Short Trade on PYTH 03 Nov 2025 at 22:42:09
Take profit at 0.09515 (0.89 %) and Stop Loss at 0.09642 (0.44 %)
Short Trade on PYTH 03 Nov 2025 at 22:42:09
Take profit at 0.09515 (0.89 %) and Stop Loss at 0.09642 (0.44 %)
Position size of 1809.8144 $
Take profit at 0.09515 (0.89 %) and Stop Loss at 0.09642 (0.44 %)
That's a 2.02 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.59 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.54 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.52 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bear_high rules_regime_5m : range_low |
1H_regime : bear_high 15m_regime : range_high 5m_regime : bull_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.781396 15m : -0.146548 1H : 0.135422 |
1 |
Indicators:
106703
0.00315096
107040
0.781396
107210
-0.00169555
107029
-0.146548
108636
-0.0146945
107040
0.135422
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 03 Nov 2025 22:42:09 |
03 Nov 2025 23:00:00 |
17 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.096 | 0.09642 | 0.09515 | 2.02 | 0.0519 |
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 = 0.09642 - 0.096 = 0.00042
Récompense (distance jusqu'au take profit):
E - TP = 0.096 - 0.09515 = 0.00085
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00085 / 0.00042 = 2.0238
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1809.8144 | 100 | 18852.2331 | 18.10 |
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 / 0.00042 = 19047.62
Taille de position USD = 19047.62 x 0.096 = 1828.57
Donc, tu peux acheter 19047.62 avec un stoploss a 0.09642
Avec un position size USD de 1828.57$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 19047.62 x 0.00042 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 19047.62 x 0.00085 = 16.19
Si Take Profit atteint, tu gagneras 16.19$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.89 % | 16.02 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.44 % | 7.92 $ |
| PNL | PNL % |
|---|---|
| -7.92 $ | -0.44 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.625 % | 142.86 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.09515
[entry_price] => 0.096
[stop_loss] => 0.096462
[rr_ratio] => 1.84
[sl_change_percentage] => 1.1
[closed_at] => 2025-11-03 23:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.09515
[entry_price] => 0.096
[stop_loss] => 0.096504
[rr_ratio] => 1.69
[sl_change_percentage] => 1.2
[closed_at] => 2025-11-03 23:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.09515
[entry_price] => 0.096
[stop_loss] => 0.096546
[rr_ratio] => 1.56
[sl_change_percentage] => 1.3
[closed_at] => 2025-11-03 23:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.09515
[entry_price] => 0.096
[stop_loss] => 0.09663
[rr_ratio] => 1.35
[sl_change_percentage] => 1.5
[closed_at] => 2025-11-03 23:05:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0033
[max_drawdown] => 0.0011
[rr_ratio] => 3
[high] => 0.09710000
[low] => 0.09270000
[mfe_pct] => 3.44
[mae_pct] => 1.15
[mfe_mae_ratio] => 3
[candles_analyzed] => 24
[start_at] => 2025-11-03T22:42:09-05:00
[end_at] => 2025-11-04T00:42:09-05:00
)
[long_term] => Array
(
[max_gain] => 0.0056
[max_drawdown] => 0.0011
[rr_ratio] => 5.09
[high] => 0.09710000
[low] => 0.09040000
[mfe_pct] => 5.83
[mae_pct] => 1.15
[mfe_mae_ratio] => 5.09
[candles_analyzed] => 84
[start_at] => 2025-11-03T22:42:09-05:00
[end_at] => 2025-11-04T05:42:09-05:00
)
[breakout] => Array
(
[high_before] => 0.09600000
[high_after] => 0.09710000
[low_before] => 0.09300000
[low_after] => 0.09040000
[is_new_high] =>
[is_new_low] => 1
)
)