Web3Way

Trade

sell - AI16Z

Status
win
2025-05-29 18:21:21
23 minutes
PNL
0.83
Entry: 0.2781
Last: 0.27580000

Results

Status:
win
Trade Type:
sell
Prediction Score: 3.4033
Prediction 1 Accuracy
Strong Trade
0.58
Prediction 2 Accuracy
2 0.55
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.001016496205
Details
  1. score: 1.1
  2. 1H: ema9 - 0.277143
  3. 1H: ema21 - 0.283463
  4. 1H: ema50 - 0.291413
  5. 1H: ema100 - 0.292541
  6. 1H: price_ema9_diff - 0.00345034
  7. 1H: ema9_ema21_diff - -0.0222934
  8. 1H: ema21_ema50_diff - -0.0272822
  9. 1H: price_ema100_diff - -0.0493645
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.410674
  13. 1H: kc_percentage - 0.300477
  14. 1H: kc_width_percentage - 0.0883308
    15. ¸
  15. 15m: ema9 - 0.275492
  16. 15m: ema21 - 0.275011
  17. 15m: ema50 - 0.278983
  18. 15m: ema100 - 0.284041
  19. 15m: price_ema9_diff - 0.00946479
  20. 15m: ema9_ema21_diff - 0.00174974
  21. 15m: ema21_ema50_diff - -0.0142389
  22. 15m: price_ema100_diff - -0.0209163
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.587532
  26. 15m: kc_percentage - 0.883549
  27. 15m: kc_width_percentage - 0.0296162
    28. ¸
  28. 5m: ema9 - 0.277321
  29. 5m: ema21 - 0.275692
  30. 5m: ema50 - 0.274408
  31. 5m: ema100 - 0.274827
  32. 5m: price_ema9_diff - 0.00280852
  33. 5m: ema9_ema21_diff - 0.00590687
  34. 5m: ema21_ema50_diff - 0.00467825
  35. 5m: price_ema100_diff - 0.0119065
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.687137
  39. 5m: kc_percentage - 1.10118
  40. 5m: kc_width_percentage - 0.0137649
    41. ¸

Short Trade on AI16Z

The 29 May 2025 at 18:21:21

With 1459 AI16Z at 0.2781$ per unit.

Take profit at 0.2758 (0.83 %) and Stop Loss at 0.2796 (0.54 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 43.33 %

Symbol Start at Seach Score Trade Score Trades Count
ARC 2025-05-29 18:18:02 0.9887 30 2
GOAT 2025-05-29 18:22:34 0.9832 30 2
PNUT 2025-05-29 18:24:51 0.9798 40 1
PUMP 2025-04-08 19:02:52 0.9761 40 1
MEMEFI 2025-04-17 16:32:01 0.9749 100 1
DOT 2025-03-28 09:35:06 0.9717 60 1
VIRTUAL 2025-05-29 18:24:37 0.9716 30 1
BRETT 2025-05-29 18:13:10 0.9713 30 1
MOODENG 2025-05-29 18:24:20 0.9712 30 1

📌 Time Data

Start at Closed at Duration
29 May 2025
18:21:21		 29 May 2025
18:45:00		 23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2781 0.2796 0.2758 1.5 0.2255
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 0.2781
  • Stop Loss: 0.2796
  • Take Profit: 0.2758

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2796 - 0.2781 = 0.0015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2781 - 0.2758 = 0.0023

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0023 / 0.0015 = 1.5333

📌 Position Size

Amount Margin Quantity Leverage
1459 100 5247 14.59
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 0.0015

Taille de position = 8 / 0.0015 = 5333.33

Taille de position USD = 5333.33 x 0.2781 = 1483.2

Donc, tu peux acheter 5333.33 avec un stoploss a 0.2796

Avec un position size USD de 1483.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5333.33 x 0.0015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5333.33 x 0.0023 = 12.27

Si Take Profit atteint, tu gagneras 12.27$

Résumé

  • Taille de position 5333.33
  • Taille de position USD 1483.2
  • Perte potentielle 8
  • Gain potentiel 12.27
  • Risk-Reward Ratio 1.5333

📌 Peformances

TP % Target TP $ Target
0.83 % 12 $
SL % Target SL $ Target
0.54 % 7.9 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.83 -0.43149946062567

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2751
            [stop_loss] => 0.2796
            [rr_ratio] => 2
            [closed_at] => 2025-05-29 19:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.27435
            [stop_loss] => 0.2796
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-29 19:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2736
            [stop_loss] => 0.2796
            [rr_ratio] => 3
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.27285
            [stop_loss] => 0.2796
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2721
            [stop_loss] => 0.2796
            [rr_ratio] => 4
            [closed_at] => 2025-05-29 20:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.27135
            [stop_loss] => 0.2796
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2706
            [stop_loss] => 0.2796
            [rr_ratio] => 5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)