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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: ema9 - 0.0354423
  3. 1H: ema21 - 0.0346302
  4. 1H: ema50 - 0.0343362
  5. 1H: ema100 - 0.0362508
  6. 1H: price_ema9_diff - -0.00317087
  7. 1H: ema9_ema21_diff - 0.0234515
  8. 1H: ema21_ema50_diff - 0.00856186
  9. 1H: price_ema100_diff - -0.0254012
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.570414
  13. 1H: kc_percentage - 0.643101
  14. 1H: kc_width_percentage - 0.127336
    15. ¸
  15. 15m: ema9 - 0.0357266
  16. 15m: ema21 - 0.0356779
  17. 15m: ema50 - 0.0351607
  18. 15m: ema100 - 0.0342047
  19. 15m: price_ema9_diff - -0.0111014
  20. 15m: ema9_ema21_diff - 0.00136379
  21. 15m: ema21_ema50_diff - 0.0147111
  22. 15m: price_ema100_diff - 0.0328978
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.455611
  26. 15m: kc_percentage - 0.294246
  27. 15m: kc_width_percentage - 0.0492114
    28. ¸
  28. 5m: ema9 - 0.0356261
  29. 5m: ema21 - 0.0357581
  30. 5m: ema50 - 0.0357377
  31. 5m: ema100 - 0.0356053
  32. 5m: price_ema9_diff - -0.00831255
  33. 5m: ema9_ema21_diff - -0.00369086
  34. 5m: ema21_ema50_diff - 0.000568915
  35. 5m: price_ema100_diff - -0.00773227
  36. 5m: all_emas_in_trend - False
  37. 5m: all_emas_and_price_in_trend - False
  38. 5m: rsi - 0.366334
  39. 5m: kc_percentage - -0.00755214
  40. 5m: kc_width_percentage - 0.0236595
    41. ¸

Long Trade on FLM

The 02 Jun 2025 at 23:35:27

With 888.6 FLM at 0.03533$ per unit.

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: -29.5 %

Symbol Start at Seach Score Trade Score Trades Count
POL 2025-05-14 03:35:47 0.9254 -100 4
EOS 2025-04-01 14:30:32 0.9137 -85 2
SOL 2025-04-19 12:40:23 0.9145 40 1
KAVA 2025-05-31 13:47:38 0.9103 30 1
TON 2025-04-01 00:23:48 0.9092 70 1
KAS 2025-04-14 22:21:16 0.9078 -60 1
ETH 2025-05-07 09:30:14 0.9073 80 1
ALPACA 2025-04-26 21:31:53 0.9048 -100 1
FET 2025-04-24 22:53:02 0.9019 -70 1
DOT 2025-05-14 03:26:30 0.9019 -100 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 0.03912
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 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.36 -0.67930936880837

📌 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
        )

)
Extra SL data

                              Array
(
)