Long Trade on PYTH 06 Sep 2025 at 05:29:03
Take profit at 0.1597 (1.59 %) and Stop Loss at 0.156 (0.76 %)
Long Trade on PYTH 06 Sep 2025 at 05:29:03
Take profit at 0.1597 (1.59 %) and Stop Loss at 0.156 (0.76 %)
Position size of 1012.025 $
Take profit at 0.1597 (1.59 %) and Stop Loss at 0.156 (0.76 %)
That's a 2.08 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.83 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.64 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.68 |
| 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 : 0.219388 15m : -0.112561 1H : -0.080944 |
0 |
Indicators:
110788
-0.00128579
110645
0.219388
111212
-0.00476791
110682
-0.112561
110972
-0.00294583
110645
-0.080944
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 06 Sep 2025 05:29:03 |
06 Sep 2025 10:00:00 |
4 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1572 | 0.156 | 0.1597 | 2.08 | 0.0484 |
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 = 0.156 - 0.1572 = -0.0012
Récompense (distance jusqu'au take profit):
E - TP = 0.1572 - 0.1597 = -0.0025
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0025 / -0.0012 = 2.0833
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1012.025 | 100 | 6437.8182 | 10.12 |
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 0.1572 = -1048
Donc, tu peux acheter -6666.67 avec un stoploss a 0.156
Avec un position size USD de -1048$
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 -0.0025 = 16.67
Si Take Profit atteint, tu gagneras 16.67$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.59 % | 16.09 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.76 % | 7.73 $ |
| PNL | PNL % |
|---|---|
| 16.09 $ | 1.59 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.6997 % | 91.66 % | 26 |
Array
(
[2] => Array
(
[take_profit] => 0.1596
[stop_loss] => 0.156
[rr_ratio] => 2
[closed_at] => 2025-09-06 10:00:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.1602
[stop_loss] => 0.156
[rr_ratio] => 2.5
[closed_at] => 2025-09-06 10:05:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.1608
[stop_loss] => 0.156
[rr_ratio] => 3
[closed_at] => 2025-09-06 10:05:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.1614
[stop_loss] => 0.156
[rr_ratio] => 3.5
[closed_at] => 2025-09-06 10:10:00
[result] => win
)
[4] => Array
(
[take_profit] => 0.162
[stop_loss] => 0.156
[rr_ratio] => 4
[closed_at] => 2025-09-06 10:10:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0017
[max_drawdown] => 0.0011
[rr_ratio] => 1.55
[high] => 0.15890000
[low] => 0.15610000
[mfe_pct] => 1.08
[mae_pct] => 0.7
[mfe_mae_ratio] => 1.55
[candles_analyzed] => 24
[start_at] => 2025-09-06T05:29:03-04:00
[end_at] => 2025-09-06T07:29:03-04:00
)
[long_term] => Array
(
[max_gain] => 0.008
[max_drawdown] => 0.0011
[rr_ratio] => 7.27
[high] => 0.16520000
[low] => 0.15610000
[mfe_pct] => 5.09
[mae_pct] => 0.7
[mfe_mae_ratio] => 7.27
[candles_analyzed] => 84
[start_at] => 2025-09-06T05:29:03-04:00
[end_at] => 2025-09-06T12:29:03-04:00
)
[breakout] => Array
(
[high_before] => 0.16410000
[high_after] => 0.16240000
[low_before] => 0.15700000
[low_after] => 0.15610000
[is_new_high] =>
[is_new_low] =>
)
)