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Trade

buy - ALGO

Status
win
2025-07-17 22:25:09
2 hours
PNL
2.37
Entry: 0.3162
Last: 0.32370000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.4389
Prediction 1 Accuracy
Weak Trade
0.67
Prediction 2 Accuracy
0 0.64
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.003344681599
Details
  1. score: 2.06
  2. 1H
  3. ema9 - 0.317441
  4. ema21 - 0.308063
  5. ema50 - 0.297208
  6. ema100 - 0.288612
  7. price_ema9_diff - -0.00391129
  8. ema9_ema21_diff - 0.0304427
  9. ema21_ema50_diff - 0.0365222
  10. price_ema100_diff - 0.0955882
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.562292
  14. kc_percentage - 0.666348
  15. kc_width_percentage - 0.143106
  16. volume_ema_diff - 0.37479
  17. volume_ema1 - 3765261.8647636
  18. volume_ema2 - 2738788.9085349
    19. ¸
  19. 15m
  20. ema9 - 0.324021
  21. ema21 - 0.321878
  22. ema50 - 0.313458
  23. ema100 - 0.304378
  24. price_ema9_diff - -0.0241378
  25. ema9_ema21_diff - 0.00665567
  26. ema21_ema50_diff - 0.0268621
  27. price_ema100_diff - 0.0388376
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.499818
  31. kc_percentage - 0.24271
  32. kc_width_percentage - 0.0734477
  33. volume_ema_diff - -0.0341495
  34. volume_ema1 - 964119.44736377
  35. volume_ema2 - 998207.79906873
    36. ¸
  36. 5m
  37. ema9 - 0.320433
  38. ema21 - 0.323494
  39. ema50 - 0.323322
  40. ema100 - 0.319469
  41. price_ema9_diff - -0.0132121
  42. ema9_ema21_diff - -0.00946306
  43. ema21_ema50_diff - 0.000534333
  44. price_ema100_diff - -0.0102341
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.341068
  48. kc_percentage - -0.0579858
  49. kc_width_percentage - 0.0405939
  50. volume_ema_diff - -0.381619
  51. volume_ema1 - 226851.25115594
  52. volume_ema2 - 366847.21175546
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 119756
  56. 5m_price_ema100_diff: 0.0023544
  57. 5m_price: 120038
  58. 5m_correlation_with_coin: 0.439744
  59. btc_indicators
  60. 15m_ema100: 119068
  61. 15m_price_ema100_diff: 0.00770148
  62. 15m_price: 119985
  63. btc_indicators
  64. 1H_ema100: 118818
  65. 1H_price_ema100_diff: 0.0102676
  66. 1H_price: 120038
    67. ¸

Long Trade on ALGO

The 17 Jul 2025 at 22:25:09

With 1595 ALGO at 0.3162$ per unit.

Position size of 504.2 $

Take profit at 0.3237 (2.4 %) and Stop Loss at 0.3112 (1.6 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -64.38 %

Symbol Start at Seach Score Trade Score Trades Count
FARTCOIN 2025-07-02 20:12:43 0.9504 -35 2
BNB 2025-04-18 15:45:37 0.9495 -10 4
TRUMP 2025-04-26 08:03:18 0.951 -100 1
CAKE 2025-07-18 04:40:26 0.9507 -100 1
AIXBT 2025-04-25 11:44:03 0.9497 -100 1
LOKA 2025-07-20 18:21:00 0.9487 -100 2
AVL 2025-07-20 05:59:29 0.9476 30 1
ATH 2025-05-12 20:21:56 0.9454 -100 1

📌 Time Data

Start at Closed at Duration
17 Jul 2025
22:25:09		 18 Jul 2025
01:05:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3162 0.3112 0.3237 1.5 0.3095
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 0.3162
  • Stop Loss: 0.3112
  • Take Profit: 0.3237

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3112 - 0.3162 = -0.005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3162 - 0.3237 = -0.0075

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0075 / -0.005 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
504.2 100 1595 5.04
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 -0.005

Taille de position = 8 / -0.005 = -1600

Taille de position USD = -1600 x 0.3162 = -505.92

Donc, tu peux acheter -1600 avec un stoploss a 0.3112

Avec un position size USD de -505.92$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1600 x -0.005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1600 x -0.0075 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -1600
  • Taille de position USD -505.92
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2.4 % 12 $
SL % Target SL $ Target
1.6 % 8 $
PNL PNL %
12 $ 2.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.759 % 48 % 12

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3262
            [stop_loss] => 0.3112
            [rr_ratio] => 2
            [closed_at] => 2025-07-18 03:35:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.3287
            [stop_loss] => 0.3112
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-18 03:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.3312
            [stop_loss] => 0.3112
            [rr_ratio] => 3
            [closed_at] => 2025-07-18 03:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.3337
            [stop_loss] => 0.3112
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-18 03:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.3362
            [stop_loss] => 0.3112
            [rr_ratio] => 4
            [closed_at] => 2025-07-18 03:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.3387
            [stop_loss] => 0.3112
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-18 03:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.3412
            [stop_loss] => 0.3112
            [rr_ratio] => 5
            [closed_at] => 2025-07-18 03:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.3437
            [stop_loss] => 0.3112
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-18 03:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.3462
            [stop_loss] => 0.3112
            [rr_ratio] => 6
            [closed_at] => 2025-07-18 03:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.3487
            [stop_loss] => 0.3112
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-18 03:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.3512
            [stop_loss] => 0.3112
            [rr_ratio] => 7
            [closed_at] => 2025-07-18 03:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)