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Trade

buy - ALGO

Status
win
2025-05-09 12:08:47
26 minutes
PNL
1.30
Entry: 0.23
Last: 0.23300000

Results

Status:
win
Trade Type:
buy
Prediction Score: -1.5022
Prediction 1 Accuracy
Strong Trade
n/a
Prediction 2 Accuracy
0 n/a
ML Trade Score: 60

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.001331833949
Details
  1. score: 2.01
  2. 1H: ema9 - 0.232436
  3. 1H: ema21 - 0.228671
  4. 1H: ema50 - 0.219772
  5. 1H: price_ema9_diff - -0.010654
  6. 1H: ema9_ema21_diff - 0.0164642
  7. 1H: ema21_ema50_diff - 0.0404922
  8. 1H: all_emas_in_trend - True
  9. 1H: all_emas_and_price_in_trend - False
  10. 1H: rsi - 0.569687
  11. 1H: kc_percentage - 0.555891
  12. 1H: kc_width_percentage - 0.0751191
    13. ¸
  13. 15m: ema9 - 0.232696
  14. 15m: ema21 - 0.233412
  15. 15m: ema50 - 0.231675
  16. 15m: price_ema9_diff - -0.0115514
  17. 15m: ema9_ema21_diff - -0.00306816
  18. 15m: ema21_ema50_diff - 0.00749596
  19. 15m: all_emas_in_trend - False
  20. 15m: all_emas_and_price_in_trend - False
  21. 15m: rsi - 0.401229
  22. 15m: kc_percentage - 0.159946
  23. 15m: kc_width_percentage - 0.043641
    24. ¸
  24. 5m: ema9 - 0.231931
  25. 5m: ema21 - 0.232708
  26. 5m: ema50 - 0.233654
  27. 5m: price_ema9_diff - -0.0082991
  28. 5m: ema9_ema21_diff - -0.00333903
  29. 5m: ema21_ema50_diff - -0.00405075
  30. 5m: all_emas_in_trend - True
  31. 5m: all_emas_and_price_in_trend - True
  32. 5m: rsi - 0.3598
  33. 5m: kc_percentage - -0.00950246
  34. 5m: kc_width_percentage - 0.0226571
    35. ¸

Long Trade on ALGO

The 09 May 2025 at 12:08:47

With 921 ALGO at 0.23$ per unit.

Take profit at 0.233 (1.3 %) and Stop Loss at 0.228 (0.87 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -2.29 %

Symbol Start at Seach Score Trade Score Trades Count
FET 2025-04-17 22:10:47 0.9497 100 1
UNI 2025-05-26 11:01:05 0.9453 48.57 7
MEW 2025-05-12 08:28:52 0.9425 -100 3
TAIKO 2025-05-09 12:10:30 0.9425 40 1
OP 2025-05-11 03:14:54 0.9404 -100 2

📌 Time Data

Start at Closed at Duration
09 May 2025
12:08:47		 09 May 2025
12:35:00		 26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.23 0.228 0.233 1.5 0.1925
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 0.23
  • Stop Loss: 0.228
  • Take Profit: 0.233

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.228 - 0.23 = -0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.23 - 0.233 = -0.003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.003 / -0.002 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
921 100 4005 9.21
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 0.23 = -920

Donc, tu peux acheter -4000 avec un stoploss a 0.228

Avec un position size USD de -920$

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 -0.003 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -4000
  • Taille de position USD -920
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.87 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.30 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.234
            [stop_loss] => 0.228
            [rr_ratio] => 2
            [closed_at] => 2025-05-09 13:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.235
            [stop_loss] => 0.228
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-09 13:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.236
            [stop_loss] => 0.228
            [rr_ratio] => 3
            [closed_at] => 2025-05-09 16:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)