Trade

buy - SPX

Status
win
2025-07-27 13:17:03
22 minutes
PNL
1.98
Entry: 2.0402
Last: 2.08060000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.1125
Prediction 1 Probability
Weak Trade
0.92
Prediction 2 Probability
0 0.86
Prediction 3 Probability
0 0.81
ML Trade Score: 110
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.01794004416
Details
  1. score: 2.05
  2. 1H
  3. ema9 - 2.04032
  4. ema21 - 2.01577
  5. ema50 - 1.96894
  6. ema100 - 1.92909
  7. price_ema9_diff - -6.06356E-5
  8. ema9_ema21_diff - 0.012178
  9. ema21_ema50_diff - 0.0237848
  10. price_ema100_diff - 0.0575931
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.584205
  14. adx - 0.287054
  15. kc_percentage - 0.63321
  16. kc_width_percentage - 0.083283
  17. volume_ema_diff - 0.71255
  18. volume_ema1 - 1306255.5941943
  19. volume_ema2 - 762754.49905743
  20. ¸
  21. 15m
  22. ema9 - 2.07197
  23. ema21 - 2.06445
  24. ema50 - 2.0378
  25. ema100 - 2.01663
  26. price_ema9_diff - -0.0153368
  27. ema9_ema21_diff - 0.0036431
  28. ema21_ema50_diff - 0.0130766
  29. price_ema100_diff - 0.011684
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.462362
  33. adx - 0.321228
  34. kc_percentage - 0.29265
  35. kc_width_percentage - 0.0599124
  36. volume_ema_diff - 0.607422
  37. volume_ema1 - 426907.89468238
  38. volume_ema2 - 265585.35224282
  39. ¸
  40. 5m
  41. ema9 - 2.06675
  42. ema21 - 2.08038
  43. ema50 - 2.07336
  44. ema100 - 2.05105
  45. price_ema9_diff - -0.0128495
  46. ema9_ema21_diff - -0.00655234
  47. ema21_ema50_diff - 0.00338826
  48. price_ema100_diff - -0.0052901
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.347567
  52. adx - 0.303894
  53. kc_percentage - -0.0530235
  54. kc_width_percentage - 0.0353326
  55. volume_ema_diff - 0.205513
  56. volume_ema1 - 168234.1453947
  57. volume_ema2 - 139553.95934067
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 118446
  62. 5m_price_ema100_diff: 0.00465862
  63. 5m_price: 118998
  64. 5m_correlation_with_coin: 0.673185
  65. btc_indicators
  66. 15m_ema100: 118238
  67. 15m_price_ema100_diff: 0.00642689
  68. 15m_price: 118998
  69. btc_indicators
  70. 1H_ema100: 117828
  71. 1H_price_ema100_diff: 0.00993174
  72. 1H_price: 118998
  73. ¸

Long Trade on SPX

The 27 Jul 2025 at 13:17:03

With 297.2865 SPX at 2.0402$ per unit.

Position size of 606.524 $

Take profit at 2.0806 (1.98 %) and Stop Loss at 2.0133 (1.32 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -41.67 %

Symbol Start at Seach Score Trade Score Trades Count
ALCH 2025-04-22 11:12:37 0.9543 100 1
GRASS 2025-05-21 13:42:01 0.9401 30 3
GRASS 2025-08-09 07:53:37 0.9304 -100 1
HAEDAL 2025-07-16 17:17:15 0.9362 30 1
ARKM 2025-08-13 21:28:12 0.9358 -100 1
OG 2025-08-05 12:09:01 0.9323 -35 2
TURBO 2025-05-06 06:44:08 0.9327 -100 1
BROCCOLIF3B 2025-05-14 06:13:00 0.9318 -100 1
MASK 2025-06-06 12:18:41 0.9295 -100 2

📌 Time Data

Start at Closed at Duration
27 Jul 2025
13:17:03
27 Jul 2025
13:40:00
22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.0402 2.0133 2.0806 1.5 1.3413
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 2.0402
  • Stop Loss: 2.0133
  • Take Profit: 2.0806

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.0133 - 2.0402 = -0.0269

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.0402 - 2.0806 = -0.0404

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0404 / -0.0269 = 1.5019

📌 Position Size

Amount Margin Quantity Leverage
606.524 100 297.2865 6.07
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 -0.0269

Taille de position = 8 / -0.0269 = -297.4

Taille de position USD = -297.4 x 2.0402 = -606.76

Donc, tu peux acheter -297.4 avec un stoploss a 2.0133

Avec un position size USD de -606.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -297.4 x -0.0269 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -297.4 x -0.0404 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position -297.4
  • Taille de position USD -606.76
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5019

📌 Peformances

TP % Target TP $ Target
1.98 % 12.01 $
SL % Target SL $ Target
1.32 % 8 $
PNL PNL %
12.01 $ 1.98
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.098 % 7.43 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.094
            [stop_loss] => 2.0133
            [rr_ratio] => 2
            [closed_at] => 2025-07-27 13:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.10745
            [stop_loss] => 2.0133
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-27 14:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.1209
            [stop_loss] => 2.0133
            [rr_ratio] => 3
            [closed_at] => 2025-07-27 14:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.13435
            [stop_loss] => 2.0133
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-27 16:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.1478
            [stop_loss] => 2.0133
            [rr_ratio] => 4
            [closed_at] => 2025-07-27 16:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.16125
            [stop_loss] => 2.0133
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-27 18:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.1747
            [stop_loss] => 2.0133
            [rr_ratio] => 5
            [closed_at] => 2025-07-27 18:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.18815
            [stop_loss] => 2.0133
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-27 18:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0905
            [max_drawdown] => 0.0020000000000002
            [rr_ratio] => 45.25
            [high] => 2.13070000
            [low] => 2.03820000
            [mfe_pct] => 4.44
            [mae_pct] => 0.1
            [mfe_mae_ratio] => 45.25
            [candles_analyzed] => 24
            [start_at] => 2025-07-27T13:17:03-04:00
            [end_at] => 2025-07-27T15:17:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1571
            [max_drawdown] => 0.0020000000000002
            [rr_ratio] => 78.55
            [high] => 2.19730000
            [low] => 2.03820000
            [mfe_pct] => 7.7
            [mae_pct] => 0.1
            [mfe_mae_ratio] => 78.55
            [candles_analyzed] => 84
            [start_at] => 2025-07-27T13:17:03-04:00
            [end_at] => 2025-07-27T20:17:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.14970000
            [high_after] => 2.19730000
            [low_before] => 2.03650000
            [low_after] => 2.03820000
            [is_new_high] => 1
            [is_new_low] => 
        )

)