Short Trade on BROCCOLIF3B
The 28 Mar 2025 at 17:34:54
With 47073.4588 BROCCOLIF3B at 0.00673$ per unit.
Position size of 316.8044 $
Take profit at 0.006475 (3.79 %) and Stop Loss at 0.0069 (2.53 %)
That's a 1.5 RR TradeTrade
sell - BROCCOLIF3B
Status
loss
2025-03-28 17:34:54
1 hour
PNL
-2.99
Entry: 0.00673
Last: 0.00690000
📌 Similar Trades
Similar Trade Score: -28.18 %
📌 Time Data
| Start at | Closed at | Duration |
|---|---|---|
| 28 Mar 2025 17:34:54 |
28 Mar 2025 18:55:00 |
1 hour |
📌 Entry & Exit
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.00673 | 0.0069 | 0.006475 | 1.5 | 0.00972 |
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 0.00673
- Stop Loss: 0.0069
- Take Profit: 0.006475
Calcul:
-
Risque (distance jusqu'au stop loss) :
SL - E = 0.0069 - 0.00673 = 0.00017
-
Récompense (distance jusqu'au take profit):
E - TP = 0.00673 - 0.006475 = 0.000255
-
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.000255 / 0.00017 = 1.5
📌 Position Size
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 316.8044 | 316.8044 | 47073.4588 | 3.17 |
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 0.00017
Taille de position = 8 / 0.00017 = 47058.82
Taille de position USD = 47058.82 x 0.00673 = 316.71
Donc, tu peux acheter 47058.82 avec un stoploss a 0.0069
Avec un position size USD de 316.71$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 47058.82 x 0.00017 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 47058.82 x 0.000255 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
- Taille de position 47058.82
- Taille de position USD 316.71
- Perte potentielle 8
- Gain potentiel 12
- Risk-Reward Ratio 1.5
📌 Peformances
| TP % Target | TP $ Target |
|---|---|
| 3.79 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 2.53 % | 8 $ |
| PNL | PNL % |
|---|---|
| -9.46 $ | -2.99 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| 0 % | 0 % | 0 |
📌 ML Extra Data
Extra TP Data
Array
(
)
Extra SL data
Array
(
[1.1] => Array
(
[take_profit] => 0.006475
[entry_price] => 0.00673
[stop_loss] => 0.006917
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-03-28 18:55:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.006475
[entry_price] => 0.00673
[stop_loss] => 0.006934
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-03-28 18:55:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.006475
[entry_price] => 0.00673
[stop_loss] => 0.006951
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-03-28 18:55:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.006475
[entry_price] => 0.00673
[stop_loss] => 0.006985
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-03-28 18:55:00
[result] => loss
)
)
Extra Pullback data
Array
(
[short_term] => Array
(
[max_gain] => 0.000148
[max_drawdown] => 0.000199
[rr_ratio] => 0.74
[high] => 0.00692900
[low] => 0.00658200
[mfe_pct] => 2.2
[mae_pct] => 2.96
[mfe_mae_ratio] => 0.74
[candles_analyzed] => 24
[start_at] => 2025-03-28T17:34:54-04:00
[end_at] => 2025-03-28T19:34:54-04:00
)
[long_term] => Array
(
[max_gain] => 0.000148
[max_drawdown] => 0.000199
[rr_ratio] => 0.74
[high] => 0.00692900
[low] => 0.00658200
[mfe_pct] => 2.2
[mae_pct] => 2.96
[mfe_mae_ratio] => 0.74
[candles_analyzed] => 72
[start_at] => 2025-03-28T17:34:54-04:00
[end_at] => 2025-03-28T23:34:54-04:00
)
[breakout] => Array
(
[high_before] => 0.00730100
[high_after] => 0.00692900
[low_before] => 0.00600000
[low_after] => 0.00658200
[is_new_high] =>
[is_new_low] =>
)
)