Long Trade on PYTH 29 Sep 2025 at 19:09:30
Take profit at 0.1492 (0.54 %) and Stop Loss at 0.148 (0.27 %)
Long Trade on PYTH 29 Sep 2025 at 19:09:30
Take profit at 0.1492 (0.54 %) and Stop Loss at 0.148 (0.27 %)
Position size of 2937.0067 $
Take profit at 0.1492 (0.54 %) and Stop Loss at 0.148 (0.27 %)
That's a 2 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.73 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.59 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.74 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bull_moderate rules_regime : bull_low rules_regime_5m : range_low |
1H_regime : bull_high 15m_regime : range_medium 5m_regime : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.524594 15m : -0.020129 1H : -0.027123 |
2 |
Indicators:
114043
0.00144627
114208
0.524594
112994
0.0107476
114208
-0.020129
110847
0.0303246
114208
-0.027123
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 29 Sep 2025 19:09:30 |
29 Sep 2025 19:10:00 |
30 seconds |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.1484 | 0.148 | 0.1492 | 2 | 0.0483 |
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 = 0.148 - 0.1484 = -0.00040000000000001
Récompense (distance jusqu'au take profit):
E - TP = 0.1484 - 0.1492 = -0.0008
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0008 / -0.00040000000000001 = 2
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2937.0067 | 100 | 19791.15 | 29.37 |
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 / -0.00040000000000001 = -20000
Taille de position USD = -20000 x 0.1484 = -2968
Donc, tu peux acheter -20000 avec un stoploss a 0.148
Avec un position size USD de -2968$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -20000 x -0.00040000000000001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -20000 x -0.0008 = 16
Si Take Profit atteint, tu gagneras 16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.54 % | 15.83 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.27 % | 7.92 $ |
| PNL | PNL % |
|---|---|
| -7.92 $ | -0.27 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.4717 % | 175.03 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.1492
[entry_price] => 0.1484
[stop_loss] => 0.14796
[rr_ratio] => 1.82
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-29 19:10:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.1492
[entry_price] => 0.1484
[stop_loss] => 0.14792
[rr_ratio] => 1.67
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-29 19:10:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.1492
[entry_price] => 0.1484
[stop_loss] => 0.14788
[rr_ratio] => 1.54
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-29 19:10:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.1492
[entry_price] => 0.1484
[stop_loss] => 0.1478
[rr_ratio] => 1.33
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-29 19:10:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0
[max_drawdown] => 0.0034
[rr_ratio] => 0
[high] => 0.14840000
[low] => 0.14500000
[mfe_pct] => 0
[mae_pct] => 2.29
[mfe_mae_ratio] => 0
[candles_analyzed] => 24
[start_at] => 2025-09-29T19:09:30-04:00
[end_at] => 2025-09-29T21:09:30-04:00
)
[long_term] => Array
(
[max_gain] => 0
[max_drawdown] => 0.0045
[rr_ratio] => 0
[high] => 0.14840000
[low] => 0.14390000
[mfe_pct] => 0
[mae_pct] => 3.03
[mfe_mae_ratio] => 0
[candles_analyzed] => 84
[start_at] => 2025-09-29T19:09:30-04:00
[end_at] => 2025-09-30T02:09:30-04:00
)
[breakout] => Array
(
[high_before] => 0.15020000
[high_after] => 0.14840000
[low_before] => 0.14670000
[low_after] => 0.14390000
[is_new_high] =>
[is_new_low] =>
)
)