Short Trade on DYDX 01 Sep 2025 at 02:46:53
Take profit at 0.5948 (0.62 %) and Stop Loss at 0.6009 (0.4 %)
Short Trade on DYDX 01 Sep 2025 at 02:46:53
Take profit at 0.5948 (0.62 %) and Stop Loss at 0.6009 (0.4 %)
Position size of 1967.0408 $
Take profit at 0.5948 (0.62 %) and Stop Loss at 0.6009 (0.4 %)
That's a 1.54 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.72 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.48 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.6 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.611206 |
1 |
Indicators:
107923
0.000810903
108011
0.611206
108310
-0.00276182
108011
109380
-0.0125195
108011
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Sep 2025 02:46:53 |
01 Sep 2025 03:20:00 |
33 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.5985 | 0.6009 | 0.5948 | 1.54 | 0.0962 |
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 = 0.6009 - 0.5985 = 0.0024
Récompense (distance jusqu'au take profit):
E - TP = 0.5985 - 0.5948 = 0.0037
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0037 / 0.0024 = 1.5417
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1967.0408 | 100 | 3286.6178 | 19.67 |
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 / 0.0024 = 3333.33
Taille de position USD = 3333.33 x 0.5985 = 1995
Donc, tu peux acheter 3333.33 avec un stoploss a 0.6009
Avec un position size USD de 1995$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 3333.33 x 0.0024 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 3333.33 x 0.0037 = 12.33
Si Take Profit atteint, tu gagneras 12.33$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.62 % | 12.16 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.4 % | 7.89 $ |
| PNL | PNL % |
|---|---|
| -7.89 $ | -0.40 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.5347 % | 133.34 % | 4 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.5948
[entry_price] => 0.5985
[stop_loss] => 0.60114
[rr_ratio] => 1.4
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-01 03:20:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.5948
[entry_price] => 0.5985
[stop_loss] => 0.60138
[rr_ratio] => 1.28
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-01 03:20:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.5948
[entry_price] => 0.5985
[stop_loss] => 0.60162
[rr_ratio] => 1.19
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-01 03:20:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.5948
[entry_price] => 0.5985
[stop_loss] => 0.6021
[rr_ratio] => 1.03
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-01 03:30:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0036
[max_drawdown] => 0.024
[rr_ratio] => 0.15
[high] => 0.62250000
[low] => 0.59490000
[mfe_pct] => 0.6
[mae_pct] => 4.01
[mfe_mae_ratio] => 0.15
[candles_analyzed] => 24
[start_at] => 2025-09-01T02:46:53-04:00
[end_at] => 2025-09-01T04:46:53-04:00
)
[long_term] => Array
(
[max_gain] => 0.0036
[max_drawdown] => 0.024
[rr_ratio] => 0.15
[high] => 0.62250000
[low] => 0.59490000
[mfe_pct] => 0.6
[mae_pct] => 4.01
[mfe_mae_ratio] => 0.15
[candles_analyzed] => 84
[start_at] => 2025-09-01T02:46:53-04:00
[end_at] => 2025-09-01T09:46:53-04:00
)
[breakout] => Array
(
[high_before] => 0.59910000
[high_after] => 0.62250000
[low_before] => 0.58700000
[low_after] => 0.59490000
[is_new_high] =>
[is_new_low] =>
)
)