Trade

sell - ALGO

Status
win
2025-06-17 15:42:07
1 hour
PNL
1.04
Entry: 0.1727
Last: 0.17090000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.1571
Prediction 1 Accuracy
Weak Trade
0.57
Prediction 2 Accuracy
0 0.37
ML Trade Score: 80

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0007946625828
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.171107
  4. ema21 - 0.173486
  5. ema50 - 0.176017
  6. ema100 - 0.177397
  7. price_ema9_diff - 0.00930494
  8. ema9_ema21_diff - -0.0137122
  9. ema21_ema50_diff - -0.0143758
  10. price_ema100_diff - -0.0264781
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.452572
  14. kc_percentage - 0.43549
  15. kc_width_percentage - 0.0557306
  16. volume_ema_diff - 0.777126
  17. ¸
  18. 15m
  19. ema9 - 0.170373
  20. ema21 - 0.170173
  21. ema50 - 0.171925
  22. ema100 - 0.174869
  23. price_ema9_diff - 0.013655
  24. ema9_ema21_diff - 0.0011772
  25. ema21_ema50_diff - -0.0101916
  26. price_ema100_diff - -0.0124087
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.575533
  30. kc_percentage - 0.985064
  31. kc_width_percentage - 0.0306108
  32. volume_ema_diff - 0.283105
  33. ¸
  34. 5m
  35. ema9 - 0.171974
  36. ema21 - 0.170613
  37. ema50 - 0.169979
  38. ema100 - 0.170499
  39. price_ema9_diff - 0.00421865
  40. ema9_ema21_diff - 0.00797422
  41. ema21_ema50_diff - 0.00373121
  42. price_ema100_diff - 0.0129073
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.652917
  46. kc_percentage - 1.119
  47. kc_width_percentage - 0.0188135
  48. volume_ema_diff - -0.202871
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 104622
  53. 5m_price_ema100_diff: 0.00274354
  54. 5m_price: 104909
  55. 5m_correlation_with_coin: 0.669209
  56. btc_indicators
  57. 15m_ema100: 105996
  58. 15m_price_ema100_diff: -0.00978399
  59. 15m_price: 104959
  60. btc_indicators
  61. 1H_ema100: 105962
  62. 1H_price_ema100_diff: -0.00993509
  63. 1H_price: 104909
  64. ¸

Short Trade on ALGO

The 17 Jun 2025 at 15:42:07

With 6711 ALGO at 0.1727$ per unit.

Position size of 1159 $

Take profit at 0.1709 (1 %) and Stop Loss at 0.1739 (0.69 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 25 %

Symbol Start at Seach Score Trade Score Trades Count
LINK 2025-06-17 15:45:04 0.9845 35 2
NEAR 2025-06-17 15:41:52 0.9882 50 1
WLD 2025-06-17 15:44:48 0.9866 40 1
AVAX 2025-06-17 15:41:22 0.9856 30 1
GALA 2025-06-17 15:41:38 0.9854 30 1
ARB 2025-06-17 15:43:50 0.9851 40 1
ETHFI 2025-06-17 15:45:48 0.9843 30 1
OP 2025-06-17 15:42:35 0.9832 50 1
ORDI 2025-06-17 15:44:22 0.9827 30 1
ADA 2025-06-17 15:39:42 0.9826 30 1
RENDER 2025-06-17 15:47:37 0.9822 30 1
FLOKI 2025-06-17 15:44:05 0.9816 30 1
WIF 2025-06-17 15:45:35 0.9814 -100 1

📌 Time Data

Start at Closed at Duration
17 Jun 2025
15:42:07
17 Jun 2025
17:05:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1727 0.1739 0.1709 1.5 0.174
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 0.1727
  • Stop Loss: 0.1739
  • Take Profit: 0.1709

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1739 - 0.1727 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1727 - 0.1709 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.0012 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1159 100 6711 11.59
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.1727 = 1151.33

Donc, tu peux acheter 6666.67 avec un stoploss a 0.1739

Avec un position size USD de 1151.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0018 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 1151.33
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1 % 12 $
SL % Target SL $ Target
0.69 % 8.1 $
PNL PNL %
12 $ 1.04
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.579 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1703
            [stop_loss] => 0.1739
            [rr_ratio] => 2
            [closed_at] => 2025-06-17 17:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1697
            [stop_loss] => 0.1739
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-17 17:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1691
            [stop_loss] => 0.1739
            [rr_ratio] => 3
            [closed_at] => 2025-06-17 17:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1685
            [stop_loss] => 0.1739
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-17 18:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1679
            [stop_loss] => 0.1739
            [rr_ratio] => 4
            [closed_at] => 2025-06-17 18:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)