Short Trade on FLOW 14 Aug 2025 at 23:42:19
Take profit at 0.3905 (0.53 %) and Stop Loss at 0.394 (0.36 %)
Short Trade on FLOW 14 Aug 2025 at 23:42:19
Take profit at 0.3905 (0.53 %) and Stop Loss at 0.394 (0.36 %)
Position size of 2250.9438 $
Take profit at 0.3905 (0.53 %) and Stop Loss at 0.394 (0.36 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.61 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.67 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.78 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.654336 |
Indicators:
118401
0.00494719
118987
0.654336
119582
-0.00529172
118950
119890
-0.00753189
118987
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 14 Aug 2025 23:42:19 |
15 Aug 2025 02:00:00 |
2 hours |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.3926 | 0.394 | 0.3905 | 1.5 | 0.04977 |
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 = 0.394 - 0.3926 = 0.0014
Récompense (distance jusqu'au take profit):
E - TP = 0.3926 - 0.3905 = 0.0021
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = 0.0021 / 0.0014 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 2250.9438 | 100 | 5733.4279 | 22.51 |
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 / 0.0014 = 5714.29
Taille de position USD = 5714.29 x 0.3926 = 2243.43
Donc, tu peux acheter 5714.29 avec un stoploss a 0.394
Avec un position size USD de 2243.43$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = 5714.29 x 0.0014 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = 5714.29 x 0.0021 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.53 % | 12.04 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.36 % | 8.03 $ |
| PNL | PNL % |
|---|---|
| -8.03 $ | -0.36 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.6113 % | 171.42 % | 10 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.3905
[entry_price] => 0.3926
[stop_loss] => 0.39414
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-15 02:00:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.3905
[entry_price] => 0.3926
[stop_loss] => 0.39428
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-15 02:00:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.3905
[entry_price] => 0.3926
[stop_loss] => 0.39442
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-15 02:00:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.3905
[entry_price] => 0.3926
[stop_loss] => 0.3947
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-15 02:00:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0019
[max_drawdown] => 0.0013
[rr_ratio] => 1.46
[high] => 0.39390000
[low] => 0.39070000
[mfe_pct] => 0.48
[mae_pct] => 0.33
[mfe_mae_ratio] => 1.46
[candles_analyzed] => 24
[start_at] => 2025-08-14T23:42:19-04:00
[end_at] => 2025-08-15T01:42:19-04:00
)
[long_term] => Array
(
[max_gain] => 0.0035
[max_drawdown] => 0.0042
[rr_ratio] => 0.83
[high] => 0.39680000
[low] => 0.38910000
[mfe_pct] => 0.89
[mae_pct] => 1.07
[mfe_mae_ratio] => 0.83
[candles_analyzed] => 84
[start_at] => 2025-08-14T23:42:19-04:00
[end_at] => 2025-08-15T06:42:19-04:00
)
[breakout] => Array
(
[high_before] => 0.39380000
[high_after] => 0.39680000
[low_before] => 0.38470000
[low_after] => 0.39070000
[is_new_high] =>
[is_new_low] =>
)
)