Trade

sell - FIL

Status
win
2025-08-02 07:31:47
28 minutes
PNL
0.71
Entry: 2.317
Last: 2.30060000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.3773
Prediction 1 Probability
Weak Trade
0.93
Prediction 2 Probability
0 0.87
Prediction 3 Probability
0 0.72
ML Trade Score: 110
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.007292418595
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 2.31025
  4. ema21 - 2.32062
  5. ema50 - 2.36596
  6. ema100 - 2.4336
  7. price_ema9_diff - 0.00291778
  8. ema9_ema21_diff - -0.00446601
  9. ema21_ema50_diff - -0.0191629
  10. price_ema100_diff - -0.0479125
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.472159
  14. adx - 0.560624
  15. kc_percentage - 0.481297
  16. kc_width_percentage - 0.0552166
  17. volume_ema_diff - -0.658107
  18. volume_ema1 - 203436.61024919
  19. volume_ema2 - 595030.90281727
  20. ¸
  21. 15m
  22. ema9 - 2.30386
  23. ema21 - 2.30435
  24. ema50 - 2.30919
  25. ema100 - 2.3165
  26. price_ema9_diff - 0.00569962
  27. ema9_ema21_diff - -0.000212938
  28. ema21_ema50_diff - -0.00209406
  29. price_ema100_diff - 0.000211905
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.548366
  33. adx - 0.236137
  34. kc_percentage - 0.735203
  35. kc_width_percentage - 0.0234925
  36. volume_ema_diff - -0.561735
  37. volume_ema1 - 37415.853594303
  38. volume_ema2 - 85372.825719827
  39. ¸
  40. 5m
  41. ema9 - 2.30434
  42. ema21 - 2.30063
  43. ema50 - 2.30232
  44. ema100 - 2.30708
  45. price_ema9_diff - 0.00549206
  46. ema9_ema21_diff - 0.00161049
  47. ema21_ema50_diff - -0.000731021
  48. price_ema100_diff - 0.00429817
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.61503
  52. adx - 0.204164
  53. kc_percentage - 1.04778
  54. kc_width_percentage - 0.0128307
  55. volume_ema_diff - -0.242567
  56. volume_ema1 - 14053.69877615
  57. volume_ema2 - 18554.389155684
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 113698
  62. 5m_price_ema100_diff: 0.00100726
  63. 5m_price: 113812
  64. 5m_correlation_with_coin: 0.732581
  65. btc_indicators
  66. 15m_ema100: 113964
  67. 15m_price_ema100_diff: -0.00133296
  68. 15m_price: 113812
  69. btc_indicators
  70. 1H_ema100: 116138
  71. 1H_price_ema100_diff: -0.0200222
  72. 1H_price: 113812
  73. ¸

Short Trade on FIL

The 02 Aug 2025 at 07:31:47

With 731.3532 FIL at 2.317$ per unit.

Position size of 1694.5453 $

Take profit at 2.3006 (0.71 %) and Stop Loss at 2.3279 (0.47 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 20 %

Symbol Start at Seach Score Trade Score Trades Count
ORDI 2025-08-02 07:33:30 0.9436 30 1
ATOM 2025-08-02 07:31:59 0.917 30 1
NEAR 2025-08-02 07:32:24 0.8919 30 1
SOL 2025-08-02 07:39:31 0.7999 30 2
ICP 2025-08-02 07:31:30 0.8757 30 1
TURBO 2025-08-02 07:33:21 0.8656 30 1
AAVE 2025-08-02 07:31:38 0.8257 30 1
OP 2025-08-02 07:32:40 0.8174 30 1
LDO 2025-08-02 07:32:55 0.7623 30 1
MOVE 2025-08-02 07:35:11 0.754 40 1
TRX 2025-05-30 15:33:45 0.7016 -100 2
SWARMS 2025-08-02 07:35:38 0.7023 30 1

📌 Time Data

Start at Closed at Duration
02 Aug 2025
07:31:47
02 Aug 2025
08:00:00
28 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.317 2.3279 2.3006 1.5 2.395
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 2.317
  • Stop Loss: 2.3279
  • Take Profit: 2.3006

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.3279 - 2.317 = 0.0109

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.317 - 2.3006 = 0.0164

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0164 / 0.0109 = 1.5046

📌 Position Size

Amount Margin Quantity Leverage
1694.5453 100 731.3532 16.95
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 0.0109

Taille de position = 8 / 0.0109 = 733.94

Taille de position USD = 733.94 x 2.317 = 1700.54

Donc, tu peux acheter 733.94 avec un stoploss a 2.3279

Avec un position size USD de 1700.54$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 733.94 x 0.0109 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 733.94 x 0.0164 = 12.04

Si Take Profit atteint, tu gagneras 12.04$

Résumé

  • Taille de position 733.94
  • Taille de position USD 1700.54
  • Perte potentielle 8
  • Gain potentiel 12.04
  • Risk-Reward Ratio 1.5046

📌 Peformances

TP % Target TP $ Target
0.71 % 11.99 $
SL % Target SL $ Target
0.47 % 7.97 $
PNL PNL %
11.99 $ 0.71
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.2952
            [stop_loss] => 2.3279
            [rr_ratio] => 2
            [closed_at] => 2025-08-02 08:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.28975
            [stop_loss] => 2.3279
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-02 08:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.2843
            [stop_loss] => 2.3279
            [rr_ratio] => 3
            [closed_at] => 2025-08-02 10:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.27885
            [stop_loss] => 2.3279
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-02 10:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.2734
            [stop_loss] => 2.3279
            [rr_ratio] => 4
            [closed_at] => 2025-08-02 11:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.26795
            [stop_loss] => 2.3279
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-02 12:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.2625
            [stop_loss] => 2.3279
            [rr_ratio] => 5
            [closed_at] => 2025-08-02 12:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.25705
            [stop_loss] => 2.3279
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-02 12:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.029
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.31500000
            [low] => 2.28800000
            [mfe_pct] => 1.25
            [mae_pct] => -0.09
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-02T07:31:47-04:00
            [end_at] => 2025-08-02T09:31:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.088
            [max_drawdown] => 0.004
            [rr_ratio] => 22
            [high] => 2.32100000
            [low] => 2.22900000
            [mfe_pct] => 3.8
            [mae_pct] => 0.17
            [mfe_mae_ratio] => 22
            [candles_analyzed] => 84
            [start_at] => 2025-08-02T07:31:47-04:00
            [end_at] => 2025-08-02T14:31:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.32700000
            [high_after] => 2.32100000
            [low_before] => 2.28200000
            [low_after] => 2.25500000
            [is_new_high] => 
            [is_new_low] => 1
        )

)