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Trade

buy - ALGO

Status
win
2025-07-13 17:43:58
21 minutes
PNL
2.25
Entry: 0.2579
Last: 0.26370000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.7024
Prediction 1 Accuracy
Weak Trade
0.58
Prediction 2 Accuracy
0 0.51
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.002564171922
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 0.257767
  4. ema21 - 0.247421
  5. ema50 - 0.234351
  6. ema100 - 0.222524
  7. price_ema9_diff - 0.000515844
  8. ema9_ema21_diff - 0.0418115
  9. ema21_ema50_diff - 0.0557729
  10. price_ema100_diff - 0.158974
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.637904
  14. kc_percentage - 0.79487
  15. kc_width_percentage - 0.128502
  16. volume_ema_diff - 0.462785
  17. volume_ema1 - 1871282.7488326
  18. volume_ema2 - 1279259.8906033
    19. ¸
  19. 15m
  20. ema9 - 0.263673
  21. ema21 - 0.261506
  22. ema50 - 0.254051
  23. ema100 - 0.243715
  24. price_ema9_diff - -0.0218949
  25. ema9_ema21_diff - 0.00828645
  26. ema21_ema50_diff - 0.0293435
  27. price_ema100_diff - 0.0582024
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.557929
  31. kc_percentage - 0.264204
  32. kc_width_percentage - 0.0629714
  33. volume_ema_diff - -0.419921
  34. volume_ema1 - 285031.49916748
  35. volume_ema2 - 491367.13107158
    36. ¸
  36. 5m
  37. ema9 - 0.262354
  38. ema21 - 0.263185
  39. ema50 - 0.262392
  40. ema100 - 0.260186
  41. price_ema9_diff - -0.0169779
  42. ema9_ema21_diff - -0.00315928
  43. ema21_ema50_diff - 0.00302338
  44. price_ema100_diff - -0.00878883
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.362181
  48. kc_percentage - -0.00707665
  49. kc_width_percentage - 0.0403294
  50. volume_ema_diff - 0.148905
  51. volume_ema1 - 200328.82866723
  52. volume_ema2 - 174364.95442351
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 118780
  56. 5m_price_ema100_diff: -0.0014425
  57. 5m_price: 118609
  58. 5m_correlation_with_coin: 0.197098
  59. btc_indicators
  60. 15m_ema100: 118172
  61. 15m_price_ema100_diff: 0.00503234
  62. 15m_price: 118766
  63. btc_indicators
  64. 1H_ema100: 116077
  65. 1H_price_ema100_diff: 0.0218148
  66. 1H_price: 118609
    67. ¸

Long Trade on ALGO

The 13 Jul 2025 at 17:43:58

With 2080 ALGO at 0.2579$ per unit.

Position size of 536.4 $

Take profit at 0.2637 (2.2 %) and Stop Loss at 0.2541 (1.5 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -70.24 %

Symbol Start at Seach Score Trade Score Trades Count
LINK 2025-07-13 17:40:35 0.9673 -100 1
UNI 2025-05-26 10:15:39 0.9624 -76.67 6
JUP 2025-05-26 09:58:36 0.9627 -100 2
KAS 2025-07-08 21:35:53 0.9628 -100 1
XTZ 2025-07-18 09:18:13 0.9607 -100 1
SAGA 2025-07-11 07:55:52 0.9605 -60 1
USUAL 2025-07-11 07:40:20 0.9604 45 2

📌 Time Data

Start at Closed at Duration
13 Jul 2025
17:43:58		 13 Jul 2025
18:05:00		 21 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2579 0.2541 0.2637 1.5 0.2884
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 0.2579
  • Stop Loss: 0.2541
  • Take Profit: 0.2637

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2541 - 0.2579 = -0.0038

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2579 - 0.2637 = -0.0058

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0058 / -0.0038 = 1.5263

📌 Position Size

Amount Margin Quantity Leverage
536.4 100 2080 5.36
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 -0.0038

Taille de position = 8 / -0.0038 = -2105.26

Taille de position USD = -2105.26 x 0.2579 = -542.95

Donc, tu peux acheter -2105.26 avec un stoploss a 0.2541

Avec un position size USD de -542.95$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2105.26 x -0.0038 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2105.26 x -0.0058 = 12.21

Si Take Profit atteint, tu gagneras 12.21$

Résumé

  • Taille de position -2105.26
  • Taille de position USD -542.95
  • Perte potentielle 8
  • Gain potentiel 12.21
  • Risk-Reward Ratio 1.5263

📌 Peformances

TP % Target TP $ Target
2.2 % 12 $
SL % Target SL $ Target
1.5 % 7.9 $
PNL PNL %
12 $ 2.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2655
            [stop_loss] => 0.2541
            [rr_ratio] => 2
            [closed_at] => 2025-07-13 18:20:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.2674
            [stop_loss] => 0.2541
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-13 18:20:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.2693
            [stop_loss] => 0.2541
            [rr_ratio] => 3
            [closed_at] => 2025-07-13 18:20:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.2712
            [stop_loss] => 0.2541
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-13 18:20:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.2731
            [stop_loss] => 0.2541
            [rr_ratio] => 4
            [closed_at] => 2025-07-13 18:20:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.275
            [stop_loss] => 0.2541
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-13 18:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2769
            [stop_loss] => 0.2541
            [rr_ratio] => 5
            [closed_at] => 2025-07-13 18:20:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.2788
            [stop_loss] => 0.2541
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-13 18:20:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2807
            [stop_loss] => 0.2541
            [rr_ratio] => 6
            [closed_at] => 2025-07-13 18:20:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.2826
            [stop_loss] => 0.2541
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-13 18:20:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2845
            [stop_loss] => 0.2541
            [rr_ratio] => 7
            [closed_at] => 2025-07-13 18:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)