Short Trade on FIL
The 29 Mar 2025 at 00:04:35
With 704.1757 FIL at 2.833$ per unit.
Position size of 1994.9298 $
Take profit at 2.816 (0.6 %) and Stop Loss at 2.8444 (0.4 %)
That's a 1.49 RR TradeTrade
sell - FIL
Status
win
2025-03-29 00:04:35
25 minutes
PNL
0.60
Entry: 2.833
Last: 2.81600000
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: 120
ML Pullback Score: 9.46
📌 Similar Trades
Similar Trade Score: -56.25 %
📌 Time Data
| Start at | Closed at | Duration |
|---|---|---|
| 29 Mar 2025 00:04:35 |
29 Mar 2025 00:30:00 |
25 minutes |
📌 Entry & Exit
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 2.833 | 2.8444 | 2.816 | 1.49 | 2.514 |
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 2.833
- Stop Loss: 2.8444
- Take Profit: 2.816
Calcul:
-
Risque (distance jusqu'au stop loss) :
SL - E = 2.8444 - 2.833 = 0.0114
-
Récompense (distance jusqu'au take profit):
E - TP = 2.833 - 2.816 = 0.017
-
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.017 / 0.0114 = 1.4912
📌 Position Size
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1994.9298 | 1994.9298 | 704.1757 | 19.95 |
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 0.0114
Taille de position = 8 / 0.0114 = 701.75
Taille de position USD = 701.75 x 2.833 = 1988.06
Donc, tu peux acheter 701.75 avec un stoploss a 2.8444
Avec un position size USD de 1988.06$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 701.75 x 0.0114 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 701.75 x 0.017 = 11.93
Si Take Profit atteint, tu gagneras 11.93$
Résumé
- Taille de position 701.75
- Taille de position USD 1988.06
- Perte potentielle 8
- Gain potentiel 11.93
- Risk-Reward Ratio 1.4912
📌 Peformances
| TP % Target | TP $ Target |
|---|---|
| 0.6 % | 11.97 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.4 % | 8.03 $ |
| PNL | PNL % |
|---|---|
| 11.97 $ | 0.60 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| 0 % | 0 % | 0 |
📌 ML Extra Data
Extra TP Data
Array
(
[2] => Array
(
[take_profit] => 2.811
[stop_loss] => 2.844
[rr_ratio] => 2
[closed_at] => 2025-03-29 01:20:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 2.8055
[stop_loss] => 2.844
[rr_ratio] => 2.5
[closed_at] => 2025-03-29 01:25:00
[result] => win
)
[3] => Array
(
[take_profit] => 2.8
[stop_loss] => 2.844
[rr_ratio] => 3
[closed_at] => 2025-03-29 02:05:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 2.7945
[stop_loss] => 2.844
[rr_ratio] => 3.5
[closed_at] => 2025-03-29 02:05:00
[result] => win
)
[4] => Array
(
[take_profit] => 2.789
[stop_loss] => 2.844
[rr_ratio] => 4
[closed_at] => 2025-03-29 02:10:00
[result] => win
)
[4.5] => Array
(
[take_profit] => 2.7835
[stop_loss] => 2.844
[rr_ratio] => 4.5
[closed_at] => 2025-03-29 02:15:00
[result] => win
)
[5] => Array
(
[take_profit] => 2.778
[stop_loss] => 2.844
[rr_ratio] => 5
[closed_at] => 2025-03-29 02:15:00
[result] => win
)
[5.5] => Array
(
[take_profit] => 2.7725
[stop_loss] => 2.844
[rr_ratio] => 5.5
[closed_at] => 2025-03-29 03:45:00
[result] => win
)
[6] => Array
(
[take_profit] => 2.767
[stop_loss] => 2.844
[rr_ratio] => 6
[closed_at] => 2025-03-29 03:45:00
[result] => win
)
)
Extra SL data
Array
(
)
Extra Pullback data
Array
(
[short_term] => Array
(
[max_gain] => 0.031
[max_drawdown] => 0.0069999999999997
[rr_ratio] => 4.43
[high] => 2.84000000
[low] => 2.80200000
[mfe_pct] => 1.09
[mae_pct] => 0.25
[mfe_mae_ratio] => 4.43
[candles_analyzed] => 24
[start_at] => 2025-03-29T00:04:35-04:00
[end_at] => 2025-03-29T02:04:35-04:00
)
[long_term] => Array
(
[max_gain] => 0.067
[max_drawdown] => 0.0069999999999997
[rr_ratio] => 9.57
[high] => 2.84000000
[low] => 2.76600000
[mfe_pct] => 2.36
[mae_pct] => 0.25
[mfe_mae_ratio] => 9.57
[candles_analyzed] => 72
[start_at] => 2025-03-29T00:04:35-04:00
[end_at] => 2025-03-29T06:04:35-04:00
)
[breakout] => Array
(
[high_before] => 2.85300000
[high_after] => 2.84000000
[low_before] => 2.77600000
[low_after] => 2.76600000
[is_new_high] =>
[is_new_low] => 1
)
)