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Trade

buy - ALGO

Status
win
2025-07-02 19:35:22
24 minutes
PNL
0.55
Entry: 0.1808
Last: 0.18180000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.5625
Prediction 1 Accuracy
Strong Trade
0.53
Prediction 2 Accuracy
1 0.48
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.25
  4. atr: 0.0004275243069
Details
  1. score: 2.25
  2. 1H
  3. ema9 - 0.181035
  4. ema21 - 0.179099
  5. ema50 - 0.17875
  6. ema100 - 0.178699
  7. price_ema9_diff - -0.00130311
  8. ema9_ema21_diff - 0.0108142
  9. ema21_ema50_diff - 0.0019503
  10. price_ema100_diff - 0.0117531
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.555706
  14. kc_percentage - 0.68707
  15. kc_width_percentage - 0.0477844
  16. volume_ema_diff - -0.322854
  17. volume_ema1 - 184879.10765388
  18. volume_ema2 - 273027.03815479
    19. ¸
  19. 15m
  20. ema9 - 0.181971
  21. ema21 - 0.181925
  22. ema50 - 0.180119
  23. ema100 - 0.177667
  24. price_ema9_diff - -0.00643769
  25. ema9_ema21_diff - 0.000250512
  26. ema21_ema50_diff - 0.0100312
  27. price_ema100_diff - 0.0176309
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.440093
  31. kc_percentage - 0.18287
  32. kc_width_percentage - 0.0203754
  33. volume_ema_diff - -0.185435
  34. volume_ema1 - 44331.152870913
  35. volume_ema2 - 54423.121615787
    36. ¸
  36. 5m
  37. ema9 - 0.181432
  38. ema21 - 0.182043
  39. ema50 - 0.182231
  40. ema100 - 0.181677
  41. price_ema9_diff - -0.00348848
  42. ema9_ema21_diff - -0.00335133
  43. ema21_ema50_diff - -0.00103658
  44. price_ema100_diff - -0.00482914
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.327705
  48. kc_percentage - -0.249632
  49. kc_width_percentage - 0.0089534
  50. volume_ema_diff - -0.385524
  51. volume_ema1 - 9758.4546056362
  52. volume_ema2 - 15880.942935673
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 109092
  56. 5m_price_ema100_diff: -0.00169096
  57. 5m_price: 108907
  58. 5m_correlation_with_coin: -0.026748
  59. btc_indicators
  60. 15m_ema100: 107908
  61. 15m_price_ema100_diff: 0.00926189
  62. 15m_price: 108907
  63. btc_indicators
  64. 1H_ema100: 107359
  65. 1H_price_ema100_diff: 0.0144195
  66. 1H_price: 108907
    67. ¸

Long Trade on ALGO

The 02 Jul 2025 at 19:35:22

With 12470 ALGO at 0.1808$ per unit.

Position size of 2255 $

Take profit at 0.1818 (0.55 %) and Stop Loss at 0.1802 (0.33 %)

That's a 1.7 RR Trade

📌 Similar Trades

Similar Trade Score: -51.67 %

Symbol Start at Seach Score Trade Score Trades Count
RUNE 2025-07-02 19:41:10 0.9827 -100 2
FET 2025-07-02 19:36:30 0.9855 50 1
VET 2025-07-02 19:37:10 0.9808 40 1
AVAX 2025-07-02 19:39:07 0.9796 35 2
DOGE 2025-07-02 19:36:59 0.9791 -100 2
OP 2025-07-02 19:36:01 0.9789 -100 1
LINK 2025-07-02 19:36:23 0.9778 -100 2
FLOKI 2025-07-02 19:37:31 0.978 -100 1
XRP 2025-07-02 19:40:14 0.9774 -90 1

📌 Time Data

Start at Closed at Duration
02 Jul 2025
19:35:22		 02 Jul 2025
20:00:00		 24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1808 0.1802 0.1818 1.7 0.1737
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 0.1808
  • Stop Loss: 0.1802
  • Take Profit: 0.1818

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1802 - 0.1808 = -0.00059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1808 - 0.1818 = -0.001

  • Risk-Reward Ratio:

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

📌 Position Size

Amount Margin Quantity Leverage
2255 100 12470 22.55
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 -0.00059999999999999

Taille de position = 8 / -0.00059999999999999 = -13333.33

Taille de position USD = -13333.33 x 0.1808 = -2410.67

Donc, tu peux acheter -13333.33 avec un stoploss a 0.1802

Avec un position size USD de -2410.67$

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 -2410.67
  • Perte potentielle 8
  • Gain potentiel 13.33
  • Risk-Reward Ratio 1.6667

📌 Peformances

TP % Target TP $ Target
0.55 % 12 $
SL % Target SL $ Target
0.33 % 7.5 $
PNL PNL %
12 $ 0.55
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2765 % 83.31 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.182
            [stop_loss] => 0.1802
            [rr_ratio] => 2
            [closed_at] => 2025-07-02 20:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1823
            [stop_loss] => 0.1802
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-02 20:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1826
            [stop_loss] => 0.1802
            [rr_ratio] => 3
            [closed_at] => 2025-07-02 20:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1829
            [stop_loss] => 0.1802
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-02 20:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1832
            [stop_loss] => 0.1802
            [rr_ratio] => 4
            [closed_at] => 2025-07-02 21:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1835
            [stop_loss] => 0.1802
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-02 21:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1838
            [stop_loss] => 0.1802
            [rr_ratio] => 5
            [closed_at] => 2025-07-02 21:55:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1841
            [stop_loss] => 0.1802
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-02 22:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1844
            [stop_loss] => 0.1802
            [rr_ratio] => 6
            [closed_at] => 2025-07-02 23:00:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.1847
            [stop_loss] => 0.1802
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-02 23:00:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.185
            [stop_loss] => 0.1802
            [rr_ratio] => 7
            [closed_at] => 2025-07-03 01:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)