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Trade

buy - FXS

Status
win
2025-08-08 05:28:56
21 minutes
PNL
1.02
Entry: 2.838
Last: 2.86690000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.5455
Prediction 1 Probability
Weak Trade
0.72
Prediction 2 Probability
0 0.57
Prediction 3 Probability
1 0.55
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: 0.03
  4. atr: 0.01285931766
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 2.87121
  4. ema21 - 2.83637
  5. ema50 - 2.76658
  6. ema100 - 2.76373
  7. price_ema9_diff - -0.0115696
  8. ema9_ema21_diff - 0.0122837
  9. ema21_ema50_diff - 0.0252269
  10. price_ema100_diff - 0.0268726
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.528379
  14. adx - 0.329931
  15. kc_percentage - 0.491035
  16. kc_width_percentage - 0.0840888
  17. volume_ema_diff - -0.141218
  18. volume_ema1 - 290179.57667287
  19. volume_ema2 - 337896.90842544
    20. ¸
  20. 15m
  21. ema9 - 2.86713
  22. ema21 - 2.87525
  23. ema50 - 2.86611
  24. ema100 - 2.81307
  25. price_ema9_diff - -0.0101615
  26. ema9_ema21_diff - -0.00282276
  27. ema21_ema50_diff - 0.00318791
  28. price_ema100_diff - 0.00886168
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.427259
  32. adx - 0.199933
  33. kc_percentage - 0.1475
  34. kc_width_percentage - 0.0367275
  35. volume_ema_diff - -0.57891
  36. volume_ema1 - 42751.916885836
  37. volume_ema2 - 101526.87554792
    38. ¸
  38. 5m
  39. ema9 - 2.85708
  40. ema21 - 2.86487
  41. ema50 - 2.87314
  42. ema100 - 2.89065
  43. price_ema9_diff - -0.00667945
  44. ema9_ema21_diff - -0.00271844
  45. ema21_ema50_diff - -0.00288013
  46. price_ema100_diff - -0.0182149
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.354773
  50. adx - 0.206601
  51. kc_percentage - -0.0250402
  52. kc_width_percentage - 0.0178586
  53. volume_ema_diff - -0.223261
  54. volume_ema1 - 20337.162868283
  55. volume_ema2 - 26182.754378823
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 116716
  59. 5m_price_ema100_diff: -0.00218103
  60. 5m_price: 116462
  61. 5m_correlation_with_coin: 0.324314
  62. btc_indicators
  63. 15m_ema100: 116486
  64. 15m_price_ema100_diff: 0.000415504
  65. 15m_price: 116534
  66. btc_indicators
  67. 1H_ema100: 115309
  68. 1H_price_ema100_diff: 0.00999895
  69. 1H_price: 116462
    70. ¸

Long Trade on FXS

The 08 Aug 2025 at 05:28:56

With 414.7447 FXS at 2.838$ per unit.

Position size of 1177.0453 $

Take profit at 2.8669 (1.02 %) and Stop Loss at 2.8187 (0.68 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -42.73 %

Symbol Start at Seach Score Trade Score Trades Count
SPX 2025-06-03 04:20:14 0.9376 -100 2
INJ 2025-07-03 11:10:23 0.9382 -100 1
INJ 2025-06-03 04:15:45 0.9049 -100 1
CHESS 2025-06-27 01:43:16 0.9315 50 1
LTC 2025-04-09 23:16:54 0.9203 -80 2
ZK 2025-06-30 03:05:33 0.9165 50 1
SANTOS 2025-08-10 15:02:33 0.9125 30 1
AVAX 2025-04-19 23:30:33 0.9094 -70 1
UNI 2025-05-21 09:16:22 0.9085 50 2
SHIB 2025-06-03 04:14:50 0.9061 -100 1
ARB 2025-04-09 23:12:28 0.9042 -100 1

📌 Time Data

Start at Closed at Duration
08 Aug 2025
05:28:56		 08 Aug 2025
05:50:00		 21 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.838 2.8187 2.8669 1.5 2.66
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 2.838
  • Stop Loss: 2.8187
  • Take Profit: 2.8669

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.8187 - 2.838 = -0.0193

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.838 - 2.8669 = -0.0289

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0289 / -0.0193 = 1.4974

📌 Position Size

Amount Margin Quantity Leverage
1177.0453 100 414.7447 11.77
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 -0.0193

Taille de position = 8 / -0.0193 = -414.51

Taille de position USD = -414.51 x 2.838 = -1176.38

Donc, tu peux acheter -414.51 avec un stoploss a 2.8187

Avec un position size USD de -1176.38$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -414.51 x -0.0193 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -414.51 x -0.0289 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

  • Taille de position -414.51
  • Taille de position USD -1176.38
  • Perte potentielle 8
  • Gain potentiel 11.98
  • Risk-Reward Ratio 1.4974

📌 Peformances

TP % Target TP $ Target
1.02 % 11.99 $
SL % Target SL $ Target
0.68 % 8 $
PNL PNL %
11.99 $ 1.02
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.8766
            [stop_loss] => 2.8187
            [rr_ratio] => 2
            [closed_at] => 2025-08-08 07:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.88625
            [stop_loss] => 2.8187
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-08 09:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.8959
            [stop_loss] => 2.8187
            [rr_ratio] => 3
            [closed_at] => 2025-08-08 09:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.90555
            [stop_loss] => 2.8187
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-08 09:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.9152
            [stop_loss] => 2.8187
            [rr_ratio] => 4
            [closed_at] => 2025-08-08 09:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.92485
            [stop_loss] => 2.8187
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-08 10:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.9345
            [stop_loss] => 2.8187
            [rr_ratio] => 5
            [closed_at] => 2025-08-08 10:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.94415
            [stop_loss] => 2.8187
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-08 10:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.03
            [max_drawdown] => 0.0060000000000002
            [rr_ratio] => 5
            [high] => 2.86800000
            [low] => 2.83200000
            [mfe_pct] => 1.06
            [mae_pct] => 0.21
            [mfe_mae_ratio] => 5
            [candles_analyzed] => 24
            [start_at] => 2025-08-08T05:28:56-04:00
            [end_at] => 2025-08-08T07:28:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.108
            [max_drawdown] => 0.01
            [rr_ratio] => 10.8
            [high] => 2.94600000
            [low] => 2.82800000
            [mfe_pct] => 3.81
            [mae_pct] => 0.35
            [mfe_mae_ratio] => 10.8
            [candles_analyzed] => 84
            [start_at] => 2025-08-08T05:28:56-04:00
            [end_at] => 2025-08-08T12:28:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.90800000
            [high_after] => 2.94600000
            [low_before] => 2.82500000
            [low_after] => 2.83200000
            [is_new_high] => 1
            [is_new_low] => 
        )

)