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Trade

sell - AI16Z

Status
win
2025-05-31 01:08:13
51 minutes
PNL
2.23
Entry: 0.2059
Last: 0.20130000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.002030321395
Details
  1. score: 1.07
  2. 1H: ema9 - 0.210037
  3. 1H: ema21 - 0.225202
  4. 1H: ema50 - 0.248331
  5. 1H: ema100 - 0.266267
  6. 1H: price_ema9_diff - -0.0196985
  7. 1H: ema9_ema21_diff - -0.067338
  8. 1H: ema21_ema50_diff - -0.0931394
  9. 1H: price_ema100_diff - -0.226717
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - True
  12. 1H: rsi - 0.286434
  13. 1H: kc_percentage - -0.0151685
  14. 1H: kc_width_percentage - 0.171662
    15. ¸
  15. 15m: ema9 - 0.20149
  16. 15m: ema21 - 0.204248
  17. 15m: ema50 - 0.21492
  18. 15m: ema100 - 0.226729
  19. 15m: price_ema9_diff - 0.0218823
  20. 15m: ema9_ema21_diff - -0.0135
  21. 15m: ema21_ema50_diff - -0.049657
  22. 15m: price_ema100_diff - -0.0918697
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.488106
  26. 15m: kc_percentage - 0.631871
  27. 15m: kc_width_percentage - 0.0742588
    28. ¸
  28. 5m: ema9 - 0.203298
  29. 5m: ema21 - 0.201371
  30. 5m: ema50 - 0.202501
  31. 5m: ema100 - 0.208295
  32. 5m: price_ema9_diff - 0.0127943
  33. 5m: ema9_ema21_diff - 0.00956983
  34. 5m: ema21_ema50_diff - -0.00557802
  35. 5m: price_ema100_diff - -0.0115006
  36. 5m: all_emas_in_trend - False
  37. 5m: all_emas_and_price_in_trend - False
  38. 5m: rsi - 0.677426
  39. 5m: kc_percentage - 1.06575
  40. 5m: kc_width_percentage - 0.0382131
    41. ¸

Short Trade on AI16Z

The 31 May 2025 at 01:08:13

With 540.9 AI16Z at 0.2059$ per unit.

Take profit at 0.2013 (2.2 %) and Stop Loss at 0.2089 (1.5 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -34 %

Symbol Start at Seach Score Trade Score Trades Count
MEW 2025-05-31 01:08:41 0.9923 -100 2
GOAT 2025-05-31 01:06:44 0.9945 30 1
MOCA 2025-05-31 01:05:30 0.9901 -100 1
BOME 2025-05-31 01:06:56 0.9893 -100 2
1000BONK 2025-05-31 01:01:44 0.988 30 1
NOT 2025-05-31 01:08:00 0.9878 -100 2
FLOKI 2025-05-31 01:00:45 0.9876 40 1
SEI 2025-05-31 01:02:12 0.9873 30 1
IO 2025-05-31 01:04:32 0.9867 -100 1
TURBO 2025-05-31 01:10:21 0.9866 30 1

📌 Time Data

Start at Closed at Duration
31 May 2025
01:08:13		 31 May 2025
02:00:00		 51 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2059 0.2089 0.2013 1.5 0.2003
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 0.2059
  • Stop Loss: 0.2089
  • Take Profit: 0.2013

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2089 - 0.2059 = 0.003

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2059 - 0.2013 = 0.0046

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0046 / 0.003 = 1.5333

📌 Position Size

Amount Margin Quantity Leverage
540.9 100 2627 5.41
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 0.003

Taille de position = 8 / 0.003 = 2666.67

Taille de position USD = 2666.67 x 0.2059 = 549.07

Donc, tu peux acheter 2666.67 avec un stoploss a 0.2089

Avec un position size USD de 549.07$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2666.67 x 0.003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2666.67 x 0.0046 = 12.27

Si Take Profit atteint, tu gagneras 12.27$

Résumé

  • Taille de position 2666.67
  • Taille de position USD 549.07
  • Perte potentielle 8
  • Gain potentiel 12.27
  • Risk-Reward Ratio 1.5333

📌 Peformances

TP % Target TP $ Target
2.2 % 12 $
SL % Target SL $ Target
1.5 % 7.9 $
RR PNL PNL % Max Drawdown
1.5 12 $ 2.23 -0.33997085964061

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1999
            [stop_loss] => 0.2089
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.1984
            [stop_loss] => 0.2089
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1969
            [stop_loss] => 0.2089
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.1954
            [stop_loss] => 0.2089
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1939
            [stop_loss] => 0.2089
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1924
            [stop_loss] => 0.2089
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1909
            [stop_loss] => 0.2089
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 03:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)