Trade

buy - ALGO

Status
loss
2025-06-16 17:34:45
15 seconds
PNL
-0.33
Entry: 0.1836
Last: 0.18300000

Results

Status:
loss
Trade Type:
buy
Prediction Score: -0.5524
Prediction 1 Accuracy
Weak Trade
0.69
Prediction 2 Accuracy
0 0.58
ML Trade Score: -100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.0004056160873
Details
  1. score: 2.22
  2. 1H
  3. ema9 - 0.18381
  4. ema21 - 0.182023
  5. ema50 - 0.179981
  6. ema100 - 0.179782
  7. price_ema9_diff - -0.00114281
  8. ema9_ema21_diff - 0.00981666
  9. ema21_ema50_diff - 0.0113453
  10. price_ema100_diff - 0.021235
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.57967
  14. kc_percentage - 0.697371
  15. kc_width_percentage - 0.0398976
  16. volume_ema_diff - 0.205078
  17. ¸
  18. 15m
  19. ema9 - 0.184563
  20. ema21 - 0.184505
  21. ema50 - 0.183256
  22. ema100 - 0.180834
  23. price_ema9_diff - -0.005222
  24. ema9_ema21_diff - 0.000317355
  25. ema21_ema50_diff - 0.00681526
  26. price_ema100_diff - 0.0152921
  27. all_emas_in_trend - True
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.444924
  30. kc_percentage - 0.215299
  31. kc_width_percentage - 0.0178147
  32. volume_ema_diff - 0.0288192
  33. ¸
  34. 5m
  35. ema9 - 0.184504
  36. ema21 - 0.184779
  37. ema50 - 0.184741
  38. ema100 - 0.184227
  39. price_ema9_diff - -0.00489965
  40. ema9_ema21_diff - -0.00149069
  41. ema21_ema50_diff - 0.000207214
  42. price_ema100_diff - -0.00340393
  43. all_emas_in_trend - False
  44. all_emas_and_price_in_trend - False
  45. rsi - 0.332472
  46. kc_percentage - -0.216302
  47. kc_width_percentage - 0.00888943
  48. volume_ema_diff - 1.45525
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 107926
  53. 5m_price_ema100_diff: 0.0050909
  54. 5m_price: 108475
  55. 5m_correlation_with_coin: 0.693378
  56. btc_indicators
  57. 15m_ema100: 106933
  58. 15m_price_ema100_diff: 0.0144167
  59. 15m_price: 108475
  60. btc_indicators
  61. 1H_ema100: 106201
  62. 1H_price_ema100_diff: 0.021411
  63. 1H_price: 108475
  64. ¸

Long Trade on ALGO

The 16 Jun 2025 at 17:34:45

With 13150 ALGO at 0.1836$ per unit.

Position size of 2414 $

Take profit at 0.1845 (0.49 %) and Stop Loss at 0.183 (0.33 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -69.45 %

Symbol Start at Seach Score Trade Score Trades Count
CRV 2025-06-10 00:41:32 0.949 -46.67 3
KAS 2025-05-02 23:49:20 0.9463 -100 5
XTZ 2025-07-18 09:18:13 0.9482 -100 1
MEW 2025-05-13 19:06:46 0.9448 30 1
UNI 2025-05-26 09:54:36 0.9431 -100 1
XAUT 2025-05-23 15:47:36 0.9427 -100 1

📌 Time Data

Start at Closed at Duration
16 Jun 2025
17:34:45
16 Jun 2025
17:35:00
15 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1836 0.183 0.1845 1.5 0.2827
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 0.1836
  • Stop Loss: 0.183
  • Take Profit: 0.1845

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.183 - 0.1836 = -0.00060000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1836 - 0.1845 = -0.00089999999999998

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00089999999999998 / -0.00060000000000002 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2414 100 13150 24.14
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 -0.00060000000000002

Taille de position = 8 / -0.00060000000000002 = -13333.33

Taille de position USD = -13333.33 x 0.1836 = -2448

Donc, tu peux acheter -13333.33 avec un stoploss a 0.183

Avec un position size USD de -2448$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -13333.33 x -0.00060000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -13333.33 x -0.00089999999999998 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -13333.33
  • Taille de position USD -2448
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.49 % 12 $
SL % Target SL $ Target
0.33 % 7.9 $
PNL PNL %
-7.9 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4902 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1845
            [entry_price] => 0.1836
            [stop_loss] => 0.18294
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-06-16 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1845
            [entry_price] => 0.1836
            [stop_loss] => 0.18288
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-06-16 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1845
            [entry_price] => 0.1836
            [stop_loss] => 0.18282
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-06-16 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1845
            [entry_price] => 0.1836
            [stop_loss] => 0.1827
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-06-16 17:35:00
            [result] => loss
        )

)