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Trade

sell - ALGO

Status
win
2025-06-17 21:11:25
13 minutes
PNL
0.47
Entry: 0.1709
Last: 0.17010000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.5107
Prediction 1 Accuracy
Weak Trade
0.63
Prediction 2 Accuracy
0 0.54
ML Trade Score: 90

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.0003402465082
Details
  1. score: 1.11
  2. 1H
  3. ema9 - 0.170246
  4. ema21 - 0.171899
  5. ema50 - 0.174681
  6. ema100 - 0.176441
  7. price_ema9_diff - 0.00384085
  8. ema9_ema21_diff - -0.00961991
  9. ema21_ema50_diff - -0.0159271
  10. price_ema100_diff - -0.0314063
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.443539
  14. kc_percentage - 0.397335
  15. kc_width_percentage - 0.0485721
  16. volume_ema_diff - -0.508491
    17. ¸
  17. 15m
  18. ema9 - 0.170089
  19. ema21 - 0.170019
  20. ema50 - 0.170695
  21. ema100 - 0.171948
  22. price_ema9_diff - 0.00476675
  23. ema9_ema21_diff - 0.000411447
  24. ema21_ema50_diff - -0.00396042
  25. price_ema100_diff - -0.00609955
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.545231
  29. kc_percentage - 0.729615
  30. kc_width_percentage - 0.0226494
  31. volume_ema_diff - -0.573
    32. ¸
  32. 5m
  33. ema9 - 0.170432
  34. ema21 - 0.170105
  35. ema50 - 0.169866
  36. ema100 - 0.169468
  37. price_ema9_diff - 0.00274563
  38. ema9_ema21_diff - 0.00191774
  39. ema21_ema50_diff - 0.00140831
  40. price_ema100_diff - 0.00844881
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.629107
  44. kc_percentage - 1.11377
  45. kc_width_percentage - 0.00739311
  46. volume_ema_diff - -0.217951
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104385
  50. 5m_price_ema100_diff: 0.00575655
  51. 5m_price: 104986
  52. 5m_correlation_with_coin: 0.699311
  53. btc_indicators
  54. 15m_ema100: 105289
  55. 15m_price_ema100_diff: -0.00287981
  56. 15m_price: 104986
  57. btc_indicators
  58. 1H_ema100: 105798
  59. 1H_price_ema100_diff: -0.00767664
  60. 1H_price: 104986
    61. ¸

Short Trade on ALGO

The 17 Jun 2025 at 21:11:25

With 15670 ALGO at 0.1709$ per unit.

Position size of 2679 $

Take profit at 0.1701 (0.47 %) and Stop Loss at 0.1714 (0.29 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: 26.11 %

Symbol Start at Seach Score Trade Score Trades Count
ADA 2025-06-17 21:14:57 0.9495 40 2
FLOKI 2025-06-17 21:08:34 0.961 30 2
DOT 2025-06-17 21:10:11 0.9646 40 1
ORDI 2025-06-17 21:12:31 0.96 30 1
GALA 2025-06-17 21:07:43 0.9435 -35 2
PNUT 2025-06-17 21:07:28 0.9561 30 1
POPCAT 2025-06-17 21:13:55 0.9473 30 1
BRETT 2025-06-17 21:09:56 0.9384 30 2
S 2025-06-17 21:14:44 0.9398 40 1

📌 Time Data

Start at Closed at Duration
17 Jun 2025
21:11:25		 17 Jun 2025
21:25:00		 13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1709 0.1714 0.1701 1.6 0.1735
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 0.1709
  • Stop Loss: 0.1714
  • Take Profit: 0.1701

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1714 - 0.1709 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1709 - 0.1701 = 0.0008

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0008 / 0.0005 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
2679 100 15670 26.79
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.1709 = 2734.4

Donc, tu peux acheter 16000 avec un stoploss a 0.1714

Avec un position size USD de 2734.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.0008 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position 16000
  • Taille de position USD 2734.4
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.47 % 13 $
SL % Target SL $ Target
0.29 % 7.8 $
PNL PNL %
13 $ 0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2341 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1699
            [stop_loss] => 0.1714
            [rr_ratio] => 2
            [closed_at] => 2025-06-17 21:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.16965
            [stop_loss] => 0.1714
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-17 21:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1694
            [stop_loss] => 0.1714
            [rr_ratio] => 3
            [closed_at] => 2025-06-17 21:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.16915
            [stop_loss] => 0.1714
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-17 22:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1689
            [stop_loss] => 0.1714
            [rr_ratio] => 4
            [closed_at] => 2025-06-17 22:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.16865
            [stop_loss] => 0.1714
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-17 22:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1684
            [stop_loss] => 0.1714
            [rr_ratio] => 5
            [closed_at] => 2025-06-18 00:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.16815
            [stop_loss] => 0.1714
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-18 00:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1679
            [stop_loss] => 0.1714
            [rr_ratio] => 6
            [closed_at] => 2025-06-18 00:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.16765
            [stop_loss] => 0.1714
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-18 00:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1674
            [stop_loss] => 0.1714
            [rr_ratio] => 7
            [closed_at] => 2025-06-18 00:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)