Trade

buy - RENDER

Status
win
2025-08-04 15:37:51
27 minutes
PNL
0.66
Entry: 3.623
Last: 3.64700000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.3417
Prediction 1 Probability
Strong Trade
0.75
Prediction 2 Probability
0 0.44
Prediction 3 Probability
1 0.53
ML Trade Score: 120
ML Pullback Score: 8

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.01066516096
Details
  1. score: 2.2
  2. 1H
  3. ema9 - 3.63294
  4. ema21 - 3.60781
  5. ema50 - 3.58075
  6. ema100 - 3.61481
  7. price_ema9_diff - -0.00273654
  8. ema9_ema21_diff - 0.0069645
  9. ema21_ema50_diff - 0.00755699
  10. price_ema100_diff - 0.0022639
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.544283
  14. adx - 0.27992
  15. kc_percentage - 0.574634
  16. kc_width_percentage - 0.0492061
  17. volume_ema_diff - -0.019808
  18. volume_ema1 - 393966.76839099
  19. volume_ema2 - 401928.19946263
  20. ¸
  21. 15m
  22. ema9 - 3.65263
  23. ema21 - 3.64846
  24. ema50 - 3.62752
  25. ema100 - 3.60909
  26. price_ema9_diff - -0.0081135
  27. ema9_ema21_diff - 0.00114268
  28. ema21_ema50_diff - 0.00577233
  29. price_ema100_diff - 0.00385256
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.477333
  33. adx - 0.183592
  34. kc_percentage - 0.193864
  35. kc_width_percentage - 0.0237202
  36. volume_ema_diff - -0.555434
  37. volume_ema1 - 50447.817354759
  38. volume_ema2 - 113476.72585751
  39. ¸
  40. 5m
  41. ema9 - 3.64155
  42. ema21 - 3.65241
  43. ema50 - 3.65186
  44. ema100 - 3.63165
  45. price_ema9_diff - -0.00509621
  46. ema9_ema21_diff - -0.00297145
  47. ema21_ema50_diff - 0.000149519
  48. price_ema100_diff - -0.00238375
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.3142
  52. adx - 0.200968
  53. kc_percentage - -0.200851
  54. kc_width_percentage - 0.011371
  55. volume_ema_diff - -0.237091
  56. volume_ema1 - 27547.693215471
  57. volume_ema2 - 36108.763477772
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 114864
  62. 5m_price_ema100_diff: -0.00112997
  63. 5m_price: 114734
  64. 5m_correlation_with_coin: 0.738281
  65. btc_indicators
  66. 15m_ema100: 114631
  67. 15m_price_ema100_diff: 0.00110333
  68. 15m_price: 114758
  69. btc_indicators
  70. 1H_ema100: 114790
  71. 1H_price_ema100_diff: -0.000483922
  72. 1H_price: 114734
  73. ¸

Long Trade on RENDER

The 04 Aug 2025 at 15:37:51

With 500.0706 RENDER at 3.623$ per unit.

Position size of 1811.7557 $

Take profit at 3.647 (0.66 %) and Stop Loss at 3.607 (0.44 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -2.14 %

Symbol Start at Seach Score Trade Score Trades Count
MOVE 2025-08-04 15:32:59 0.952 -35 2
JUP 2025-08-04 15:31:20 0.9487 -35 2
SUI 2025-08-04 15:40:33 0.9488 40 2
GRIFFAIN 2025-08-04 15:33:17 0.9377 30 2
EIGEN 2025-08-04 15:32:24 0.9395 35 2
STX 2025-08-04 15:40:11 0.9337 50 2
RVN 2025-06-16 16:58:48 0.9189 -100 1

📌 Time Data

Start at Closed at Duration
04 Aug 2025
15:37:51
04 Aug 2025
16:05:00
27 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.623 3.607 3.647 1.5 3.852
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 3.623
  • Stop Loss: 3.607
  • Take Profit: 3.647

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.607 - 3.623 = -0.016

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.623 - 3.647 = -0.024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.024 / -0.016 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1811.7557 100 500.0706 18.12
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 -0.016

Taille de position = 8 / -0.016 = -500

Taille de position USD = -500 x 3.623 = -1811.5

Donc, tu peux acheter -500 avec un stoploss a 3.607

Avec un position size USD de -1811.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -500 x -0.016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -500 x -0.024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -500
  • Taille de position USD -1811.5
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.66 % 12 $
SL % Target SL $ Target
0.44 % 8 $
PNL PNL %
12 $ 0.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0828 % 18.75 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.655
            [stop_loss] => 3.607
            [rr_ratio] => 2
            [closed_at] => 2025-08-04 16:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.663
            [stop_loss] => 3.607
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-04 16:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.671
            [stop_loss] => 3.607
            [rr_ratio] => 3
            [closed_at] => 2025-08-04 16:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.679
            [stop_loss] => 3.607
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-04 16:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.687
            [stop_loss] => 3.607
            [rr_ratio] => 4
            [closed_at] => 2025-08-04 17:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3.695
            [stop_loss] => 3.607
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-04 17:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3.703
            [stop_loss] => 3.607
            [rr_ratio] => 5
            [closed_at] => 2025-08-04 17:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 3.711
            [stop_loss] => 3.607
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-04 18:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 3.719
            [stop_loss] => 3.607
            [rr_ratio] => 6
            [closed_at] => 2025-08-04 20:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.078
            [max_drawdown] => 0.0030000000000001
            [rr_ratio] => 26
            [high] => 3.70100000
            [low] => 3.62000000
            [mfe_pct] => 2.15
            [mae_pct] => 0.08
            [mfe_mae_ratio] => 26
            [candles_analyzed] => 24
            [start_at] => 2025-08-04T15:37:51-04:00
            [end_at] => 2025-08-04T17:37:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.097
            [max_drawdown] => 0.0030000000000001
            [rr_ratio] => 32.33
            [high] => 3.72000000
            [low] => 3.62000000
            [mfe_pct] => 2.68
            [mae_pct] => 0.08
            [mfe_mae_ratio] => 32.33
            [candles_analyzed] => 84
            [start_at] => 2025-08-04T15:37:51-04:00
            [end_at] => 2025-08-04T22:37:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.72200000
            [high_after] => 3.72000000
            [low_before] => 3.60500000
            [low_after] => 3.62000000
            [is_new_high] => 
            [is_new_low] => 
        )

)