Trade

buy - ALGO

Status
win
2025-07-14 06:12:26
1 hour
PNL
1.90
Entry: 0.2742
Last: 0.27940000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.3212
Prediction 1 Accuracy
Weak Trade
0.63
Prediction 2 Accuracy
0 0.58
ML Trade Score: 70

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.002309899583
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 0.278832
  4. ema21 - 0.270058
  5. ema50 - 0.252322
  6. ema100 - 0.235982
  7. price_ema9_diff - -0.0166135
  8. ema9_ema21_diff - 0.0324903
  9. ema21_ema50_diff - 0.0702897
  10. price_ema100_diff - 0.161952
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.564747
  14. kc_percentage - 0.577825
  15. kc_width_percentage - 0.157114
  16. volume_ema_diff - 0.128116
  17. volume_ema1 - 3189902.2417153
  18. volume_ema2 - 2827635.9630497
  19. ¸
  20. 15m
  21. ema9 - 0.279658
  22. ema21 - 0.281859
  23. ema50 - 0.277877
  24. ema100 - 0.268609
  25. price_ema9_diff - -0.0195169
  26. ema9_ema21_diff - -0.00781111
  27. ema21_ema50_diff - 0.014331
  28. price_ema100_diff - 0.020814
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.4034
  32. kc_percentage - 0.114883
  33. kc_width_percentage - 0.0722567
  34. volume_ema_diff - -0.369723
  35. volume_ema1 - 747048.35719699
  36. volume_ema2 - 1185270.6686314
  37. ¸
  38. 5m
  39. ema9 - 0.276959
  40. ema21 - 0.278989
  41. ema50 - 0.281619
  42. ema100 - 0.281174
  43. price_ema9_diff - -0.00996507
  44. ema9_ema21_diff - -0.00727512
  45. ema21_ema50_diff - -0.00933993
  46. price_ema100_diff - -0.0248056
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.321378
  50. kc_percentage - -0.0143387
  51. kc_width_percentage - 0.032972
  52. volume_ema_diff - -0.125493
  53. volume_ema1 - 284476.18237048
  54. volume_ema2 - 325299.06438275
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 121537
  59. 5m_price_ema100_diff: 0.00225367
  60. 5m_price: 121811
  61. 5m_correlation_with_coin: 0.395696
  62. btc_indicators
  63. 15m_ema100: 120039
  64. 15m_price_ema100_diff: 0.0147692
  65. 15m_price: 121811
  66. btc_indicators
  67. 1H_ema100: 117374
  68. 1H_price_ema100_diff: 0.0378061
  69. 1H_price: 121811
  70. ¸

Long Trade on ALGO

The 14 Jul 2025 at 06:12:26

With 2309 ALGO at 0.2742$ per unit.

Position size of 633.1 $

Take profit at 0.2794 (1.9 %) and Stop Loss at 0.2707 (1.3 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -25.33 %

Symbol Start at Seach Score Trade Score Trades Count
FIL 2025-06-30 01:02:11 0.9467 -13.33 3
XRP 2025-06-30 21:59:35 0.947 -100 1
X 2025-07-11 03:55:56 0.9456 40 1
NEAR 2025-06-30 00:54:10 0.9403 30 2
GALA 2025-06-30 01:10:22 0.9347 30 2
RARE 2025-04-16 10:01:25 0.9347 -100 1
ALT 2025-07-11 08:31:57 0.9336 -100 1
COW 2025-05-20 08:19:46 0.9327 30 1
ZORA 2025-05-26 05:32:04 0.9288 -100 1
HBAR 2025-06-30 01:01:34 0.9287 30 1

📌 Time Data

Start at Closed at Duration
14 Jul 2025
06:12:26
14 Jul 2025
08:05:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2742 0.2707 0.2794 1.5 0.2993
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 0.2742
  • Stop Loss: 0.2707
  • Take Profit: 0.2794

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2707 - 0.2742 = -0.0035

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2742 - 0.2794 = -0.0052

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0052 / -0.0035 = 1.4857

📌 Position Size

Amount Margin Quantity Leverage
633.1 100 2309 6.33
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 -0.0035

Taille de position = 8 / -0.0035 = -2285.71

Taille de position USD = -2285.71 x 0.2742 = -626.74

Donc, tu peux acheter -2285.71 avec un stoploss a 0.2707

Avec un position size USD de -626.74$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2285.71 x -0.0035 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2285.71 x -0.0052 = 11.89

Si Take Profit atteint, tu gagneras 11.89$

Résumé

  • Taille de position -2285.71
  • Taille de position USD -626.74
  • Perte potentielle 8
  • Gain potentiel 11.89
  • Risk-Reward Ratio 1.4857

📌 Peformances

TP % Target TP $ Target
1.9 % 12 $
SL % Target SL $ Target
1.3 % 8.1 $
PNL PNL %
12 $ 1.90
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6565 % 51.43 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2812
            [stop_loss] => 0.2707
            [rr_ratio] => 2
            [closed_at] => 2025-07-14 08:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.28295
            [stop_loss] => 0.2707
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-14 08:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2847
            [stop_loss] => 0.2707
            [rr_ratio] => 3
            [closed_at] => 2025-07-14 09:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.28645
            [stop_loss] => 0.2707
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-14 10:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)