Long Trade on LQTY 11 Aug 2025 at 03:18:12
Take profit at 1.1309 (1.92 %) and Stop Loss at 1.0954 (1.28 %)
Long Trade on LQTY 11 Aug 2025 at 03:18:12
Take profit at 1.1309 (1.92 %) and Stop Loss at 1.0954 (1.28 %)
Position size of 626.5906 $
Take profit at 1.1309 (1.92 %) and Stop Loss at 1.0954 (1.28 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.7 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.64 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.66 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.27165 |
Indicators:
121167
0.00718667
122038
0.27165
119731
0.0192634
122038
117564
0.0380483
122038
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 11 Aug 2025 03:18:12 |
11 Aug 2025 03:30:00 |
11 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 1.1096 | 1.0954 | 1.1309 | 1.5 | 0.269 |
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 = 1.0954 - 1.1096 = -0.0142
Récompense (distance jusqu'au take profit):
E - TP = 1.1096 - 1.1309 = -0.0213
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0213 / -0.0142 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 626.5906 | 100 | 564.6995 | 6.27 |
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 / -0.0142 = -563.38
Taille de position USD = -563.38 x 1.1096 = -625.13
Donc, tu peux acheter -563.38 avec un stoploss a 1.0954
Avec un position size USD de -625.13$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -563.38 x -0.0142 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -563.38 x -0.0213 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.92 % | 12.03 $ |
| SL % Target | SL $ Target |
|---|---|
| 1.28 % | 8.02 $ |
| PNL | PNL % |
|---|---|
| -8.02 $ | -1.28 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.3969 % | 109.16 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 1.1309
[entry_price] => 1.1096
[stop_loss] => 1.09398
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-11 03:35:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 1.1309
[entry_price] => 1.1096
[stop_loss] => 1.09256
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-11 03:35:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 1.1309
[entry_price] => 1.1096
[stop_loss] => 1.09114
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-11 03:35:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 1.1309
[entry_price] => 1.1096
[stop_loss] => 1.0883
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-11 06:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0198
[max_drawdown] => 0.0186
[rr_ratio] => 1.06
[high] => 1.12940000
[low] => 1.09100000
[mfe_pct] => 1.78
[mae_pct] => 1.68
[mfe_mae_ratio] => 1.06
[candles_analyzed] => 24
[start_at] => 2025-08-11T03:18:12-04:00
[end_at] => 2025-08-11T05:18:12-04:00
)
[long_term] => Array
(
[max_gain] => 0.0198
[max_drawdown] => 0.0709
[rr_ratio] => 0.28
[high] => 1.12940000
[low] => 1.03870000
[mfe_pct] => 1.78
[mae_pct] => 6.39
[mfe_mae_ratio] => 0.28
[candles_analyzed] => 84
[start_at] => 2025-08-11T03:18:12-04:00
[end_at] => 2025-08-11T10:18:12-04:00
)
[breakout] => Array
(
[high_before] => 1.21060000
[high_after] => 1.12940000
[low_before] => 1.09890000
[low_after] => 1.03870000
[is_new_high] =>
[is_new_low] =>
)
)