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Trade

sell - LDO

Status
loss
2025-06-17 23:43:20
31 minutes
PNL
-0.51
Entry: 0.7851
Last: 0.78910000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -0.0152
Prediction 1 Accuracy
Weak Trade
0.66
Prediction 2 Accuracy
0 0.59
ML Trade Score: -100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.002635758774
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 0.779092
  4. ema21 - 0.788983
  5. ema50 - 0.804675
  6. ema100 - 0.812081
  7. price_ema9_diff - 0.00771081
  8. ema9_ema21_diff - -0.012536
  9. ema21_ema50_diff - -0.0195018
  10. price_ema100_diff - -0.0332252
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.453037
  14. kc_percentage - 0.439213
  15. kc_width_percentage - 0.0629915
  16. volume_ema_diff - -0.466549
    17. ¸
  17. 15m
  18. ema9 - 0.778643
  19. ema21 - 0.777475
  20. ema50 - 0.781791
  21. ema100 - 0.793488
  22. price_ema9_diff - 0.00829173
  23. ema9_ema21_diff - 0.00150315
  24. ema21_ema50_diff - -0.00552084
  25. price_ema100_diff - -0.010572
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.598003
  29. kc_percentage - 0.890971
  30. kc_width_percentage - 0.0248931
  31. volume_ema_diff - -0.57585
    32. ¸
  32. 5m
  33. ema9 - 0.781744
  34. ema21 - 0.779124
  35. ema50 - 0.777797
  36. ema100 - 0.779971
  37. price_ema9_diff - 0.00429243
  38. ema9_ema21_diff - 0.00336241
  39. ema21_ema50_diff - 0.0017068
  40. price_ema100_diff - 0.00657584
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.644479
  44. kc_percentage - 1.05119
  45. kc_width_percentage - 0.0134921
  46. volume_ema_diff - -0.421046
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104787
  50. 5m_price_ema100_diff: 0.00314108
  51. 5m_price: 105116
  52. 5m_correlation_with_coin: 0.820507
  53. btc_indicators
  54. 15m_ema100: 105300
  55. 15m_price_ema100_diff: -0.00199893
  56. 15m_price: 105090
  57. btc_indicators
  58. 1H_ema100: 105769
  59. 1H_price_ema100_diff: -0.00616848
  60. 1H_price: 105116
    61. ¸

Short Trade on LDO

The 17 Jun 2025 at 23:43:20

With 2023 LDO at 0.7851$ per unit.

Position size of 1589 $

Take profit at 0.7792 (0.75 %) and Stop Loss at 0.7891 (0.51 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -100 %

Symbol Start at Seach Score Trade Score Trades Count
SUI 2025-06-17 23:48:04 0.9142 -100 2
RENDER 2025-06-18 00:00:02 0.9074 -100 2
ARB 2025-06-17 23:37:51 0.9311 -100 1
ALGO 2025-06-17 23:36:45 0.91 -100 1
FLOKI 2025-06-17 23:38:09 0.9097 -100 1
FET 2025-06-17 23:37:34 0.8992 -100 1
WLD 2025-06-17 23:38:43 0.8934 -100 1
ONDO 2025-06-17 23:44:40 0.884 -100 1
MKR 2025-06-17 23:40:05 0.8762 -100 2

📌 Time Data

Start at Closed at Duration
17 Jun 2025
23:43:20		 18 Jun 2025
00:15:00		 31 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7851 0.7891 0.7792 1.5 0.7403
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 0.7851
  • Stop Loss: 0.7891
  • Take Profit: 0.7792

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7891 - 0.7851 = 0.004

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7851 - 0.7792 = 0.0059

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0059 / 0.004 = 1.475

📌 Position Size

Amount Margin Quantity Leverage
1589 100 2023 15.89
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 0.004

Taille de position = 8 / 0.004 = 2000

Taille de position USD = 2000 x 0.7851 = 1570.2

Donc, tu peux acheter 2000 avec un stoploss a 0.7891

Avec un position size USD de 1570.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2000 x 0.004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2000 x 0.0059 = 11.8

Si Take Profit atteint, tu gagneras 11.8$

Résumé

  • Taille de position 2000
  • Taille de position USD 1570.2
  • Perte potentielle 8
  • Gain potentiel 11.8
  • Risk-Reward Ratio 1.475

📌 Peformances

TP % Target TP $ Target
0.75 % 12 $
SL % Target SL $ Target
0.51 % 8.1 $
PNL PNL %
-8.1 $ -0.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5986 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.7792
            [entry_price] => 0.7851
            [stop_loss] => 0.7895
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-06-18 00:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.7792
            [entry_price] => 0.7851
            [stop_loss] => 0.7899
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-06-18 00:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.7792
            [entry_price] => 0.7851
            [stop_loss] => 0.7903
            [rr_ratio] => 1.13
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-06-18 00:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.7792
            [entry_price] => 0.7851
            [stop_loss] => 0.7911
            [rr_ratio] => 0.98
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-06-18 00:40:00
            [result] => loss
        )

)