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Trade

sell - LDO

Status
loss
2025-05-29 22:41:18
33 minutes
PNL
-1.01
Entry: 0.908
Last: 0.91720000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 0.9111
Prediction 1 Accuracy
Weak Trade
0.54
Prediction 2 Accuracy
1 0.46
ML Trade Score: -100
ML Pullback Score: 0.35

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.006108670674
Details
  1. score: 1.1
  2. 1H
  3. ema9 - 0.91006
  4. ema21 - 0.921651
  5. ema50 - 0.923177
  6. ema100 - 0.913582
  7. price_ema9_diff - -0.00226359
  8. ema9_ema21_diff - -0.0125766
  9. ema21_ema50_diff - -0.00165326
  10. price_ema100_diff - -0.0061106
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.425749
  14. kc_percentage - 0.355717
  15. kc_width_percentage - 0.100093
    16. ¸
  16. 15m
  17. ema9 - 0.894828
  18. ema21 - 0.90096
  19. ema50 - 0.91532
  20. ema100 - 0.931858
  21. price_ema9_diff - 0.0147192
  22. ema9_ema21_diff - -0.00680559
  23. ema21_ema50_diff - -0.015689
  24. price_ema100_diff - -0.0256032
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.517623
  28. kc_percentage - 0.645445
  29. kc_width_percentage - 0.0576146
    30. ¸
  30. 5m
  31. ema9 - 0.89841
  32. ema21 - 0.894025
  33. ema50 - 0.898449
  34. ema100 - 0.906263
  35. price_ema9_diff - 0.0106739
  36. ema9_ema21_diff - 0.00490503
  37. ema21_ema50_diff - -0.00492445
  38. price_ema100_diff - 0.00191589
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.636267
  42. kc_percentage - 1.10485
  43. kc_width_percentage - 0.0253479
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 105907
  47. 5m_price_ema100_diff: 0.00180628
  48. 5m_price: 106099
  49. 5m_correlation_with_coin: 0.616091
  50. btc_indicators
  51. 15m_ema100: 106808
  52. 15m_price_ema100_diff: -0.00664264
  53. 15m_price: 106099
  54. btc_indicators
  55. 1H_ema100: 108057
  56. 1H_price_ema100_diff: -0.0181208
  57. 1H_price: 106099
    58. ¸

Short Trade on LDO

The 29 May 2025 at 22:41:18

With 873.0759 LDO at 0.908$ per unit.

Position size of 792.7529 $

Take profit at 0.8943 (1.51 %) and Stop Loss at 0.9172 (1.01 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -37.67 %

Symbol Start at Seach Score Trade Score Trades Count
SUI 2025-05-29 22:41:38 0.9526 30 1
INJ 2025-05-29 23:14:24 0.9355 -100 1
BIGTIME 2025-04-07 04:41:46 0.9295 30 1
SIGN 2025-05-07 14:26:26 0.9267 -56.67 3
VIRTUAL 2025-05-29 22:43:18 0.9279 -100 1
PARTI 2025-07-04 15:10:07 0.925 -100 1
RENDER 2025-06-17 15:16:29 0.9249 -100 1
ATOM 2025-04-07 04:41:03 0.9238 -70 1
TAO 2025-05-07 14:01:20 0.9234 50 1
MANA 2025-07-15 00:41:52 0.9229 40 1

📌 Time Data

Start at Closed at Duration
29 May 2025
22:41:18		 29 May 2025
23:15:00		 33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.908 0.9172 0.8943 1.49 1.0898
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 0.908
  • Stop Loss: 0.9172
  • Take Profit: 0.8943

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9172 - 0.908 = 0.0092

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.908 - 0.8943 = 0.0137

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0137 / 0.0092 = 1.4891

📌 Position Size

Amount Margin Quantity Leverage
792.7529 100 873.0759 7.93
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 0.0092

Taille de position = 8 / 0.0092 = 869.57

Taille de position USD = 869.57 x 0.908 = 789.57

Donc, tu peux acheter 869.57 avec un stoploss a 0.9172

Avec un position size USD de 789.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 869.57 x 0.0092 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 869.57 x 0.0137 = 11.91

Si Take Profit atteint, tu gagneras 11.91$

Résumé

  • Taille de position 869.57
  • Taille de position USD 789.57
  • Perte potentielle 8
  • Gain potentiel 11.91
  • Risk-Reward Ratio 1.4891

📌 Peformances

TP % Target TP $ Target
1.51 % 11.96 $
SL % Target SL $ Target
1.01 % 8.03 $
PNL PNL %
-8.03 $ -1.01
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0132158590308 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.8943
            [entry_price] => 0.908
            [stop_loss] => 0.91812
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-30 00:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.8943
            [entry_price] => 0.908
            [stop_loss] => 0.91904
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-30 00:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.8943
            [entry_price] => 0.908
            [stop_loss] => 0.91996
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-30 00:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.8943
            [entry_price] => 0.908
            [stop_loss] => 0.9218
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-30 00:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0101
            [max_drawdown] => 0.0282
            [rr_ratio] => 0.36
            [high] => 0.93620000
            [low] => 0.89790000
            [mfe_pct] => 1.11
            [mae_pct] => 3.11
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 24
            [start_at] => 2025-05-29T22:41:18-04:00
            [end_at] => 2025-05-30T00:41:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0101
            [max_drawdown] => 0.0936
            [rr_ratio] => 0.11
            [high] => 1.00160000
            [low] => 0.89790000
            [mfe_pct] => 1.11
            [mae_pct] => 10.31
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 72
            [start_at] => 2025-05-29T22:41:18-04:00
            [end_at] => 2025-05-30T04:41:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.91820000
            [high_after] => 1.00160000
            [low_before] => 0.84760000
            [low_after] => 0.89790000
            [is_new_high] => 
            [is_new_low] => 
        )

)