage - 0.0454252
    28. ¸
  28. 5m: ema9 - 0.327676
  29. 5m: ema21 - 0.329234
  30. 5m: ema50 - 0.329421
  31. 5m: ema100 - 0.325595
  32. 5m: price_ema9_diff - -0.00664163
  33. 5m: ema9_ema21_diff - -0.0047328
  34. 5m: ema21_ema50_diff - -0.000567698
  35. 5m: price_ema100_diff - -0.000293723
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.332114
  39. 5m: kc_percentage - -0.0259039
  40. 5m: kc_width_percentage - 0.0212397
    41. ¸

Long Trade on ENA

The 03 Jun 2025 at 00:12:09

With 964 ENA at 0.3255$ per unit.

Take profit at 0.3296 (1.3 %) and Stop Loss at 0.3228 (0.83 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 16 %

Symbol Start at Seach Score Trade Score Trades Count
NEAR 2025-06-03 00:14:31 0.9802 -35 2
INJ 2025-06-03 00:15:19 0.9754 30 2
FET 2025-06-03 00:15:06 0.9759 35 2
ARB 2025-06-03 00:15:28 0.9757 40 2
OP 2025-06-03 00:10:30 0.9777 40 1
EIGEN 2025-06-03 00:13:13 0.9731 40 1
WLD 2025-06-03 00:11:41 0.9725 40 1
RENDER 2025-06-03 00:12:55 0.9717 -100 1
AVAX 2025-06-03 00:18:42 0.9711 40 1
IO 2025-06-03 00:12:21 0.9695 30 1

📌 Time Data

Start at Closed at Duration
03 Jun 2025
00:12:09		 03 Jun 2025
01:05:00		 52 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3255 0.3228 0.3296 1.5 0.2937
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 0.3255
  • Stop Loss: 0.3228
  • Take Profit: 0.3296

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3228 - 0.3255 = -0.0027

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3255 - 0.3296 = -0.0041

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0041 / -0.0027 = 1.5185

📌 Position Size

Amount Margin Quantity Leverage
964 100 2961 9.64
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 -0.0027

Taille de position = 8 / -0.0027 = -2962.96

Taille de position USD = -2962.96 x 0.3255 = -964.44

Donc, tu peux acheter -2962.96 avec un stoploss a 0.3228

Avec un position size USD de -964.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2962.96 x -0.0027 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2962.96 x -0.0041 = 12.15

Si Take Profit atteint, tu gagneras 12.15$

Résumé

  • Taille de position -2962.96
  • Taille de position USD -964.44
  • Perte potentielle 8
  • Gain potentiel 12.15
  • Risk-Reward Ratio 1.5185

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.83 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.26 -0.2457757296467

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3309
            [stop_loss] => 0.3228
            [rr_ratio] => 2
            [closed_at] => 2025-06-03 01:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.33225
            [stop_loss] => 0.3228
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-03 01:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.3336
            [stop_loss] => 0.3228
            [rr_ratio] => 3
            [closed_at] => 2025-06-03 01:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.33495
            [stop_loss] => 0.3228
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-03 01:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.3363
            [stop_loss] => 0.3228
            [rr_ratio] => 4
            [closed_at] => 2025-06-03 01:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.33765
            [stop_loss] => 0.3228
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-03 03:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.339
            [stop_loss] => 0.3228
            [rr_ratio] => 5
            [closed_at] => 2025-06-03 03:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)