Trade

buy - HOUSE

Status
win
2025-05-23 03:55:54
44 minutes
PNL
2.04
Entry: 0.0559
Last: 0.05704000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.0023
Prediction 1 Accuracy
Weak Trade
0.55
Prediction 2 Accuracy
0 0.45
ML Trade Score: 100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0005073492733
Details
  1. score: 2
  2. 1H: ema9 - 0.0560832
  3. 1H: ema21 - 0.0553237
  4. 1H: ema50 - 0.0526319
  5. 1H: ema100 - 0.0471202
  6. 1H: price_ema9_diff - -0.00326715
  7. 1H: ema9_ema21_diff - 0.0137279
  8. 1H: ema21_ema50_diff - 0.0511429
  9. 1H: price_ema100_diff - 0.186325
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.520165
  13. 1H: kc_percentage - 0.54459
  14. 1H: kc_width_percentage - 0.2104
  15. ¸
  16. 15m: ema9 - 0.0568691
  17. 15m: ema21 - 0.0568417
  18. 15m: ema50 - 0.0560519
  19. 15m: ema100 - 0.0563395
  20. 15m: price_ema9_diff - -0.0170419
  21. 15m: ema9_ema21_diff - 0.000481671
  22. 15m: ema21_ema50_diff - 0.0140903
  23. 15m: price_ema100_diff - -0.00780242
  24. 15m: all_emas_in_trend - True
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.46174
  27. 15m: kc_percentage - 0.292854
  28. 15m: kc_width_percentage - 0.0840554
  29. ¸
  30. 5m: ema9 - 0.0564982
  31. 5m: ema21 - 0.0568528
  32. 5m: ema50 - 0.0570391
  33. 5m: ema100 - 0.0564939
  34. 5m: price_ema9_diff - -0.0105882
  35. 5m: ema9_ema21_diff - -0.0062384
  36. 5m: ema21_ema50_diff - -0.00326467
  37. 5m: price_ema100_diff - -0.0105137
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.354698
  41. 5m: kc_percentage - -0.00191348
  42. 5m: kc_width_percentage - 0.0331619
  43. ¸

Long Trade on HOUSE

The 23 May 2025 at 03:55:54

With 587.6 HOUSE at 0.0559$ per unit.

Take profit at 0.05704 (2 %) and Stop Loss at 0.05514 (1.4 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -33.33 %

Symbol Start at Seach Score Trade Score Trades Count
HYPE 2025-04-17 10:31:59 0.904 -100 1
HYPE 2025-04-28 08:05:40 0.8904 30 2
AAVE 2025-04-24 18:55:41 0.8929 100 2
APE 2025-06-06 06:41:39 0.8963 -100 1
GOAT 2025-04-23 03:12:50 0.8942 40 2
ORCA 2025-04-14 05:51:52 0.8934 -100 1
UNI 2025-05-28 09:06:43 0.8871 -100 1
PNUT 2025-04-28 09:40:32 0.8862 30 1
EOS 2025-04-20 18:20:13 0.8846 -100 1

📌 Time Data

Start at Closed at Duration
23 May 2025
03:55:54
23 May 2025
04:40:00
44 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0559 0.05514 0.05704 1.5 0.03365
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 0.0559
  • Stop Loss: 0.05514
  • Take Profit: 0.05704

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05514 - 0.0559 = -0.00076

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0559 - 0.05704 = -0.00114

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00114 / -0.00076 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
587.6 100 10510 5.88
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 -0.00076

Taille de position = 8 / -0.00076 = -10526.32

Taille de position USD = -10526.32 x 0.0559 = -588.42

Donc, tu peux acheter -10526.32 avec un stoploss a 0.05514

Avec un position size USD de -588.42$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -10526.32 x -0.00076 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -10526.32 x -0.00114 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -10526.32
  • Taille de position USD -588.42
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2 % 12 $
SL % Target SL $ Target
1.4 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 2.04 -0.93023255813953

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.05742
            [stop_loss] => 0.05514
            [rr_ratio] => 2
            [closed_at] => 2025-05-23 04:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0578
            [stop_loss] => 0.05514
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-23 04:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.05818
            [stop_loss] => 0.05514
            [rr_ratio] => 3
            [closed_at] => 2025-05-23 04:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.05856
            [stop_loss] => 0.05514
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-23 04:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.05894
            [stop_loss] => 0.05514
            [rr_ratio] => 4
            [closed_at] => 2025-05-23 05:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.05932
            [stop_loss] => 0.05514
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-23 06:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.0597
            [stop_loss] => 0.05514
            [rr_ratio] => 5
            [closed_at] => 2025-05-23 06:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)