Trade

buy - XLM

Status
win
2025-07-10 00:06:40
1 hour
PNL
0.97
Entry: 0.2874
Last: 0.29020000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.8048
Prediction 1 Accuracy
Weak Trade
0.54
Prediction 2 Accuracy
1 0.57
ML Trade Score: 120
ML Pullback Score: 9.56

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.001220716233
Details
  1. score: 2.1
  2. 1H
  3. ema9 - 0.28842
  4. ema21 - 0.283708
  5. ema50 - 0.272496
  6. ema100 - 0.261935
  7. price_ema9_diff - -0.00336474
  8. ema9_ema21_diff - 0.0166074
  9. ema21_ema50_diff - 0.0411479
  10. price_ema100_diff - 0.0974085
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.597115
  14. kc_percentage - 0.667577
  15. kc_width_percentage - 0.0680416
  16. volume_ema_diff - -0.180877
  17. volume_ema1 - 2038096.3989891
  18. volume_ema2 - 2488144.9269732
  19. ¸
  20. 15m
  21. ema9 - 0.29002
  22. ema21 - 0.289832
  23. ema50 - 0.287648
  24. ema100 - 0.282256
  25. price_ema9_diff - -0.00886244
  26. ema9_ema21_diff - 0.000647729
  27. ema21_ema50_diff - 0.00759304
  28. price_ema100_diff - 0.0183998
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.443216
  32. kc_percentage - 0.22761
  33. kc_width_percentage - 0.030966
  34. volume_ema_diff - -0.334067
  35. volume_ema1 - 535536.77665423
  36. volume_ema2 - 804191.31644567
  37. ¸
  38. 5m
  39. ema9 - 0.289149
  40. ema21 - 0.290388
  41. ema50 - 0.290391
  42. ema100 - 0.289981
  43. price_ema9_diff - -0.00587685
  44. ema9_ema21_diff - -0.00426651
  45. ema21_ema50_diff - -1.01706E-5
  46. price_ema100_diff - -0.00872979
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.302392
  50. kc_percentage - -0.0973543
  51. kc_width_percentage - 0.0168462
  52. volume_ema_diff - -0.149008
  53. volume_ema1 - 191620.46869098
  54. volume_ema2 - 225173.14650099
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 111215
  59. 5m_price_ema100_diff: -0.0023905
  60. 5m_price: 110950
  61. 5m_correlation_with_coin: 0.309416
  62. btc_indicators
  63. 15m_ema100: 110000
  64. 15m_price_ema100_diff: 0.00863379
  65. 15m_price: 110950
  66. btc_indicators
  67. 1H_ema100: 109014
  68. 1H_price_ema100_diff: 0.0177503
  69. 1H_price: 110950
  70. ¸

Long Trade on XLM

The 10 Jul 2025 at 00:06:40

With 4369.0198 XLM at 0.2874$ per unit.

Position size of 1255.8747 $

Take profit at 0.2902 (0.97 %) and Stop Loss at 0.2856 (0.63 %)

That's a 1.56 RR Trade

📌 Similar Trades

Similar Trade Score: -5.83 %

Symbol Start at Seach Score Trade Score Trades Count
BOME 2025-05-14 04:12:37 0.8679 40 1
ALCH 2025-06-04 03:00:08 0.8524 40 2
DOGE 2025-05-14 03:34:21 0.8028 -100 5
ZEREBRO 2025-05-14 03:31:26 0.8128 -100 1
POL 2025-07-03 04:16:50 0.7905 50 2
UMA 2025-06-09 22:09:16 0.7854 35 2

📌 Time Data

Start at Closed at Duration
10 Jul 2025
00:06:40
10 Jul 2025
01:50:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2874 0.2856 0.2902 1.56 0.4328
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 0.2874
  • Stop Loss: 0.2856
  • Take Profit: 0.2902

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2856 - 0.2874 = -0.0018

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2874 - 0.2902 = -0.0028

  • Risk-Reward Ratio:

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

📌 Position Size

Amount Margin Quantity Leverage
1255.8747 100 4369.0198 12.56
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 0.2874 = -1277.33

Donc, tu peux acheter -4444.44 avec un stoploss a 0.2856

Avec un position size USD de -1277.33$

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 -1277.33
  • Perte potentielle 8
  • Gain potentiel 12.44
  • Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target TP $ Target
0.97 % 12.23 $
SL % Target SL $ Target
0.63 % 7.86 $
PNL PNL %
12.24 $ 0.97
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3514 % 56.11 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.291
            [stop_loss] => 0.2856
            [rr_ratio] => 2
            [closed_at] => 2025-07-10 01:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2919
            [stop_loss] => 0.2856
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-10 03:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2928
            [stop_loss] => 0.2856
            [rr_ratio] => 3
            [closed_at] => 2025-07-10 03:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2937
            [stop_loss] => 0.2856
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-10 03:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2946
            [stop_loss] => 0.2856
            [rr_ratio] => 4
            [closed_at] => 2025-07-10 03:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2955
            [stop_loss] => 0.2856
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-10 04:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2964
            [stop_loss] => 0.2856
            [rr_ratio] => 5
            [closed_at] => 2025-07-10 04:25:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.2973
            [stop_loss] => 0.2856
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-10 04:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2982
            [stop_loss] => 0.2856
            [rr_ratio] => 6
            [closed_at] => 2025-07-10 04:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00449
            [max_drawdown] => 0.00101
            [rr_ratio] => 4.45
            [high] => 0.29189000
            [low] => 0.28639000
            [mfe_pct] => 1.56
            [mae_pct] => 0.35
            [mfe_mae_ratio] => 4.45
            [candles_analyzed] => 24
            [start_at] => 2025-07-10T00:06:40-04:00
            [end_at] => 2025-07-10T02:06:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01136
            [max_drawdown] => 0.00101
            [rr_ratio] => 11.25
            [high] => 0.29876000
            [low] => 0.28639000
            [mfe_pct] => 3.95
            [mae_pct] => 0.35
            [mfe_mae_ratio] => 11.25
            [candles_analyzed] => 72
            [start_at] => 2025-07-10T00:06:40-04:00
            [end_at] => 2025-07-10T06:06:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29558000
            [high_after] => 0.29876000
            [low_before] => 0.28484000
            [low_after] => 0.28639000
            [is_new_high] => 1
            [is_new_low] => 
        )

)