Trade

buy - DOLO

Status
win
2025-05-26 21:08:37
41 minutes
PNL
3.25
Entry: 0.04308
Last: 0.04448000

Results

Status:
win
Trade Type:
buy
Prediction Score: -6.8956
Prediction 1 Accuracy
Strong Trade
0.64
Prediction 2 Accuracy
1 0.44
ML Trade Score: 100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0006224365877
Details
  1. score: 2.01
  2. 1H: ema9 - 0.0431404
  3. 1H: ema21 - 0.0411551
  4. 1H: ema50 - 0.0397741
  5. 1H: ema100 - 0.0395603
  6. 1H: price_ema9_diff - -0.00140196
  7. 1H: ema9_ema21_diff - 0.0482392
  8. 1H: ema21_ema50_diff - 0.0347218
  9. 1H: price_ema100_diff - 0.0889683
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.596816
  13. 1H: kc_percentage - 0.700123
  14. 1H: kc_width_percentage - 0.209687
  15. ¸
  16. 15m: ema9 - 0.04443
  17. 15m: ema21 - 0.0441067
  18. 15m: ema50 - 0.0423871
  19. 15m: ema100 - 0.0405948
  20. 15m: price_ema9_diff - -0.0303855
  21. 15m: ema9_ema21_diff - 0.00732886
  22. 15m: ema21_ema50_diff - 0.0405702
  23. 15m: price_ema100_diff - 0.0612194
  24. 15m: all_emas_in_trend - True
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.458617
  27. 15m: kc_percentage - 0.244447
  28. 15m: kc_width_percentage - 0.097747
  29. ¸
  30. 5m: ema9 - 0.0443153
  31. 5m: ema21 - 0.0445093
  32. 5m: ema50 - 0.0442948
  33. 5m: ema100 - 0.0432678
  34. 5m: price_ema9_diff - -0.0278761
  35. 5m: ema9_ema21_diff - -0.00435779
  36. 5m: ema21_ema50_diff - 0.00484123
  37. 5m: price_ema100_diff - -0.00434219
  38. 5m: all_emas_in_trend - False
  39. 5m: all_emas_and_price_in_trend - False
  40. 5m: rsi - 0.343284
  41. 5m: kc_percentage - -0.0114735
  42. 5m: kc_width_percentage - 0.0648719
  43. ¸

Long Trade on DOLO

The 26 May 2025 at 21:08:37

With 369.1 DOLO at 0.04308$ per unit.

Take profit at 0.04448 (3.2 %) and Stop Loss at 0.04215 (2.2 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -73.33 %

Symbol Start at Seach Score Trade Score Trades Count
DEEP 2025-04-22 08:12:17 0.9718 -100 1
EPT 2025-05-08 05:32:28 0.9505 -100 3
ONDO 2025-04-24 17:22:26 0.9561 -90 1
BROCCOLI 2025-03-27 20:44:36 0.9524 60 1
MASK 2025-05-11 03:17:09 0.9488 -100 1
SWARMS 2025-04-23 05:52:59 0.9482 -100 1
SOL 2025-04-09 20:43:10 0.9427 -56.67 3
ADA 2025-04-09 20:39:46 0.9411 -100 2

📌 Time Data

Start at Closed at Duration
26 May 2025
21:08:37
26 May 2025
21:50:00
41 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04308 0.04215 0.04448 1.5 0.03429
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 0.04308
  • Stop Loss: 0.04215
  • Take Profit: 0.04448

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04215 - 0.04308 = -0.00093

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04308 - 0.04448 = -0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0014 / -0.00093 = 1.5054

📌 Position Size

Amount Margin Quantity Leverage
369.1 100 8568 3.69
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 -0.00093

Taille de position = 8 / -0.00093 = -8602.15

Taille de position USD = -8602.15 x 0.04308 = -370.58

Donc, tu peux acheter -8602.15 avec un stoploss a 0.04215

Avec un position size USD de -370.58$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8602.15 x -0.00093 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8602.15 x -0.0014 = 12.04

Si Take Profit atteint, tu gagneras 12.04$

Résumé

  • Taille de position -8602.15
  • Taille de position USD -370.58
  • Perte potentielle 8
  • Gain potentiel 12.04
  • Risk-Reward Ratio 1.5054

📌 Peformances

TP % Target TP $ Target
3.2 % 12 $
SL % Target SL $ Target
2.2 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 3.25 -1.8802228412256

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.04494
            [stop_loss] => 0.04215
            [rr_ratio] => 2
            [closed_at] => 2025-05-26 21:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.045405
            [stop_loss] => 0.04215
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-26 21:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.04587
            [stop_loss] => 0.04215
            [rr_ratio] => 3
            [closed_at] => 2025-05-27 02:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.046335
            [stop_loss] => 0.04215
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-27 02:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.0468
            [stop_loss] => 0.04215
            [rr_ratio] => 4
            [closed_at] => 2025-05-27 02:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.047265
            [stop_loss] => 0.04215
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-27 02:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.04773
            [stop_loss] => 0.04215
            [rr_ratio] => 5
            [closed_at] => 2025-05-27 02:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)