Short Trade on TSTBSC 08 Aug 2025 at 03:48:31
Take profit at 0.02607 (1.14 %) and Stop Loss at 0.02657 (0.76 %)
Short Trade on TSTBSC 08 Aug 2025 at 03:48:31
Take profit at 0.02607 (1.14 %) and Stop Loss at 0.02657 (0.76 %)
Position size of 1061.9347 $
Take profit at 0.02607 (1.14 %) and Stop Loss at 0.02657 (0.76 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.93 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.59 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.63 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.291238 |
Indicators:
116800
0.000341185
116840
0.291238
116434
0.00348379
116840
115255
0.0137492
116840
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 08 Aug 2025 03:48:31 |
08 Aug 2025 03:50:00 |
1 minute |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.02637 | 0.02657 | 0.02607 | 1.5 | 0.00984 |
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 = 0.02657 - 0.02637 = 0.0002
Récompense (distance jusqu'au take profit):
E - TP = 0.02637 - 0.02607 = 0.0003
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0003 / 0.0002 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1061.9347 | 100 | 40270.5598 | 10.62 |
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 / 0.0002 = 40000
Taille de position USD = 40000 x 0.02637 = 1054.8
Donc, tu peux acheter 40000 avec un stoploss a 0.02657
Avec un position size USD de 1054.8$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 40000 x 0.0002 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 40000 x 0.0003 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.14 % | 12.08 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.76 % | 8.05 $ |
| PNL | PNL % |
|---|---|
| -8.05 $ | -0.76 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.2893 % | 170 % | 1 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.02607
[entry_price] => 0.02637
[stop_loss] => 0.02659
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-08 03:50:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.02607
[entry_price] => 0.02637
[stop_loss] => 0.02661
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-08 03:50:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.02607
[entry_price] => 0.02637
[stop_loss] => 0.02663
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-08 03:50:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.02607
[entry_price] => 0.02637
[stop_loss] => 0.02667
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-08 03:50:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 8.0E-5
[max_drawdown] => 0.00043
[rr_ratio] => 0.19
[high] => 0.02680000
[low] => 0.02629000
[mfe_pct] => 0.3
[mae_pct] => 1.63
[mfe_mae_ratio] => 0.19
[candles_analyzed] => 24
[start_at] => 2025-08-08T03:48:31-04:00
[end_at] => 2025-08-08T05:48:31-04:00
)
[long_term] => Array
(
[max_gain] => 0.00053
[max_drawdown] => 0.00051
[rr_ratio] => 1.04
[high] => 0.02688000
[low] => 0.02584000
[mfe_pct] => 2.01
[mae_pct] => 1.93
[mfe_mae_ratio] => 1.04
[candles_analyzed] => 84
[start_at] => 2025-08-08T03:48:31-04:00
[end_at] => 2025-08-08T10:48:31-04:00
)
[breakout] => Array
(
[high_before] => 0.02643000
[high_after] => 0.02688000
[low_before] => 0.02560000
[low_after] => 0.02584000
[is_new_high] =>
[is_new_low] =>
)
)