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Trade

sell - CETUS

Status
win
2025-05-22 23:08:47
1 hour
PNL
2.76
Entry: 0.1738
Last: 0.16900000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.55
Prediction 2 Probability
0 0.44
Prediction 3 Probability
n/a
ML Trade Score: 30
ML Pullback Score: 2.9

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.002118149256
Details
  1. score: 1.01
  2. 1H
  3. ema9 - 0.169374
  4. ema21 - 0.179156
  5. ema50 - 0.191774
  6. ema100 - 0.198305
  7. price_ema9_diff - 0.0261282
  8. ema9_ema21_diff - -0.0546025
  9. ema21_ema50_diff - -0.0657933
  10. price_ema100_diff - -0.123576
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.45056
  14. kc_percentage - 0.400656
  15. kc_width_percentage - 0.265796
    16. ¸
  16. 15m
  17. ema9 - 0.168684
  18. ema21 - 0.16766
  19. ema50 - 0.17291
  20. ema100 - 0.184678
  21. price_ema9_diff - 0.0303257
  22. ema9_ema21_diff - 0.00610944
  23. ema21_ema50_diff - -0.0303628
  24. price_ema100_diff - -0.0589041
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.620358
  28. kc_percentage - 0.90786
  29. kc_width_percentage - 0.0870344
    30. ¸
  30. 5m
  31. ema9 - 0.171554
  32. ema21 - 0.169132
  33. ema50 - 0.167451
  34. ema100 - 0.16786
  35. price_ema9_diff - 0.0130873
  36. ema9_ema21_diff - 0.0143244
  37. ema21_ema50_diff - 0.0100384
  38. price_ema100_diff - 0.0353825
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.68532
  42. kc_percentage - 1.00668
  43. kc_width_percentage - 0.0514398
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 111342
  47. 5m_price_ema100_diff: -0.00172521
  48. 5m_price: 111150
  49. 5m_correlation_with_coin: 0.388974
  50. btc_indicators
  51. 15m_ema100: 111084
  52. 15m_price_ema100_diff: 0.000593209
  53. 15m_price: 111150
  54. btc_indicators
  55. 1H_ema100: 108211
  56. 1H_price_ema100_diff: 0.0271538
  57. 1H_price: 111150
    58. ¸

Short Trade on CETUS

The 22 May 2025 at 23:08:47

With 2517.9214 CETUS at 0.1738$ per unit.

Position size of 437.6147 $

Take profit at 0.169 (2.76 %) and Stop Loss at 0.177 (1.84 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 26.11 %

Symbol Start at Seach Score Trade Score Trades Count
DF 2025-05-07 18:59:12 0.8947 40 2
BMT 2025-07-06 06:49:33 0.8901 30 1
OM 2025-04-14 06:31:12 0.88 100 1
TIA 2025-06-13 12:14:07 0.8736 30 1
ATH 2025-06-13 12:18:46 0.868 35 2
STRK 2025-06-13 12:14:22 0.8604 30 1
LDO 2025-06-13 12:12:33 0.8568 40 1
FIL 2025-06-13 12:10:23 0.852 -100 1
IO 2025-06-13 12:15:09 0.8454 30 1

📌 Time Data

Start at Closed at Duration
22 May 2025
23:08:47		 23 May 2025
00:25:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1738 0.177 0.169 1.5 0.1115
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 0.1738
  • Stop Loss: 0.177
  • Take Profit: 0.169

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.177 - 0.1738 = 0.0032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1738 - 0.169 = 0.0048

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0048 / 0.0032 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
437.6147 100 2517.9214 4.38
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 0.0032

Taille de position = 8 / 0.0032 = 2500

Taille de position USD = 2500 x 0.1738 = 434.5

Donc, tu peux acheter 2500 avec un stoploss a 0.177

Avec un position size USD de 434.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2500 x 0.0032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2500 x 0.0048 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2500
  • Taille de position USD 434.5
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2.76 % 12.09 $
SL % Target SL $ Target
1.84 % 8.06 $
PNL PNL %
12.09 $ 2.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5017261219793 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00517
            [max_drawdown] => 0.00261
            [rr_ratio] => 1.98
            [high] => 0.17641000
            [low] => 0.16863000
            [mfe_pct] => 2.97
            [mae_pct] => 1.5
            [mfe_mae_ratio] => 1.98
            [candles_analyzed] => 24
            [start_at] => 2025-05-22T23:08:47-04:00
            [end_at] => 2025-05-23T01:08:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00574
            [max_drawdown] => 0.00261
            [rr_ratio] => 2.2
            [high] => 0.17641000
            [low] => 0.16806000
            [mfe_pct] => 3.3
            [mae_pct] => 1.5
            [mfe_mae_ratio] => 2.2
            [candles_analyzed] => 72
            [start_at] => 2025-05-22T23:08:47-04:00
            [end_at] => 2025-05-23T05:08:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17728000
            [high_after] => 0.17641000
            [low_before] => 0.15880000
            [low_after] => 0.16806000
            [is_new_high] => 
            [is_new_low] => 
        )

)