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Trade

buy - ALGO

Status
win
2025-08-06 16:48:37
16 minutes
PNL
0.45
Entry: 0.242
Last: 0.24310000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.0667
Prediction 1 Probability
Weak Trade
0.82
Prediction 2 Probability
0 0.67
Prediction 3 Probability
1 0.61
ML Trade Score: 110
ML Pullback Score: 4.91

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0005071823833
Details
  1. score: 2.08
  2. 1H
  3. ema9 - 0.241971
  4. ema21 - 0.240106
  5. ema50 - 0.239582
  6. ema100 - 0.238022
  7. price_ema9_diff - 0.000116261
  8. ema9_ema21_diff - 0.00776876
  9. ema21_ema50_diff - 0.00218743
  10. price_ema100_diff - 0.0167085
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.551754
  14. adx - 0.201527
  15. kc_percentage - 0.646552
  16. kc_width_percentage - 0.0512775
  17. volume_ema_diff - -0.0973708
  18. volume_ema1 - 524928.752186
  19. volume_ema2 - 581555.26064279
    20. ¸
  20. 15m
  21. ema9 - 0.243083
  22. ema21 - 0.242859
  23. ema50 - 0.240966
  24. ema100 - 0.239201
  25. price_ema9_diff - -0.00445667
  26. ema9_ema21_diff - 0.000922444
  27. ema21_ema50_diff - 0.00785703
  28. price_ema100_diff - 0.0116976
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.472744
  32. adx - 0.223004
  33. kc_percentage - 0.290529
  34. kc_width_percentage - 0.0181365
  35. volume_ema_diff - -0.594795
  36. volume_ema1 - 60652.255945507
  37. volume_ema2 - 149683.21184562
    38. ¸
  38. 5m
  39. ema9 - 0.242588
  40. ema21 - 0.243118
  41. ema50 - 0.24318
  42. ema100 - 0.242072
  43. price_ema9_diff - -0.00242687
  44. ema9_ema21_diff - -0.00217965
  45. ema21_ema50_diff - -0.000252556
  46. price_ema100_diff - -0.000300345
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.328587
  50. adx - 0.156479
  51. kc_percentage - -0.0771988
  52. kc_width_percentage - 0.00778082
  53. volume_ema_diff - -0.572727
  54. volume_ema1 - 18264.64274572
  55. volume_ema2 - 42747.043783612
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 114960
  59. 5m_price_ema100_diff: 0.0002631
  60. 5m_price: 114991
  61. 5m_correlation_with_coin: 0.80045
  62. btc_indicators
  63. 15m_ema100: 114412
  64. 15m_price_ema100_diff: 0.00505753
  65. 15m_price: 114991
  66. btc_indicators
  67. 1H_ema100: 114028
  68. 1H_price_ema100_diff: 0.00844138
  69. 1H_price: 114991
    70. ¸

Long Trade on ALGO

The 06 Aug 2025 at 16:48:37

With 10515.6123 ALGO at 0.242$ per unit.

Position size of 2544.7782 $

Take profit at 0.2431 (0.45 %) and Stop Loss at 0.2412 (0.33 %)

That's a 1.38 RR Trade

📌 Similar Trades

Similar Trade Score: 13.13 %

Symbol Start at Seach Score Trade Score Trades Count
BTC 2025-08-06 16:42:01 0.9597 -35 2
ATOM 2025-08-06 16:48:14 0.9622 30 1
BRETT 2025-04-14 11:51:28 0.9468 60 1
SSV 2025-06-10 22:43:50 0.9431 35 2
APE 2025-07-20 17:20:47 0.9417 30 2
ARB 2025-06-03 00:15:28 0.9397 40 2
MELANIA 2025-06-28 03:03:42 0.9377 35 2
PAXG 2025-04-11 01:41:27 0.9387 -90 1

📌 Time Data

Start at Closed at Duration
06 Aug 2025
16:48:37		 06 Aug 2025
17:05:00		 16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.242 0.2412 0.2431 1.38 0.2598
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 0.242
  • Stop Loss: 0.2412
  • Take Profit: 0.2431

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2412 - 0.242 = -0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.242 - 0.2431 = -0.0011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0011 / -0.0008 = 1.375

📌 Position Size

Amount Margin Quantity Leverage
2544.7782 100 10515.6123 25.45
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 -0.0008

Taille de position = 8 / -0.0008 = -10000

Taille de position USD = -10000 x 0.242 = -2420

Donc, tu peux acheter -10000 avec un stoploss a 0.2412

Avec un position size USD de -2420$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -10000 x -0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -10000 x -0.0011 = 11

Si Take Profit atteint, tu gagneras 11$

Résumé

  • Taille de position -10000
  • Taille de position USD -2420
  • Perte potentielle 8
  • Gain potentiel 11
  • Risk-Reward Ratio 1.375

📌 Peformances

TP % Target TP $ Target
0.45 % 11.57 $
SL % Target SL $ Target
0.33 % 8.41 $
PNL PNL %
11.57 $ 0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2436
            [stop_loss] => 0.2412
            [rr_ratio] => 2
            [closed_at] => 2025-08-06 20:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.244
            [stop_loss] => 0.2412
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-06 20:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2444
            [stop_loss] => 0.2412
            [rr_ratio] => 3
            [closed_at] => 2025-08-06 20:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2448
            [stop_loss] => 0.2412
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-06 20:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2452
            [stop_loss] => 0.2412
            [rr_ratio] => 4
            [closed_at] => 2025-08-06 21:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2456
            [stop_loss] => 0.2412
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-06 21:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.246
            [stop_loss] => 0.2412
            [rr_ratio] => 5
            [closed_at] => 2025-08-06 21:25:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.2464
            [stop_loss] => 0.2412
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-06 21:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0014
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 2
            [high] => 0.24340000
            [low] => 0.24130000
            [mfe_pct] => 0.58
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 2
            [candles_analyzed] => 24
            [start_at] => 2025-08-06T16:48:37-04:00
            [end_at] => 2025-08-06T18:48:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0046
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 6.57
            [high] => 0.24660000
            [low] => 0.24130000
            [mfe_pct] => 1.9
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 6.57
            [candles_analyzed] => 84
            [start_at] => 2025-08-06T16:48:37-04:00
            [end_at] => 2025-08-06T23:48:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.24700000
            [high_after] => 0.24660000
            [low_before] => 0.24190000
            [low_after] => 0.24130000
            [is_new_high] => 
            [is_new_low] => 
        )

)