Trade

sell - ALCH

Status
win
2025-04-06 16:42:02
1 hour
PNL
2.31
Entry: 0.05974
Last: 0.05836000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 110

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0006125805775
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 0.0615918
  4. ema21 - 0.0647887
  5. ema50 - 0.0693825
  6. price_ema9_diff - -0.0285836
  7. ema9_ema21_diff - -0.0493424
  8. ema21_ema50_diff - -0.0662104
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - True
  11. rsi - 0.330516
  12. kc_percentage - -0.00935917
  13. kc_width_percentage - 0.159637
  14. ¸
  15. 15m
  16. ema9 - 0.0584861
  17. ema21 - 0.0598752
  18. ema50 - 0.0630844
  19. price_ema9_diff - 0.0209412
  20. ema9_ema21_diff - -0.0232006
  21. ema21_ema50_diff - -0.0508706
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.443216
  25. kc_percentage - 0.500944
  26. kc_width_percentage - 0.0804026
  27. ¸
  28. 5m
  29. ema9 - 0.0588918
  30. ema21 - 0.0584102
  31. ema50 - 0.0592775
  32. price_ema9_diff - 0.0145201
  33. ema9_ema21_diff - 0.00824641
  34. ema21_ema50_diff - -0.0146319
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. rsi - 0.655141
  38. kc_percentage - 1.03548
  39. kc_width_percentage - 0.041338
  40. ¸

Short Trade on ALCH

The 06 Apr 2025 at 16:42:02

With 8706 ALCH at 0.05974$ per unit.

Position size of 520.1 $

Take profit at 0.05836 (2.3 %) and Stop Loss at 0.06066 (1.5 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -71.52 %

Symbol Start at Seach Score Trade Score Trades Count
1MBABYDOGE 2025-06-17 15:16:55 0.9766 -100 1
MOODENG 2025-06-02 09:02:02 0.9705 30 1
MOODENG 2025-06-17 15:17:10 0.9593 -100 1
PEPE 2025-06-17 15:10:15 0.9657 -100 2
IP 2025-03-28 04:24:28 0.9659 -100 1
ETH 2025-06-17 15:19:03 0.9621 -56.67 3
TRB 2025-07-01 16:58:16 0.9626 -100 1
ZEREBRO 2025-05-20 17:02:22 0.9618 -100 1
BNB 2025-06-17 15:21:17 0.9614 -100 1
BGB 2025-06-22 13:41:18 0.9609 40 1
TIA 2025-06-12 23:55:15 0.9604 -100 1

📌 Time Data

Start at Closed at Duration
06 Apr 2025
16:42:02
06 Apr 2025
17:45:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05974 0.06066 0.05836 1.5 0.142
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 0.05974
  • Stop Loss: 0.06066
  • Take Profit: 0.05836

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06066 - 0.05974 = 0.00092

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05974 - 0.05836 = 0.00138

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00138 / 0.00092 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
520.1 100 8706 5.20
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 0.00092

Taille de position = 8 / 0.00092 = 8695.65

Taille de position USD = 8695.65 x 0.05974 = 519.48

Donc, tu peux acheter 8695.65 avec un stoploss a 0.06066

Avec un position size USD de 519.48$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8695.65 x 0.00092 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8695.65 x 0.00138 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 8695.65
  • Taille de position USD 519.48
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2.3 % 12 $
SL % Target SL $ Target
1.5 % 8 $
PNL PNL %
12 $ 2.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1841312353532 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0579
            [stop_loss] => 0.06066
            [rr_ratio] => 2
            [closed_at] => 2025-04-06 20:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.05744
            [stop_loss] => 0.06066
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-06 20:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.05698
            [stop_loss] => 0.06066
            [rr_ratio] => 3
            [closed_at] => 2025-04-06 20:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.05652
            [stop_loss] => 0.06066
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-06 20:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.05606
            [stop_loss] => 0.06066
            [rr_ratio] => 4
            [closed_at] => 2025-04-06 20:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.0556
            [stop_loss] => 0.06066
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-06 20:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.05514
            [stop_loss] => 0.06066
            [rr_ratio] => 5
            [closed_at] => 2025-04-06 20:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.05468
            [stop_loss] => 0.06066
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-06 20:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)