Short Trade on TURBO 14 Aug 2025 at 22:00:45
Take profit at 0.004433 (0.85 %) and Stop Loss at 0.004496 (0.56 %)
Short Trade on TURBO 14 Aug 2025 at 22:00:45
Take profit at 0.004433 (0.85 %) and Stop Loss at 0.004496 (0.56 %)
Position size of 1410.5877 $
Take profit at 0.004433 (0.85 %) and Stop Loss at 0.004496 (0.56 %)
That's a 1.52 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.91 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.9 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.56 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.608561 |
Indicators:
118105
0.00447217
118633
0.608561
119659
-0.00857857
118633
119929
-0.0108093
118633
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 14 Aug 2025 22:00:45 |
14 Aug 2025 22:05:00 |
4 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.004471 | 0.004496 | 0.004433 | 1.52 | 0.001033 |
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 = 0.004496 - 0.004471 = 2.5E-5
Récompense (distance jusqu'au take profit):
E - TP = 0.004471 - 0.004433 = 3.8E-5
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 3.8E-5 / 2.5E-5 = 1.52
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1410.5877 | 100 | 315497.1481 | 14.11 |
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 / 2.5E-5 = 320000
Taille de position USD = 320000 x 0.004471 = 1430.72
Donc, tu peux acheter 320000 avec un stoploss a 0.004496
Avec un position size USD de 1430.72$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 320000 x 2.5E-5 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 320000 x 3.8E-5 = 12.16
Si Take Profit atteint, tu gagneras 12.16$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.85 % | 11.99 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.56 % | 7.89 $ |
| PNL | PNL % |
|---|---|
| -7.89 $ | -0.56 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.7828 % | 139.99 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.004433
[entry_price] => 0.004471
[stop_loss] => 0.0044985
[rr_ratio] => 1.38
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-14 22:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.004433
[entry_price] => 0.004471
[stop_loss] => 0.004501
[rr_ratio] => 1.27
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-14 22:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.004433
[entry_price] => 0.004471
[stop_loss] => 0.0045035
[rr_ratio] => 1.17
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-14 22:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.004433
[entry_price] => 0.004471
[stop_loss] => 0.0045085
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-14 22:10:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 2.7E-5
[max_drawdown] => 5.3E-5
[rr_ratio] => 0.51
[high] => 0.00452400
[low] => 0.00444400
[mfe_pct] => 0.6
[mae_pct] => 1.19
[mfe_mae_ratio] => 0.51
[candles_analyzed] => 24
[start_at] => 2025-08-14T22:00:45-04:00
[end_at] => 2025-08-15T00:00:45-04:00
)
[long_term] => Array
(
[max_gain] => 4.8E-5
[max_drawdown] => 5.3E-5
[rr_ratio] => 0.91
[high] => 0.00452400
[low] => 0.00442300
[mfe_pct] => 1.07
[mae_pct] => 1.19
[mfe_mae_ratio] => 0.91
[candles_analyzed] => 84
[start_at] => 2025-08-14T22:00:45-04:00
[end_at] => 2025-08-15T05:00:45-04:00
)
[breakout] => Array
(
[high_before] => 0.00448500
[high_after] => 0.00452400
[low_before] => 0.00429100
[low_after] => 0.00442300
[is_new_high] =>
[is_new_low] =>
)
)