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Trade

buy - ETHFI

Status
win
2025-07-10 00:09:17
43 seconds
PNL
1.38
Entry: 1.0865
Last: 1.10100000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.3682
Prediction 1 Probability
Strong Trade
0.58
Prediction 2 Probability
0 0.45
Prediction 3 Probability
n/a
ML Trade Score: 110
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.006648980807
Details
  1. score: 2.09
  2. 1H
  3. ema9 - 1.07748
  4. ema21 - 1.03605
  5. ema50 - 0.994372
  6. ema100 - 0.971135
  7. price_ema9_diff - 0.00836867
  8. ema9_ema21_diff - 0.0399852
  9. ema21_ema50_diff - 0.041919
  10. price_ema100_diff - 0.118793
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.706557
  14. kc_percentage - 1.01115
  15. kc_width_percentage - 0.0860577
  16. volume_ema_diff - 0.0861255
  17. volume_ema1 - 890362.09097162
  18. volume_ema2 - 819759.82141766
    19. ¸
  19. 15m
  20. ema9 - 1.10015
  21. ema21 - 1.09304
  22. ema50 - 1.05921
  23. ema100 - 1.02069
  24. price_ema9_diff - -0.0124146
  25. ema9_ema21_diff - 0.00650795
  26. ema21_ema50_diff - 0.0319388
  27. price_ema100_diff - 0.0644726
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.50199
  31. kc_percentage - 0.351046
  32. kc_width_percentage - 0.0469178
  33. volume_ema_diff - -0.248178
  34. volume_ema1 - 227060.8506027
  35. volume_ema2 - 302014.26450711
    36. ¸
  36. 5m
  37. ema9 - 1.09532
  38. ema21 - 1.10152
  39. ema50 - 1.09907
  40. ema100 - 1.08691
  41. price_ema9_diff - -0.00805461
  42. ema9_ema21_diff - -0.00563493
  43. ema21_ema50_diff - 0.00223007
  44. price_ema100_diff - -0.000382266
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.327102
  48. kc_percentage - -0.0865067
  49. kc_width_percentage - 0.023222
  50. volume_ema_diff - -0.211396
  51. volume_ema1 - 79943.252390355
  52. volume_ema2 - 101373.25295894
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 111215
  56. 5m_price_ema100_diff: -0.00235613
  57. 5m_price: 110953
  58. 5m_correlation_with_coin: 0.443763
  59. btc_indicators
  60. 15m_ema100: 110000
  61. 15m_price_ema100_diff: 0.00866854
  62. 15m_price: 110953
  63. btc_indicators
  64. 1H_ema100: 109015
  65. 1H_price_ema100_diff: 0.0177854
  66. 1H_price: 110953
    67. ¸

Long Trade on ETHFI

The 10 Jul 2025 at 00:09:17

With 802.1279 ETHFI at 1.0865$ per unit.

Position size of 871.512 $

Take profit at 1.1015 (1.38 %) and Stop Loss at 1.0765 (0.92 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -74 %

Symbol Start at Seach Score Trade Score Trades Count
LPT 2025-06-04 20:28:43 0.9881 -100 2
LTC 2025-07-02 19:20:14 0.9842 -100 1
LINK 2025-07-18 03:39:40 0.984 -100 1
CFX 2025-07-29 10:07:56 0.9837 -100 1
ICP 2025-07-02 19:23:28 0.9834 -100 1
SUI 2025-07-02 19:22:20 0.9827 -100 2
CRV 2025-03-26 09:39:47 0.9824 -100 2
ETC 2025-07-02 19:21:02 0.9819 -100 1
ORDI 2025-07-02 19:49:11 0.9819 30 1
STX 2025-07-02 19:27:41 0.9818 30 1

📌 Time Data

Start at Closed at Duration
10 Jul 2025
00:09:17		 10 Jul 2025
00:10:00		 43 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0865 1.0765 1.1015 1.5 1.1145
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 1.0865
  • Stop Loss: 1.0765
  • Take Profit: 1.1015

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0765 - 1.0865 = -0.01

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0865 - 1.1015 = -0.015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.015 / -0.01 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
871.512 100 802.1279 8.72
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 -0.01

Taille de position = 8 / -0.01 = -800

Taille de position USD = -800 x 1.0865 = -869.2

Donc, tu peux acheter -800 avec un stoploss a 1.0765

Avec un position size USD de -869.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -800 x -0.01 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -800 x -0.015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -800
  • Taille de position USD -869.2
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.38 % 12.03 $
SL % Target SL $ Target
0.92 % 8.02 $
PNL PNL %
12.04 $ 1.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.104
            [stop_loss] => 1.077
            [rr_ratio] => 2
            [closed_at] => 2025-07-10 00:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.1085
            [stop_loss] => 1.077
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-10 02:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.113
            [stop_loss] => 1.077
            [rr_ratio] => 3
            [closed_at] => 2025-07-10 02:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.1175
            [stop_loss] => 1.077
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-10 02:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.122
            [stop_loss] => 1.077
            [rr_ratio] => 4
            [closed_at] => 2025-07-10 03:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.1265
            [stop_loss] => 1.077
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-10 03:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.131
            [stop_loss] => 1.077
            [rr_ratio] => 5
            [closed_at] => 2025-07-10 03:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.1355
            [stop_loss] => 1.077
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-10 03:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0188
            [max_drawdown] => 0.002
            [rr_ratio] => 9.4
            [high] => 1.10530000
            [low] => 1.08450000
            [mfe_pct] => 1.73
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 9.4
            [candles_analyzed] => 24
            [start_at] => 2025-07-10T00:09:17-04:00
            [end_at] => 2025-07-10T02:09:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0523
            [max_drawdown] => 0.002
            [rr_ratio] => 26.15
            [high] => 1.13880000
            [low] => 1.08450000
            [mfe_pct] => 4.81
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 26.15
            [candles_analyzed] => 72
            [start_at] => 2025-07-10T00:09:17-04:00
            [end_at] => 2025-07-10T06:09:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.12680000
            [high_after] => 1.13880000
            [low_before] => 1.08260000
            [low_after] => 1.08450000
            [is_new_high] => 1
            [is_new_low] => 
        )

)