Long Trade on PYTH 17 Sep 2025 at 22:32:18
Take profit at 0.1672 (0.91 %) and Stop Loss at 0.1649 (0.48 %)
Long Trade on PYTH 17 Sep 2025 at 22:32:18
Take profit at 0.1672 (0.91 %) and Stop Loss at 0.1649 (0.48 %)
Position size of 1746.9663 $
Take profit at 0.1672 (0.91 %) and Stop Loss at 0.1649 (0.48 %)
That's a 1.88 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.67 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.51 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.68 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : neutral rules_regime : bull_medium rules_regime_5m : range_low |
1H_regime : bull_high 15m_regime : range_medium 5m_regime : bear_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.657357 15m : 0.045405 1H : 0.116004 |
1 |
Indicators:
116157
0.00240271
116436
0.657357
116226
0.00180227
116436
0.045405
115903
0.00459647
116436
0.116004
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 17 Sep 2025 22:32:18 |
17 Sep 2025 22:55:00 |
22 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1657 | 0.1649 | 0.1672 | 1.88 | 0.0494 |
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 = 0.1649 - 0.1657 = -0.0008
Récompense (distance jusqu'au take profit):
E - TP = 0.1657 - 0.1672 = -0.0015
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0015 / -0.0008 = 1.875
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1746.9663 | 100 | 10542.9469 | 17.47 |
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 / -0.0008 = -10000
Taille de position USD = -10000 x 0.1657 = -1657
Donc, tu peux acheter -10000 avec un stoploss a 0.1649
Avec un position size USD de -1657$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -10000 x -0.0008 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -10000 x -0.0015 = 15
Si Take Profit atteint, tu gagneras 15$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.91 % | 15.81 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.48 % | 8.43 $ |
| PNL | PNL % |
|---|---|
| 15.81 $ | 0.91 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.1811 % | 37.51 % | 1 |
Array
(
[2] => Array
(
[take_profit] => 0.1673
[stop_loss] => 0.1649
[rr_ratio] => 2
[closed_at] => 2025-09-17 22:55:00
[result] => win
)
[2.5] => Array
(
[take_profit] => 0.1677
[stop_loss] => 0.1649
[rr_ratio] => 2.5
[closed_at] => 2025-09-17 23:05:00
[result] => win
)
[3] => Array
(
[take_profit] => 0.1681
[stop_loss] => 0.1649
[rr_ratio] => 3
[closed_at] => 2025-09-17 23:05:00
[result] => win
)
[3.5] => Array
(
[take_profit] => 0.1685
[stop_loss] => 0.1649
[rr_ratio] => 3.5
[closed_at] => 2025-09-17 23:10:00
[result] => win
)
)
Array
(
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0031
[max_drawdown] => 0.00029999999999999
[rr_ratio] => 10.33
[high] => 0.16880000
[low] => 0.16540000
[mfe_pct] => 1.87
[mae_pct] => 0.18
[mfe_mae_ratio] => 10.33
[candles_analyzed] => 24
[start_at] => 2025-09-17T22:32:18-04:00
[end_at] => 2025-09-18T00:32:18-04:00
)
[long_term] => Array
(
[max_gain] => 0.0052
[max_drawdown] => 0.00029999999999999
[rr_ratio] => 17.33
[high] => 0.17090000
[low] => 0.16540000
[mfe_pct] => 3.14
[mae_pct] => 0.18
[mfe_mae_ratio] => 17.33
[candles_analyzed] => 84
[start_at] => 2025-09-17T22:32:18-04:00
[end_at] => 2025-09-18T05:32:18-04:00
)
[breakout] => Array
(
[high_before] => 0.17110000
[high_after] => 0.16880000
[low_before] => 0.16540000
[low_after] => 0.16540000
[is_new_high] =>
[is_new_low] =>
)
)