Long Trade on PYTH 06 Sep 2025 at 05:33:48
Take profit at 0.1595 (1.53 %) and Stop Loss at 0.1559 (0.76 %)
Long Trade on PYTH 06 Sep 2025 at 05:33:48
Take profit at 0.1595 (1.53 %) and Stop Loss at 0.1559 (0.76 %)
Position size of 1032.027 $
Take profit at 0.1595 (1.53 %) and Stop Loss at 0.1559 (0.76 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.82 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.72 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.67 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : range rules_regime : range_medium rules_regime_5m : range_low |
1H_regime : bull_high 15m_regime : bull_high 5m_regime : bear_medium |
| BTC Correlation | Score |
|---|---|
|
5m : 0.219372 15m : -0.114644 1H : -0.142169 |
0 |
Indicators:
110786
-0.000652087
110714
0.219372
111188
-0.00426502
110714
-0.114644
110973
-0.00234252
110714
-0.142169
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 06 Sep 2025 05:33:48 |
06 Sep 2025 10:00:00 |
4 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1571 | 0.1559 | 0.1595 | 2 | 0.0482 |
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 = 0.1559 - 0.1571 = -0.0012
Récompense (distance jusqu'au take profit):
E - TP = 0.1571 - 0.1595 = -0.0024
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0024 / -0.0012 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1032.027 | 100 | 6569.2364 | 10.32 |
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 / -0.0012 = -6666.67
Taille de position USD = -6666.67 x 0.1571 = -1047.33
Donc, tu peux acheter -6666.67 avec un stoploss a 0.1559
Avec un position size USD de -1047.33$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -6666.67 x -0.0012 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -6666.67 x -0.0024 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.53 % | 15.77 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.76 % | 7.88 $ |
| PNL | PNL % |
|---|---|
| 15.77 $ | 1.53 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.6365 % | 83.33 % | 23 |
Array
(
[2] => Array
(
[take_profit] => 0.1595
[stop_loss] => 0.1559
[rr_ratio] => 2
[closed_at] => 2025-09-06 10:00:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.1601
[stop_loss] => 0.1559
[rr_ratio] => 2.5
[closed_at] => 2025-09-06 10:05:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.1607
[stop_loss] => 0.1559
[rr_ratio] => 3
[closed_at] => 2025-09-06 10:05:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.1613
[stop_loss] => 0.1559
[rr_ratio] => 3.5
[closed_at] => 2025-09-06 10:05:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.1619
[stop_loss] => 0.1559
[rr_ratio] => 4
[closed_at] => 2025-09-06 10:10:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0018
[max_drawdown] => 0.001
[rr_ratio] => 1.8
[high] => 0.15890000
[low] => 0.15610000
[mfe_pct] => 1.15
[mae_pct] => 0.64
[mfe_mae_ratio] => 1.8
[candles_analyzed] => 24
[start_at] => 2025-09-06T05:33:48-04:00
[end_at] => 2025-09-06T07:33:48-04:00
)
[long_term] => Array
(
[max_gain] => 0.0081
[max_drawdown] => 0.001
[rr_ratio] => 8.1
[high] => 0.16520000
[low] => 0.15610000
[mfe_pct] => 5.16
[mae_pct] => 0.64
[mfe_mae_ratio] => 8.1
[candles_analyzed] => 84
[start_at] => 2025-09-06T05:33:48-04:00
[end_at] => 2025-09-06T12:33:48-04:00
)
[breakout] => Array
(
[high_before] => 0.16410000
[high_after] => 0.16240000
[low_before] => 0.15700000
[low_after] => 0.15610000
[is_new_high] =>
[is_new_low] =>
)
)