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Trade

buy - FLM

Status
loss
2025-05-27 10:01:10
13 minutes
PNL
-1.19
Entry: 0.0487
Last: 0.04812000

Results

Status:
loss
Trade Type:
buy
Prediction Score: 5.3131
Prediction 1 Probability
Strong Trade
0.54
Prediction 2 Probability
0 0.43
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: -0.01

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0003885023708
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 0.0492202
  4. ema21 - 0.0478137
  5. ema50 - 0.0455502
  6. ema100 - 0.0427589
  7. price_ema9_diff - -0.0105703
  8. ema9_ema21_diff - 0.0294172
  9. ema21_ema50_diff - 0.049692
  10. price_ema100_diff - 0.138942
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.558994
  14. kc_percentage - 0.60312
  15. kc_width_percentage - 0.156891
    16. ¸
  16. 15m
  17. ema9 - 0.0495799
  18. ema21 - 0.0496715
  19. ema50 - 0.0486574
  20. ema100 - 0.0474272
  21. price_ema9_diff - -0.0177485
  22. ema9_ema21_diff - -0.00184439
  23. ema21_ema50_diff - 0.0208432
  24. price_ema100_diff - 0.0268361
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.421591
  28. kc_percentage - 0.164316
  29. kc_width_percentage - 0.0606841
    30. ¸
  30. 5m
  31. ema9 - 0.0491293
  32. ema21 - 0.0495143
  33. ema50 - 0.0497709
  34. ema100 - 0.0494431
  35. price_ema9_diff - -0.00873906
  36. ema9_ema21_diff - -0.00777585
  37. ema21_ema50_diff - -0.00515492
  38. price_ema100_diff - -0.015031
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.319649
  42. kc_percentage - -0.0282001
  43. kc_width_percentage - 0.0307204
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 109562
  47. 5m_price_ema100_diff: 0.00308951
  48. 5m_price: 109900
  49. 5m_correlation_with_coin: 0.204879
  50. btc_indicators
  51. 15m_ema100: 109430
  52. 15m_price_ema100_diff: 0.00429747
  53. 15m_price: 109900
  54. btc_indicators
  55. 1H_ema100: 108901
  56. 1H_price_ema100_diff: 0.00918105
  57. 1H_price: 109900
    58. ¸

Long Trade on FLM

The 27 May 2025 at 10:01:10

With 13727.93 FLM at 0.0487$ per unit.

Position size of 668.5502 $

Take profit at 0.04957 (1.79 %) and Stop Loss at 0.04812 (1.19 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 4.81 %

Symbol Start at Seach Score Trade Score Trades Count
SHIB 2025-07-02 20:25:57 0.9642 50 1
ENS 2025-08-09 09:34:11 0.9642 -100 1
BGB 2025-05-10 07:50:59 0.96 93.33 3
AVAX 2025-04-09 21:35:22 0.9596 30 1
MKR 2025-08-09 09:38:09 0.9578 -100 2
OP 2025-07-02 20:27:41 0.9557 40 1
IMX 2025-04-22 17:11:12 0.9554 100 1
RUNE 2025-07-02 20:27:07 0.9551 30 1
ETHFI 2025-08-09 09:54:32 0.9535 -100 1

📌 Time Data

Start at Closed at Duration
27 May 2025
10:01:10		 27 May 2025
10:15:00		 13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0487 0.04812 0.04957 1.5 0.03355
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 0.0487
  • Stop Loss: 0.04812
  • Take Profit: 0.04957

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04812 - 0.0487 = -0.00058

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0487 - 0.04957 = -0.00087

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00087 / -0.00058 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
668.5502 100 13727.93 6.69
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 -0.00058

Taille de position = 8 / -0.00058 = -13793.1

Taille de position USD = -13793.1 x 0.0487 = -671.72

Donc, tu peux acheter -13793.1 avec un stoploss a 0.04812

Avec un position size USD de -671.72$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -13793.1 x -0.00058 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -13793.1 x -0.00087 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -13793.1
  • Taille de position USD -671.72
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.79 % 11.94 $
SL % Target SL $ Target
1.19 % 7.96 $
PNL PNL %
-7.96 $ -1.19
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5400410677618 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04957
            [entry_price] => 0.0487
            [stop_loss] => 0.048062
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-27 10:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04957
            [entry_price] => 0.0487
            [stop_loss] => 0.048004
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-27 10:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.04957
            [entry_price] => 0.0487
            [stop_loss] => 0.047946
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-27 10:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.04957
            [entry_price] => 0.0487
            [stop_loss] => 0.04783
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-27 10:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -3.0000000000002E-5
            [max_drawdown] => 0.00489
            [rr_ratio] => -0.01
            [high] => 0.04867000
            [low] => 0.04381000
            [mfe_pct] => -0.06
            [mae_pct] => 10.04
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 24
            [start_at] => 2025-05-27T10:01:10-04:00
            [end_at] => 2025-05-27T12:01:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -3.0000000000002E-5
            [max_drawdown] => 0.00489
            [rr_ratio] => -0.01
            [high] => 0.04867000
            [low] => 0.04381000
            [mfe_pct] => -0.06
            [mae_pct] => 10.04
            [mfe_mae_ratio] => -0.01
            [candles_analyzed] => 72
            [start_at] => 2025-05-27T10:01:10-04:00
            [end_at] => 2025-05-27T16:01:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05201000
            [high_after] => 0.04867000
            [low_before] => 0.04842000
            [low_after] => 0.04381000
            [is_new_high] => 
            [is_new_low] => 
        )

)