Short Trade on CYBER 01 Sep 2025 at 21:09:42
Take profit at 1.747 (0.76 %) and Stop Loss at 1.7692 (0.51 %)
Short Trade on CYBER 01 Sep 2025 at 21:09:42
Take profit at 1.747 (0.76 %) and Stop Loss at 1.7692 (0.51 %)
Position size of 1586.812 $
Take profit at 1.747 (0.76 %) and Stop Loss at 1.7692 (0.51 %)
That's a 1.49 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.59 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.48 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.74 |
| BTC Market Regime | Coin Market Regime |
|---|---|
|
ml_regime : range rules_regime : range_medium rules_regime_5m : range_low |
| BTC Correlation | Score |
|---|---|
|
5m : 0.521246 15m : 0.007183 1H : -0.14175 |
0 |
Indicators:
108710
0.00424995
109172
0.521246
108569
0.00555687
109172
0.007183
109255
-0.000756153
109172
-0.14175
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 01 Sep 2025 21:09:42 |
01 Sep 2025 21:45:00 |
35 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 1.7603 | 1.7692 | 1.747 | 1.49 | 0.5386 |
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 = 1.7692 - 1.7603 = 0.0089000000000001
Récompense (distance jusqu'au take profit):
E - TP = 1.7603 - 1.747 = 0.0133
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0133 / 0.0089000000000001 = 1.4944
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1586.812 | 100 | 901.4441 | 15.87 |
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 / 0.0089000000000001 = 898.88
Taille de position USD = 898.88 x 1.7603 = 1582.3
Donc, tu peux acheter 898.88 avec un stoploss a 1.7692
Avec un position size USD de 1582.3$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 898.88 x 0.0089000000000001 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 898.88 x 0.0133 = 11.96
Si Take Profit atteint, tu gagneras 11.96$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.76 % | 11.99 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.51 % | 8.02 $ |
| PNL | PNL % |
|---|---|
| -8.02 $ | -0.51 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.6306 % | 124.72 % | 3 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 1.747
[entry_price] => 1.7603
[stop_loss] => 1.77009
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-09-01 21:45:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 1.747
[entry_price] => 1.7603
[stop_loss] => 1.77098
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-09-01 21:45:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 1.747
[entry_price] => 1.7603
[stop_loss] => 1.77187
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-09-01 21:50:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 1.747
[entry_price] => 1.7603
[stop_loss] => 1.77365
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-09-01 22:50:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0101
[max_drawdown] => 0.0278
[rr_ratio] => 0.36
[high] => 1.78810000
[low] => 1.75020000
[mfe_pct] => 0.57
[mae_pct] => 1.58
[mfe_mae_ratio] => 0.36
[candles_analyzed] => 24
[start_at] => 2025-09-01T21:09:42-04:00
[end_at] => 2025-09-01T23:09:42-04:00
)
[long_term] => Array
(
[max_gain] => 0.0101
[max_drawdown] => 0.0386
[rr_ratio] => 0.26
[high] => 1.79890000
[low] => 1.75020000
[mfe_pct] => 0.57
[mae_pct] => 2.19
[mfe_mae_ratio] => 0.26
[candles_analyzed] => 84
[start_at] => 2025-09-01T21:09:42-04:00
[end_at] => 2025-09-02T04:09:42-04:00
)
[breakout] => Array
(
[high_before] => 1.76360000
[high_after] => 1.79890000
[low_before] => 1.70620000
[low_after] => 1.75020000
[is_new_high] =>
[is_new_low] =>
)
)