Trade

buy - FXS

Status
win
2025-08-13 02:17:29
1 hour
PNL
0.90
Entry: 3.164
Last: 3.19240000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.9
Prediction 1 Probability
Weak Trade
0.65
Prediction 2 Probability
0 0.58
Prediction 3 Probability
0 0.61
ML Trade Score: 110
ML Pullback Score: 7.57

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.01264057434
Details
  1. score: 2.02
  2. 1H
  3. ema9 - 3.187
  4. ema21 - 3.16204
  5. ema50 - 3.13369
  6. ema100 - 3.13989
  7. price_ema9_diff - -0.00721974
  8. ema9_ema21_diff - 0.00789518
  9. ema21_ema50_diff - 0.00904792
  10. price_ema100_diff - 0.00767696
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.517833
  14. adx - 0.250473
  15. kc_percentage - 0.499588
  16. kc_width_percentage - 0.0646871
  17. volume_ema_diff - -0.189095
  18. volume_ema1 - 180641.71154276
  19. volume_ema2 - 222765.81958028
  20. ¸
  21. 15m
  22. ema9 - 3.18785
  23. ema21 - 3.19043
  24. ema50 - 3.17649
  25. ema100 - 3.14391
  26. price_ema9_diff - -0.00748351
  27. ema9_ema21_diff - -0.000808613
  28. ema21_ema50_diff - 0.00438792
  29. price_ema100_diff - 0.00638813
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.439248
  33. adx - 0.221063
  34. kc_percentage - 0.236599
  35. kc_width_percentage - 0.0318906
  36. volume_ema_diff - -0.238805
  37. volume_ema1 - 42016.537937523
  38. volume_ema2 - 55198.186545456
  39. ¸
  40. 5m
  41. ema9 - 3.17668
  42. ema21 - 3.19027
  43. ema50 - 3.19375
  44. ema100 - 3.1921
  45. price_ema9_diff - -0.0039936
  46. ema9_ema21_diff - -0.0042583
  47. ema21_ema50_diff - -0.00109191
  48. price_ema100_diff - -0.00880351
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.366776
  52. adx - 0.232405
  53. kc_percentage - -0.0246181
  54. kc_width_percentage - 0.0154602
  55. volume_ema_diff - -0.225446
  56. volume_ema1 - 15355.844418682
  57. volume_ema2 - 19825.424385582
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 119502
  62. 5m_price_ema100_diff: -0.0032312
  63. 5m_price: 119116
  64. 5m_correlation_with_coin: 0.370711
  65. btc_indicators
  66. 15m_ema100: 119293
  67. 15m_price_ema100_diff: -0.00148715
  68. 15m_price: 119116
  69. btc_indicators
  70. 1H_ema100: 118770
  71. 1H_price_ema100_diff: 0.00290966
  72. 1H_price: 119116
  73. ¸

Long Trade on FXS

The 13 Aug 2025 at 02:17:29

With 421.9218 FXS at 3.164$ per unit.

Position size of 1334.9604 $

Take profit at 3.1924 (0.9 %) and Stop Loss at 3.145 (0.6 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -45.5 %

Symbol Start at Seach Score Trade Score Trades Count
APE 2025-08-13 02:12:34 0.898 -100 2
STRK 2025-08-13 02:14:18 0.8883 -100 2
INJ 2025-08-13 01:55:02 0.8889 -100 1
ICP 2025-08-13 02:02:01 0.8875 30 1
TURBO 2025-08-13 01:50:35 0.8866 -100 2
ORDI 2025-08-13 01:55:45 0.8867 -100 1
NEAR 2025-08-13 02:03:22 0.8854 40 1
PEPE 2025-08-13 02:17:52 0.8853 -100 1
AVAX 2025-08-13 01:57:53 0.8834 45 2
FIL 2025-08-13 02:02:19 0.8825 30 1

📌 Time Data

Start at Closed at Duration
13 Aug 2025
02:17:29
13 Aug 2025
03:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.164 3.145 3.1924 1.49 2.869
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 3.164
  • Stop Loss: 3.145
  • Take Profit: 3.1924

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.145 - 3.164 = -0.019

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.164 - 3.1924 = -0.0284

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0284 / -0.019 = 1.4947

📌 Position Size

Amount Margin Quantity Leverage
1334.9604 100 421.9218 13.35
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 -0.019

Taille de position = 8 / -0.019 = -421.05

Taille de position USD = -421.05 x 3.164 = -1332.2

Donc, tu peux acheter -421.05 avec un stoploss a 3.145

Avec un position size USD de -1332.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -421.05 x -0.019 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -421.05 x -0.0284 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

  • Taille de position -421.05
  • Taille de position USD -1332.2
  • Perte potentielle 8
  • Gain potentiel 11.96
  • Risk-Reward Ratio 1.4947

📌 Peformances

TP % Target TP $ Target
0.9 % 11.98 $
SL % Target SL $ Target
0.6 % 8.02 $
PNL PNL %
11.98 $ 0.90
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4425 % 73.69 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.202
            [stop_loss] => 3.145
            [rr_ratio] => 2
            [closed_at] => 2025-08-13 03:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.2115
            [stop_loss] => 3.145
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-13 04:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.221
            [stop_loss] => 3.145
            [rr_ratio] => 3
            [closed_at] => 2025-08-13 04:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.2305
            [stop_loss] => 3.145
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-13 04:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.24
            [stop_loss] => 3.145
            [rr_ratio] => 4
            [closed_at] => 2025-08-13 04:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3.2495
            [stop_loss] => 3.145
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-13 06:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3.259
            [stop_loss] => 3.145
            [rr_ratio] => 5
            [closed_at] => 2025-08-13 06:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 3.2685
            [stop_loss] => 3.145
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-13 06:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.08
            [max_drawdown] => 0.014
            [rr_ratio] => 5.71
            [high] => 3.24400000
            [low] => 3.15000000
            [mfe_pct] => 2.53
            [mae_pct] => 0.44
            [mfe_mae_ratio] => 5.71
            [candles_analyzed] => 24
            [start_at] => 2025-08-13T02:17:29-04:00
            [end_at] => 2025-08-13T04:17:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.11
            [max_drawdown] => 0.014
            [rr_ratio] => 7.86
            [high] => 3.27400000
            [low] => 3.15000000
            [mfe_pct] => 3.48
            [mae_pct] => 0.44
            [mfe_mae_ratio] => 7.86
            [candles_analyzed] => 84
            [start_at] => 2025-08-13T02:17:29-04:00
            [end_at] => 2025-08-13T09:17:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.27900000
            [high_after] => 3.27400000
            [low_before] => 3.11600000
            [low_after] => 3.15000000
            [is_new_high] => 
            [is_new_low] => 
        )

)