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Trade

sell - ALGO

Status
win
2025-06-17 20:16:45
8 minutes
PNL
0.47
Entry: 0.1703
Last: 0.16950000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.0091
Prediction 1 Accuracy
Weak Trade
0.57
Prediction 2 Accuracy
0 0.47
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0003564507217
Details
  1. score: 1
  2. 1H
  3. ema9 - 0.170102
  4. ema21 - 0.172008
  5. ema50 - 0.174849
  6. ema100 - 0.176624
  7. price_ema9_diff - 0.00116026
  8. ema9_ema21_diff - -0.0110822
  9. ema21_ema50_diff - -0.0162476
  10. price_ema100_diff - -0.0358067
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.423255
  14. kc_percentage - 0.320822
  15. kc_width_percentage - 0.0508448
  16. volume_ema_diff - -0.408051
    17. ¸
  17. 15m
  18. ema9 - 0.169815
  19. ema21 - 0.169926
  20. ema50 - 0.170804
  21. ema100 - 0.172449
  22. price_ema9_diff - 0.00285482
  23. ema9_ema21_diff - -0.000656624
  24. ema21_ema50_diff - -0.00513819
  25. price_ema100_diff - -0.0124645
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.515304
  29. kc_percentage - 0.607887
  30. kc_width_percentage - 0.0212617
  31. volume_ema_diff - -0.79615
    32. ¸
  32. 5m
  33. ema9 - 0.169963
  34. ema21 - 0.169677
  35. ema50 - 0.169734
  36. ema100 - 0.169848
  37. price_ema9_diff - 0.00197756
  38. ema9_ema21_diff - 0.00168878
  39. ema21_ema50_diff - -0.000339394
  40. price_ema100_diff - 0.00265805
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.595178
  44. kc_percentage - 1.00047
  45. kc_width_percentage - 0.00720121
  46. volume_ema_diff - -0.827898
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104410
  50. 5m_price_ema100_diff: 0.00115542
  51. 5m_price: 104530
  52. 5m_correlation_with_coin: 0.696724
  53. btc_indicators
  54. 15m_ema100: 105367
  55. 15m_price_ema100_diff: -0.00794399
  56. 15m_price: 104530
  57. btc_indicators
  58. 1H_ema100: 105789
  59. 1H_price_ema100_diff: -0.0119006
  60. 1H_price: 104530
    61. ¸

Short Trade on ALGO

The 17 Jun 2025 at 20:16:45

With 14960 ALGO at 0.1703$ per unit.

Position size of 2548 $

Take profit at 0.1695 (0.47 %) and Stop Loss at 0.1708 (0.29 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -9 %

Symbol Start at Seach Score Trade Score Trades Count
AVAX 2025-06-17 20:11:52 0.9706 30 2
OP 2025-06-17 20:29:56 0.9343 -35 2
ONDO 2025-06-17 20:18:13 0.9437 30 1
APT 2025-06-17 20:07:43 0.9386 30 1
TRUMP 2025-06-17 20:10:24 0.9352 30 1
SHIB 2025-06-17 20:21:42 0.9308 30 1
BNB 2025-06-17 20:18:26 0.9199 -35 2
MKR 2025-06-26 21:14:31 0.8976 -100 1
FLOKI 2025-06-17 20:43:25 0.8964 -100 1
ICP 2025-06-17 20:16:06 0.8945 30 1

📌 Time Data

Start at Closed at Duration
17 Jun 2025
20:16:45		 17 Jun 2025
20:25:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1703 0.1708 0.1695 1.6 0.1765
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 0.1703
  • Stop Loss: 0.1708
  • Take Profit: 0.1695

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1708 - 0.1703 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1703 - 0.1695 = 0.0008

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0008 / 0.0005 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
2548 100 14960 25.48
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 0.1703 = 2724.8

Donc, tu peux acheter 16000 avec un stoploss a 0.1708

Avec un position size USD de 2724.8$

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 2724.8
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.47 % 12 $
SL % Target SL $ Target
0.29 % 7.5 $
PNL PNL %
12 $ 0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1693
            [stop_loss] => 0.1708
            [rr_ratio] => 2
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.16905
            [stop_loss] => 0.1708
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1688
            [stop_loss] => 0.1708
            [rr_ratio] => 3
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.16855
            [stop_loss] => 0.1708
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1683
            [stop_loss] => 0.1708
            [rr_ratio] => 4
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.16805
            [stop_loss] => 0.1708
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1678
            [stop_loss] => 0.1708
            [rr_ratio] => 5
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.16755
            [stop_loss] => 0.1708
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1673
            [stop_loss] => 0.1708
            [rr_ratio] => 6
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.16705
            [stop_loss] => 0.1708
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1668
            [stop_loss] => 0.1708
            [rr_ratio] => 7
            [closed_at] => 2025-06-17 21:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)