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Trade

buy - ALGO

Status
win
2025-07-03 07:24:42
1 hour
PNL
0.54
Entry: 0.1853
Last: 0.18630000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.3
Prediction 1 Accuracy
Weak Trade
0.64
Prediction 2 Accuracy
0 0.5
ML Trade Score: 60

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.000422464557
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 0.185584
  4. ema21 - 0.183547
  5. ema50 - 0.18137
  6. ema100 - 0.180684
  7. price_ema9_diff - -0.0015335
  8. ema9_ema21_diff - 0.0110992
  9. ema21_ema50_diff - 0.0120047
  10. price_ema100_diff - 0.0255458
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.578016
  14. kc_percentage - 0.702062
  15. kc_width_percentage - 0.0427608
  16. volume_ema_diff - -0.310849
  17. volume_ema1 - 171063.41389736
  18. volume_ema2 - 248223.61401506
    19. ¸
  19. 15m
  20. ema9 - 0.186274
  21. ema21 - 0.186268
  22. ema50 - 0.184994
  23. ema100 - 0.182857
  24. price_ema9_diff - -0.00523056
  25. ema9_ema21_diff - 2.98373E-5
  26. ema21_ema50_diff - 0.00688747
  27. price_ema100_diff - 0.0133564
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.469673
  31. kc_percentage - 0.200506
  32. kc_width_percentage - 0.0179364
  33. volume_ema_diff - -0.331986
  34. volume_ema1 - 35469.357140396
  35. volume_ema2 - 53096.748752613
    36. ¸
  36. 5m
  37. ema9 - 0.185855
  38. ema21 - 0.186152
  39. ema50 - 0.186331
  40. ema100 - 0.185933
  41. price_ema9_diff - -0.00298968
  42. ema9_ema21_diff - -0.00159245
  43. ema21_ema50_diff - -0.000961536
  44. price_ema100_diff - -0.0034076
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.380079
  48. kc_percentage - -0.00605795
  49. kc_width_percentage - 0.0088786
  50. volume_ema_diff - -0.523181
  51. volume_ema1 - 8978.7025291917
  52. volume_ema2 - 18830.429140498
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 109376
  56. 5m_price_ema100_diff: 0.00286105
  57. 5m_price: 109689
  58. 5m_correlation_with_coin: 0.531833
  59. btc_indicators
  60. 15m_ema100: 108948
  61. 15m_price_ema100_diff: 0.00662925
  62. 15m_price: 109670
  63. btc_indicators
  64. 1H_ema100: 107824
  65. 1H_price_ema100_diff: 0.0172921
  66. 1H_price: 109689
    67. ¸

Long Trade on ALGO

The 03 Jul 2025 at 07:24:42

With 12620 ALGO at 0.1853$ per unit.

Position size of 2339 $

Take profit at 0.1863 (0.54 %) and Stop Loss at 0.1847 (0.32 %)

That's a 1.7 RR Trade

📌 Similar Trades

Similar Trade Score: -41.67 %

Symbol Start at Seach Score Trade Score Trades Count
AI16Z 2025-04-28 08:39:05 0.9581 -100 2
NEAR 2025-07-03 07:18:52 0.9558 -30 2
LTC 2025-04-09 19:27:03 0.9537 -100 6
BNB 2025-07-02 08:44:18 0.9514 50 1
ARC 2025-04-28 08:10:15 0.9492 30 1
ARB 2025-04-09 19:27:41 0.9492 -100 2

📌 Time Data

Start at Closed at Duration
03 Jul 2025
07:24:42		 03 Jul 2025
08:30:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1853 0.1847 0.1863 1.7 0.1916
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 0.1853
  • Stop Loss: 0.1847
  • Take Profit: 0.1863

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1847 - 0.1853 = -0.00059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1853 - 0.1863 = -0.001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.001 / -0.00059999999999999 = 1.6667

📌 Position Size

Amount Margin Quantity Leverage
2339 100 12620 23.39
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 -0.00059999999999999

Taille de position = 8 / -0.00059999999999999 = -13333.33

Taille de position USD = -13333.33 x 0.1853 = -2470.67

Donc, tu peux acheter -13333.33 avec un stoploss a 0.1847

Avec un position size USD de -2470.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -13333.33 x -0.00059999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -13333.33 x -0.001 = 13.33

Si Take Profit atteint, tu gagneras 13.33$

Résumé

  • Taille de position -13333.33
  • Taille de position USD -2470.67
  • Perte potentielle 8
  • Gain potentiel 13.33
  • Risk-Reward Ratio 1.6667

📌 Peformances

TP % Target TP $ Target
0.54 % 13 $
SL % Target SL $ Target
0.32 % 7.6 $
PNL PNL %
13 $ 0.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2698 % 83.32 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1865
            [stop_loss] => 0.1847
            [rr_ratio] => 2
            [closed_at] => 2025-07-03 08:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1868
            [stop_loss] => 0.1847
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-03 08:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1871
            [stop_loss] => 0.1847
            [rr_ratio] => 3
            [closed_at] => 2025-07-03 08:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1874
            [stop_loss] => 0.1847
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1877
            [stop_loss] => 0.1847
            [rr_ratio] => 4
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.188
            [stop_loss] => 0.1847
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1883
            [stop_loss] => 0.1847
            [rr_ratio] => 5
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1886
            [stop_loss] => 0.1847
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1889
            [stop_loss] => 0.1847
            [rr_ratio] => 6
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1892
            [stop_loss] => 0.1847
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1895
            [stop_loss] => 0.1847
            [rr_ratio] => 7
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)