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Trade

buy - FLM

Status
win
2025-05-28 04:31:30
4 hours
PNL
3.07
Entry: 0.04879
Last: 0.05029000

Results

Status:
win
Trade Type:
buy
Prediction Score: -4.6409
Prediction 1 Accuracy
Weak Trade
0.77
Prediction 2 Accuracy
0 0.49
ML Trade Score: 30
ML Pullback Score: 3.96

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.0006668600924
Details
  1. score: 2.2
  2. 1H
  3. ema9 - 0.0490793
  4. ema21 - 0.0480634
  5. ema50 - 0.0465599
  6. ema100 - 0.043984
  7. price_ema9_diff - -0.0058949
  8. ema9_ema21_diff - 0.0211362
  9. ema21_ema50_diff - 0.0322923
  10. price_ema100_diff - 0.109264
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.545921
  14. kc_percentage - 0.582439
  15. kc_width_percentage - 0.165958
    16. ¸
  16. 15m
  17. ema9 - 0.0505438
  18. ema21 - 0.0501554
  19. ema50 - 0.0489192
  20. ema100 - 0.0484245
  21. price_ema9_diff - -0.0346989
  22. ema9_ema21_diff - 0.00774361
  23. ema21_ema50_diff - 0.0252689
  24. price_ema100_diff - 0.00754605
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.437349
  28. kc_percentage - 0.215185
  29. kc_width_percentage - 0.102182
    30. ¸
  30. 5m
  31. ema9 - 0.050256
  32. ema21 - 0.050711
  33. ema50 - 0.0505134
  34. ema100 - 0.0495638
  35. price_ema9_diff - -0.0291722
  36. ema9_ema21_diff - -0.00897152
  37. ema21_ema50_diff - 0.00391262
  38. price_ema100_diff - -0.0156139
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.321954
  42. kc_percentage - -0.204608
  43. kc_width_percentage - 0.0554526
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 108793
  47. 5m_price_ema100_diff: 0.000100704
  48. 5m_price: 108804
  49. 5m_correlation_with_coin: 0.260624
  50. btc_indicators
  51. 15m_ema100: 109116
  52. 15m_price_ema100_diff: -0.00286233
  53. 15m_price: 108804
  54. btc_indicators
  55. 1H_ema100: 108881
  56. 1H_price_ema100_diff: -0.000708424
  57. 1H_price: 108804
    58. ¸

Long Trade on FLM

The 28 May 2025 at 04:31:30

With 7997.6796 FLM at 0.04879$ per unit.

Position size of 390.2068 $

Take profit at 0.05029 (3.07 %) and Stop Loss at 0.04779 (2.05 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -66.25 %

Symbol Start at Seach Score Trade Score Trades Count
JASMY 2025-07-20 17:21:58 0.9702 -35 2
SAFE 2025-05-30 02:18:23 0.9696 -100 1
WCT 2025-05-14 05:17:22 0.9688 -100 1
WLD 2025-05-22 17:05:33 0.967 -35 2
KAS 2025-04-09 19:27:57 0.9662 -100 2
HIPPO 2025-06-23 21:29:49 0.9655 -100 2
TRX 2025-07-18 04:45:23 0.9654 40 1
DOOD 2025-07-21 07:17:25 0.9653 -100 1

📌 Time Data

Start at Closed at Duration
28 May 2025
04:31:30		 28 May 2025
08:35:00		 4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04879 0.04779 0.05029 1.5 0.03117
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 0.04879
  • Stop Loss: 0.04779
  • Take Profit: 0.05029

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04779 - 0.04879 = -0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04879 - 0.05029 = -0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0015 / -0.001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
390.2068 100 7997.6796 3.90
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 -0.001

Taille de position = 8 / -0.001 = -8000

Taille de position USD = -8000 x 0.04879 = -390.32

Donc, tu peux acheter -8000 avec un stoploss a 0.04779

Avec un position size USD de -390.32$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8000 x -0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8000 x -0.0015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -8000
  • Taille de position USD -390.32
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
3.07 % 12 $
SL % Target SL $ Target
2.05 % 8 $
PNL PNL %
12 $ 3.07
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0657921705267 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00143
            [max_drawdown] => 0.00052
            [rr_ratio] => 2.75
            [high] => 0.05022000
            [low] => 0.04827000
            [mfe_pct] => 2.93
            [mae_pct] => 1.07
            [mfe_mae_ratio] => 2.75
            [candles_analyzed] => 24
            [start_at] => 2025-05-28T04:31:30-04:00
            [end_at] => 2025-05-28T06:31:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00153
            [max_drawdown] => 0.00052
            [rr_ratio] => 2.94
            [high] => 0.05032000
            [low] => 0.04827000
            [mfe_pct] => 3.14
            [mae_pct] => 1.07
            [mfe_mae_ratio] => 2.94
            [candles_analyzed] => 72
            [start_at] => 2025-05-28T04:31:30-04:00
            [end_at] => 2025-05-28T10:31:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05338000
            [high_after] => 0.05032000
            [low_before] => 0.04852000
            [low_after] => 0.04827000
            [is_new_high] => 
            [is_new_low] => 
        )

)