Trade

buy - AVAAI

Status
win
2025-05-27 18:16:31
48 minutes
PNL
2.79
Entry: 0.05447
Last: 0.05599000

Results

Status:
win
Trade Type:
buy
Prediction Score: -1.2606
Prediction 1 Accuracy
Weak Trade
0.58
Prediction 2 Accuracy
0 0.44
ML Trade Score: 100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.0006742735476
Details
  1. score: 2.17
  2. 1H: ema9 - 0.0547756
  3. 1H: ema21 - 0.0532337
  4. 1H: ema50 - 0.0530872
  5. 1H: ema100 - 0.0562474
  6. 1H: price_ema9_diff - -0.00558051
  7. 1H: ema9_ema21_diff - 0.028965
  8. 1H: ema21_ema50_diff - 0.00275937
  9. 1H: price_ema100_diff - -0.0315999
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.541287
  13. 1H: kc_percentage - 0.609273
  14. 1H: kc_width_percentage - 0.195893
  15. ¸
  16. 15m: ema9 - 0.0562142
  17. 15m: ema21 - 0.0557566
  18. 15m: ema50 - 0.0540406
  19. 15m: ema100 - 0.0522875
  20. 15m: price_ema9_diff - -0.0310291
  21. 15m: ema9_ema21_diff - 0.00820785
  22. 15m: ema21_ema50_diff - 0.0317527
  23. 15m: price_ema100_diff - 0.0417399
  24. 15m: all_emas_in_trend - True
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.461445
  27. 15m: kc_percentage - 0.262283
  28. 15m: kc_width_percentage - 0.104107
  29. ¸
  30. 5m: ema9 - 0.0557295
  31. 5m: ema21 - 0.0562601
  32. 5m: ema50 - 0.0560469
  33. 5m: ema100 - 0.0551391
  34. 5m: price_ema9_diff - -0.0226006
  35. 5m: ema9_ema21_diff - -0.00943228
  36. 5m: ema21_ema50_diff - 0.00380452
  37. 5m: price_ema100_diff - -0.0121363
  38. 5m: all_emas_in_trend - False
  39. 5m: all_emas_and_price_in_trend - False
  40. 5m: rsi - 0.314083
  41. 5m: kc_percentage - -0.165827
  42. 5m: kc_width_percentage - 0.0489116
  43. ¸

Long Trade on AVAAI

The 27 May 2025 at 18:16:31

With 430.8 AVAAI at 0.05447$ per unit.

Take profit at 0.05599 (2.8 %) and Stop Loss at 0.05346 (1.9 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -7.5 %

Symbol Start at Seach Score Trade Score Trades Count
MKR 2025-03-27 03:34:21 0.9625 -100 3
MERL 2025-05-22 17:34:29 0.9604 30 1
BGB 2025-05-23 04:30:09 0.9562 30 2
MOODENG 2025-05-18 08:07:27 0.9564 30 1
ENA 2025-05-13 19:06:07 0.9561 50 1
VOXEL 2025-04-19 16:42:05 0.955 100 1
PEPE 2025-03-26 09:54:46 0.9548 -100 1
NEIROETH 2025-04-21 07:30:41 0.9528 -100 2

📌 Time Data

Start at Closed at Duration
27 May 2025
18:16:31
27 May 2025
19:05:00
48 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05447 0.05346 0.05599 1.5 0.03454
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 0.05447
  • Stop Loss: 0.05346
  • Take Profit: 0.05599

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05346 - 0.05447 = -0.00101

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05447 - 0.05599 = -0.00152

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00152 / -0.00101 = 1.505

📌 Position Size

Amount Margin Quantity Leverage
430.8 100 7910 4.31
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 -0.00101

Taille de position = 8 / -0.00101 = -7920.79

Taille de position USD = -7920.79 x 0.05447 = -431.45

Donc, tu peux acheter -7920.79 avec un stoploss a 0.05346

Avec un position size USD de -431.45$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7920.79 x -0.00101 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7920.79 x -0.00152 = 12.04

Si Take Profit atteint, tu gagneras 12.04$

Résumé

  • Taille de position -7920.79
  • Taille de position USD -431.45
  • Perte potentielle 8
  • Gain potentiel 12.04
  • Risk-Reward Ratio 1.505

📌 Peformances

TP % Target TP $ Target
2.8 % 12 $
SL % Target SL $ Target
1.9 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 2.79 -0.62419680558105

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.05649
            [stop_loss] => 0.05346
            [rr_ratio] => 2
            [closed_at] => 2025-05-27 19:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.056995
            [stop_loss] => 0.05346
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-27 19:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.0575
            [stop_loss] => 0.05346
            [rr_ratio] => 3
            [closed_at] => 2025-05-27 19:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.058005
            [stop_loss] => 0.05346
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-27 19:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.05851
            [stop_loss] => 0.05346
            [rr_ratio] => 4
            [closed_at] => 2025-05-27 19:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.059015
            [stop_loss] => 0.05346
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-27 21:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.05952
            [stop_loss] => 0.05346
            [rr_ratio] => 5
            [closed_at] => 2025-05-27 21:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)