Trade

buy - NIL

Status
loss
2025-04-01 01:53:43
1 hour
PNL
-1.21
Entry: 0.537
Last: 0.53050000

Results

Status:
loss
Trade Type:
buy
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 3.62

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.004314
Details
  1. score: 2.07
  2. long_trend_details
  3. ema9 - 0.53214
  4. ema21 - 0.521279
  5. ema50 - 0.518892
  6. ema9_ema21_diff - 2.0834
  7. ema21_ema50_diff - 0.460032
  8. ema9_ema50_diff - 2.55302
  9. price_ema21_diff - 3.01568
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - True
  12. ¸

Long Trade on NIL

The 01 Apr 2025 at 01:53:43

With 1236.285 NIL at 0.537$ per unit.

Position size of 663.885 $

Take profit at 0.5467 (1.81 %) and Stop Loss at 0.5305 (1.21 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -2.92 %

Symbol Start at Seach Score Trade Score Trades Count
TRX 2025-07-12 01:04:26 0.9334 -53.33 3
POPCAT 2025-06-28 16:40:44 0.9297 42.5 4
LTC 2025-04-21 07:25:57 0.9314 -46.67 3
SOL 2025-08-23 04:27:53 0.9252 30 1
XAUT 2025-07-21 12:51:44 0.9217 -100 1
GOAT 2025-06-28 16:58:46 0.9198 110 1

📌 Time Data

Start at Closed at Duration
01 Apr 2025
01:53:43
01 Apr 2025
02:55:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.537 0.5305 0.5467 1.49 0.3016
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 0.537
  • Stop Loss: 0.5305
  • Take Profit: 0.5467

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5305 - 0.537 = -0.0065000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.537 - 0.5467 = -0.0096999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0096999999999999 / -0.0065000000000001 = 1.4923

📌 Position Size

Amount Margin Quantity Leverage
663.885 663.885 1236.285 6.64
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 -0.0065000000000001

Taille de position = 8 / -0.0065000000000001 = -1230.77

Taille de position USD = -1230.77 x 0.537 = -660.92

Donc, tu peux acheter -1230.77 avec un stoploss a 0.5305

Avec un position size USD de -660.92$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1230.77 x -0.0065000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1230.77 x -0.0096999999999999 = 11.94

Si Take Profit atteint, tu gagneras 11.94$

Résumé

  • Taille de position -1230.77
  • Taille de position USD -660.92
  • Perte potentielle 8
  • Gain potentiel 11.94
  • Risk-Reward Ratio 1.4923

📌 Peformances

TP % Target TP $ Target
1.81 % 11.99 $
SL % Target SL $ Target
1.21 % 8.04 $
PNL PNL %
-8.04 $ -1.21
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3594040968343 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5467
            [entry_price] => 0.537
            [stop_loss] => 0.52985
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-01 02:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5467
            [entry_price] => 0.537
            [stop_loss] => 0.5292
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-01 03:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5467
            [entry_price] => 0.537
            [stop_loss] => 0.52855
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-01 03:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5467
            [entry_price] => 0.537
            [stop_loss] => 0.52725
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-01 03:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0092
            [max_drawdown] => 0.0116
            [rr_ratio] => 0.79
            [high] => 0.54620000
            [low] => 0.52540000
            [mfe_pct] => 1.71
            [mae_pct] => 2.16
            [mfe_mae_ratio] => 0.79
            [candles_analyzed] => 24
            [start_at] => 2025-04-01T01:53:43-04:00
            [end_at] => 2025-04-01T03:53:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0264
            [max_drawdown] => 0.016
            [rr_ratio] => 1.65
            [high] => 0.56340000
            [low] => 0.52100000
            [mfe_pct] => 4.92
            [mae_pct] => 2.98
            [mfe_mae_ratio] => 1.65
            [candles_analyzed] => 72
            [start_at] => 2025-04-01T01:53:43-04:00
            [end_at] => 2025-04-01T07:53:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.56000000
            [high_after] => 0.56340000
            [low_before] => 0.52460000
            [low_after] => 0.52100000
            [is_new_high] => 1
            [is_new_low] => 
        )

)