Web3Way Logo

Trade

buy - XLM

Status
win
2025-07-09 17:13:00
22 minutes
PNL
0.98
Entry: 0.2848
Last: 0.28760000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.4286
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
0 0.52
Prediction 3 Probability
n/a
ML Trade Score: 110
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.001210683072
Details
  1. score: 2.05
  2. 1H
  3. ema9 - 0.285794
  4. ema21 - 0.27843
  5. ema50 - 0.266999
  6. ema100 - 0.25744
  7. price_ema9_diff - -0.00334097
  8. ema9_ema21_diff - 0.0264476
  9. ema21_ema50_diff - 0.0428129
  10. price_ema100_diff - 0.106431
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.646487
  14. kc_percentage - 0.801124
  15. kc_width_percentage - 0.068053
  16. volume_ema_diff - 0.101628
  17. volume_ema1 - 2638890.2919302
  18. volume_ema2 - 2395443.9933247
    19. ¸
  19. 15m
  20. ema9 - 0.287561
  21. ema21 - 0.288027
  22. ema50 - 0.283576
  23. ema100 - 0.276256
  24. price_ema9_diff - -0.0094649
  25. ema9_ema21_diff - -0.00161692
  26. ema21_ema50_diff - 0.0156951
  27. price_ema100_diff - 0.0310703
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.426321
  31. kc_percentage - 0.166732
  32. kc_width_percentage - 0.0341822
  33. volume_ema_diff - -0.426166
  34. volume_ema1 - 595513.75320311
  35. volume_ema2 - 1037781.899346
    36. ¸
  36. 5m
  37. ema9 - 0.286532
  38. ema21 - 0.28751
  39. ema50 - 0.28854
  40. ema100 - 0.288725
  41. price_ema9_diff - -0.00590853
  42. ema9_ema21_diff - -0.00340137
  43. ema21_ema50_diff - -0.00356857
  44. price_ema100_diff - -0.0134581
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.296899
  48. kc_percentage - -0.0514808
  49. kc_width_percentage - 0.0166014
  50. volume_ema_diff - -0.341288
  51. volume_ema1 - 178294.54814576
  52. volume_ema2 - 270671.66571471
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 109899
  56. 5m_price_ema100_diff: 0.00983771
  57. 5m_price: 110980
  58. 5m_correlation_with_coin: 0.335255
  59. btc_indicators
  60. 15m_ema100: 109259
  61. 15m_price_ema100_diff: 0.0157451
  62. 15m_price: 110980
  63. btc_indicators
  64. 1H_ema100: 108677
  65. 1H_price_ema100_diff: 0.0211937
  66. 1H_price: 110980
    67. ¸

Long Trade on XLM

The 09 Jul 2025 at 17:13:00

With 4405.2266 XLM at 0.2848$ per unit.

Position size of 1254.7848 $

Take profit at 0.2876 (0.98 %) and Stop Loss at 0.283 (0.63 %)

That's a 1.56 RR Trade

📌 Similar Trades

Similar Trade Score: -56.67 %

Symbol Start at Seach Score Trade Score Trades Count
BTC 2025-08-11 07:24:13 0.9797 -100 1
STX 2025-05-10 07:26:26 0.9793 -100 1
BCH 2025-04-09 22:53:28 0.9785 -100 6
KAITO 2025-08-20 20:20:53 0.9789 -100 1
1000BONK 2025-04-26 03:41:21 0.9783 -100 1
OMNI1 2025-07-27 11:31:29 0.978 30 1
BGB 2025-06-27 04:26:33 0.978 30 1
BOME 2025-05-13 21:36:18 0.9778 30 1
MEW 2025-05-12 08:35:47 0.9778 -100 1

📌 Time Data

Start at Closed at Duration
09 Jul 2025
17:13:00		 09 Jul 2025
17:35:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2848 0.283 0.2876 1.56 0.383
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 0.2848
  • Stop Loss: 0.283
  • Take Profit: 0.2876

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.283 - 0.2848 = -0.0018

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2848 - 0.2876 = -0.0028

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0028 / -0.0018 = 1.5556

📌 Position Size

Amount Margin Quantity Leverage
1254.7848 100 4405.2266 12.55
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 -0.0018

Taille de position = 8 / -0.0018 = -4444.44

Taille de position USD = -4444.44 x 0.2848 = -1265.78

Donc, tu peux acheter -4444.44 avec un stoploss a 0.283

Avec un position size USD de -1265.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4444.44 x -0.0018 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4444.44 x -0.0028 = 12.44

Si Take Profit atteint, tu gagneras 12.44$

Résumé

  • Taille de position -4444.44
  • Taille de position USD -1265.78
  • Perte potentielle 8
  • Gain potentiel 12.44
  • Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target TP $ Target
0.98 % 12.33 $
SL % Target SL $ Target
0.63 % 7.93 $
PNL PNL %
12.34 $ 0.98
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1159 % 18.34 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2884
            [stop_loss] => 0.283
            [rr_ratio] => 2
            [closed_at] => 2025-07-09 17:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2893
            [stop_loss] => 0.283
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-09 19:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2902
            [stop_loss] => 0.283
            [rr_ratio] => 3
            [closed_at] => 2025-07-09 20:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2911
            [stop_loss] => 0.283
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-09 20:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.292
            [stop_loss] => 0.283
            [rr_ratio] => 4
            [closed_at] => 2025-07-09 21:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2929
            [stop_loss] => 0.283
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-09 21:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2938
            [stop_loss] => 0.283
            [rr_ratio] => 5
            [closed_at] => 2025-07-09 21:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.2947
            [stop_loss] => 0.283
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-09 22:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.005
            [max_drawdown] => 0.00033
            [rr_ratio] => 15.15
            [high] => 0.28980000
            [low] => 0.28447000
            [mfe_pct] => 1.76
            [mae_pct] => 0.12
            [mfe_mae_ratio] => 15.15
            [candles_analyzed] => 24
            [start_at] => 2025-07-09T17:13:00-04:00
            [end_at] => 2025-07-09T19:13:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01078
            [max_drawdown] => 0.00033
            [rr_ratio] => 32.67
            [high] => 0.29558000
            [low] => 0.28447000
            [mfe_pct] => 3.79
            [mae_pct] => 0.12
            [mfe_mae_ratio] => 32.67
            [candles_analyzed] => 72
            [start_at] => 2025-07-09T17:13:00-04:00
            [end_at] => 2025-07-09T23:13:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29178000
            [high_after] => 0.29558000
            [low_before] => 0.28441000
            [low_after] => 0.28447000
            [is_new_high] => 1
            [is_new_low] => 
        )

)