Trade

buy - FXS

Status
win
2025-08-07 13:40:27
19 minutes
PNL
1.42
Entry: 2.725
Last: 2.76370000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.35
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
0 0.67
Prediction 3 Probability
0 0.72
ML Trade Score: 110
ML Pullback Score: 8

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.01721929124
Details
  1. score: 2.18
  2. 1H
  3. ema9 - 2.74838
  4. ema21 - 2.68832
  5. ema50 - 2.66718
  6. ema100 - 2.71186
  7. price_ema9_diff - -0.00850708
  8. ema9_ema21_diff - 0.0223394
  9. ema21_ema50_diff - 0.00792581
  10. price_ema100_diff - 0.00484317
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.574438
  14. adx - 0.390973
  15. kc_percentage - 0.625888
  16. kc_width_percentage - 0.0969673
  17. volume_ema_diff - 1.28438
  18. volume_ema1 - 641466.58480506
  19. volume_ema2 - 280805.54328925
  20. ¸
  21. 15m
  22. ema9 - 2.77527
  23. ema21 - 2.77857
  24. ema50 - 2.72532
  25. ema100 - 2.66673
  26. price_ema9_diff - -0.0181137
  27. ema9_ema21_diff - -0.00118901
  28. ema21_ema50_diff - 0.0195371
  29. price_ema100_diff - 0.0218485
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.424282
  33. adx - 0.396963
  34. kc_percentage - 0.0908569
  35. kc_width_percentage - 0.0491695
  36. volume_ema_diff - 0.187465
  37. volume_ema1 - 165206.85427097
  38. volume_ema2 - 139125.54711608
  39. ¸
  40. 5m
  41. ema9 - 2.74376
  42. ema21 - 2.77084
  43. ema50 - 2.78433
  44. ema100 - 2.75179
  45. price_ema9_diff - -0.00684093
  46. ema9_ema21_diff - -0.00977177
  47. ema21_ema50_diff - -0.00484321
  48. price_ema100_diff - -0.00973823
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.275539
  52. adx - 0.377685
  53. kc_percentage - -0.180594
  54. kc_width_percentage - 0.0238792
  55. volume_ema_diff - -0.699274
  56. volume_ema1 - 18750.043224133
  57. volume_ema2 - 62349.44228644
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 116150
  62. 5m_price_ema100_diff: 0.000916053
  63. 5m_price: 116257
  64. 5m_correlation_with_coin: 0.100541
  65. btc_indicators
  66. 15m_ema100: 115569
  67. 15m_price_ema100_diff: 0.00663192
  68. 15m_price: 116336
  69. btc_indicators
  70. 1H_ema100: 114627
  71. 1H_price_ema100_diff: 0.0142157
  72. 1H_price: 116257
  73. ¸

Long Trade on FXS

The 07 Aug 2025 at 13:40:27

With 309.7301 FXS at 2.725$ per unit.

Position size of 844.0146 $

Take profit at 2.7637 (1.42 %) and Stop Loss at 2.6992 (0.95 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -61 %

Symbol Start at Seach Score Trade Score Trades Count
AVAAI 2025-08-10 20:46:39 0.9795 -100 3
API3 2025-08-19 11:21:14 0.9795 -100 1
DOGE 2025-04-09 20:49:56 0.9748 -100 2
SAFE 2025-05-08 04:14:54 0.9749 -100 1
LINK 2025-04-09 20:50:10 0.9746 30 1
COW 2025-05-29 04:08:32 0.974 30 1
TRUMP 2025-04-23 19:53:54 0.9721 -100 1
ADA 2025-04-09 20:50:08 0.9719 30 1
PNUT 2025-06-20 10:53:43 0.9717 -100 1
MLN 2025-08-12 21:07:50 0.9715 -100 1

📌 Time Data

Start at Closed at Duration
07 Aug 2025
13:40:27
07 Aug 2025
14:00:00
19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.725 2.6992 2.7637 1.5 2.834
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 2.725
  • Stop Loss: 2.6992
  • Take Profit: 2.7637

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6992 - 2.725 = -0.0258

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.725 - 2.7637 = -0.0387

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0387 / -0.0258 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
844.0146 100 309.7301 8.44
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 -0.0258

Taille de position = 8 / -0.0258 = -310.08

Taille de position USD = -310.08 x 2.725 = -844.97

Donc, tu peux acheter -310.08 avec un stoploss a 2.6992

Avec un position size USD de -844.97$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -310.08 x -0.0258 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -310.08 x -0.0387 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -310.08
  • Taille de position USD -844.97
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.42 % 11.99 $
SL % Target SL $ Target
0.95 % 7.99 $
PNL PNL %
11.99 $ 1.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.7766
            [stop_loss] => 2.6992
            [rr_ratio] => 2
            [closed_at] => 2025-08-07 14:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.7895
            [stop_loss] => 2.6992
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-07 14:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.8024
            [stop_loss] => 2.6992
            [rr_ratio] => 3
            [closed_at] => 2025-08-07 16:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.8153
            [stop_loss] => 2.6992
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-07 16:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.8282
            [stop_loss] => 2.6992
            [rr_ratio] => 4
            [closed_at] => 2025-08-07 18:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.8411
            [stop_loss] => 2.6992
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-07 18:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.854
            [stop_loss] => 2.6992
            [rr_ratio] => 5
            [closed_at] => 2025-08-07 19:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.8669
            [stop_loss] => 2.6992
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-07 19:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.071
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.79600000
            [low] => 2.72700000
            [mfe_pct] => 2.61
            [mae_pct] => -0.07
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-07T13:40:27-04:00
            [end_at] => 2025-08-07T15:40:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.255
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.98000000
            [low] => 2.72700000
            [mfe_pct] => 9.36
            [mae_pct] => -0.07
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-08-07T13:40:27-04:00
            [end_at] => 2025-08-07T20:40:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.86800000
            [high_after] => 2.87300000
            [low_before] => 2.71700000
            [low_after] => 2.72700000
            [is_new_high] => 1
            [is_new_low] => 
        )

)