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Trade

sell - FXS

Status
win
2025-07-31 23:23:20
36 minutes
PNL
0.95
Entry: 3.051
Last: 3.02190000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.305
Prediction 1 Probability
Weak Trade
0.96
Prediction 2 Probability
0 0.72
Prediction 3 Probability
0 0.7
ML Trade Score: 110
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.01291701559
Details
  1. score: 1.01
  2. 1H
  3. ema9 - 3.04805
  4. ema21 - 3.08561
  5. ema50 - 3.13023
  6. ema100 - 3.21081
  7. price_ema9_diff - 0.000966334
  8. ema9_ema21_diff - -0.0121716
  9. ema21_ema50_diff - -0.0142556
  10. price_ema100_diff - -0.0497749
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.438977
  14. adx - 0.209559
  15. kc_percentage - 0.358813
  16. kc_width_percentage - 0.0753236
  17. volume_ema_diff - -0.402953
  18. volume_ema1 - 185484.77840925
  19. volume_ema2 - 310670.44891121
    20. ¸
  20. 15m
  21. ema9 - 3.02441
  22. ema21 - 3.0253
  23. ema50 - 3.06095
  24. ema100 - 3.10232
  25. price_ema9_diff - 0.00878968
  26. ema9_ema21_diff - -0.000293193
  27. ema21_ema50_diff - -0.0116468
  28. price_ema100_diff - -0.0165438
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.516137
  32. adx - 0.198112
  33. kc_percentage - 0.746027
  34. kc_width_percentage - 0.0354006
  35. volume_ema_diff - -0.797899
  36. volume_ema1 - 15216.765437774
  37. volume_ema2 - 75292.992796997
    38. ¸
  38. 5m
  39. ema9 - 3.03353
  40. ema21 - 3.02598
  41. ema50 - 3.02046
  42. ema100 - 3.03424
  43. price_ema9_diff - 0.00575648
  44. ema9_ema21_diff - 0.0024958
  45. ema21_ema50_diff - 0.0018265
  46. price_ema100_diff - 0.00552335
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.654451
  50. adx - 0.213596
  51. kc_percentage - 1.01427
  52. kc_width_percentage - 0.0155958
  53. volume_ema_diff - -0.727524
  54. volume_ema1 - 4595.0317008946
  55. volume_ema2 - 16864.020140961
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 116023
  59. 5m_price_ema100_diff: -0.000553347
  60. 5m_price: 115959
  61. 5m_correlation_with_coin: 0.648579
  62. btc_indicators
  63. 15m_ema100: 117134
  64. 15m_price_ema100_diff: -0.0110485
  65. 15m_price: 115840
  66. btc_indicators
  67. 1H_ema100: 117909
  68. 1H_price_ema100_diff: -0.0165432
  69. 1H_price: 115959
    70. ¸

Short Trade on FXS

The 31 Jul 2025 at 23:23:20

With 412.8921 FXS at 3.051$ per unit.

Position size of 1259.7337 $

Take profit at 3.0219 (0.95 %) and Stop Loss at 3.0704 (0.64 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -30.5 %

Symbol Start at Seach Score Trade Score Trades Count
REZ 2025-05-31 01:43:36 0.9551 35 2
ADA 2025-06-01 10:34:01 0.9521 -100 4
POPCAT 2025-05-31 02:21:18 0.952 -100 1
GTC 2025-08-25 21:16:12 0.9512 -100 1
ETHFI 2025-05-31 01:11:15 0.9507 -100 1
JTO 2025-07-04 16:26:09 0.9506 30 1
VIRTUAL 2025-05-31 01:41:47 0.95 -100 1
VANRY 2025-05-31 01:38:41 0.9487 30 1
DOT 2025-04-05 15:01:38 0.9485 60 1
EIGEN 2025-05-31 01:06:14 0.9484 40 1

📌 Time Data

Start at Closed at Duration
31 Jul 2025
23:23:20		 01 Aug 2025
00:00:00		 36 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.051 3.0704 3.0219 1.5 2.643
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 3.051
  • Stop Loss: 3.0704
  • Take Profit: 3.0219

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.0704 - 3.051 = 0.0194

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.051 - 3.0219 = 0.0291

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0291 / 0.0194 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1259.7337 100 412.8921 12.60
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 0.0194

Taille de position = 8 / 0.0194 = 412.37

Taille de position USD = 412.37 x 3.051 = 1258.14

Donc, tu peux acheter 412.37 avec un stoploss a 3.0704

Avec un position size USD de 1258.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 412.37 x 0.0194 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 412.37 x 0.0291 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 412.37
  • Taille de position USD 1258.14
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.95 % 12.02 $
SL % Target SL $ Target
0.64 % 8.01 $
PNL PNL %
12.02 $ 0.95
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1311 % 20.62 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.0122
            [stop_loss] => 3.0704
            [rr_ratio] => 2
            [closed_at] => 2025-08-01 00:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.0025
            [stop_loss] => 3.0704
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-01 01:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.9928
            [stop_loss] => 3.0704
            [rr_ratio] => 3
            [closed_at] => 2025-08-01 01:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.9831
            [stop_loss] => 3.0704
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-01 02:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.9734
            [stop_loss] => 3.0704
            [rr_ratio] => 4
            [closed_at] => 2025-08-01 03:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.9637
            [stop_loss] => 3.0704
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-01 03:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.954
            [stop_loss] => 3.0704
            [rr_ratio] => 5
            [closed_at] => 2025-08-01 04:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.9443
            [stop_loss] => 3.0704
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-01 04:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.05
            [max_drawdown] => 0.004
            [rr_ratio] => 12.5
            [high] => 3.05500000
            [low] => 3.00100000
            [mfe_pct] => 1.64
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 12.5
            [candles_analyzed] => 24
            [start_at] => 2025-07-31T23:23:20-04:00
            [end_at] => 2025-08-01T01:23:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.107
            [max_drawdown] => 0.004
            [rr_ratio] => 26.75
            [high] => 3.05500000
            [low] => 2.94400000
            [mfe_pct] => 3.51
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 26.75
            [candles_analyzed] => 84
            [start_at] => 2025-07-31T23:23:20-04:00
            [end_at] => 2025-08-01T06:23:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.05800000
            [high_after] => 3.05500000
            [low_before] => 2.93800000
            [low_after] => 2.94400000
            [is_new_high] => 
            [is_new_low] => 
        )

)