Trade

buy - UMA

Status
win
2025-06-06 15:01:30
6 hours
PNL
4.19
Entry: 1.192
Last: 1.24200000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.0818
Prediction 1 Accuracy
Weak Trade
0.67
Prediction 2 Accuracy
0 0.53
ML Trade Score: 30
ML Pullback Score: 1.6

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.02220049912
Details
  1. score: 2.12
  2. 1H
  3. ema9 - 1.21644
  4. ema21 - 1.16741
  5. ema50 - 1.14485
  6. ema100 - 1.14137
  7. price_ema9_diff - -0.0200965
  8. ema9_ema21_diff - 0.0419987
  9. ema21_ema50_diff - 0.019707
  10. price_ema100_diff - 0.0443546
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.543599
  14. kc_percentage - 0.591026
  15. kc_width_percentage - 0.205136
  16. volume_ema_diff - 2.20922
  17. ¸
  18. 15m
  19. ema9 - 1.24665
  20. ema21 - 1.23822
  21. ema50 - 1.1874
  22. ema100 - 1.15017
  23. price_ema9_diff - -0.0438403
  24. ema9_ema21_diff - 0.00680323
  25. ema21_ema50_diff - 0.0428023
  26. price_ema100_diff - 0.0363676
  27. all_emas_in_trend - True
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.44285
  30. kc_percentage - 0.230372
  31. kc_width_percentage - 0.149881
  32. volume_ema_diff - 0.209658
  33. ¸
  34. 5m
  35. ema9 - 1.21946
  36. ema21 - 1.24505
  37. ema50 - 1.24785
  38. ema100 - 1.21481
  39. price_ema9_diff - -0.0225218
  40. ema9_ema21_diff - -0.0205553
  41. ema21_ema50_diff - -0.00224053
  42. price_ema100_diff - -0.0187792
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.287891
  46. kc_percentage - -0.121073
  47. kc_width_percentage - 0.0699103
  48. volume_ema_diff - -0.0398162
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 104403
  53. 5m_price_ema100_diff: 0.000738425
  54. 5m_price: 104480
  55. 5m_correlation_with_coin: 0.097024
  56. btc_indicators
  57. 15m_ema100: 103575
  58. 15m_price_ema100_diff: 0.00873758
  59. 15m_price: 104480
  60. btc_indicators
  61. 1H_ema100: 104185
  62. 1H_price_ema100_diff: 0.002834
  63. 1H_price: 104480
  64. ¸

Long Trade on UMA

The 06 Jun 2025 at 15:01:30

With 240.2348 UMA at 1.192$ per unit.

Position size of 286.3599 $

Take profit at 1.242 (4.19 %) and Stop Loss at 1.1587 (2.79 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -42.14 %

Symbol Start at Seach Score Trade Score Trades Count
BIO 2025-04-17 07:47:11 0.9745 -35 2
SAFE 2025-07-14 00:12:42 0.9718 -100 2
WAXP 2025-04-19 00:16:10 0.9688 40 2
PEPE 2025-06-29 22:35:03 0.967 -100 2
MAGIC 2025-04-24 17:46:05 0.9637 -100 2
DOT 2025-06-29 22:27:35 0.9632 -100 1
GODS 2025-04-13 17:12:28 0.9626 100 1

📌 Time Data

Start at Closed at Duration
06 Jun 2025
15:01:30
06 Jun 2025
21:10:00
6 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.192 1.1587 1.242 1.5 1.4555
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 1.192
  • Stop Loss: 1.1587
  • Take Profit: 1.242

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.1587 - 1.192 = -0.0333

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.192 - 1.242 = -0.05

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.05 / -0.0333 = 1.5015

📌 Position Size

Amount Margin Quantity Leverage
286.3599 100 240.2348 2.86
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 -0.0333

Taille de position = 8 / -0.0333 = -240.24

Taille de position USD = -240.24 x 1.192 = -286.37

Donc, tu peux acheter -240.24 avec un stoploss a 1.1587

Avec un position size USD de -286.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -240.24 x -0.0333 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -240.24 x -0.05 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position -240.24
  • Taille de position USD -286.37
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5015

📌 Peformances

TP % Target TP $ Target
4.19 % 12.01 $
SL % Target SL $ Target
2.79 % 8 $
PNL PNL %
12.01 $ 4.19
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.3489932885906 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.026
            [max_drawdown] => 0.028
            [rr_ratio] => 0.93
            [high] => 1.21800000
            [low] => 1.16400000
            [mfe_pct] => 2.18
            [mae_pct] => 2.35
            [mfe_mae_ratio] => 0.93
            [candles_analyzed] => 24
            [start_at] => 2025-06-06T15:01:30-04:00
            [end_at] => 2025-06-06T17:01:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.04
            [max_drawdown] => 0.028
            [rr_ratio] => 1.43
            [high] => 1.23200000
            [low] => 1.16400000
            [mfe_pct] => 3.36
            [mae_pct] => 2.35
            [mfe_mae_ratio] => 1.43
            [candles_analyzed] => 72
            [start_at] => 2025-06-06T15:01:30-04:00
            [end_at] => 2025-06-06T21:01:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.40300000
            [high_after] => 1.23200000
            [low_before] => 1.18400000
            [low_after] => 1.16400000
            [is_new_high] => 
            [is_new_low] => 
        )

)