Trade

buy - WIF

Status
win
2025-05-12 11:05:37
1 hour
PNL
3.77
Entry: 1.1154
Last: 1.15700000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.6634
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
0 n/a
Prediction 3 Probability
n/a
ML Trade Score: 50
ML Pullback Score: 5.04

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.01863326697
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 1.15421
  4. ema21 - 1.1015
  5. ema50 - 1.00061
  6. price_ema9_diff - -0.035234
  7. ema9_ema21_diff - 0.0478444
  8. ema21_ema50_diff - 0.100833
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.556464
  12. kc_percentage - 0.540425
  13. kc_width_percentage - 0.205263
  14. ¸
  15. 15m
  16. ema9 - 1.15706
  17. ema21 - 1.17807
  18. ema50 - 1.1522
  19. price_ema9_diff - -0.0353636
  20. ema9_ema21_diff - -0.0178372
  21. ema21_ema50_diff - 0.0224518
  22. all_emas_in_trend - False
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.363164
  25. kc_percentage - 0.0601758
  26. kc_width_percentage - 0.126551
  27. ¸
  28. 5m
  29. ema9 - 1.13593
  30. ema21 - 1.15714
  31. ema50 - 1.1808
  32. price_ema9_diff - -0.0177471
  33. ema9_ema21_diff - -0.0183307
  34. ema21_ema50_diff - -0.0200372
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.309318
  38. kc_percentage - -0.0270808
  39. kc_width_percentage - 0.068863
  40. ¸
  41. btc_indicators
  42. btc_indicators
  43. 5m_ema100: 104002
  44. 5m_price_ema100_diff: -0.0120791
  45. 5m_price: 102746
  46. 5m_correlation_with_coin: 0.490496
  47. btc_indicators
  48. 15m_ema100: 104038
  49. 15m_price_ema100_diff: -0.0124268
  50. 15m_price: 102746
  51. btc_indicators
  52. 1H_ema100: 103077
  53. 1H_price_ema100_diff: -0.00321315
  54. 1H_price: 102746
  55. ¸

Long Trade on WIF

The 12 May 2025 at 11:05:37

With 286.2264 WIF at 1.1154$ per unit.

Position size of 319.257 $

Take profit at 1.1573 (3.76 %) and Stop Loss at 1.0875 (2.5 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 27.27 %

Symbol Start at Seach Score Trade Score Trades Count
MOODENG 2025-07-03 00:46:58 0.9814 140 1
HBAR 2025-08-12 22:08:58 0.9696 90 1
TOSHI 2025-08-09 09:53:51 0.9675 -20 2
ACT 2025-07-03 00:01:45 0.9693 60 1
AI 2025-08-12 22:10:56 0.9674 70 1
CTSI 2025-08-16 19:08:50 0.9668 30 1
DOG 2025-05-23 02:52:08 0.9666 40 1
SUI 2025-08-12 22:09:12 0.9664 50 1
GRIFFAIN 2025-07-03 00:02:44 0.9663 40 1
WIF 2025-04-12 23:31:07 0.9663 -100 1
PONKE 2025-05-13 19:57:36 0.9653 -100 1

📌 Time Data

Start at Closed at Duration
12 May 2025
11:05:37
12 May 2025
12:15:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.1154 1.0875 1.1573 1.5 0.904
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 1.1154
  • Stop Loss: 1.0875
  • Take Profit: 1.1573

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0875 - 1.1154 = -0.0279

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.1154 - 1.1573 = -0.0419

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0419 / -0.0279 = 1.5018

📌 Position Size

Amount Margin Quantity Leverage
319.257 100 286.2264 3.19
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 -0.0279

Taille de position = 8 / -0.0279 = -286.74

Taille de position USD = -286.74 x 1.1154 = -319.83

Donc, tu peux acheter -286.74 avec un stoploss a 1.0875

Avec un position size USD de -319.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -286.74 x -0.0279 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -286.74 x -0.0419 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position -286.74
  • Taille de position USD -319.83
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5018

📌 Peformances

TP % Target TP $ Target
3.76 % 11.99 $
SL % Target SL $ Target
2.5 % 7.99 $
PNL PNL %
12.03 $ 3.77
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8340807174888 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.171
            [stop_loss] => 1.087
            [rr_ratio] => 2
            [closed_at] => 2025-05-12 12:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.185
            [stop_loss] => 1.087
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-12 12:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.199
            [stop_loss] => 1.087
            [rr_ratio] => 3
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [3.5] => Array
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            [take_profit] => 1.213
            [stop_loss] => 1.087
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.227
            [stop_loss] => 1.087
            [rr_ratio] => 4
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.241
            [stop_loss] => 1.087
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.255
            [stop_loss] => 1.087
            [rr_ratio] => 5
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.269
            [stop_loss] => 1.087
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.283
            [stop_loss] => 1.087
            [rr_ratio] => 6
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.297
            [stop_loss] => 1.087
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-12 14:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.311
            [stop_loss] => 1.087
            [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] => 0.078
            [max_drawdown] => 0.0097
            [rr_ratio] => 8.04
            [high] => 1.19340000
            [low] => 1.10570000
            [mfe_pct] => 6.99
            [mae_pct] => 0.87
            [mfe_mae_ratio] => 8.04
            [candles_analyzed] => 24
            [start_at] => 2025-05-12T11:05:37-04:00
            [end_at] => 2025-05-12T13:05:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.078
            [max_drawdown] => 0.0451
            [rr_ratio] => 1.73
            [high] => 1.19340000
            [low] => 1.07030000
            [mfe_pct] => 6.99
            [mae_pct] => 4.04
            [mfe_mae_ratio] => 1.73
            [candles_analyzed] => 72
            [start_at] => 2025-05-12T11:05:37-04:00
            [end_at] => 2025-05-12T17:05:37-04:00
        )

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

)