Short Trade on OL 29 Aug 2025 at 19:08:06
Take profit at 0.03461 (0.83 %) and Stop Loss at 0.03509 (0.54 %)
Short Trade on OL 29 Aug 2025 at 19:08:06
Take profit at 0.03461 (0.83 %) and Stop Loss at 0.03509 (0.54 %)
Position size of 1451.5829 $
Take profit at 0.03461 (0.83 %) and Stop Loss at 0.03509 (0.54 %)
That's a 1.53 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.79 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.6 |
| Prediction 3 | Probability |
|---|---|
| 1 | 0.67 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : bear rules_regime : bear_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.578925 |
2 |
Indicators:
108223
0.00165786
108402
0.578925
109631
-0.0112129
108402
110573
-0.0196365
108402
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 29 Aug 2025 19:08:06 |
29 Aug 2025 19:35:00 |
26 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.0349 | 0.03509 | 0.03461 | 1.53 | 0.01148 |
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 = 0.03509 - 0.0349 = 0.00019
Récompense (distance jusqu'au take profit):
E - TP = 0.0349 - 0.03461 = 0.00029
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.00029 / 0.00019 = 1.5263
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1451.5829 | 100 | 41592.6338 | 14.52 |
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 / 0.00019 = 42105.26
Taille de position USD = 42105.26 x 0.0349 = 1469.47
Donc, tu peux acheter 42105.26 avec un stoploss a 0.03509
Avec un position size USD de 1469.47$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 42105.26 x 0.00019 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 42105.26 x 0.00029 = 12.21
Si Take Profit atteint, tu gagneras 12.21$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.83 % | 12.06 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.54 % | 7.9 $ |
| PNL | PNL % |
|---|---|
| -7.9 $ | -0.54 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.7163 % | 131.58 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.03461
[entry_price] => 0.0349
[stop_loss] => 0.035109
[rr_ratio] => 1.39
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-29 19:35:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.03461
[entry_price] => 0.0349
[stop_loss] => 0.035128
[rr_ratio] => 1.27
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-29 19:35:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.03461
[entry_price] => 0.0349
[stop_loss] => 0.035147
[rr_ratio] => 1.17
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-29 19:35:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.03461
[entry_price] => 0.0349
[stop_loss] => 0.035185
[rr_ratio] => 1.02
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-29 19:40:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00014
[max_drawdown] => 0.00151
[rr_ratio] => 0.09
[high] => 0.03641000
[low] => 0.03476000
[mfe_pct] => 0.4
[mae_pct] => 4.33
[mfe_mae_ratio] => 0.09
[candles_analyzed] => 24
[start_at] => 2025-08-29T19:08:06-04:00
[end_at] => 2025-08-29T21:08:06-04:00
)
[long_term] => Array
(
[max_gain] => 0.00014
[max_drawdown] => 0.0022
[rr_ratio] => 0.06
[high] => 0.03710000
[low] => 0.03476000
[mfe_pct] => 0.4
[mae_pct] => 6.3
[mfe_mae_ratio] => 0.06
[candles_analyzed] => 84
[start_at] => 2025-08-29T19:08:06-04:00
[end_at] => 2025-08-30T02:08:06-04:00
)
[breakout] => Array
(
[high_before] => 0.03495000
[high_after] => 0.03684000
[low_before] => 0.03391000
[low_after] => 0.03476000
[is_new_high] =>
[is_new_low] =>
)
)