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Trade

sell - BTC

Status
win
2025-03-29 16:04:26
1 hour
PNL
0.42
Entry: 82717.9
Last: 82367.28030000

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: 40
ML Pullback Score: 5

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 155.831
Details
  1. score: 1.07
  2. long_trend_details
  3. ema9 - 82599.5
  4. ema21 - 83139.6
  5. ema50 - 84256.2
  6. ema9_ema21_diff - -0.649561
  7. ema21_ema50_diff - -1.32524
  8. ema9_ema50_diff - -1.96619
  9. price_ema21_diff - -0.507244
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
    12. ¸

Short Trade on BTC

The 29 Mar 2025 at 16:04:26

With 0.03423 BTC at 82717.9$ per unit.

Position size of 2831.0293 $

Take profit at 82367.2803 (0.42 %) and Stop Loss at 82951.6465 (0.28 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -19 %

Symbol Start at Seach Score Trade Score Trades Count
S 2025-04-21 21:27:48 0.969 -100 2
RESOLV 2025-06-19 20:52:07 0.9707 30 1
HYPE 2025-07-01 23:30:19 0.9658 30 1
ERA 2025-08-01 04:56:00 0.9652 30 2
BNB 2025-06-22 18:51:07 0.9642 -100 2
OM 2025-05-07 21:01:04 0.9633 40 1
OM 2025-06-06 00:55:02 0.9629 -100 1
VINE 2025-08-21 21:05:28 0.9632 40 1
ETH 2025-06-06 01:15:06 0.962 40 1
AVAAI 2025-05-25 06:17:59 0.9607 -100 2

📌 Time Data

Start at Closed at Duration
29 Mar 2025
16:04:26		 29 Mar 2025
17:30:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
82717.9 82951.6465 82367.2803 1.5 112919.8
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 82717.9
  • Stop Loss: 82951.6465
  • Take Profit: 82367.2803

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 82951.6465 - 82717.9 = 233.74650000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 82717.9 - 82367.2803 = 350.6197

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 350.6197 / 233.74650000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2831.0293 2831.0293 0.03423 28.31
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 233.74650000001

Taille de position = 8 / 233.74650000001 = 0.03

Taille de position USD = 0.03 x 82717.9 = 2481.54

Donc, tu peux acheter 0.03 avec un stoploss a 82951.6465

Avec un position size USD de 2481.54$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.03 x 233.74650000001 = 7.01

Si Stop Loss atteint, tu perdras 7.01$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.03 x 350.6197 = 10.52

Si Take Profit atteint, tu gagneras 10.52$

Résumé

  • Taille de position 0.03
  • Taille de position USD 2481.54
  • Perte potentielle 7.01
  • Gain potentiel 10.52
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.42 % 12 $
SL % Target SL $ Target
0.28 % 8 $
PNL PNL %
12 $ 0.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.031553025403215 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 82260
            [stop_loss] => 82950
            [rr_ratio] => 2
            [closed_at] => 2025-03-29 18:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 82145
            [stop_loss] => 82950
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-29 21:05:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 82030
            [stop_loss] => 82950
            [rr_ratio] => 3
            [closed_at] => 2025-03-29 21:05:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 81915
            [stop_loss] => 82950
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-29 21:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 81800
            [stop_loss] => 82950
            [rr_ratio] => 4
            [closed_at] => 2025-03-29 21:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 81685
            [stop_loss] => 82950
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-29 21:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 81570
            [stop_loss] => 82950
            [rr_ratio] => 5
            [closed_at] => 2025-03-29 21:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 81455
            [stop_loss] => 82950
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-29 21:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 81340
            [stop_loss] => 82950
            [rr_ratio] => 6
            [closed_at] => 2025-03-29 21:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 81225
            [stop_loss] => 82950
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-29 21:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 81110
            [stop_loss] => 82950
            [rr_ratio] => 7
            [closed_at] => 2025-03-29 21:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 411.59999999999
            [max_drawdown] => 26.100000000006
            [rr_ratio] => 15.77
            [high] => 82744.00000000
            [low] => 82306.30000000
            [mfe_pct] => 0.5
            [mae_pct] => 0.03
            [mfe_mae_ratio] => 15.77
            [candles_analyzed] => 24
            [start_at] => 2025-03-29T16:04:26-04:00
            [end_at] => 2025-03-29T18:04:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 501
            [max_drawdown] => 302.70000000001
            [rr_ratio] => 1.66
            [high] => 83020.60000000
            [low] => 82216.90000000
            [mfe_pct] => 0.61
            [mae_pct] => 0.37
            [mfe_mae_ratio] => 1.66
            [candles_analyzed] => 72
            [start_at] => 2025-03-29T16:04:26-04:00
            [end_at] => 2025-03-29T22:04:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 82723.00000000
            [high_after] => 83020.60000000
            [low_before] => 81609.50000000
            [low_after] => 82216.90000000
            [is_new_high] => 
            [is_new_low] => 
        )

)