Trade

sell - ALGO

Status
loss
2025-05-15 11:47:31
32 minutes
PNL
-0.88
Entry: 0.2268
Last: 0.22880000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -8.0059
Prediction 1 Accuracy
Weak Trade
0.57
Prediction 2 Accuracy
0 0.53
ML Trade Score: -100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.001302572269
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 0.226205
  4. ema21 - 0.230194
  5. ema50 - 0.235358
  6. ema100 - 0.238391
  7. price_ema9_diff - 0.00262612
  8. ema9_ema21_diff - -0.017325
  9. ema21_ema50_diff - -0.0219434
  10. price_ema100_diff - -0.0486255
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.423926
  14. kc_percentage - 0.335266
  15. kc_width_percentage - 0.0829605
  16. ¸
  17. 15m
  18. ema9 - 0.22447
  19. ema21 - 0.2253
  20. ema50 - 0.227798
  21. ema100 - 0.230956
  22. price_ema9_diff - 0.0103779
  23. ema9_ema21_diff - -0.0036855
  24. ema21_ema50_diff - -0.0109662
  25. price_ema100_diff - -0.0179964
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.528717
  29. kc_percentage - 0.653478
  30. kc_width_percentage - 0.0453948
  31. ¸
  32. 5m
  33. ema9 - 0.224954
  34. ema21 - 0.224183
  35. ema50 - 0.224752
  36. ema100 - 0.225362
  37. price_ema9_diff - 0.00820502
  38. ema9_ema21_diff - 0.00343748
  39. ema21_ema50_diff - -0.00253187
  40. price_ema100_diff - 0.00637984
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.638911
  44. kc_percentage - 1.01895
  45. kc_width_percentage - 0.022197
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 102113
  50. 5m_price_ema100_diff: 0.00923425
  51. 5m_price: 103056
  52. 5m_correlation_with_coin: 0.816093
  53. btc_indicators
  54. 15m_ema100: 102603
  55. 15m_price_ema100_diff: 0.00441722
  56. 15m_price: 103056
  57. btc_indicators
  58. 1H_ema100: 103363
  59. 1H_price_ema100_diff: -0.00296461
  60. 1H_price: 103056
  61. ¸

Short Trade on ALGO

The 15 May 2025 at 11:47:31

With 4094 ALGO at 0.2268$ per unit.

Position size of 928.6 $

Take profit at 0.2239 (1.3 %) and Stop Loss at 0.2288 (0.88 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -100 %

Symbol Start at Seach Score Trade Score Trades Count
BCH 2025-05-15 11:45:18 0.988 -100 1
FET 2025-05-15 11:53:37 0.9764 -100 2
SHIB 2025-05-15 11:46:39 0.9837 -100 1
ENS 2025-05-15 11:48:10 0.9822 -100 1
HBAR 2025-05-15 11:48:48 0.9816 -100 1
VET 2025-05-15 11:48:57 0.9815 -100 1
LINK 2025-05-15 11:45:41 0.9807 -100 1
GMT 2025-05-15 11:47:41 0.9772 -100 1
GALA 2025-05-15 11:46:49 0.9761 -100 1
FIL 2025-05-15 11:46:11 0.976 -100 1
ATOM 2025-05-15 11:46:25 0.9701 -100 1
XRP 2025-05-15 11:54:57 0.9693 -100 1

📌 Time Data

Start at Closed at Duration
15 May 2025
11:47:31
15 May 2025
12:20:00
32 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2268 0.2288 0.2239 1.5 0.1751
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 0.2268
  • Stop Loss: 0.2288
  • Take Profit: 0.2239

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2288 - 0.2268 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2268 - 0.2239 = 0.0029

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0029 / 0.002 = 1.45

📌 Position Size

Amount Margin Quantity Leverage
928.6 100 4094 9.29
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.2268 = 907.2

Donc, tu peux acheter 4000 avec un stoploss a 0.2288

Avec un position size USD de 907.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.0029 = 11.6

Si Take Profit atteint, tu gagneras 11.6$

Résumé

  • Taille de position 4000
  • Taille de position USD 907.2
  • Perte potentielle 8
  • Gain potentiel 11.6
  • Risk-Reward Ratio 1.45

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.88 % 8.2 $
PNL PNL %
-8.2 $ -0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.92592592592592 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2239
            [entry_price] => 0.2268
            [stop_loss] => 0.229
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-15 12:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2239
            [entry_price] => 0.2268
            [stop_loss] => 0.2292
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-15 12:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2239
            [entry_price] => 0.2268
            [stop_loss] => 0.2294
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-15 12:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2239
            [entry_price] => 0.2268
            [stop_loss] => 0.2298
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-15 12:45:00
            [result] => loss
        )

)