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Trade

buy - POL

Status
win
2025-07-03 04:11:50
8 minutes
PNL
0.47
Entry: 0.19
Last: 0.19090000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.525
Prediction 1 Accuracy
Weak Trade
0.68
Prediction 2 Accuracy
0 0.5
ML Trade Score: 70

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.4
  4. atr: 0.0003861824845
Details
  1. score: 2.4
  2. 1H
  3. ema9 - 0.190315
  4. ema21 - 0.188149
  5. ema50 - 0.185291
  6. ema100 - 0.183262
  7. price_ema9_diff - -0.00165903
  8. ema9_ema21_diff - 0.0115143
  9. ema21_ema50_diff - 0.0154208
  10. price_ema100_diff - 0.0367622
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.60074
  14. kc_percentage - 0.758932
  15. kc_width_percentage - 0.0342397
  16. volume_ema_diff - -0.148728
  17. volume_ema1 - 160639.74373012
  18. volume_ema2 - 188705.55005774
    19. ¸
  19. 15m
  20. ema9 - 0.191459
  21. ema21 - 0.191021
  22. ema50 - 0.189652
  23. ema100 - 0.187296
  24. price_ema9_diff - -0.00762123
  25. ema9_ema21_diff - 0.00229244
  26. ema21_ema50_diff - 0.00721815
  27. price_ema100_diff - 0.0144353
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.438208
  31. kc_percentage - 0.124885
  32. kc_width_percentage - 0.0149139
  33. volume_ema_diff - 0.675328
  34. volume_ema1 - 77781.469389223
  35. volume_ema2 - 46427.585622029
    36. ¸
  36. 5m
  37. ema9 - 0.191244
  38. ema21 - 0.191533
  39. ema50 - 0.191176
  40. ema100 - 0.190433
  41. price_ema9_diff - -0.00650911
  42. ema9_ema21_diff - -0.00150508
  43. ema21_ema50_diff - 0.00186337
  44. price_ema100_diff - -0.0022778
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.303785
  48. kc_percentage - -0.396102
  49. kc_width_percentage - 0.00899408
  50. volume_ema_diff - 1.0218
  51. volume_ema1 - 37132.761011164
  52. volume_ema2 - 18366.167066204
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 109042
  56. 5m_price_ema100_diff: 0.00289144
  57. 5m_price: 109358
  58. 5m_correlation_with_coin: 0.434354
  59. btc_indicators
  60. 15m_ema100: 108580
  61. 15m_price_ema100_diff: 0.00716002
  62. 15m_price: 109358
  63. btc_indicators
  64. 1H_ema100: 107650
  65. 1H_price_ema100_diff: 0.015866
  66. 1H_price: 109358
    67. ¸

Long Trade on POL

The 03 Jul 2025 at 04:11:50

With 13810 POL at 0.19$ per unit.

Position size of 2624 $

Take profit at 0.1909 (0.47 %) and Stop Loss at 0.1894 (0.32 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -51.95 %

Symbol Start at Seach Score Trade Score Trades Count
NEIROCTO 2025-07-03 04:45:46 0.9161 -56.67 3
NEIROCTO 2025-05-13 19:00:56 0.9006 -35 2
HYPE 2025-06-11 05:57:27 0.9015 -100 5
BANANA 2025-05-29 00:48:15 0.901 40 1
ACT 2025-04-15 08:21:27 0.892 -100 1
BNB 2025-04-01 02:03:53 0.8874 -60 1

📌 Time Data

Start at Closed at Duration
03 Jul 2025
04:11:50		 03 Jul 2025
04:20:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.19 0.1894 0.1909 1.5 0.1831
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 0.19
  • Stop Loss: 0.1894
  • Take Profit: 0.1909

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1894 - 0.19 = -0.00059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.19 - 0.1909 = -0.00089999999999998

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00089999999999998 / -0.00059999999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2624 100 13810 26.24
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 0.19 = -2533.33

Donc, tu peux acheter -13333.33 avec un stoploss a 0.1894

Avec un position size USD de -2533.33$

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 -0.00089999999999998 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -13333.33
  • Taille de position USD -2533.33
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.47 % 12 $
SL % Target SL $ Target
0.32 % 8.3 $
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] => 0.1912
            [stop_loss] => 0.1894
            [rr_ratio] => 2
            [closed_at] => 2025-07-03 04:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1915
            [stop_loss] => 0.1894
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-03 04:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1918
            [stop_loss] => 0.1894
            [rr_ratio] => 3
            [closed_at] => 2025-07-03 04:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1921
            [stop_loss] => 0.1894
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-03 05:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1924
            [stop_loss] => 0.1894
            [rr_ratio] => 4
            [closed_at] => 2025-07-03 07:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1927
            [stop_loss] => 0.1894
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-03 07:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.193
            [stop_loss] => 0.1894
            [rr_ratio] => 5
            [closed_at] => 2025-07-03 07:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1933
            [stop_loss] => 0.1894
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-03 07:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1936
            [stop_loss] => 0.1894
            [rr_ratio] => 6
            [closed_at] => 2025-07-03 07:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1939
            [stop_loss] => 0.1894
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-03 07:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1942
            [stop_loss] => 0.1894
            [rr_ratio] => 7
            [closed_at] => 2025-07-03 07:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)