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Trade

sell - FET

Status
win
2025-05-30 08:49:21
15 minutes
PNL
1.33
Entry: 0.8358
Last: 0.82470000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.6313
Prediction 1 Accuracy
Weak Trade
0.64
Prediction 2 Accuracy
0 0.6
ML Trade Score: 140
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.004933830224
Details
  1. score: 1.16
  2. 1H
  3. ema9 - 0.827813
  4. ema21 - 0.840996
  5. ema50 - 0.862401
  6. ema100 - 0.877632
  7. price_ema9_diff - 0.00964818
  8. ema9_ema21_diff - -0.0156755
  9. ema21_ema50_diff - -0.0248202
  10. price_ema100_diff - -0.0476653
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.442029
  14. kc_percentage - 0.432831
  15. kc_width_percentage - 0.0729983
    16. ¸
  16. 15m
  17. ema9 - 0.82361
  18. ema21 - 0.82271
  19. ema50 - 0.829713
  20. ema100 - 0.843727
  21. price_ema9_diff - 0.0147998
  22. ema9_ema21_diff - 0.00109364
  23. ema21_ema50_diff - -0.00843967
  24. price_ema100_diff - -0.0093961
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.593512
  28. kc_percentage - 0.880442
  29. kc_width_percentage - 0.0414398
    30. ¸
  30. 5m
  31. ema9 - 0.824774
  32. ema21 - 0.822011
  33. ema50 - 0.82111
  34. ema100 - 0.822336
  35. price_ema9_diff - 0.0133675
  36. ema9_ema21_diff - 0.0033619
  37. ema21_ema50_diff - 0.0010965
  38. price_ema100_diff - 0.0163728
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.65138
  42. kc_percentage - 1.15776
  43. kc_width_percentage - 0.0248765
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 105616
  47. 5m_price_ema100_diff: 0.00236303
  48. 5m_price: 105866
  49. 5m_correlation_with_coin: 0.757565
  50. btc_indicators
  51. 15m_ema100: 106244
  52. 15m_price_ema100_diff: -0.00355735
  53. 15m_price: 105866
  54. btc_indicators
  55. 1H_ema100: 107707
  56. 1H_price_ema100_diff: -0.0170955
  57. 1H_price: 105866
    58. ¸

Short Trade on FET

The 30 May 2025 at 08:49:21

With 1080.9722 FET at 0.8358$ per unit.

Position size of 903.4766 $

Take profit at 0.8247 (1.33 %) and Stop Loss at 0.8432 (0.89 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -27.4 %

Symbol Start at Seach Score Trade Score Trades Count
ENS 2025-05-30 08:49:05 0.9761 40 1
HBAR 2025-04-09 00:40:50 0.9702 -100 1
TRX 2025-07-19 23:51:41 0.9552 33.33 3
WCT 2025-05-31 17:13:35 0.9594 -67.5 4
FET 2025-05-25 15:59:45 0.9582 45 2
TRUMP 2025-04-14 23:32:08 0.9542 -100 1
SWARMS 2025-03-26 21:55:31 0.9526 -100 1
CHILLGUY 2025-05-24 06:47:44 0.9516 30 1

📌 Time Data

Start at Closed at Duration
30 May 2025
08:49:21		 30 May 2025
09:05:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.8358 0.8432 0.8247 1.5 0.7724
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 0.8358
  • Stop Loss: 0.8432
  • Take Profit: 0.8247

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.8432 - 0.8358 = 0.0074

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.8358 - 0.8247 = 0.0111

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0111 / 0.0074 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
903.4766 100 1080.9722 9.03
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 0.0074

Taille de position = 8 / 0.0074 = 1081.08

Taille de position USD = 1081.08 x 0.8358 = 903.57

Donc, tu peux acheter 1081.08 avec un stoploss a 0.8432

Avec un position size USD de 903.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1081.08 x 0.0074 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1081.08 x 0.0111 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 1081.08
  • Taille de position USD 903.57
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.33 % 12 $
SL % Target SL $ Target
0.89 % 8 $
PNL PNL %
12 $ 1.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.821
            [stop_loss] => 0.8432
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 09:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.8173
            [stop_loss] => 0.8432
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 09:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.8136
            [stop_loss] => 0.8432
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 09:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.8099
            [stop_loss] => 0.8432
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 10:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.8062
            [stop_loss] => 0.8432
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 12:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.8025
            [stop_loss] => 0.8432
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 12:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.7988
            [stop_loss] => 0.8432
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 12:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.7951
            [stop_loss] => 0.8432
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 12:25:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.7914
            [stop_loss] => 0.8432
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.7877
            [stop_loss] => 0.8432
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.784
            [stop_loss] => 0.8432
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.029
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.83390000
            [low] => 0.80680000
            [mfe_pct] => 3.47
            [mae_pct] => -0.23
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T08:49:21-04:00
            [end_at] => 2025-05-30T10:49:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0646
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.83390000
            [low] => 0.77120000
            [mfe_pct] => 7.73
            [mae_pct] => -0.23
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T08:49:21-04:00
            [end_at] => 2025-05-30T14:49:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.83600000
            [high_after] => 0.83390000
            [low_before] => 0.80800000
            [low_after] => 0.77120000
            [is_new_high] => 
            [is_new_low] => 1
        )

)