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Trade

sell - BIGTIME

Status
win
2025-04-07 14:01:51
1 hour
PNL
1.67
Entry: 0.05459
Last: 0.05368000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
ML Trade Score: 30
ML Pullback Score: 3.01

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0004045092684
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 0.0535629
  4. ema21 - 0.0546464
  5. ema50 - 0.0578476
  6. price_ema9_diff - 0.0187949
  7. ema9_ema21_diff - -0.0198275
  8. ema21_ema50_diff - -0.0553395
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.465125
  12. kc_percentage - 0.510045
  13. kc_width_percentage - 0.150612
    14. ¸
  14. 15m
  15. ema9 - 0.0539086
  16. ema21 - 0.0534248
  17. ema50 - 0.0534598
  18. price_ema9_diff - 0.0127531
  19. ema9_ema21_diff - 0.00905507
  20. ema21_ema50_diff - -0.000652924
  21. all_emas_in_trend - False
  22. all_emas_and_price_in_trend - False
  23. rsi - 0.594484
  24. kc_percentage - 0.816856
  25. kc_width_percentage - 0.0656046
    26. ¸
  26. 5m
  27. ema9 - 0.0540754
  28. ema21 - 0.0537616
  29. ema50 - 0.0534084
  30. price_ema9_diff - 0.00957177
  31. ema9_ema21_diff - 0.00583557
  32. ema21_ema50_diff - 0.00661388
  33. all_emas_in_trend - True
  34. all_emas_and_price_in_trend - True
  35. rsi - 0.645709
  36. kc_percentage - 1.04466
  37. kc_width_percentage - 0.0273032
    38. ¸

Short Trade on BIGTIME

The 07 Apr 2025 at 14:01:51

With 13184.7 BIGTIME at 0.05459$ per unit.

Position size of 719.7528 $

Take profit at 0.05368 (1.67 %) and Stop Loss at 0.0552 (1.12 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -2.31 %

Symbol Start at Seach Score Trade Score Trades Count
WLD 2025-05-31 08:14:56 0.92 -100 1
WLD 2025-07-04 23:29:54 0.8933 30 1
GALA 2025-07-04 23:27:02 0.9159 30 1
POPCAT 2025-06-26 20:38:21 0.9067 50 1
KAS 2025-05-31 08:35:45 0.9022 -100 2
S 2025-06-06 03:27:51 0.8996 40 1
BANANAS31 2025-07-12 17:22:06 0.8988 -100 1
POL 2025-06-13 08:32:51 0.8976 70 1
SAFE 2025-07-06 15:49:37 0.8966 60 1
ENA 2025-07-04 23:09:04 0.896 30 1
RENDER 2025-05-31 08:16:44 0.8957 30 1
STX 2025-06-06 03:30:14 0.8947 30 1
AI16Z 2025-05-31 08:58:35 0.8931 -100 1

📌 Time Data

Start at Closed at Duration
07 Apr 2025
14:01:51		 07 Apr 2025
15:40:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05459 0.0552 0.05368 1.49 0.05637
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 0.05459
  • Stop Loss: 0.0552
  • Take Profit: 0.05368

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0552 - 0.05459 = 0.00061

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05459 - 0.05368 = 0.00091

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00091 / 0.00061 = 1.4918

📌 Position Size

Amount Margin Quantity Leverage
719.7528 100 13184.7 7.20
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 0.00061

Taille de position = 8 / 0.00061 = 13114.75

Taille de position USD = 13114.75 x 0.05459 = 715.93

Donc, tu peux acheter 13114.75 avec un stoploss a 0.0552

Avec un position size USD de 715.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13114.75 x 0.00061 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 13114.75 x 0.00091 = 11.93

Si Take Profit atteint, tu gagneras 11.93$

Résumé

  • Taille de position 13114.75
  • Taille de position USD 715.93
  • Perte potentielle 8
  • Gain potentiel 11.93
  • Risk-Reward Ratio 1.4918

📌 Peformances

TP % Target TP $ Target
1.67 % 12 $
SL % Target SL $ Target
1.12 % 8.04 $
PNL PNL %
12 $ 1.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5678695731819 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.05337
            [stop_loss] => 0.0552
            [rr_ratio] => 2
            [closed_at] => 2025-04-07 17:55:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.053065
            [stop_loss] => 0.0552
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-07 17:55:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.05276
            [stop_loss] => 0.0552
            [rr_ratio] => 3
            [closed_at] => 2025-04-07 17:55:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.052455
            [stop_loss] => 0.0552
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-07 17:55:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.05215
            [stop_loss] => 0.0552
            [rr_ratio] => 4
            [closed_at] => 2025-04-07 17:55:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.051845
            [stop_loss] => 0.0552
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-07 17:55:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.05154
            [stop_loss] => 0.0552
            [rr_ratio] => 5
            [closed_at] => 2025-04-07 17:55:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.051235
            [stop_loss] => 0.0552
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-07 17:55:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.05093
            [stop_loss] => 0.0552
            [rr_ratio] => 6
            [closed_at] => 2025-04-07 17:55:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.050625
            [stop_loss] => 0.0552
            [rr_ratio] => 6.5
            [closed_at] => 2025-04-07 17:55:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.05032
            [stop_loss] => 0.0552
            [rr_ratio] => 7
            [closed_at] => 2025-04-07 17:55:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00111
            [max_drawdown] => 0.00031
            [rr_ratio] => 3.58
            [high] => 0.05490000
            [low] => 0.05348000
            [mfe_pct] => 2.03
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 3.58
            [candles_analyzed] => 24
            [start_at] => 2025-04-07T14:01:51-04:00
            [end_at] => 2025-04-07T16:01:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00118
            [max_drawdown] => 0.00463
            [rr_ratio] => 0.25
            [high] => 0.05922000
            [low] => 0.05341000
            [mfe_pct] => 2.16
            [mae_pct] => 8.48
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 72
            [start_at] => 2025-04-07T14:01:51-04:00
            [end_at] => 2025-04-07T20:01:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05715000
            [high_after] => 0.05922000
            [low_before] => 0.05239000
            [low_after] => 0.05341000
            [is_new_high] => 
            [is_new_low] => 
        )

)