Trade

buy - DOG

Status
win
2025-05-23 02:52:08
17 minutes
PNL
2.01
Entry: 0.005171
Last: 0.00527500

Results

Status:
win
Trade Type:
buy
Prediction Score: -4.0044
Prediction 1 Accuracy
Strong Trade
0.56
Prediction 2 Accuracy
1 0.49
ML Trade Score: 90

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 4.623317323E-5
Details
  1. score: 2.1
  2. 1H: ema9 - 0.00533153
  3. 1H: ema21 - 0.00512535
  4. 1H: ema50 - 0.00468116
  5. 1H: ema100 - 0.00427849
  6. 1H: price_ema9_diff - -0.0301107
  7. 1H: ema9_ema21_diff - 0.0402272
  8. 1H: ema21_ema50_diff - 0.0948884
  9. 1H: price_ema100_diff - 0.208602
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.570097
  13. 1H: kc_percentage - 0.53478
  14. 1H: kc_width_percentage - 0.149171
  15. ¸
  16. 15m: ema9 - 0.00528763
  17. 15m: ema21 - 0.00534763
  18. 15m: ema50 - 0.00528152
  19. 15m: ema100 - 0.00509124
  20. 15m: price_ema9_diff - -0.0220577
  21. 15m: ema9_ema21_diff - -0.0112202
  22. 15m: ema21_ema50_diff - 0.0125165
  23. 15m: price_ema100_diff - 0.0156644
  24. 15m: all_emas_in_trend - False
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.357873
  27. 15m: kc_percentage - 0.0218526
  28. 15m: kc_width_percentage - 0.0706105
  29. ¸
  30. 5m: ema9 - 0.0052408
  31. 5m: ema21 - 0.00528298
  32. 5m: ema50 - 0.00534896
  33. 5m: ema100 - 0.00540979
  34. 5m: price_ema9_diff - -0.0133191
  35. 5m: ema9_ema21_diff - -0.0079854
  36. 5m: ema21_ema50_diff - -0.0123341
  37. 5m: price_ema100_diff - -0.0441409
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.303365
  41. 5m: kc_percentage - -0.103559
  42. 5m: kc_width_percentage - 0.0349857
  43. ¸

Long Trade on DOG

The 23 May 2025 at 02:52:08

With 596.5 DOG at 0.005171$ per unit.

Take profit at 0.005275 (2 %) and Stop Loss at 0.005102 (1.3 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -62.08 %

Symbol Start at Seach Score Trade Score Trades Count
LAYER 2025-04-19 15:32:09 0.966 -100 3
WIF 2025-05-12 11:04:30 0.9658 53.33 3
WIF 2025-04-12 23:41:07 0.9608 -80 1
APE 2025-06-04 12:16:40 0.9627 -100 2
APE 2025-06-03 02:38:05 0.9616 -100 1
GOAT 2025-05-12 07:19:41 0.9616 -100 2
SSV 2025-06-03 20:25:38 0.9599 30 1
VIRTUAL 2025-05-02 17:49:33 0.9599 -100 1

📌 Time Data

Start at Closed at Duration
23 May 2025
02:52:08
23 May 2025
03:10:00
17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.005171 0.005102 0.005275 1.5 0.004736
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 0.005171
  • Stop Loss: 0.005102
  • Take Profit: 0.005275

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.005102 - 0.005171 = -6.9E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.005171 - 0.005275 = -0.000104

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.000104 / -6.9E-5 = 1.5072

📌 Position Size

Amount Margin Quantity Leverage
596.5 100 115400 5.97
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 -6.9E-5

Taille de position = 8 / -6.9E-5 = -115942.03

Taille de position USD = -115942.03 x 0.005171 = -599.54

Donc, tu peux acheter -115942.03 avec un stoploss a 0.005102

Avec un position size USD de -599.54$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -115942.03 x -6.9E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -115942.03 x -0.000104 = 12.06

Si Take Profit atteint, tu gagneras 12.06$

Résumé

  • Taille de position -115942.03
  • Taille de position USD -599.54
  • Perte potentielle 8
  • Gain potentiel 12.06
  • Risk-Reward Ratio 1.5072

📌 Peformances

TP % Target TP $ Target
2 % 12 $
SL % Target SL $ Target
1.3 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 2.01 -0.30941790756141

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.005309
            [stop_loss] => 0.005102
            [rr_ratio] => 2
            [closed_at] => 2025-05-23 03:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0053435
            [stop_loss] => 0.005102
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-23 04:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.005378
            [stop_loss] => 0.005102
            [rr_ratio] => 3
            [closed_at] => 2025-05-23 04:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.0054125
            [stop_loss] => 0.005102
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-23 05:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.005447
            [stop_loss] => 0.005102
            [rr_ratio] => 4
            [closed_at] => 2025-05-23 05:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.0054815
            [stop_loss] => 0.005102
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-23 06:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.005516
            [stop_loss] => 0.005102
            [rr_ratio] => 5
            [closed_at] => 2025-05-23 07:50:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)