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Trade

buy - FLM

Status
win
2025-06-02 23:35:27
1 hour
PNL
1.36
Entry: 0.03533
Last: 0.03581000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.7864
Prediction 1 Accuracy
Strong Trade
0.59
Prediction 2 Accuracy
0 0.37
ML Trade Score: 50

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0002120567116
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 0.0354423
  4. ema21 - 0.0346302
  5. ema50 - 0.0343362
  6. ema100 - 0.0362508
  7. price_ema9_diff - -0.00317087
  8. ema9_ema21_diff - 0.0234515
  9. ema21_ema50_diff - 0.00856186
  10. price_ema100_diff - -0.0254012
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.570414
  14. kc_percentage - 0.643101
  15. kc_width_percentage - 0.127336
    16. ¸
  16. 15m
  17. ema9 - 0.0357266
  18. ema21 - 0.0356779
  19. ema50 - 0.0351607
  20. ema100 - 0.0342047
  21. price_ema9_diff - -0.0111014
  22. ema9_ema21_diff - 0.00136379
  23. ema21_ema50_diff - 0.0147111
  24. price_ema100_diff - 0.0328978
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.455611
  28. kc_percentage - 0.294246
  29. kc_width_percentage - 0.0492114
    30. ¸
  30. 5m
  31. ema9 - 0.0356261
  32. ema21 - 0.0357581
  33. ema50 - 0.0357377
  34. ema100 - 0.0356053
  35. price_ema9_diff - -0.00831255
  36. ema9_ema21_diff - -0.00369086
  37. ema21_ema50_diff - 0.000568915
  38. price_ema100_diff - -0.00773227
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.366334
  42. kc_percentage - -0.00755214
  43. kc_width_percentage - 0.0236595
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 105528
  47. 5m_price_ema100_diff: -2.82149E-5
  48. 5m_price: 105525
  49. 5m_correlation_with_coin: 0.44352
  50. btc_indicators
  51. 15m_ema100: 105098
  52. 15m_price_ema100_diff: 0.0040654
  53. 15m_price: 105525
  54. btc_indicators
  55. 1H_ema100: 104750
  56. 1H_price_ema100_diff: 0.00739506
  57. 1H_price: 105525
    58. ¸

Long Trade on FLM

The 02 Jun 2025 at 23:35:27

With 25150 FLM at 0.03533$ per unit.

Position size of 888.6 $

Take profit at 0.03581 (1.4 %) and Stop Loss at 0.03501 (0.91 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -30 %

Symbol Start at Seach Score Trade Score Trades Count
POL 2025-05-14 03:29:44 0.9328 -100 3
ATOM 2025-07-10 06:04:39 0.9273 -30 2
APE 2025-07-10 06:12:36 0.9277 50 1
STX 2025-07-10 06:13:46 0.92 30 1
EOS 2025-04-01 14:26:29 0.9192 -90 1
CTK 2025-06-29 17:46:32 0.9162 40 1
PENGU 2025-06-07 11:15:53 0.9158 -100 1
SOL 2025-04-19 12:40:23 0.9144 40 1
RSR 2025-07-20 02:20:31 0.9142 -100 1
COMP 2025-07-10 07:18:58 0.9127 -100 1
KAVA 2025-05-31 13:47:38 0.9101 30 1

📌 Time Data

Start at Closed at Duration
02 Jun 2025
23:35:27		 03 Jun 2025
01:30:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03533 0.03501 0.03581 1.5 0.03326
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 0.03533
  • Stop Loss: 0.03501
  • Take Profit: 0.03581

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03501 - 0.03533 = -0.00032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03533 - 0.03581 = -0.00048

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00048 / -0.00032 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
888.6 100 25150 8.89
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 -0.00032

Taille de position = 8 / -0.00032 = -25000

Taille de position USD = -25000 x 0.03533 = -883.25

Donc, tu peux acheter -25000 avec un stoploss a 0.03501

Avec un position size USD de -883.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -25000 x -0.00032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -25000 x -0.00048 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -25000
  • Taille de position USD -883.25
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.4 % 12 $
SL % Target SL $ Target
0.91 % 8 $
PNL PNL %
12 $ 1.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.67930936880837 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.03597
            [stop_loss] => 0.03501
            [rr_ratio] => 2
            [closed_at] => 2025-06-03 01:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.03613
            [stop_loss] => 0.03501
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-03 01:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.03629
            [stop_loss] => 0.03501
            [rr_ratio] => 3
            [closed_at] => 2025-06-03 04:15:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.03645
            [stop_loss] => 0.03501
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-03 04:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.03661
            [stop_loss] => 0.03501
            [rr_ratio] => 4
            [closed_at] => 2025-06-03 04:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.03677
            [stop_loss] => 0.03501
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-03 04:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.03693
            [stop_loss] => 0.03501
            [rr_ratio] => 5
            [closed_at] => 2025-06-03 04:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.03709
            [stop_loss] => 0.03501
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-03 04:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.03725
            [stop_loss] => 0.03501
            [rr_ratio] => 6
            [closed_at] => 2025-06-03 04:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.03741
            [stop_loss] => 0.03501
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-03 04:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.03757
            [stop_loss] => 0.03501
            [rr_ratio] => 7
            [closed_at] => 2025-06-03 04:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)