Web3Way Logo

Trade

buy - FLOKI

Status
loss
2025-05-13 18:12:20
17 minutes
PNL
-0.87
Entry: 0.0001152
Last: 0.00011420

Results

Status:
loss
Trade Type:
buy
Prediction Score: 1.2285
Prediction 1 Probability
Weak Trade
0.55
Prediction 2 Probability
0 0.49
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 0.39

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 6.946137923E-7
Details
  1. score: 2.04
  2. 1H
  3. ema9 - 0.000115618
  4. ema21 - 0.000113883
  5. ema50 - 0.000111754
  6. ema100 - 0.00010884
  7. price_ema9_diff - -0.00362078
  8. ema9_ema21_diff - 0.0152353
  9. ema21_ema50_diff - 0.0190543
  10. price_ema100_diff - 0.0584326
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.544755
  14. kc_percentage - 0.598097
  15. kc_width_percentage - 0.107676
    16. ¸
  16. 15m
  17. ema9 - 0.000116724
  18. ema21 - 0.000116717
  19. ema50 - 0.000115126
  20. ema100 - 0.000113421
  21. price_ema9_diff - -0.0130616
  22. ema9_ema21_diff - 6.18507E-5
  23. ema21_ema50_diff - 0.0138218
  24. price_ema100_diff - 0.0156832
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.436582
  28. kc_percentage - 0.224649
  29. kc_width_percentage - 0.0490625
    30. ¸
  30. 5m
  31. ema9 - 0.000116081
  32. ema21 - 0.000116738
  33. ema50 - 0.000116975
  34. ema100 - 0.000116263
  35. price_ema9_diff - -0.00759624
  36. ema9_ema21_diff - -0.00562494
  37. ema21_ema50_diff - -0.00202345
  38. price_ema100_diff - -0.00915025
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.34597
  42. kc_percentage - -0.0425748
  43. kc_width_percentage - 0.0240563
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 104146
  47. 5m_price_ema100_diff: 0.000134375
  48. 5m_price: 104160
  49. 5m_correlation_with_coin: 0.61866
  50. btc_indicators
  51. 15m_ema100: 103418
  52. 15m_price_ema100_diff: 0.00716855
  53. 15m_price: 104160
  54. btc_indicators
  55. 1H_ema100: 103459
  56. 1H_price_ema100_diff: 0.00677353
  57. 1H_price: 104160
    58. ¸

Long Trade on FLOKI

The 13 May 2025 at 18:12:20

With 7678127.6048 FLOKI at 0.0001152$ per unit.

Position size of 884.5203 $

Take profit at 0.0001168 (1.39 %) and Stop Loss at 0.0001142 (0.87 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -15.83 %

Symbol Start at Seach Score Trade Score Trades Count
AI16Z 2025-06-01 22:42:34 0.9589 -35 4
MELANIA 2025-07-11 03:57:39 0.9598 80 1
ARC 2025-07-05 08:04:45 0.9556 -100 2
APE 2025-05-13 18:07:17 0.9562 30 1
AVAX 2025-08-04 23:12:42 0.9516 -100 2
LUMIA 2025-05-07 00:04:50 0.9501 30 2

📌 Time Data

Start at Closed at Duration
13 May 2025
18:12:20		 13 May 2025
18:30:00		 17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0001152 0.0001142 0.0001168 1.6 0.0001018
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 0.0001152
  • Stop Loss: 0.0001142
  • Take Profit: 0.0001168

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0001142 - 0.0001152 = -1.0E-6

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0001152 - 0.0001168 = -1.6E-6

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1.6E-6 / -1.0E-6 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
884.5203 100 7678127.6048 8.85
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 -1.0E-6

Taille de position = 8 / -1.0E-6 = -8000000

Taille de position USD = -8000000 x 0.0001152 = -921.6

Donc, tu peux acheter -8000000 avec un stoploss a 0.0001142

Avec un position size USD de -921.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8000000 x -1.0E-6 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8000000 x -1.6E-6 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position -8000000
  • Taille de position USD -921.6
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
1.39 % 12.29 $
SL % Target SL $ Target
0.87 % 7.68 $
PNL PNL %
-7.68 $ -0.87
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.92013888888888 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0001168
            [entry_price] => 0.0001152
            [stop_loss] => 0.0001141
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-13 18:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0001168
            [entry_price] => 0.0001152
            [stop_loss] => 0.000114
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-13 19:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0001168
            [entry_price] => 0.0001152
            [stop_loss] => 0.0001139
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-13 19:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0001168
            [entry_price] => 0.0001152
            [stop_loss] => 0.0001137
            [rr_ratio] => 1.07
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-13 19:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 6.9000000000001E-7
            [max_drawdown] => 1.97E-6
            [rr_ratio] => 0.35
            [high] => 0.00011589
            [low] => 0.00011323
            [mfe_pct] => 0.6
            [mae_pct] => 1.71
            [mfe_mae_ratio] => 0.35
            [candles_analyzed] => 24
            [start_at] => 2025-05-13T18:12:20-04:00
            [end_at] => 2025-05-13T20:12:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 6.9000000000001E-7
            [max_drawdown] => 3.63E-6
            [rr_ratio] => 0.19
            [high] => 0.00011589
            [low] => 0.00011157
            [mfe_pct] => 0.6
            [mae_pct] => 3.15
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 72
            [start_at] => 2025-05-13T18:12:20-04:00
            [end_at] => 2025-05-14T00:12:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00011976
            [high_after] => 0.00011589
            [low_before] => 0.00011461
            [low_after] => 0.00011157
            [is_new_high] => 
            [is_new_low] => 
        )

)