Trade

sell - LDO

Status
win
2025-05-29 23:14:10
55 minutes
PNL
1.46
Entry: 0.9152
Last: 0.90180000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.2
Prediction 1 Accuracy
Weak Trade
0.68
Prediction 2 Accuracy
0 0.58
ML Trade Score: 30
ML Pullback Score: 0.62

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.005964877616
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.910835
  4. ema21 - 0.922742
  5. ema50 - 0.923941
  6. ema100 - 0.913622
  7. price_ema9_diff - 0.00479203
  8. ema9_ema21_diff - -0.0129039
  9. ema21_ema50_diff - -0.00129842
  10. price_ema100_diff - 0.00172615
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.463424
  14. kc_percentage - 0.423533
  15. kc_width_percentage - 0.100016
  16. ¸
  17. 15m
  18. ema9 - 0.900645
  19. ema21 - 0.90267
  20. ema50 - 0.915235
  21. ema100 - 0.933002
  22. price_ema9_diff - 0.0161599
  23. ema9_ema21_diff - -0.00224366
  24. ema21_ema50_diff - -0.013728
  25. price_ema100_diff - -0.0190807
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.545748
  29. kc_percentage - 0.748164
  30. kc_width_percentage - 0.056873
  31. ¸
  32. 5m
  33. ema9 - 0.906925
  34. ema21 - 0.900713
  35. ema50 - 0.900732
  36. ema100 - 0.906536
  37. price_ema9_diff - 0.00912349
  38. ema9_ema21_diff - 0.00689732
  39. ema21_ema50_diff - -2.15774E-5
  40. price_ema100_diff - 0.00955674
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.654302
  44. kc_percentage - 1.12027
  45. kc_width_percentage - 0.0250215
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 105845
  50. 5m_price_ema100_diff: 0.00112313
  51. 5m_price: 105963
  52. 5m_correlation_with_coin: 0.635647
  53. btc_indicators
  54. 15m_ema100: 106795
  55. 15m_price_ema100_diff: -0.00778346
  56. 15m_price: 105963
  57. btc_indicators
  58. 1H_ema100: 108087
  59. 1H_price_ema100_diff: -0.0196428
  60. 1H_price: 105963
  61. ¸

Short Trade on LDO

The 29 May 2025 at 23:14:10

With 894.1228 LDO at 0.9152$ per unit.

Position size of 818.3012 $

Take profit at 0.9018 (1.46 %) and Stop Loss at 0.9241 (0.97 %)

That's a 1.51 RR Trade

📌 Similar Trades

Similar Trade Score: -4.26 %

Symbol Start at Seach Score Trade Score Trades Count
AAVE 2025-05-29 23:17:28 0.9595 -35 2
INJ 2025-05-29 23:25:03 0.9519 -100 3
AI16Z 2025-06-17 15:33:16 0.9313 30 1
RENDER 2025-06-17 15:47:37 0.9312 30 1
SIGN 2025-05-07 14:32:25 0.9234 -13.33 3
NEO 2025-04-02 16:22:33 0.9229 90 1
TAO 2025-06-17 15:27:59 0.9228 30 1
PYTH 2025-05-20 17:01:06 0.9216 -100 1
DARK 2025-04-29 03:15:46 0.9215 30 1

📌 Time Data

Start at Closed at Duration
29 May 2025
23:14:10
30 May 2025
00:10:00
55 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.9152 0.9241 0.9018 1.51 1.1099
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 0.9152
  • Stop Loss: 0.9241
  • Take Profit: 0.9018

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9241 - 0.9152 = 0.0089

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.9152 - 0.9018 = 0.0134

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0134 / 0.0089 = 1.5056

📌 Position Size

Amount Margin Quantity Leverage
818.3012 100 894.1228 8.18
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 0.0089

Taille de position = 8 / 0.0089 = 898.88

Taille de position USD = 898.88 x 0.9152 = 822.65

Donc, tu peux acheter 898.88 avec un stoploss a 0.9241

Avec un position size USD de 822.65$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 898.88 x 0.0089 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 898.88 x 0.0134 = 12.04

Si Take Profit atteint, tu gagneras 12.04$

Résumé

  • Taille de position 898.88
  • Taille de position USD 822.65
  • Perte potentielle 8
  • Gain potentiel 12.04
  • Risk-Reward Ratio 1.5056

📌 Peformances

TP % Target TP $ Target
1.46 % 11.98 $
SL % Target SL $ Target
0.97 % 7.96 $
PNL PNL %
11.98 $ 1.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.21853146853147 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.8974
            [stop_loss] => 0.9241
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 00:35:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.89295
            [stop_loss] => 0.9241
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 00:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.8885
            [stop_loss] => 0.9241
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 00:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.88405
            [stop_loss] => 0.9241
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 00:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.8796
            [stop_loss] => 0.9241
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 00:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.87515
            [stop_loss] => 0.9241
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 00:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.8707
            [stop_loss] => 0.9241
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 00:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.86625
            [stop_loss] => 0.9241
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 00:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.8618
            [stop_loss] => 0.9241
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 00:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.85735
            [stop_loss] => 0.9241
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 00:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.8529
            [stop_loss] => 0.9241
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 00:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0173
            [max_drawdown] => 0.0274
            [rr_ratio] => 0.63
            [high] => 0.94260000
            [low] => 0.89790000
            [mfe_pct] => 1.89
            [mae_pct] => 2.99
            [mfe_mae_ratio] => 0.63
            [candles_analyzed] => 24
            [start_at] => 2025-05-29T23:14:10-04:00
            [end_at] => 2025-05-30T01:14:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0173
            [max_drawdown] => 0.091
            [rr_ratio] => 0.19
            [high] => 1.00620000
            [low] => 0.89790000
            [mfe_pct] => 1.89
            [mae_pct] => 9.94
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 72
            [start_at] => 2025-05-29T23:14:10-04:00
            [end_at] => 2025-05-30T05:14:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.91620000
            [high_after] => 1.00620000
            [low_before] => 0.84760000
            [low_after] => 0.89790000
            [is_new_high] => 
            [is_new_low] => 
        )

)