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Trade

buy - SYN

Status
win
2025-07-22 22:49:59
2 hours
PNL
4.79
Entry: 0.1797
Last: 0.18830000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.3227
Prediction 1 Accuracy
Weak Trade
0.57
Prediction 2 Accuracy
0 0.41
ML Trade Score: 110
ML Pullback Score: 6.69

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.003806315699
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 0.181124
  4. ema21 - 0.166133
  5. ema50 - 0.15206
  6. ema100 - 0.145118
  7. price_ema9_diff - -0.00786387
  8. ema9_ema21_diff - 0.0902327
  9. ema21_ema50_diff - 0.0925509
  10. price_ema100_diff - 0.238294
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.636657
  14. kc_percentage - 0.781525
  15. kc_width_percentage - 0.249684
  16. volume_ema_diff - 0.919358
  17. volume_ema1 - 1743641.3593919
  18. volume_ema2 - 908450.02351745
    19. ¸
  19. 15m
  20. ema9 - 0.186038
  21. ema21 - 0.186449
  22. ema50 - 0.17571
  23. ema100 - 0.162278
  24. price_ema9_diff - -0.0340704
  25. ema9_ema21_diff - -0.00220374
  26. ema21_ema50_diff - 0.0611178
  27. price_ema100_diff - 0.107354
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.444097
  31. kc_percentage - 0.255619
  32. kc_width_percentage - 0.158668
  33. volume_ema_diff - -0.420629
  34. volume_ema1 - 269290.78232292
  35. volume_ema2 - 464798.9219081
    36. ¸
  36. 5m
  37. ema9 - 0.185511
  38. ema21 - 0.187506
  39. ema50 - 0.188624
  40. ema100 - 0.183813
  41. price_ema9_diff - -0.0313264
  42. ema9_ema21_diff - -0.0106384
  43. ema21_ema50_diff - -0.00592948
  44. price_ema100_diff - -0.0223792
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.351173
  48. kc_percentage - -0.00605071
  49. kc_width_percentage - 0.0845084
  50. volume_ema_diff - 0.209674
  51. volume_ema1 - 171060.08698713
  52. volume_ema2 - 141409.9591897
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 119581
  56. 5m_price_ema100_diff: -0.00413128
  57. 5m_price: 119087
  58. 5m_correlation_with_coin: 0.184579
  59. btc_indicators
  60. 15m_ema100: 118914
  61. 15m_price_ema100_diff: 0.00144777
  62. 15m_price: 119087
  63. btc_indicators
  64. 1H_ema100: 118295
  65. 1H_price_ema100_diff: 0.00668857
  66. 1H_price: 119087
    67. ¸

Long Trade on SYN

The 22 Jul 2025 at 22:49:59

With 1401.18 SYN at 0.1797$ per unit.

Position size of 251.792 $

Take profit at 0.1883 (4.79 %) and Stop Loss at 0.174 (3.17 %)

That's a 1.51 RR Trade

📌 Similar Trades

Similar Trade Score: -35.45 %

Symbol Start at Seach Score Trade Score Trades Count
ATH 2025-05-18 10:14:56 0.9747 -100 1
BGSC 2025-05-20 14:56:11 0.9739 -100 1
T 2025-06-15 10:18:19 0.9708 30 2
MOCA 2025-06-24 03:12:51 0.9714 -100 1
AI16Z 2025-07-05 08:27:07 0.9712 -100 1
BCH 2025-05-07 01:51:08 0.9708 -100 2
ZEN 2025-06-03 00:20:03 0.9699 40 1
FLOKI 2025-07-16 23:18:46 0.969 -100 1
TRB 2025-05-29 10:18:46 0.9689 60 1
SYN 2025-04-24 23:22:27 0.9687 50 1
BLAST 2025-07-20 18:22:24 0.9685 30 1

📌 Time Data

Start at Closed at Duration
22 Jul 2025
22:49:59		 23 Jul 2025
01:10:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1797 0.174 0.1883 1.51 0.1422
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 0.1797
  • Stop Loss: 0.174
  • Take Profit: 0.1883

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.174 - 0.1797 = -0.0057

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1797 - 0.1883 = -0.0086

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0086 / -0.0057 = 1.5088

📌 Position Size

Amount Margin Quantity Leverage
251.792 100 1401.18 2.52
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 -0.0057

Taille de position = 8 / -0.0057 = -1403.51

Taille de position USD = -1403.51 x 0.1797 = -252.21

Donc, tu peux acheter -1403.51 avec un stoploss a 0.174

Avec un position size USD de -252.21$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1403.51 x -0.0057 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1403.51 x -0.0086 = 12.07

Si Take Profit atteint, tu gagneras 12.07$

Résumé

  • Taille de position -1403.51
  • Taille de position USD -252.21
  • Perte potentielle 8
  • Gain potentiel 12.07
  • Risk-Reward Ratio 1.5088

📌 Peformances

TP % Target TP $ Target
4.79 % 12.05 $
SL % Target SL $ Target
3.17 % 7.99 $
PNL PNL %
12.05 $ 4.79
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.2816 % 71.93 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1911
            [stop_loss] => 0.174
            [rr_ratio] => 2
            [closed_at] => 2025-07-23 01:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.19395
            [stop_loss] => 0.174
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-23 01:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1968
            [stop_loss] => 0.174
            [rr_ratio] => 3
            [closed_at] => 2025-07-23 01:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.19965
            [stop_loss] => 0.174
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-23 02:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2025
            [stop_loss] => 0.174
            [rr_ratio] => 4
            [closed_at] => 2025-07-23 02:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.20535
            [stop_loss] => 0.174
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-23 02:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2082
            [stop_loss] => 0.174
            [rr_ratio] => 5
            [closed_at] => 2025-07-23 02:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.21105
            [stop_loss] => 0.174
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-23 02:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0059
            [max_drawdown] => 0.0041
            [rr_ratio] => 1.44
            [high] => 0.18560000
            [low] => 0.17560000
            [mfe_pct] => 3.28
            [mae_pct] => 2.28
            [mfe_mae_ratio] => 1.44
            [candles_analyzed] => 24
            [start_at] => 2025-07-22T22:49:59-04:00
            [end_at] => 2025-07-23T00:49:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0315
            [max_drawdown] => 0.0041
            [rr_ratio] => 7.68
            [high] => 0.21120000
            [low] => 0.17560000
            [mfe_pct] => 17.53
            [mae_pct] => 2.28
            [mfe_mae_ratio] => 7.68
            [candles_analyzed] => 72
            [start_at] => 2025-07-22T22:49:59-04:00
            [end_at] => 2025-07-23T04:49:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.20730000
            [high_after] => 0.21120000
            [low_before] => 0.17720000
            [low_after] => 0.17560000
            [is_new_high] => 1
            [is_new_low] => 
        )

)