Long Trade on BCH

The 04 Apr 2025 at 06:31:27

With 5.7717 BCH at 304.53$ per unit.

Position size of 1757.6436 $

Take profit at 306.6091 (0.68 %) and Stop Loss at 303.1439 (0.46 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.08
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.26
  4. atr: 0.9240553719
Details
  1. score: 2.26
  2. 1H
  3. ema9 - 305.647
  4. ema21 - 303.433
  5. ema50 - 302.881
  6. price_ema9_diff - -0.00368237
  7. ema9_ema21_diff - 0.00729564
  8. ema21_ema50_diff - 0.00182297
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.530152
  12. kc_percentage - 0.576846
  13. kc_width_percentage - 0.0426697
  14. ¸
  15. 15m
  16. ema9 - 307.507
  17. ema21 - 307.08
  18. ema50 - 304.752
  19. price_ema9_diff - -0.00969709
  20. ema9_ema21_diff - 0.00139176
  21. ema21_ema50_diff - 0.00763724
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.408786
  25. kc_percentage - 0.0581194
  26. kc_width_percentage - 0.0195541
  27. ¸
  28. 5m
  29. ema9 - 306.679
  30. ema21 - 307.638
  31. ema50 - 307.607
  32. price_ema9_diff - -0.00698696
  33. ema9_ema21_diff - -0.00311854
  34. ema21_ema50_diff - 0.000103496
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. rsi - 0.231414
  38. kc_percentage - -0.26398
  39. kc_width_percentage - 0.0131964
  40. ¸

📌 Time Data

Start at Closed at Duration
04 Apr 2025
06:31:27
04 Apr 2025
06:40:00
8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
304.53 303.1439 306.6091 1.5 567.79
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 304.53
  • Stop Loss: 303.1439
  • Take Profit: 306.6091

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 303.1439 - 304.53 = -1.3861

  • Récompense (distance jusqu'au take profit):

    E - TP = 304.53 - 306.6091 = -2.0791

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.0791 / -1.3861 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1757.6436 100 5.7717 17.58
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 -1.3861

Taille de position = 8 / -1.3861 = -5.77

Taille de position USD = -5.77 x 304.53 = -1757.14

Donc, tu peux acheter -5.77 avec un stoploss a 303.1439

Avec un position size USD de -1757.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5.77 x -1.3861 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5.77 x -2.0791 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -5.77
  • Taille de position USD -1757.14
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.68 % 12 $
SL % Target SL $ Target
0.46 % 8 $
PNL PNL %
-8 $ -0.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.52539979640757 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 306.6
            [entry_price] => 304.5
            [stop_loss] => 302.96
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-04 06:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 306.6
            [entry_price] => 304.5
            [stop_loss] => 302.82
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-04 06:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 306.6
            [entry_price] => 304.5
            [stop_loss] => 302.68
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-04 06:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 306.6
            [entry_price] => 304.5
            [stop_loss] => 302.4
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-04 06:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.62
            [max_drawdown] => 10.72
            [rr_ratio] => 0.06
            [high] => 305.15000000
            [low] => 293.81000000
            [mfe_pct] => 0.2
            [mae_pct] => 3.52
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 24
            [start_at] => 2025-04-04T06:31:27-04:00
            [end_at] => 2025-04-04T08:31:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.62
            [max_drawdown] => 10.72
            [rr_ratio] => 0.06
            [high] => 305.15000000
            [low] => 293.81000000
            [mfe_pct] => 0.2
            [mae_pct] => 3.52
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 72
            [start_at] => 2025-04-04T06:31:27-04:00
            [end_at] => 2025-04-04T12:31:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 309.98000000
            [high_after] => 305.15000000
            [low_before] => 303.54000000
            [low_after] => 293.81000000
            [is_new_high] => 
            [is_new_low] => 
        )

)