Trade

sell - SAND

Status
win
2025-05-25 15:57:02
7 minutes
PNL
0.53
Entry: 0.3014
Last: 0.29980000

Results

Status:
win
Trade Type:
sell
Prediction Score: -3.5516
Prediction 1 Accuracy
Weak Trade
0.72
Prediction 2 Accuracy
0 0.69
ML Trade Score: 70

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.0007008431914
Details
  1. score: 1.22
  2. 1H: ema9 - 0.299838
  3. 1H: ema21 - 0.301756
  4. 1H: ema50 - 0.307508
  5. 1H: ema100 - 0.313437
  6. 1H: price_ema9_diff - 0.00514081
  7. 1H: ema9_ema21_diff - -0.00635506
  8. 1H: ema21_ema50_diff - -0.0187073
  9. 1H: price_ema100_diff - -0.0384679
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.461589
  13. 1H: kc_percentage - 0.486292
  14. 1H: kc_width_percentage - 0.0449712
  15. ¸
  16. 15m: ema9 - 0.299457
  17. 15m: ema21 - 0.299158
  18. 15m: ema50 - 0.299935
  19. 15m: ema100 - 0.301564
  20. 15m: price_ema9_diff - 0.0064195
  21. 15m: ema9_ema21_diff - 0.000998338
  22. 15m: ema21_ema50_diff - -0.00258759
  23. 15m: price_ema100_diff - -0.000613357
  24. 15m: all_emas_in_trend - False
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.584854
  27. 15m: kc_percentage - 0.87064
  28. 15m: kc_width_percentage - 0.0199232
  29. ¸
  30. 5m: ema9 - 0.299894
  31. 5m: ema21 - 0.299376
  32. 5m: ema50 - 0.298999
  33. 5m: ema100 - 0.298951
  34. 5m: price_ema9_diff - 0.00495231
  35. 5m: ema9_ema21_diff - 0.00173169
  36. 5m: ema21_ema50_diff - 0.00126018
  37. 5m: price_ema100_diff - 0.00812461
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.693993
  41. 5m: kc_percentage - 1.22359
  42. 5m: kc_width_percentage - 0.00905342
  43. ¸

Short Trade on SAND

The 25 May 2025 at 15:57:02

With 2293 SAND at 0.3014$ per unit.

Take profit at 0.2998 (0.53 %) and Stop Loss at 0.3024 (0.33 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: 29.09 %

Symbol Start at Seach Score Trade Score Trades Count
ONDO 2025-05-25 15:57:18 0.9708 -10 3
DOGE 2025-05-25 15:56:40 0.9779 60 1
APE 2025-05-25 15:57:22 0.9665 60 1
ARB 2025-05-25 15:57:56 0.9637 50 1
AI16Z 2025-05-25 15:59:53 0.9598 -100 1
IO 2025-05-25 16:00:52 0.9559 30 2
LINK 2025-05-25 15:56:25 0.953 50 1
NEAR 2025-05-25 15:57:09 0.9525 50 1
FET 2025-05-25 15:57:41 0.9525 50 1
DOT 2025-05-25 15:56:34 0.951 50 1
KAS 2025-05-25 15:50:43 0.9488 30 1

📌 Time Data

Start at Closed at Duration
25 May 2025
15:57:02
25 May 2025
16:05:00
7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3014 0.3024 0.2998 1.6 0.2674
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 0.3014
  • Stop Loss: 0.3024
  • Take Profit: 0.2998

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3024 - 0.3014 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3014 - 0.2998 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.001 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
2293 100 7610 22.93
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.3014 = 2411.2

Donc, tu peux acheter 8000 avec un stoploss a 0.3024

Avec un position size USD de 2411.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0016 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position 8000
  • Taille de position USD 2411.2
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.53 % 12 $
SL % Target SL $ Target
0.33 % 7.6 $
RR PNL PNL % Max Drawdown
1.6 12 $ 0.53 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2994
            [stop_loss] => 0.3024
            [rr_ratio] => 2
            [closed_at] => 2025-05-25 16:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2989
            [stop_loss] => 0.3024
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-25 16:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2984
            [stop_loss] => 0.3024
            [rr_ratio] => 3
            [closed_at] => 2025-05-25 17:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2979
            [stop_loss] => 0.3024
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-25 17:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2974
            [stop_loss] => 0.3024
            [rr_ratio] => 4
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.2969
            [stop_loss] => 0.3024
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2964
            [stop_loss] => 0.3024
            [rr_ratio] => 5
            [closed_at] => 2025-05-25 18:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)