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Trade

buy - ALGO

Status
win
2025-07-17 16:17:39
42 minutes
PNL
2.45
Entry: 0.3017
Last: 0.30910000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.4625
Prediction 1 Accuracy
Weak Trade
0.74
Prediction 2 Accuracy
0 0.6
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.003279383137
Details
  1. score: 2.05
  2. 1H
  3. ema9 - 0.301294
  4. ema21 - 0.296185
  5. ema50 - 0.289926
  6. ema100 - 0.283159
  7. price_ema9_diff - 0.001345
  8. ema9_ema21_diff - 0.0172493
  9. ema21_ema50_diff - 0.0215877
  10. price_ema100_diff - 0.065478
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.55871
  14. kc_percentage - 0.64209
  15. kc_width_percentage - 0.121043
  16. volume_ema_diff - 0.46609
  17. volume_ema1 - 3242887.787609
  18. volume_ema2 - 2211928.131389
    19. ¸
  19. 15m
  20. ema9 - 0.30696
  21. ema21 - 0.303796
  22. ema50 - 0.298558
  23. ema100 - 0.294406
  24. price_ema9_diff - -0.017136
  25. ema9_ema21_diff - 0.0104144
  26. ema21_ema50_diff - 0.0175424
  27. price_ema100_diff - 0.0247741
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.49066
  31. kc_percentage - 0.389671
  32. kc_width_percentage - 0.071003
  33. volume_ema_diff - 0.0729758
  34. volume_ema1 - 845709.14339333
  35. volume_ema2 - 788190.27729661
    36. ¸
  36. 5m
  37. ema9 - 0.307129
  38. ema21 - 0.308849
  39. ema50 - 0.305593
  40. ema100 - 0.30122
  41. price_ema9_diff - -0.0176784
  42. ema9_ema21_diff - -0.00556784
  43. ema21_ema50_diff - 0.0106533
  44. price_ema100_diff - 0.00159226
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.353655
  48. kc_percentage - -0.0505867
  49. kc_width_percentage - 0.0431993
  50. volume_ema_diff - 0.0308918
  51. volume_ema1 - 357160.92342679
  52. volume_ema2 - 346458.19833814
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 118821
  56. 5m_price_ema100_diff: -0.000416285
  57. 5m_price: 118772
  58. 5m_correlation_with_coin: 0.500905
  59. btc_indicators
  60. 15m_ema100: 118694
  61. 15m_price_ema100_diff: 0.000656928
  62. 15m_price: 118772
  63. btc_indicators
  64. 1H_ema100: 118611
  65. 1H_price_ema100_diff: 0.00135665
  66. 1H_price: 118772
    67. ¸

Long Trade on ALGO

The 17 Jul 2025 at 16:17:39

With 1626 ALGO at 0.3017$ per unit.

Position size of 490.7 $

Take profit at 0.3091 (2.5 %) and Stop Loss at 0.2968 (1.6 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -38.57 %

Symbol Start at Seach Score Trade Score Trades Count
HIPPO 2025-04-09 16:25:53 0.8843 -85 4
HIPPO 2025-05-09 08:12:33 0.8639 30 2
POPCAT 2025-06-28 16:25:48 0.8906 45 2
TON 2025-05-08 14:52:30 0.8758 40 2
MUBARAK 2025-07-05 08:38:02 0.8645 -100 1
1000BONK 2025-05-14 03:28:45 0.8644 -100 1
MELANIA 2025-05-14 05:01:37 0.8613 -100 2

📌 Time Data

Start at Closed at Duration
17 Jul 2025
16:17:39		 17 Jul 2025
17:00:00		 42 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3017 0.2968 0.3091 1.5 0.2939
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 0.3017
  • Stop Loss: 0.2968
  • Take Profit: 0.3091

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2968 - 0.3017 = -0.0049

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3017 - 0.3091 = -0.0074

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0074 / -0.0049 = 1.5102

📌 Position Size

Amount Margin Quantity Leverage
490.7 100 1626 4.91
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 -0.0049

Taille de position = 8 / -0.0049 = -1632.65

Taille de position USD = -1632.65 x 0.3017 = -492.57

Donc, tu peux acheter -1632.65 avec un stoploss a 0.2968

Avec un position size USD de -492.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1632.65 x -0.0049 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1632.65 x -0.0074 = 12.08

Si Take Profit atteint, tu gagneras 12.08$

Résumé

  • Taille de position -1632.65
  • Taille de position USD -492.57
  • Perte potentielle 8
  • Gain potentiel 12.08
  • Risk-Reward Ratio 1.5102

📌 Peformances

TP % Target TP $ Target
2.5 % 12 $
SL % Target SL $ Target
1.6 % 8 $
PNL PNL %
12 $ 2.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2264 % 75.51 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3115
            [stop_loss] => 0.2968
            [rr_ratio] => 2
            [closed_at] => 2025-07-17 17:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.31395
            [stop_loss] => 0.2968
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-17 17:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.3164
            [stop_loss] => 0.2968
            [rr_ratio] => 3
            [closed_at] => 2025-07-17 17:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.31885
            [stop_loss] => 0.2968
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-17 17:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.3213
            [stop_loss] => 0.2968
            [rr_ratio] => 4
            [closed_at] => 2025-07-17 18:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.32375
            [stop_loss] => 0.2968
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-17 18:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.3262
            [stop_loss] => 0.2968
            [rr_ratio] => 5
            [closed_at] => 2025-07-17 18:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.32865
            [stop_loss] => 0.2968
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-17 18:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.3311
            [stop_loss] => 0.2968
            [rr_ratio] => 6
            [closed_at] => 2025-07-17 20:25:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.33355
            [stop_loss] => 0.2968
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-17 20:40:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.336
            [stop_loss] => 0.2968
            [rr_ratio] => 7
            [closed_at] => 2025-07-17 20:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)