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Trade

buy - ALCH

Status
win
2025-05-13 22:31:19
1 hour
PNL
1.88
Entry: 0.1598
Last: 0.16280000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.7606
Prediction 1 Probability
Weak Trade
0.58
Prediction 2 Probability
1 0.49
Prediction 3 Probability
n/a
ML Trade Score: 60
ML Pullback Score: 4.73

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.001339029862
Details
  1. score: 2.02
  2. 1H
  3. ema9 - 0.16172
  4. ema21 - 0.156355
  5. ema50 - 0.15204
  6. ema100 - 0.153694
  7. price_ema9_diff - -0.0117512
  8. ema9_ema21_diff - 0.034315
  9. ema21_ema50_diff - 0.0283797
  10. price_ema100_diff - 0.0398535
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.566337
  14. kc_percentage - 0.624003
  15. kc_width_percentage - 0.158022
    16. ¸
  16. 15m
  17. ema9 - 0.163014
  18. ema21 - 0.164342
  19. ema50 - 0.160767
  20. ema100 - 0.156013
  21. price_ema9_diff - -0.0195993
  22. ema9_ema21_diff - -0.00807486
  23. ema21_ema50_diff - 0.0222343
  24. price_ema100_diff - 0.0244011
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.413444
  28. kc_percentage - 0.106028
  29. kc_width_percentage - 0.0721957
    30. ¸
  30. 5m
  31. ema9 - 0.16099
  32. ema21 - 0.162517
  33. ema50 - 0.16481
  34. ema100 - 0.166078
  35. price_ema9_diff - -0.00727011
  36. ema9_ema21_diff - -0.00939561
  37. ema21_ema50_diff - -0.0139129
  38. price_ema100_diff - -0.0376813
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.291136
  42. kc_percentage - -0.0172436
  43. kc_width_percentage - 0.0312456
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 104049
  47. 5m_price_ema100_diff: -0.00407501
  48. 5m_price: 103625
  49. 5m_correlation_with_coin: 0.161938
  50. btc_indicators
  51. 15m_ema100: 103571
  52. 15m_price_ema100_diff: 0.000519391
  53. 15m_price: 103625
  54. btc_indicators
  55. 1H_ema100: 103460
  56. 1H_price_ema100_diff: 0.00159171
  57. 1H_price: 103625
    58. ¸

Long Trade on ALCH

The 13 May 2025 at 22:31:19

With 3982.9831 ALCH at 0.1598$ per unit.

Position size of 636.5604 $

Take profit at 0.1628 (1.88 %) and Stop Loss at 0.1578 (1.25 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -8 %

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API3 2025-08-19 12:11:28 0.9745 30 1
RAY 2025-08-06 19:28:25 0.9611 30 1
1000000MOG 2025-06-30 02:58:39 0.9571 35 2
COW 2025-05-29 04:47:55 0.9552 35 2
ETHFI 2025-08-09 09:54:32 0.9558 -100 1
MOVE 2025-08-09 09:56:47 0.9557 -100 1
EGLD 2025-05-09 04:45:02 0.9545 -100 1
ONDO 2025-06-10 01:56:22 0.9537 30 1
LRC 2025-05-05 19:54:40 0.9536 30 1
BERA 2025-08-23 08:43:53 0.9521 30 2

📌 Time Data

Start at Closed at Duration
13 May 2025
22:31:19		 13 May 2025
23:40:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1598 0.1578 0.1628 1.5 0.116
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 0.1598
  • Stop Loss: 0.1578
  • Take Profit: 0.1628

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1578 - 0.1598 = -0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1598 - 0.1628 = -0.003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.003 / -0.002 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
636.5604 100 3982.9831 6.37
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 -0.002

Taille de position = 8 / -0.002 = -4000

Taille de position USD = -4000 x 0.1598 = -639.2

Donc, tu peux acheter -4000 avec un stoploss a 0.1578

Avec un position size USD de -639.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4000 x -0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4000 x -0.003 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -4000
  • Taille de position USD -639.2
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.88 % 11.95 $
SL % Target SL $ Target
1.25 % 7.97 $
PNL PNL %
11.95 $ 1.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.68210262828536 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1638
            [stop_loss] => 0.1578
            [rr_ratio] => 2
            [closed_at] => 2025-05-13 23:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1648
            [stop_loss] => 0.1578
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-13 23:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1658
            [stop_loss] => 0.1578
            [rr_ratio] => 3
            [closed_at] => 2025-05-14 01:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1668
            [stop_loss] => 0.1578
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-14 03:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1678
            [stop_loss] => 0.1578
            [rr_ratio] => 4
            [closed_at] => 2025-05-14 03:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1688
            [stop_loss] => 0.1578
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-14 03:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1698
            [stop_loss] => 0.1578
            [rr_ratio] => 5
            [closed_at] => 2025-05-14 03:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1708
            [stop_loss] => 0.1578
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-14 03:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1718
            [stop_loss] => 0.1578
            [rr_ratio] => 6
            [closed_at] => 2025-05-14 03:00:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1728
            [stop_loss] => 0.1578
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-14 03:00:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1738
            [stop_loss] => 0.1578
            [rr_ratio] => 7
            [closed_at] => 2025-05-14 03:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00583
            [max_drawdown] => 0.00109
            [rr_ratio] => 5.35
            [high] => 0.16563000
            [low] => 0.15871000
            [mfe_pct] => 3.65
            [mae_pct] => 0.68
            [mfe_mae_ratio] => 5.35
            [candles_analyzed] => 24
            [start_at] => 2025-05-13T22:31:19-04:00
            [end_at] => 2025-05-14T00:31:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00605
            [max_drawdown] => 0.00494
            [rr_ratio] => 1.22
            [high] => 0.16585000
            [low] => 0.15486000
            [mfe_pct] => 3.79
            [mae_pct] => 3.09
            [mfe_mae_ratio] => 1.22
            [candles_analyzed] => 72
            [start_at] => 2025-05-13T22:31:19-04:00
            [end_at] => 2025-05-14T04:31:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17335000
            [high_after] => 0.16585000
            [low_before] => 0.15906000
            [low_after] => 0.15486000
            [is_new_high] => 
            [is_new_low] => 
        )

)