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Trade

sell - ALGO

Status
win
2025-06-17 21:21:25
3 minutes
PNL
0.41
Entry: 0.1711
Last: 0.17040000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.6042
Prediction 1 Accuracy
Weak Trade
0.63
Prediction 2 Accuracy
0 0.53
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.0003199135179
Details
  1. score: 1.18
  2. 1H
  3. ema9 - 0.170286
  4. ema21 - 0.171917
  5. ema50 - 0.174689
  6. ema100 - 0.176445
  7. price_ema9_diff - 0.00477954
  8. ema9_ema21_diff - -0.00949198
  9. ema21_ema50_diff - -0.0158672
  10. price_ema100_diff - -0.0302946
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.44991
  14. kc_percentage - 0.419521
  15. kc_width_percentage - 0.0487492
  16. volume_ema_diff - -0.493656
    17. ¸
  17. 15m
  18. ema9 - 0.170291
  19. ema21 - 0.170117
  20. ema50 - 0.170692
  21. ema100 - 0.171796
  22. price_ema9_diff - 0.00474844
  23. ema9_ema21_diff - 0.00102243
  24. ema21_ema50_diff - -0.00337105
  25. price_ema100_diff - -0.00405524
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.55533
  29. kc_percentage - 0.770373
  30. kc_width_percentage - 0.0212953
  31. volume_ema_diff - -0.639837
    32. ¸
  32. 5m
  33. ema9 - 0.170672
  34. ema21 - 0.170278
  35. ema50 - 0.169957
  36. ema100 - 0.169504
  37. price_ema9_diff - 0.0025047
  38. ema9_ema21_diff - 0.00231475
  39. ema21_ema50_diff - 0.00188661
  40. price_ema100_diff - 0.00941065
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.649708
  44. kc_percentage - 1.18402
  45. kc_width_percentage - 0.00682305
  46. volume_ema_diff - -0.162909
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104414
  50. 5m_price_ema100_diff: 0.00605563
  51. 5m_price: 105047
  52. 5m_correlation_with_coin: 0.717383
  53. btc_indicators
  54. 15m_ema100: 105275
  55. 15m_price_ema100_diff: -0.00216396
  56. 15m_price: 105047
  57. btc_indicators
  58. 1H_ema100: 105799
  59. 1H_price_ema100_diff: -0.00710955
  60. 1H_price: 105047
    61. ¸

Short Trade on ALGO

The 17 Jun 2025 at 21:21:25

With 16670 ALGO at 0.1711$ per unit.

Position size of 2852 $

Take profit at 0.1704 (0.41 %) and Stop Loss at 0.1716 (0.29 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: 34.55 %

Symbol Start at Seach Score Trade Score Trades Count
ADA 2025-06-17 21:20:04 0.9752 40 1
FLOKI 2025-06-17 21:17:14 0.9523 30 2
ETC 2025-06-17 21:20:21 0.9607 30 1
LINK 2025-06-17 21:20:38 0.9595 30 1
ORDI 2025-06-17 21:17:42 0.945 30 2
WIF 2025-06-17 21:23:25 0.9551 40 1
APT 2025-06-17 21:21:40 0.9534 30 1
POPCAT 2025-06-17 21:24:47 0.9457 40 1
DOT 2025-06-17 21:10:11 0.9354 40 1
SUI 2025-06-17 21:22:34 0.9329 40 1
ONDO 2025-06-17 21:23:40 0.9324 30 1

📌 Time Data

Start at Closed at Duration
17 Jun 2025
21:21:25		 17 Jun 2025
21:25:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1711 0.1716 0.1704 1.4 0.1741
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 0.1711
  • Stop Loss: 0.1716
  • Take Profit: 0.1704

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1716 - 0.1711 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1711 - 0.1704 = 0.00070000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00070000000000001 / 0.0005 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
2852 100 16670 28.52
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 0.1711 = 2737.6

Donc, tu peux acheter 16000 avec un stoploss a 0.1716

Avec un position size USD de 2737.6$

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 0.00070000000000001 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position 16000
  • Taille de position USD 2737.6
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
0.41 % 12 $
SL % Target SL $ Target
0.29 % 8.3 $
PNL PNL %
12 $ 0.41
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1701
            [stop_loss] => 0.1716
            [rr_ratio] => 2
            [closed_at] => 2025-06-17 21:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.16985
            [stop_loss] => 0.1716
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-17 21:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1696
            [stop_loss] => 0.1716
            [rr_ratio] => 3
            [closed_at] => 2025-06-17 21:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.16935
            [stop_loss] => 0.1716
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-17 21:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1691
            [stop_loss] => 0.1716
            [rr_ratio] => 4
            [closed_at] => 2025-06-17 22:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.16885
            [stop_loss] => 0.1716
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-17 22:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1686
            [stop_loss] => 0.1716
            [rr_ratio] => 5
            [closed_at] => 2025-06-17 22:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.16835
            [stop_loss] => 0.1716
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-18 00:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1681
            [stop_loss] => 0.1716
            [rr_ratio] => 6
            [closed_at] => 2025-06-18 00:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.16785
            [stop_loss] => 0.1716
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-18 00:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1676
            [stop_loss] => 0.1716
            [rr_ratio] => 7
            [closed_at] => 2025-06-18 00:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)