Trade

buy - RENDER

Status
win
2025-05-26 07:01:38
1 hour
PNL
0.74
Entry: 4.857
Last: 4.89300000

Results

Status:
win
Trade Type:
buy
Prediction Score: -4.4836
Prediction 1 Accuracy
Weak Trade
0.53
Prediction 2 Accuracy
2 0.4
ML Trade Score: 60

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.01618955337
Details
  1. score: 2
  2. 1H
  3. ema9 - 4.87088
  4. ema21 - 4.80065
  5. ema50 - 4.77002
  6. ema100 - 4.81903
  7. price_ema9_diff - -0.00285122
  8. ema9_ema21_diff - 0.0146296
  9. ema21_ema50_diff - 0.00642123
  10. price_ema100_diff - 0.00787825
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.597657
  14. kc_percentage - 0.70523
  15. kc_width_percentage - 0.0522085
  16. ¸
  17. 15m
  18. ema9 - 4.89274
  19. ema21 - 4.89748
  20. ema50 - 4.84742
  21. ema100 - 4.76409
  22. price_ema9_diff - -0.00730503
  23. ema9_ema21_diff - -0.000968429
  24. ema21_ema50_diff - 0.010327
  25. price_ema100_diff - 0.0195009
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.422806
  29. kc_percentage - 0.148735
  30. kc_width_percentage - 0.0241227
  31. ¸
  32. 5m
  33. ema9 - 4.87592
  34. ema21 - 4.89026
  35. ema50 - 4.90128
  36. ema100 - 4.89535
  37. price_ema9_diff - -0.00388102
  38. ema9_ema21_diff - -0.00293269
  39. ema21_ema50_diff - -0.00224799
  40. price_ema100_diff - -0.00783413
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.36263
  44. kc_percentage - -0.00144203
  45. kc_width_percentage - 0.0133028
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 109636
  50. 5m_price_ema100_diff: -0.00102077
  51. 5m_price: 109524
  52. 5m_correlation_with_coin: 0.714829
  53. btc_indicators
  54. 15m_ema100: 108724
  55. 15m_price_ema100_diff: 0.00735209
  56. 15m_price: 109524
  57. btc_indicators
  58. 1H_ema100: 108975
  59. 1H_price_ema100_diff: 0.00503905
  60. 1H_price: 109524
  61. ¸

Long Trade on RENDER

The 26 May 2025 at 07:01:38

With 329.4 RENDER at 4.857$ per unit.

Position size of 1600 $

Take profit at 4.893 (0.74 %) and Stop Loss at 4.833 (0.49 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -15.42 %

Symbol Start at Seach Score Trade Score Trades Count
INJ 2025-05-26 07:03:44 0.9833 55 2
IO 2025-05-26 06:55:47 0.9831 30 1
ONDO 2025-05-26 06:55:35 0.9803 30 1
AI16Z 2025-05-26 07:37:46 0.98 -100 1
LISTA 2025-06-03 00:12:32 0.9789 50 1
ARC 2025-07-02 23:57:18 0.9776 50 2
LINK 2025-05-26 06:54:20 0.978 -100 1
APE 2025-06-24 06:59:32 0.9775 -100 1
NOT 2025-07-03 00:19:04 0.9772 70 1
PEOPLE 2025-07-10 04:04:25 0.9771 30 1
CARV 2025-07-05 08:41:55 0.9768 -100 1
WLD 2025-06-07 11:14:56 0.9767 -100 1

📌 Time Data

Start at Closed at Duration
26 May 2025
07:01:38
26 May 2025
08:50:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.857 4.833 4.893 1.5 4.274
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 4.857
  • Stop Loss: 4.833
  • Take Profit: 4.893

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.833 - 4.857 = -0.024

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.857 - 4.893 = -0.036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.036 / -0.024 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1600 100 329.4 16.00
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 -0.024

Taille de position = 8 / -0.024 = -333.33

Taille de position USD = -333.33 x 4.857 = -1618.98

Donc, tu peux acheter -333.33 avec un stoploss a 4.833

Avec un position size USD de -1618.98$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -333.33 x -0.024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -333.33 x -0.036 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -333.33
  • Taille de position USD -1618.98
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.74 % 12 $
SL % Target SL $ Target
0.49 % 7.9 $
PNL PNL %
12 $ 0.74
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.41177681696521 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 4.905
            [stop_loss] => 4.833
            [rr_ratio] => 2
            [closed_at] => 2025-05-26 08:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 4.917
            [stop_loss] => 4.833
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-26 09:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 4.929
            [stop_loss] => 4.833
            [rr_ratio] => 3
            [closed_at] => 2025-05-26 09:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 4.941
            [stop_loss] => 4.833
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 4.953
            [stop_loss] => 4.833
            [rr_ratio] => 4
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 4.965
            [stop_loss] => 4.833
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 4.977
            [stop_loss] => 4.833
            [rr_ratio] => 5
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 4.989
            [stop_loss] => 4.833
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 5.001
            [stop_loss] => 4.833
            [rr_ratio] => 6
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 5.013
            [stop_loss] => 4.833
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 5.025
            [stop_loss] => 4.833
            [rr_ratio] => 7
            [closed_at] => 2025-05-26 09:50:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)