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Trade

sell - FET

Status
win
2025-05-17 00:56:15
23 minutes
PNL
0.76
Entry: 0.7651
Last: 0.75930000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.5195
Prediction 1 Probability
Strong Trade
0.53
Prediction 2 Probability
0 0.37
Prediction 3 Probability
n/a
ML Trade Score: 130
ML Pullback Score: 7.01

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.002565346056
Details
  1. score: 1.13
  2. 1H
  3. ema9 - 0.762549
  4. ema21 - 0.772223
  5. ema50 - 0.786931
  6. ema100 - 0.799172
  7. price_ema9_diff - 0.00334475
  8. ema9_ema21_diff - -0.0125281
  9. ema21_ema50_diff - -0.0186894
  10. price_ema100_diff - -0.0426341
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.437328
  14. kc_percentage - 0.387491
  15. kc_width_percentage - 0.0751517
    16. ¸
  16. 15m
  17. ema9 - 0.758369
  18. ema21 - 0.757515
  19. ema50 - 0.765063
  20. ema100 - 0.774158
  21. price_ema9_diff - 0.00887534
  22. ema9_ema21_diff - 0.00112716
  23. ema21_ema50_diff - -0.00986543
  24. price_ema100_diff - -0.0117008
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.562654
  28. kc_percentage - 0.830532
  29. kc_width_percentage - 0.0306644
    30. ¸
  30. 5m
  31. ema9 - 0.763012
  32. ema21 - 0.758918
  33. ema50 - 0.756162
  34. ema100 - 0.758113
  35. price_ema9_diff - 0.00273617
  36. ema9_ema21_diff - 0.00539463
  37. ema21_ema50_diff - 0.00364441
  38. price_ema100_diff - 0.00921606
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.690746
  42. kc_percentage - 1.12783
  43. kc_width_percentage - 0.0123177
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103342
  47. 5m_price_ema100_diff: 0.00247624
  48. 5m_price: 103598
  49. 5m_correlation_with_coin: 0.686253
  50. btc_indicators
  51. 15m_ema100: 103619
  52. 15m_price_ema100_diff: -0.000204354
  53. 15m_price: 103598
  54. btc_indicators
  55. 1H_ema100: 103270
  56. 1H_price_ema100_diff: 0.00317475
  57. 1H_price: 103598
    58. ¸

Short Trade on FET

The 17 May 2025 at 00:56:15

With 2078.9918 FET at 0.7651$ per unit.

Position size of 1590.6366 $

Take profit at 0.7593 (0.76 %) and Stop Loss at 0.7689 (0.5 %)

That's a 1.53 RR Trade

📌 Similar Trades

Similar Trade Score: 17.86 %

Symbol Start at Seach Score Trade Score Trades Count
HBAR 2025-05-17 00:58:39 0.9883 30 2
AVAX 2025-05-17 00:57:47 0.9893 30 2
LINK 2025-05-17 00:59:21 0.9875 50 1
APE 2025-05-17 00:58:11 0.9845 45 2
DOT 2025-05-17 00:57:26 0.9864 40 2
ADA 2025-05-17 00:57:09 0.9853 -100 2
NEAR 2025-05-17 01:00:07 0.9812 30 1

📌 Time Data

Start at Closed at Duration
17 May 2025
00:56:15		 17 May 2025
01:20:00		 23 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7651 0.7689 0.7593 1.53 0.6918
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 0.7651
  • Stop Loss: 0.7689
  • Take Profit: 0.7593

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7689 - 0.7651 = 0.0038

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7651 - 0.7593 = 0.0058

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0058 / 0.0038 = 1.5263

📌 Position Size

Amount Margin Quantity Leverage
1590.6366 100 2078.9918 15.91
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 0.0038

Taille de position = 8 / 0.0038 = 2105.26

Taille de position USD = 2105.26 x 0.7651 = 1610.73

Donc, tu peux acheter 2105.26 avec un stoploss a 0.7689

Avec un position size USD de 1610.73$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2105.26 x 0.0038 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2105.26 x 0.0058 = 12.21

Si Take Profit atteint, tu gagneras 12.21$

Résumé

  • Taille de position 2105.26
  • Taille de position USD 1610.73
  • Perte potentielle 8
  • Gain potentiel 12.21
  • Risk-Reward Ratio 1.5263

📌 Peformances

TP % Target TP $ Target
0.76 % 12.06 $
SL % Target SL $ Target
0.5 % 7.9 $
PNL PNL %
12.06 $ 0.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4313161678212 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.7575
            [stop_loss] => 0.7689
            [rr_ratio] => 2
            [closed_at] => 2025-05-17 01:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.7556
            [stop_loss] => 0.7689
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-17 01:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.7537
            [stop_loss] => 0.7689
            [rr_ratio] => 3
            [closed_at] => 2025-05-17 01:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.7518
            [stop_loss] => 0.7689
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-17 02:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.7499
            [stop_loss] => 0.7689
            [rr_ratio] => 4
            [closed_at] => 2025-05-17 03:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.748
            [stop_loss] => 0.7689
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-17 04:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.7461
            [stop_loss] => 0.7689
            [rr_ratio] => 5
            [closed_at] => 2025-05-17 05:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.7442
            [stop_loss] => 0.7689
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-17 05:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.7423
            [stop_loss] => 0.7689
            [rr_ratio] => 6
            [closed_at] => 2025-05-17 05:05:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.7404
            [stop_loss] => 0.7689
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-17 05:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0142
            [max_drawdown] => 0.0033
            [rr_ratio] => 4.3
            [high] => 0.76840000
            [low] => 0.75090000
            [mfe_pct] => 1.86
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 4.3
            [candles_analyzed] => 24
            [start_at] => 2025-05-17T00:56:15-04:00
            [end_at] => 2025-05-17T02:56:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0259
            [max_drawdown] => 0.0033
            [rr_ratio] => 7.85
            [high] => 0.76840000
            [low] => 0.73920000
            [mfe_pct] => 3.39
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 7.85
            [candles_analyzed] => 72
            [start_at] => 2025-05-17T00:56:15-04:00
            [end_at] => 2025-05-17T06:56:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.76710000
            [high_after] => 0.76840000
            [low_before] => 0.73510000
            [low_after] => 0.73920000
            [is_new_high] => 
            [is_new_low] => 
        )

)