Trade

buy - BIGTIME

Status
win
2025-04-11 11:00:55
1 hour
PNL
3.98
Entry: 0.07158
Last: 0.07443000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
Weak Trade
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 60
ML Pullback Score: 4.45

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.27
  4. atr: 0.001265663317
Details
  1. score: 2.27
  2. 1H
  3. ema9 - 0.072222
  4. ema21 - 0.0687297
  5. ema50 - 0.0639495
  6. price_ema9_diff - -0.00934233
  7. ema9_ema21_diff - 0.0508133
  8. ema21_ema50_diff - 0.0747481
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.572643
  12. kc_percentage - 0.667143
  13. kc_width_percentage - 0.218497
  14. ¸
  15. 15m
  16. ema9 - 0.0750477
  17. ema21 - 0.0748134
  18. ema50 - 0.0714753
  19. price_ema9_diff - -0.046352
  20. ema9_ema21_diff - 0.00313217
  21. ema21_ema50_diff - 0.0467029
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.430318
  25. kc_percentage - 0.154205
  26. kc_width_percentage - 0.135169
  27. ¸
  28. 5m
  29. ema9 - 0.0737398
  30. ema21 - 0.0754588
  31. ema50 - 0.0756096
  32. price_ema9_diff - -0.0286231
  33. ema9_ema21_diff - -0.02278
  34. ema21_ema50_diff - -0.00199428
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.243218
  38. kc_percentage - -0.271719
  39. kc_width_percentage - 0.068647
  40. ¸

Long Trade on BIGTIME

The 11 Apr 2025 at 11:00:55

With 4213.8642 BIGTIME at 0.07158$ per unit.

Position size of 301.6284 $

Take profit at 0.07443 (3.98 %) and Stop Loss at 0.06968 (2.65 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -53.33 %

Symbol Start at Seach Score Trade Score Trades Count
A 2025-06-11 03:40:48 0.9718 -100 1
NC 2025-06-29 11:31:30 0.9587 30 2
COMP 2025-04-01 08:04:43 0.9599 -100 1
BNB 2025-05-10 00:11:20 0.9537 35 2
OGN 2025-05-30 12:31:07 0.9515 55 2
ETH 2025-07-06 14:28:35 0.9527 -100 1
BTC 2025-07-06 14:28:14 0.9496 -100 1
LTC 2025-06-29 23:18:17 0.9489 -100 1
DOGE 2025-07-06 14:18:44 0.9464 -100 1

📌 Time Data

Start at Closed at Duration
11 Apr 2025
11:00:55
11 Apr 2025
12:45:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07158 0.06968 0.07443 1.5 0.06241
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 0.07158
  • Stop Loss: 0.06968
  • Take Profit: 0.07443

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06968 - 0.07158 = -0.0019

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07158 - 0.07443 = -0.00285

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00285 / -0.0019 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
301.6284 100 4213.8642 3.02
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 -0.0019

Taille de position = 8 / -0.0019 = -4210.53

Taille de position USD = -4210.53 x 0.07158 = -301.39

Donc, tu peux acheter -4210.53 avec un stoploss a 0.06968

Avec un position size USD de -301.39$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4210.53 x -0.0019 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4210.53 x -0.00285 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -4210.53
  • Taille de position USD -301.39
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
3.98 % 12.01 $
SL % Target SL $ Target
2.65 % 8.01 $
PNL PNL %
12.01 $ 3.98
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.9977647387538 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.07538
            [stop_loss] => 0.06968
            [rr_ratio] => 2
            [closed_at] => 2025-04-11 14:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.07633
            [stop_loss] => 0.06968
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-11 14:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.07728
            [stop_loss] => 0.06968
            [rr_ratio] => 3
            [closed_at] => 2025-04-11 15:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00336
            [max_drawdown] => 0.00143
            [rr_ratio] => 2.35
            [high] => 0.07494000
            [low] => 0.07015000
            [mfe_pct] => 4.69
            [mae_pct] => 2
            [mfe_mae_ratio] => 2.35
            [candles_analyzed] => 24
            [start_at] => 2025-04-11T11:00:55-04:00
            [end_at] => 2025-04-11T13:00:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00614
            [max_drawdown] => 0.00143
            [rr_ratio] => 4.29
            [high] => 0.07772000
            [low] => 0.07015000
            [mfe_pct] => 8.58
            [mae_pct] => 2
            [mfe_mae_ratio] => 4.29
            [candles_analyzed] => 72
            [start_at] => 2025-04-11T11:00:55-04:00
            [end_at] => 2025-04-11T17:00:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08171000
            [high_after] => 0.07772000
            [low_before] => 0.07130000
            [low_after] => 0.07015000
            [is_new_high] => 
            [is_new_low] => 
        )

)