Trade

buy - AI16Z

Status
win
2025-06-01 22:20:03
19 minutes
PNL
1.78
Entry: 0.2477
Last: 0.25210000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.0759
Prediction 1 Accuracy
Weak Trade
0.53
Prediction 2 Accuracy
0 0.58
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.00194429512
Details
  1. score: 2.08
  2. 1H: ema9 - 0.246915
  3. 1H: ema21 - 0.237963
  4. 1H: ema50 - 0.233505
  5. 1H: ema100 - 0.243109
  6. 1H: price_ema9_diff - 0.00317872
  7. 1H: ema9_ema21_diff - 0.0376191
  8. 1H: ema21_ema50_diff - 0.0190886
  9. 1H: price_ema100_diff - 0.0188803
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - True
  12. 1H: rsi - 0.627547
  13. 1H: kc_percentage - 0.825484
  14. 1H: kc_width_percentage - 0.114038
  15. ¸
  16. 15m: ema9 - 0.251895
  17. 15m: ema21 - 0.25058
  18. 15m: ema50 - 0.243477
  19. 15m: ema100 - 0.235291
  20. 15m: price_ema9_diff - -0.016657
  21. 15m: ema9_ema21_diff - 0.00525007
  22. 15m: ema21_ema50_diff - 0.0291733
  23. 15m: price_ema100_diff - 0.0527384
  24. 15m: all_emas_in_trend - True
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.471164
  27. 15m: kc_percentage - 0.263488
  28. 15m: kc_width_percentage - 0.0527834
  29. ¸
  30. 5m: ema9 - 0.251339
  31. 5m: ema21 - 0.252407
  32. 5m: ema50 - 0.251619
  33. 5m: ema100 - 0.248162
  34. 5m: price_ema9_diff - -0.014481
  35. 5m: ema9_ema21_diff - -0.00423026
  36. 5m: ema21_ema50_diff - 0.0031304
  37. 5m: price_ema100_diff - -0.00186182
  38. 5m: all_emas_in_trend - False
  39. 5m: all_emas_and_price_in_trend - False
  40. 5m: rsi - 0.337936
  41. 5m: kc_percentage - -0.0831136
  42. 5m: kc_width_percentage - 0.0323702
  43. ¸

Long Trade on AI16Z

The 01 Jun 2025 at 22:20:03

With 679.5 AI16Z at 0.2477$ per unit.

Take profit at 0.2521 (1.8 %) and Stop Loss at 0.2448 (1.2 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -22.59 %

Symbol Start at Seach Score Trade Score Trades Count
KAS 2025-04-22 11:42:16 0.9668 -60 1
BNB 2025-05-27 14:25:32 0.9668 -100 1
FLOKI 2025-05-13 18:10:09 0.9611 -100 2
UNI 2025-04-12 15:30:27 0.9617 50 1
ANIME 2025-05-17 18:20:32 0.9612 -13.33 3
PAXG 2025-04-11 01:41:27 0.9601 -90 1
LUMIA 2025-05-07 00:04:50 0.9574 30 2
JUP 2025-05-26 06:55:26 0.9572 40 1
BTC 2025-06-01 22:24:30 0.9567 40 1

📌 Time Data

Start at Closed at Duration
01 Jun 2025
22:20:03
01 Jun 2025
22:40:00
19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2477 0.2448 0.2521 1.5 0.2173
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 0.2477
  • Stop Loss: 0.2448
  • Take Profit: 0.2521

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2448 - 0.2477 = -0.0029

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2477 - 0.2521 = -0.0044

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0044 / -0.0029 = 1.5172

📌 Position Size

Amount Margin Quantity Leverage
679.5 100 2743 6.79
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 -0.0029

Taille de position = 8 / -0.0029 = -2758.62

Taille de position USD = -2758.62 x 0.2477 = -683.31

Donc, tu peux acheter -2758.62 avec un stoploss a 0.2448

Avec un position size USD de -683.31$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2758.62 x -0.0029 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2758.62 x -0.0044 = 12.14

Si Take Profit atteint, tu gagneras 12.14$

Résumé

  • Taille de position -2758.62
  • Taille de position USD -683.31
  • Perte potentielle 8
  • Gain potentiel 12.14
  • Risk-Reward Ratio 1.5172

📌 Peformances

TP % Target TP $ Target
1.8 % 12 $
SL % Target SL $ Target
1.2 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.78 -0.28259991925717

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2535
            [stop_loss] => 0.2448
            [rr_ratio] => 2
            [closed_at] => 2025-06-01 23:00:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.25495
            [stop_loss] => 0.2448
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-01 23:00:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.2564
            [stop_loss] => 0.2448
            [rr_ratio] => 3
            [closed_at] => 2025-06-01 23:00:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.25785
            [stop_loss] => 0.2448
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-01 23:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.2593
            [stop_loss] => 0.2448
            [rr_ratio] => 4
            [closed_at] => 2025-06-01 23:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.26075
            [stop_loss] => 0.2448
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-01 23:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2622
            [stop_loss] => 0.2448
            [rr_ratio] => 5
            [closed_at] => 2025-06-01 23:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)