Short Trade on LTC 18 May 2025 at 00:48:12
Take profit at 96.8669 (0.42 %) and Stop Loss at 97.5554 (0.28 %)
Short Trade on LTC 18 May 2025 at 00:48:12
Take profit at 96.8669 (0.42 %) and Stop Loss at 97.5554 (0.28 %)
Position size of 2825.9573 $
Take profit at 96.8669 (0.42 %) and Stop Loss at 97.5554 (0.28 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.51 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.36 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.725652 |
Indicators:
103208
0.00163957
103377
0.725652
103155
0.00215068
103377
103335
0.000405538
103377
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 18 May 2025 00:48:12 |
18 May 2025 01:10:00 |
21 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 97.28 | 97.5554 | 96.8669 | 1.5 | 55.92 |
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:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 97.5554 - 97.28 = 0.2754
Récompense (distance jusqu'au take profit):
E - TP = 97.28 - 96.8669 = 0.4131
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.4131 / 0.2754 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2825.9573 | 100 | 29.0497 | 28.26 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
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:
Taille de position = 8 / 0.2754 = 29.05
Taille de position USD = 29.05 x 97.28 = 2825.98
Donc, tu peux acheter 29.05 avec un stoploss a 97.5554
Avec un position size USD de 2825.98$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 29.05 x 0.2754 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 29.05 x 0.4131 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.42 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.28 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8.13 $ | -0.29 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.3186677631579 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 96.87
[entry_price] => 97.28
[stop_loss] => 97.588
[rr_ratio] => 1.33
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-18 01:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 96.87
[entry_price] => 97.28
[stop_loss] => 97.616
[rr_ratio] => 1.22
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-18 01:15:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 96.87
[entry_price] => 97.28
[stop_loss] => 97.644
[rr_ratio] => 1.13
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-18 01:15:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 96.87
[entry_price] => 97.28
[stop_loss] => 97.7
[rr_ratio] => 0.98
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-18 01:15:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.090000000000003
[max_drawdown] => 1.01
[rr_ratio] => 0.09
[high] => 98.29000000
[low] => 97.19000000
[mfe_pct] => 0.09
[mae_pct] => 1.04
[mfe_mae_ratio] => 0.09
[candles_analyzed] => 24
[start_at] => 2025-05-18T00:48:12-04:00
[end_at] => 2025-05-18T02:48:12-04:00
)
[long_term] => Array
(
[max_gain] => 0.090000000000003
[max_drawdown] => 2.01
[rr_ratio] => 0.04
[high] => 99.29000000
[low] => 97.19000000
[mfe_pct] => 0.09
[mae_pct] => 2.07
[mfe_mae_ratio] => 0.04
[candles_analyzed] => 72
[start_at] => 2025-05-18T00:48:12-04:00
[end_at] => 2025-05-18T06:48:12-04:00
)
[breakout] => Array
(
[high_before] => 97.30000000
[high_after] => 99.29000000
[low_before] => 96.07000000
[low_after] => 97.19000000
[is_new_high] =>
[is_new_low] =>
)
)