Trade

buy - PAXG

Status
win
2025-05-23 19:20:14
9 minutes
PNL
0.12
Entry: 3356.18
Last: 3360.00000000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.296
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.47
Prediction 3 Probability
n/a
ML Trade Score: 130
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.39
  4. atr: 1.486520434
Details
  1. score: 2.39
  2. 1H
  3. ema9 - 3360.07
  4. ema21 - 3349.66
  5. ema50 - 3333.32
  6. ema100 - 3313.89
  7. price_ema9_diff - -0.00115883
  8. ema9_ema21_diff - 0.00310781
  9. ema21_ema50_diff - 0.00490095
  10. price_ema100_diff - 0.0127601
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.580987
  14. kc_percentage - 0.644067
  15. kc_width_percentage - 0.0118379
  16. ¸
  17. 15m
  18. ema9 - 3361.35
  19. ema21 - 3362
  20. ema50 - 3356.66
  21. ema100 - 3345.38
  22. price_ema9_diff - -0.00153981
  23. ema9_ema21_diff - -0.000193259
  24. ema21_ema50_diff - 0.00159162
  25. price_ema100_diff - 0.00322562
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.414535
  29. kc_percentage - 0.102917
  30. kc_width_percentage - 0.00440863
  31. ¸
  32. 5m
  33. ema9 - 3359.51
  34. ema21 - 3361.35
  35. ema50 - 3362.54
  36. ema100 - 3362.64
  37. price_ema9_diff - -0.000992147
  38. ema9_ema21_diff - -0.000546956
  39. ema21_ema50_diff - -0.000354522
  40. price_ema100_diff - -0.00192187
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.318604
  44. kc_percentage - -0.394413
  45. kc_width_percentage - 0.00169355
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 108559
  50. 5m_price_ema100_diff: -0.0110494
  51. 5m_price: 107360
  52. 5m_correlation_with_coin: 0.212833
  53. btc_indicators
  54. 15m_ema100: 109579
  55. 15m_price_ema100_diff: -0.0202567
  56. 15m_price: 107360
  57. btc_indicators
  58. 1H_ema100: 108662
  59. 1H_price_ema100_diff: -0.0119829
  60. 1H_price: 107360
  61. ¸

Long Trade on PAXG

The 23 May 2025 at 19:20:14

With 3.5878 PAXG at 3356.18$ per unit.

Position size of 12041.292 $

Take profit at 3359.5247 (0.1 %) and Stop Loss at 3353.9502 (0.066 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -37.78 %

Symbol Start at Seach Score Trade Score Trades Count
XAUT 2025-05-23 19:17:40 0.9676 10 4
AIO 2025-08-20 22:12:35 0.955 -100 2
TANSSI 2025-08-06 01:09:48 0.9539 30 1
PAXG 2025-05-20 21:31:20 0.952 33.33 3
ARPA 2025-07-01 23:50:42 0.9511 -100 1
TON 2025-06-09 23:20:14 0.9491 -100 1

📌 Time Data

Start at Closed at Duration
23 May 2025
19:20:14
23 May 2025
19:30:00
9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3356.18 3353.9502 3359.5247 1.5 3360.77
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 3356.18
  • Stop Loss: 3353.9502
  • Take Profit: 3359.5247

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3353.9502 - 3356.18 = -2.2297999999996

  • Récompense (distance jusqu'au take profit):

    E - TP = 3356.18 - 3359.5247 = -3.3447000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -3.3447000000001 / -2.2297999999996 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
12041.292 100 3.5878 120.41
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 -2.2297999999996

Taille de position = 8 / -2.2297999999996 = -3.59

Taille de position USD = -3.59 x 3356.18 = -12048.69

Donc, tu peux acheter -3.59 avec un stoploss a 3353.9502

Avec un position size USD de -12048.69$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3.59 x -2.2297999999996 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3.59 x -3.3447000000001 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position -3.59
  • Taille de position USD -12048.69
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.1 % 12 $
SL % Target SL $ Target
0.066 % 8 $
PNL PNL %
14.35 $ 0.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3360
            [stop_loss] => 3354
            [rr_ratio] => 2
            [closed_at] => 2025-05-23 19:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3361
            [stop_loss] => 3354
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-23 19:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3362
            [stop_loss] => 3354
            [rr_ratio] => 3
            [closed_at] => 2025-05-23 19:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3363
            [stop_loss] => 3354
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-23 19:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3364
            [stop_loss] => 3354
            [rr_ratio] => 4
            [closed_at] => 2025-05-23 20:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3365
            [stop_loss] => 3354
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-23 20:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3366
            [stop_loss] => 3354
            [rr_ratio] => 5
            [closed_at] => 2025-05-23 20:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 3367
            [stop_loss] => 3354
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-23 20:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 3368
            [stop_loss] => 3354
            [rr_ratio] => 6
            [closed_at] => 2025-05-23 21:10:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 3369
            [stop_loss] => 3354
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-24 00:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 11.86
            [max_drawdown] => 0.069999999999709
            [rr_ratio] => 100
            [high] => 3368.04000000
            [low] => 3356.11000000
            [mfe_pct] => 0.35
            [mae_pct] => 0
            [mfe_mae_ratio] => 169.43
            [candles_analyzed] => 24
            [start_at] => 2025-05-23T19:20:14-04:00
            [end_at] => 2025-05-23T21:20:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 13.75
            [max_drawdown] => 0.069999999999709
            [rr_ratio] => 100
            [high] => 3369.93000000
            [low] => 3356.11000000
            [mfe_pct] => 0.41
            [mae_pct] => 0
            [mfe_mae_ratio] => 196.43
            [candles_analyzed] => 72
            [start_at] => 2025-05-23T19:20:14-04:00
            [end_at] => 2025-05-24T01:20:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3369.21000000
            [high_after] => 3369.93000000
            [low_before] => 3355.80000000
            [low_after] => 3356.11000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)