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Trade

buy - WIF

Status
win
2025-05-12 11:10:42
1 hour
PNL
3.69
Entry: 1.1101
Last: 1.15100000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.3367
Prediction 1 Probability
Strong Trade
n/a
Prediction 2 Probability
0 n/a
Prediction 3 Probability
n/a
ML Trade Score: 60
ML Pullback Score: 5.25

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.01833226124
Details
  1. score: 2.05
  2. 1H
  3. ema9 - 1.15315
  4. ema21 - 1.10102
  5. ema50 - 1.0004
  6. price_ema9_diff - -0.0391004
  7. ema9_ema21_diff - 0.0473402
  8. ema21_ema50_diff - 0.10058
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.548893
  12. kc_percentage - 0.51948
  13. kc_width_percentage - 0.206243
    14. ¸
  14. 15m
  15. ema9 - 1.156
  16. ema21 - 1.17759
  17. ema50 - 1.15199
  18. price_ema9_diff - -0.0389786
  19. ema9_ema21_diff - -0.0183355
  20. ema21_ema50_diff - 0.022218
  21. all_emas_in_trend - False
  22. all_emas_and_price_in_trend - False
  23. rsi - 0.355091
  24. kc_percentage - 0.0262044
  25. kc_width_percentage - 0.127155
    26. ¸
  26. 5m
  27. ema9 - 1.13001
  28. ema21 - 1.15248
  29. ema50 - 1.1781
  30. price_ema9_diff - -0.0172817
  31. ema9_ema21_diff - -0.0194936
  32. ema21_ema50_diff - -0.0217498
  33. all_emas_in_trend - True
  34. all_emas_and_price_in_trend - True
  35. rsi - 0.283284
  36. kc_percentage - -0.0485939
  37. kc_width_percentage - 0.0673572
    38. ¸
  38. btc_indicators
  39. btc_indicators
  40. 5m_ema100: 103990
  41. 5m_price_ema100_diff: -0.0105709
  42. 5m_price: 102891
  43. 5m_correlation_with_coin: 0.492937
  44. btc_indicators
  45. 15m_ema100: 104041
  46. 15m_price_ema100_diff: -0.0110566
  47. 15m_price: 102891
  48. btc_indicators
  49. 1H_ema100: 103080
  50. 1H_price_ema100_diff: -0.00183044
  51. 1H_price: 102891
    52. ¸

Long Trade on WIF

The 12 May 2025 at 11:10:42

With 290.9261 WIF at 1.1101$ per unit.

Position size of 322.9571 $

Take profit at 1.1513 (3.71 %) and Stop Loss at 1.0826 (2.48 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 33.5 %

Symbol Start at Seach Score Trade Score Trades Count
MOODENG 2025-07-03 00:46:58 0.981 140 1
HBAR 2025-08-12 22:08:58 0.9677 90 1
DOG 2025-05-23 02:52:08 0.9675 40 1
CTSI 2025-08-16 19:11:22 0.9664 -35 2
TOSHI 2025-08-09 09:53:51 0.9664 -20 2
AI 2025-08-12 22:10:56 0.9667 70 1
ACT 2025-07-03 00:01:45 0.9665 60 1
SUI 2025-08-12 22:09:12 0.9663 50 1
WIF 2025-04-12 23:31:07 0.966 -100 1
GRIFFAIN 2025-07-03 00:02:44 0.9656 40 1

📌 Time Data

Start at Closed at Duration
12 May 2025
11:10:42		 12 May 2025
12:15:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.1101 1.0826 1.1513 1.5 0.9029
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 1.1101
  • Stop Loss: 1.0826
  • Take Profit: 1.1513

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0826 - 1.1101 = -0.0275

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.1101 - 1.1513 = -0.0412

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0412 / -0.0275 = 1.4982

📌 Position Size

Amount Margin Quantity Leverage
322.9571 100 290.9261 3.23
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 -0.0275

Taille de position = 8 / -0.0275 = -290.91

Taille de position USD = -290.91 x 1.1101 = -322.94

Donc, tu peux acheter -290.91 avec un stoploss a 1.0826

Avec un position size USD de -322.94$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -290.91 x -0.0275 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -290.91 x -0.0412 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position -290.91
  • Taille de position USD -322.94
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4982

📌 Peformances

TP % Target TP $ Target
3.71 % 11.99 $
SL % Target SL $ Target
2.48 % 8 $
PNL PNL %
11.93 $ 3.69
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.164
            [stop_loss] => 1.083
            [rr_ratio] => 2
            [closed_at] => 2025-05-12 12:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.1775
            [stop_loss] => 1.083
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-12 12:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.191
            [stop_loss] => 1.083
            [rr_ratio] => 3
            [closed_at] => 2025-05-12 12:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.2045
            [stop_loss] => 1.083
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.218
            [stop_loss] => 1.083
            [rr_ratio] => 4
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.2315
            [stop_loss] => 1.083
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.245
            [stop_loss] => 1.083
            [rr_ratio] => 5
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.2585
            [stop_loss] => 1.083
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.272
            [stop_loss] => 1.083
            [rr_ratio] => 6
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.2855
            [stop_loss] => 1.083
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.299
            [stop_loss] => 1.083
            [rr_ratio] => 7
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0833
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 1.19340000
            [low] => 1.11380000
            [mfe_pct] => 7.5
            [mae_pct] => -0.33
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-12T11:10:42-04:00
            [end_at] => 2025-05-12T13:10:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0833
            [max_drawdown] => 0.0398
            [rr_ratio] => 2.09
            [high] => 1.19340000
            [low] => 1.07030000
            [mfe_pct] => 7.5
            [mae_pct] => 3.59
            [mfe_mae_ratio] => 2.09
            [candles_analyzed] => 72
            [start_at] => 2025-05-12T11:10:42-04:00
            [end_at] => 2025-05-12T17:10:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.22680000
            [high_after] => 1.19340000
            [low_before] => 1.10400000
            [low_after] => 1.07030000
            [is_new_high] => 
            [is_new_low] => 
        )

)