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Trade

sell - ALGO

Status
loss
2025-05-15 12:19:57
25 minutes
PNL
-0.79
Entry: 0.2284
Last: 0.23020000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -5.5573
Prediction 1 Probability
Strong Trade
0.74
Prediction 2 Probability
1 0.41
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 1.42

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.001187015686
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 0.22677
  4. ema21 - 0.23046
  5. ema50 - 0.235508
  6. ema100 - 0.238678
  7. price_ema9_diff - 0.00718626
  8. ema9_ema21_diff - -0.0160103
  9. ema21_ema50_diff - -0.0214376
  10. price_ema100_diff - -0.043066
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.443838
  14. kc_percentage - 0.401225
  15. kc_width_percentage - 0.0788966
    16. ¸
  16. 15m
  17. ema9 - 0.225862
  18. ema21 - 0.225833
  19. ema50 - 0.227868
  20. ema100 - 0.23104
  21. price_ema9_diff - 0.0112338
  22. ema9_ema21_diff - 0.000129211
  23. ema21_ema50_diff - -0.00893047
  24. price_ema100_diff - -0.0114299
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.568656
  28. kc_percentage - 0.76958
  29. kc_width_percentage - 0.042372
    30. ¸
  30. 5m
  31. ema9 - 0.227179
  32. ema21 - 0.225848
  33. ema50 - 0.225488
  34. ema100 - 0.225944
  35. price_ema9_diff - 0.00537094
  36. ema9_ema21_diff - 0.00589628
  37. ema21_ema50_diff - 0.00159286
  38. price_ema100_diff - 0.0108698
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.662469
  42. kc_percentage - 1.05328
  43. kc_width_percentage - 0.0197016
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 102266
  47. 5m_price_ema100_diff: 0.00878245
  48. 5m_price: 103164
  49. 5m_correlation_with_coin: 0.806686
  50. btc_indicators
  51. 15m_ema100: 102666
  52. 15m_price_ema100_diff: 0.00485051
  53. 15m_price: 103164
  54. btc_indicators
  55. 1H_ema100: 103276
  56. 1H_price_ema100_diff: -0.00108511
  57. 1H_price: 103164
    58. ¸

Short Trade on ALGO

The 15 May 2025 at 12:19:57

With 4493.0605 ALGO at 0.2284$ per unit.

Position size of 1026.215 $

Take profit at 0.2257 (1.18 %) and Stop Loss at 0.2302 (0.79 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -100 %

Symbol Start at Seach Score Trade Score Trades Count
GALA 2025-05-15 12:18:42 0.9659 -100 3
VET 2025-05-15 12:13:14 0.9673 -100 3
NEAR 2025-05-15 12:15:41 0.9626 -100 2
ENS 2025-05-15 12:20:18 0.9655 -100 1
BCH 2025-05-15 12:04:54 0.9602 -100 1
ATOM 2025-05-15 12:11:05 0.9587 -100 1
PYTH 2025-05-15 12:12:39 0.957 -100 1
POL 2025-05-15 12:22:57 0.9552 -100 1
MEW 2025-05-15 12:02:56 0.954 -100 1

📌 Time Data

Start at Closed at Duration
15 May 2025
12:19:57		 15 May 2025
12:45:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2284 0.2302 0.2257 1.5 0.2617
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 0.2284
  • Stop Loss: 0.2302
  • Take Profit: 0.2257

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2302 - 0.2284 = 0.0018

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2284 - 0.2257 = 0.0027

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0027 / 0.0018 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1026.215 100 4493.0605 10.26
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 0.0018

Taille de position = 8 / 0.0018 = 4444.44

Taille de position USD = 4444.44 x 0.2284 = 1015.11

Donc, tu peux acheter 4444.44 avec un stoploss a 0.2302

Avec un position size USD de 1015.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4444.44 x 0.0018 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4444.44 x 0.0027 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 4444.44
  • Taille de position USD 1015.11
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.18 % 12.13 $
SL % Target SL $ Target
0.79 % 8.09 $
PNL PNL %
-8.09 $ -0.79
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.83187390542908 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2257
            [entry_price] => 0.2284
            [stop_loss] => 0.23038
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-15 12:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2257
            [entry_price] => 0.2284
            [stop_loss] => 0.23056
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-15 12:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2257
            [entry_price] => 0.2284
            [stop_loss] => 0.23074
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-15 12:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2257
            [entry_price] => 0.2284
            [stop_loss] => 0.2311
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-15 12:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0023
            [max_drawdown] => 0.0046
            [rr_ratio] => 0.5
            [high] => 0.23300000
            [low] => 0.22610000
            [mfe_pct] => 1.01
            [mae_pct] => 2.01
            [mfe_mae_ratio] => 0.5
            [candles_analyzed] => 24
            [start_at] => 2025-05-15T12:19:57-04:00
            [end_at] => 2025-05-15T14:19:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0078
            [max_drawdown] => 0.0046
            [rr_ratio] => 1.7
            [high] => 0.23300000
            [low] => 0.22060000
            [mfe_pct] => 3.42
            [mae_pct] => 2.01
            [mfe_mae_ratio] => 1.7
            [candles_analyzed] => 72
            [start_at] => 2025-05-15T12:19:57-04:00
            [end_at] => 2025-05-15T18:19:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.23020000
            [high_after] => 0.23300000
            [low_before] => 0.21980000
            [low_after] => 0.22060000
            [is_new_high] => 
            [is_new_low] => 
        )

)