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Trade

buy - FLOKI

Status
win
2025-07-16 23:51:20
1 hour
PNL
2.59
Entry: 0.0001234
Last: 0.00012660

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.1286
Prediction 1 Accuracy
Weak Trade
0.73
Prediction 2 Accuracy
0 0.6
ML Trade Score: 130

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 1.450148861E-6
Details
  1. score: 2.22
  2. 1H
  3. ema9 - 0.000127266
  4. ema21 - 0.000119953
  5. ema50 - 0.000110339
  6. ema100 - 0.000104633
  7. price_ema9_diff - -0.0305405
  8. ema9_ema21_diff - 0.0609709
  9. ema21_ema50_diff - 0.0871256
  10. price_ema100_diff - 0.179166
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.584762
  14. kc_percentage - 0.626558
  15. kc_width_percentage - 0.184755
  16. volume_ema_diff - 1.09978
  17. volume_ema1 - 9230486.6597971
  18. volume_ema2 - 4395930.1398722
    19. ¸
  19. 15m
  20. ema9 - 0.000127747
  21. ema21 - 0.000129263
  22. ema50 - 0.000125309
  23. ema100 - 0.000118059
  24. price_ema9_diff - -0.034191
  25. ema9_ema21_diff - -0.0117225
  26. ema21_ema50_diff - 0.0315515
  27. price_ema100_diff - 0.0450648
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.379876
  31. kc_percentage - -0.00755221
  32. kc_width_percentage - 0.0941414
  33. volume_ema_diff - 0.0463159
  34. volume_ema1 - 2149933.3134154
  35. volume_ema2 - 2054764.9291647
    36. ¸
  36. 5m
  37. ema9 - 0.000125483
  38. ema21 - 0.00012761
  39. ema50 - 0.000129562
  40. ema100 - 0.000129139
  41. price_ema9_diff - -0.0167655
  42. ema9_ema21_diff - -0.016663
  43. ema21_ema50_diff - -0.0150666
  44. price_ema100_diff - -0.0445974
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.253201
  48. kc_percentage - -0.216592
  49. kc_width_percentage - 0.0463796
  50. volume_ema_diff - 0.199842
  51. volume_ema1 - 940401.74623612
  52. volume_ema2 - 783771.30575156
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 118597
  56. 5m_price_ema100_diff: -0.00497326
  57. 5m_price: 118008
  58. 5m_correlation_with_coin: 0.365464
  59. btc_indicators
  60. 15m_ema100: 118550
  61. 15m_price_ema100_diff: -0.00457797
  62. 15m_price: 118008
  63. btc_indicators
  64. 1H_ema100: 118392
  65. 1H_price_ema100_diff: -0.00325064
  66. 1H_price: 118008
    67. ¸

Long Trade on FLOKI

The 16 Jul 2025 at 23:51:20

With 3678000 FLOKI at 0.0001234$ per unit.

Position size of 453.8 $

Take profit at 0.0001266 (2.6 %) and Stop Loss at 0.0001212 (1.8 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -32 %

Symbol Start at Seach Score Trade Score Trades Count
AUCTION 2025-04-06 04:16:13 0.9829 -100 4
COMP 2025-06-06 09:52:40 0.9776 -100 4
PYTH 2025-06-30 02:00:13 0.9759 -100 1
UXLINK 2025-04-10 02:08:25 0.9749 80 1
APE 2025-06-04 09:55:03 0.9747 60 1

📌 Time Data

Start at Closed at Duration
16 Jul 2025
23:51:20		 17 Jul 2025
01:20:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0001234 0.0001212 0.0001266 1.5 0.000145
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 0.0001234
  • Stop Loss: 0.0001212
  • Take Profit: 0.0001266

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0001212 - 0.0001234 = -2.2E-6

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0001234 - 0.0001266 = -3.2E-6

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -3.2E-6 / -2.2E-6 = 1.4545

📌 Position Size

Amount Margin Quantity Leverage
453.8 100 3678000 4.54
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 -2.2E-6

Taille de position = 8 / -2.2E-6 = -3636363.64

Taille de position USD = -3636363.64 x 0.0001234 = -448.73

Donc, tu peux acheter -3636363.64 avec un stoploss a 0.0001212

Avec un position size USD de -448.73$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3636363.64 x -2.2E-6 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3636363.64 x -3.2E-6 = 11.64

Si Take Profit atteint, tu gagneras 11.64$

Résumé

  • Taille de position -3636363.64
  • Taille de position USD -448.73
  • Perte potentielle 8
  • Gain potentiel 11.64
  • Risk-Reward Ratio 1.4545

📌 Peformances

TP % Target TP $ Target
2.6 % 12 $
SL % Target SL $ Target
1.8 % 8.1 $
PNL PNL %
12 $ 2.59
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1702 % 9.55 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0001278
            [stop_loss] => 0.0001212
            [rr_ratio] => 2
            [closed_at] => 2025-07-17 01:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0001289
            [stop_loss] => 0.0001212
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-17 01:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.00013
            [stop_loss] => 0.0001212
            [rr_ratio] => 3
            [closed_at] => 2025-07-17 01:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.0001311
            [stop_loss] => 0.0001212
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-17 01:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.0001322
            [stop_loss] => 0.0001212
            [rr_ratio] => 4
            [closed_at] => 2025-07-17 01:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.0001333
            [stop_loss] => 0.0001212
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-17 01:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.0001344
            [stop_loss] => 0.0001212
            [rr_ratio] => 5
            [closed_at] => 2025-07-17 02:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.0001355
            [stop_loss] => 0.0001212
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-17 03:55:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.0001366
            [stop_loss] => 0.0001212
            [rr_ratio] => 6
            [closed_at] => 2025-07-17 04:00:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.0001377
            [stop_loss] => 0.0001212
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-17 04:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)